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</div><h2>SL Paper 2</h2><div class="specification">
<p>The manager of a folder factory recorded the number of folders produced by the factory (in thousands) and the production costs (in thousand Euros), for six consecutive months.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2017-08-16_om_17.30.09.png" alt="M17/5/MATSD/SP2/ENG/TZ2/03"></p>
</div>
<div class="specification">
<p>Every month the factory sells all the folders produced. Each folder is sold for 2.99 Euros.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw a scatter diagram for this data. Use a scale of 2 cm for 5000 folders on the horizontal axis and 2 cm for 10 000 Euros on the vertical axis.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down, for this set of data the mean number of folders produced, \(\bar x\);</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down, for this set of data the mean production cost, \(\bar C\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Label the point \({\text{M}}(\bar x,{\text{ }}\bar C)\) on the scatter diagram.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your graphic display calculator to find the Pearson’s product–moment correlation coefficient, \(r\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a reason why the regression line \(C\) on \(x\) is appropriate to model the relationship between these variables.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your graphic display calculator to find the equation of the regression line \(C\) on \(x\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw the regression line \(C\) on \(x\) on the scatter diagram.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use the equation of the regression line to estimate the least number of folders that the factory needs to sell in a month to exceed its production cost for that month.</p>
<div class="marks">[4]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2017-08-17_om_06.54.04.png" alt="M17/5/MATSD/SP2/ENG/TZ2/03.a/M"> <strong><em>(A4)</em></strong></p>
<p> </p>
<p><strong>Notes:</strong> Award <strong><em>(A1) </em></strong>for correct scales and labels. Award <strong><em>(A0) </em></strong>if axes are reversed and follow through for their points.</p>
<p>Award <strong><em>(A3) </em></strong>for all six points correctly plotted, <strong><em>(A2) </em></strong>for four or five points correctly plotted, <strong><em>(A1) </em></strong>for two or three points correctly plotted.</p>
<p>If graph paper has not been used, award at most <strong><em>(A1)(A0)(A0)(A0)</em></strong>. If accuracy cannot be determined award <strong><em>(A0)(A0)(A0)(A0)</em></strong>.</p>
<p> </p>
<p><strong><em>[4 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\((\bar x = ){\text{ }}21\) <strong><em>(A1)(G1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\((\bar C = ){\text{ }}55\) <strong><em>(A1)(G1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Accept (i) 21000 and (ii) 55000 seen.</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>their mean point M labelled on diagram <strong><em>(A1)</em>(ft)<em>(G1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from part (b).</p>
<p>Award <strong><em>(A1)</em>(ft) </strong>if their part (b) is correct and their attempt at plotting \((21,{\text{ }}55)\) in part (a) is labelled M.</p>
<p>If graph paper not used, award <strong><em>(A1) </em></strong>if \((21,{\text{ }}55)\) is labelled. If their answer from part (b) is incorrect and accuracy cannot be determined, award <strong><em>(A0)</em></strong>.</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\((r = ){\text{ }}0.990{\text{ }}(0.989568 \ldots )\) <strong><em>(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(G2) </em></strong>for 0.99 seen. Award <strong><em>(G1) </em></strong>for 0.98 or 0.989. Do not accept 1.00.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>the correlation coefficient/<em>r </em>is (very) close to 1 <strong><em>(R1)</em>(ft)</strong></p>
<p><strong>OR</strong></p>
<p>the correlation is (very) strong <strong><em>(R1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from their answer to part (d).</p>
<p> </p>
<p><strong>OR</strong></p>
<p>the position of the data points on the scatter graphs suggests that the tendency is linear <strong><em>(R1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from their scatter graph in part (a).</p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(C = 1.94x + 14.2{\text{ }}(C = 1.94097 \ldots x + 14.2395 \ldots )\) <strong><em>(G2)</em></strong></p>
<p> </p>
<p><strong>Notes:</strong> Award <strong><em>(G1) </em></strong>for \(1.94x\), <strong><em>(G1) </em></strong>for 14.2.</p>
<p>Award a maximum of <strong><em>(G0)(G1) </em></strong>if the answer is not an equation.</p>
<p>Award <strong><em>(G0)(G1)</em>(ft) </strong>if gradient and \(C\)-intercept are swapped in the equation.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>straight line through their \({\text{M}}(21,{\text{ }}55)\) <strong><em>(A1)</em>(ft)</strong></p>
<p>\(C\)-intercept of the line (or extension of line) passing through \(14.2{\text{ }}( \pm 1)\) <strong><em>(A1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Notes:</strong> Follow through from part (f). In the event that the regression line is not straight (ruler not used), award <strong><em>(A0)(A1)</em>(ft) </strong>if line passes through both their \((21,{\text{ }}55)\) and \((0,{\text{ }}14.2)\), otherwise award <strong><em>(A0)(A0)</em></strong>. The line must pass <em>through </em>the midpoint, not <em>near </em>this point. If it is not clear award <strong><em>(A0)</em></strong>.</p>
<p>If graph paper is not used, award at most (A1)(ft)(A0).</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(2.99x = 1.94097 \ldots x + 14.2395 \ldots \) <strong><em>(M1)(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for \(2.99x\) seen and <strong><em>(M1) </em></strong>for equating to their equation of the regression line. Accept an inequality sign.</p>
<p>Accept a correct graphical method involving their part (f) and \(2.99x\).</p>
<p>Accept \(C = 2.99x\) drawn on their scatter graph.</p>
<p> </p>
<p>\(x = 13.5739 \ldots \) (this step may be implied by their final answer) <strong><em>(A1)</em>(ft)(G2)</strong></p>
<p>\(13\,600{\text{ }}(13\,574)\) <strong><em>(A1)</em>(ft)<em>(G3)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from their answer to (f). Use of 3 sf gives an answer of \(13\,524\).</p>
<p>Award <strong><em>(G2) </em></strong>for \({\text{13.5739}} \ldots \) or 13.524 or a value which rounds to 13500 seen without workings.</p>
<p>Award the last <strong><em>(A1)</em>(ft) </strong>for correct multiplication by 1000 <strong>and </strong>an answer satisfying revenue > <strong>their </strong>production cost.</p>
<p>Accept 13.6 thousand (folders).</p>
<p> </p>
<p><strong><em>[4 marks]</em></strong></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">A manufacturer produces <span class="s1">1500 </span>boxes of breakfast cereal every day.</p>
<p class="p1">The weights of these boxes are normally distributed with a mean of <span class="s1">502 </span>grams and a standard deviation of <span class="s1">2 </span>grams.</p>
</div>
<div class="specification">
<p class="p1">All boxes of cereal with a weight between <span class="s1">497.5 </span>grams and <span class="s1">505 </span>grams are sold. The manufacturer’s income from the sale of each box of cereal is <span class="s1">$2.00</span>.</p>
</div>
<div class="specification">
<p class="p1">The manufacturer recycles any box of cereal with a weight <strong>not </strong>between <span class="s1">497.5 </span>grams and <span class="s1">505 </span>grams. The manufacturer’s recycling cost is <span class="s1">$0.16 </span>per box.</p>
</div>
<div class="specification">
<p class="p1">A <strong>different </strong>manufacturer produces boxes of cereal with weights that are normally distributed with a mean of <span class="s1">350 </span>grams and a standard deviation of <span class="s1">1.8 </span>grams.</p>
<p class="p1">This manufacturer sells all boxes of cereal that are above a minimum weight, \(w\).</p>
<p class="p1">They sell <span class="s1">97% </span>of the cereal boxes produced.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Draw a diagram that shows this information.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Find the probability that a box of cereal, chosen at random, is sold.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Calculate the manufacturer’s expected daily income from these sales.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the manufacturer’s expected daily recycling cost.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the value of \(w\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2017-03-08_om_11.51.39.png" alt="N16/5/MATSD/SP2/ENG/TZ0/04.a/M"></p>
<p class="p2"><strong><em>(A1)(A1)</em></strong></p>
<p class="p3"> </p>
<p class="p2"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(A1) </em></strong>for bell shape with mean of <span class="s1">502</span>.</p>
<p class="p2">Award <strong><em>(A1) </em></strong>for an indication of standard deviation <em>eg </em><span class="s1">500 </span>and <span class="s1">504</span>.</p>
<p class="p3"> </p>
<p class="p2"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> \(0.921{\text{ }}(0.920968 \ldots ,{\text{ }}92.0968 \ldots \% )\)</span> <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Note: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(M1) </em></strong>for a diagram showing the correct shaded region.</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> \(1500 \times 2 \times 0.920968 \ldots \)</span> <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><span class="Apple-converted-space">\( = {\text{ }}(\$ ){\text{ }}2760{\text{ }}(2762.90 \ldots )\) </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Note: <span class="Apple-converted-space"> </span></strong>Follow through from their answer to part (b)(i).</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[4 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="Apple-converted-space">\(1500 \times 0.16 \times 0.079031 \ldots \) </span><strong><em>(M1)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(A1) </em></strong>for \(1500 \times 0.16 \times {\text{ their }}(1 - 0.920968 \ldots )\).</p>
<p class="p2"> </p>
<p class="p1"><strong>OR</strong></p>
<p class="p3"><span class="Apple-converted-space">\((1500 - 1381.45) \times 0.16\) </span><span class="s1"><strong><em>(M1)</em></strong></span></p>
<p class="p2"> </p>
<p class="p1"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(M1) </em></strong>for \((1500 - {\text{their }}1381.45) \times 0.16\).</p>
<p class="p2"> </p>
<p class="p1"><span class="Apple-converted-space">\( = (\$ )19.0{\text{ (}}18.9676 \ldots )\) </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p1"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="Apple-converted-space">\(347{\text{ }}({\text{grams}}){\text{ }}(346.614 \ldots )\) </span><strong><em>(G3)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(G2) </em></strong>for an answer that rounds to <span class="s1">346</span>.</p>
<p class="p1">Award <strong><em>(G1) </em></strong>for \(353.385 \ldots \) seen without working (for finding the top <span class="s1">3%</span>).</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 21.0px 'Times New Roman';"><span style="font-family: 'times new roman', times; font-size: medium;">As part of his IB Biology field work, Barry was asked to measure the circumference of trees, in centimetres, that were growing at different distances, in metres, from a river bank. His results are summarized in the following table.</span></p>
<p style="font: normal normal normal 21px/normal 'Times New Roman'; text-align: center; margin: 0px;"><br><img src="images/Schermafbeelding_2014-09-20_om_14.50.23.png" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State whether <em>distance from the river bank </em>is a continuous <strong>or </strong>discrete variable.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong>On graph paper, </strong>draw a scatter diagram to show Barry’s results. Use a scale of 1 cm to represent 5 m on the <em>x</em>-axis and 1 cm to represent 10 cm on the <em>y</em>-axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down</span></p>
<p><span>(i) the mean distance, \(\bar x\), of the trees from the river bank;</span></p>
<p><span>(ii) the mean circumference, \(\bar y\), of the trees.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot and label the point \({\text{M}}(\bar x,{\text{ }}\bar y)\) on your graph.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down</span></p>
<p><span>(i) the Pearson’s product–moment correlation coefficient, \(r\), for Barry’s results;</span></p>
<p><span>(ii) the equation of the regression line \(y\) on \(x\), for Barry’s results.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the regression line \(y\) on \(x\) on your graph.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong>Use the equation of the regression line</strong> \(y\) on \(x\) to estimate the circumference of a tree that is 40 m from the river bank.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>continuous <strong><em>(A1)</em></strong></span></p>
<p><span><strong><em>[1 mark]</em></strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><img src="images/graph.jpg" alt> <strong><em>(A1)(A1)(A1)(A1)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(A1) </em></strong>for labelled axes and correct scales; if axes are reversed award <strong><em>(A0) </em></strong>and follow through for their points. Award <strong><em>(A1) </em></strong>for at least 3 correct points, <strong><em>(A2) </em></strong>for at least 6 correct points, <strong><em>(A3) </em></strong>for all 9 correct points. If scales are too small or graph paper has not been used, accuracy cannot be determined; award <strong><em>(A0)</em></strong>. Do not penalize if extra points are seen.</span></p>
<p> </p>
<p><span><strong><em>[4 marks]</em></strong></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) 26 (m) <strong><em>(A1)</em></strong></span></p>
<p><span>(ii) 65 (cm) <strong><em>(A1)</em></strong></span></p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>point \({\text{M}}\) labelled, in correct position <strong><em>(A1)(A1)</em>(ft)</strong></span></p>
<p><span> </span></p>
<p><span><strong>Notes: </strong>Award <strong><em>(A1)</em>(ft) </strong>for point plotted in correct position, <strong><em>(A1) </em></strong>for point labelled \({\text{M}}\) or \((\bar x,{\text{ }}\bar y)\). Follow through from their answers to part (c).</span></p>
<p> </p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<p> </p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(-0.988\;{\text{ }}\left( {-0.988432 \ldots } \right)\) <strong><em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(G2) </em></strong>for \(-0.99\). Award <strong><em>(G1) </em></strong>for \(-0.990\).</span></p>
<p><span> Award <strong><em>(A1</em>)<em>(A0</em>) </strong>if minus sign is omitted.</span></p>
<p> </p>
<p><span>(ii) \(y = - 0.756x + 84.7\) \((y = - 0.756281 \ldots x + 84.6633 \ldots )\) <strong><em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(A1) </em></strong>for \( - 0.756x\), <strong><em>(A1) </em></strong>for \(84.7\). If the answer is not given as an equation, award a maximum of <strong><em>(A1)(A0)</em></strong>.</span></p>
<p> </p>
<p><span><strong><em>[4 marks]</em></strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>regression <strong>line </strong>through their \({\text{M}}\) <strong><em>(A1)</em>((ft)</strong></span></p>
<p><span>regression <strong>line </strong>through their \(\left( {0,85} \right)\) (accept \(85 \pm 1\)) <strong><em>(A1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Follow through from part (d). Award a maximum of <strong><em>(A1)(A0) </em></strong>if the line is not straight. Do not penalize if either the line does not meet the <em>y</em>-axis or extends into quadrants other than the first.</span></p>
<p><span> If \({\text{M}}\) is not plotted or labelled, then follow through from part (c).</span></p>
<p><span> Follow through from their <em>y</em>-intercept in part (e)(ii).</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\( - 0.756281(40) + 84.6633\) <strong><em>(M1)</em></strong></span></p>
<p><span>\( = 54.4{\text{ (cm) }}(54.4120 \ldots )\) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Accept \(54.5\) (\(54.46\)) for use of 3 sf. Accept \(54.3\) from use </span><span>of \(-0.76\) and \(84.7\).</span></p>
<p><span> Follow through from their equation in part (e)(ii) <strong>irrespective of working shown</strong>; the final answer seen must be consistent with that equation for the final <strong><em>(A1) </em></strong>to be awarded.</span></p>
<p><span> Do not accept answers taken from the graph.</span></p>
<p><span> </span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The following table shows the number of bicycles, \(x\), produced daily by a factory and their total production cost, \(y\)<span class="s1">, in US dollars (USD)</span>. The table shows data recorded over seven days.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2015-12-22_om_10.06.31.png" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) Write down the Pearson’s product–moment correlation coefficient, \(r\), for these data.</p>
<p class="p1">(ii) Hence comment on the result.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Write down the equation of the regression line \(y\) on \(x\) for these data, in the form \(y = ax + b\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Estimate the total cost, <strong>to the nearest </strong><span class="s1"><strong>USD</strong></span>, of producing \(13\)<span class="s1"> </span>bicycles on a particular day.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">All the bicycles that are produced are sold. The bicycles are sold for <span class="s1">304 USD </span><strong>each</strong>.</p>
<p class="p1">Explain why the factory does <strong>not </strong>make a profit when producing \(13\)<span class="s1"> </span>bicycles on a particular day.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">All the bicycles that are produced are sold. The bicycles are sold for <span class="s1">304 USD </span><strong>each</strong>.</p>
<p class="p1">(i) Write down an expression for the total selling price of \(x\) bicycles.</p>
<p class="p1">(ii) Write down an expression for the <strong>profit </strong>the factory makes when producing \(x\) bicycles on a particular day.</p>
<p class="p1">(iii) Find the least number of bicycles that the factory should produce, on a particular day, in order to make a profit.</p>
<div class="marks">[5]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(r = 0.985\;\;\;(0.984905 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p1"><strong>Notes: </strong>If unrounded answer is not seen, award <strong><em>(G1)(G0) </em></strong>for \(0.99\)<span class="s1"> </span>or \(0.984\). Award <strong><em>(G2) </em></strong>for \(0.98\).</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>strong, positive <span class="Apple-converted-space"> </span><strong><em>(A1)(A1)</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(y = 259.909 \ldots x + 698.648 \ldots \;\;\;(y = 260x + 699)\) <span class="Apple-converted-space"> </span><strong><em>(G1)(G1)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \(260x\) and <strong><em>(G1) </em></strong>for \(699\). If the answer is not an equation award a maximum of <strong><em>(G1)(G0)</em></strong>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(y = 259.909 \ldots \times 13 + 698.648 \ldots \) <strong><em>(M1)</em></strong></p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for substitution of \(13\) into their regression line equation from part (b).</p>
<p> </p>
<p>\(y = 4077.47 \ldots \) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p>\(y = 4077{\text{ (USD)}}\) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>Notes: </strong>Follow through from their answer to part (b). If rounded values from part (b) used, answer is \(4079\). Award the final <strong><em>(A1)</em>(ft) </strong>for a correct rounding to the nearest USD of their answer. The unrounded answer may not be seen.</p>
<p>If answer is \(4077\) and no working is seen, award <strong><em>(G2)</em></strong>.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(13 \times 304 - (4077.47) = - 125.477 \ldots \;\;\;( - 125)\;\;\;\)<strong>OR</strong></p>
<p>\(4077.47 - (13 \times 304) = 125.477 \ldots \;\;\;(125)\) <strong><em>(M1)</em></strong></p>
<p><strong>Notes: </strong>Award <strong><em>(M1) </em></strong>for calculating the difference between \(13 \times 304\) and their answer to part (c).</p>
<p>If rounded values are used in equation, answer is \( - 127\).</p>
<p> </p>
<p>profit is negative\(\;\;\;\)<strong>OR</strong>\(\;\;\;{\text{cost}} > {\text{sales}}\) <strong><em>(A1)</em></strong></p>
<p> </p>
<p><strong>OR</strong></p>
<p>\(13 \times 304 = 3952\) <strong><em>(M1)</em></strong></p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for calculating the price of \(13\) bikes.</p>
<p> </p>
<p>\(3952 < 4077.47\) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>Note: </strong>Award <strong><em>(A1) </em></strong>for showing \(3952\) is less than their part (c). This may be communicated in words. Follow through from part (c), but only if value is greater than \(3952\).</p>
<p> </p>
<p><strong>OR</strong></p>
<p>\(\frac{{4077}}{{13}} = 313.62\) <strong><em>(M1)</em></strong></p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for calculating the cost of \(1\) bicycle.</p>
<p> </p>
<p>\(313.62 > 304\) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>Note: </strong>Award <strong><em>(A1) </em></strong>for showing \(313.62\) is greater than \(304\). This may be communicated in words. Follow through from part (c), but only if value is greater than \(304\).</p>
<p> </p>
<p><strong>OR</strong></p>
<p>\(\frac{{4077}}{{304}} = 13.41\) <strong><em>(M1)</em></strong></p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for calculating the number of bicycles that should have been be sold to cover total cost.</p>
<p> </p>
<p>\(13.41 > 13\) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>Note: </strong>Award <strong><em>(A1) </em></strong>for showing \(13.41\) is greater than \(13\). This may be communicated in words. Follow through from part (c), but only if value is greater than \(13\).</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(304x\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\(304x - (259.909 \ldots x + 698.648 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(A1)</em>(ft) </strong>for difference between their answers to parts (b) and (e)(i), <strong><em>(A1)</em>(ft) </strong>for correct expression.</p>
<p class="p2"> </p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\(304x - (259.909 \ldots x + 698.648 \ldots ) > 0\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(M1) </em></strong>for comparing their expression in part (e)(ii) to \(0\). Accept an equation. Accept \(3040x - y > 0\) or equivalent.</p>
<p class="p2"> </p>
<p class="p1">\(x = 16{\text{ bicycles}}\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p1"><strong>Notes:<span class="Apple-converted-space"> </span></strong>Follow through from their answer to part (b). Answer must be a positive integer greater than \(13\)<span class="s1"> </span>for the <strong><em>(A1)</em>(ft) </strong>to be awarded.</p>
<p class="p1">Award <strong><em>(G1) </em></strong>for an answer of \(15.84\).</p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>The following table shows the average body weight, \(x\), and the average weight of the brain, \(y\), of seven species of mammal. Both measured in kilograms (kg).</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2017-08-16_om_10.57.27.png" alt="M17/5/MATSD/SP2/ENG/TZ1/01"></p>
</div>
<div class="specification">
<p>The average body weight of grey wolves is 36 kg.</p>
</div>
<div class="specification">
<p>In fact, the average weight of the brain of grey wolves is 0.120 kg.</p>
</div>
<div class="specification">
<p>The average body weight of mice is 0.023 kg.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the range of the average body weights for these seven species of mammal.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>For the data from these seven species calculate \(r\), the Pearson’s product–moment correlation coefficient;</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>For the data from these seven species describe the correlation between the average body weight and the average weight of the brain.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the equation of the regression line \(y\) on \(x\), in the form \(y = mx + c\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your regression line to estimate the average weight of the brain of grey wolves.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the percentage error in your estimate in part (d).</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State whether it is valid to use the regression line to estimate the average weight of the brain of mice. Give a reason for your answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(529 - 3\) <strong><em>(M1)</em></strong></p>
<p>\( = 526{\text{ (kg)}}\) <strong><em>(A1)(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(0.922{\text{ }}(0.921857 \ldots )\) <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(very) strong, positive <strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from part (b)(i).</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(y = 0.000986x + 0.0923{\text{ }}(y = 0.000985837 \ldots x + 0.0923391…)\) <strong><em>(A1)(A1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(A1) </em></strong>for \(0.000986x\), <strong><em>(A1) </em></strong>for 0.0923.</p>
<p>Award a maximum of <strong><em>(A1)(A0) </em></strong>if the answer is not an equation in the form \(y = mx + c\).</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(0.000985837 \ldots (36) + 0.0923391 \ldots \) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for substituting 36 into their equation.</p>
<p> </p>
<p>\(0.128{\text{ (kg) }}\left( {0.127829 \ldots {\text{ (kg)}}} \right)\) <strong><em>(</em></strong><strong><em>A1)</em>(ft)<em>(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from part (c). The final <strong><em>(A1) </em></strong>is awarded only if their answer is positive.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left| {\frac{{0.127829 \ldots - 0.120}}{{0.120}}} \right| \times 100\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for their correct substitution into percentage error formula.</p>
<p> </p>
<p>\(6.52{\text{ }}(\% ){\text{ }}\left( {6.52442...{\text{ }}(\% )} \right)\) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from part (d). Do not accept a negative answer.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Not valid <strong><em>(A1)</em></strong></p>
<p>the mouse is smaller/lighter/weighs less than the cat (lightest mammal) <strong><em>(R1)</em></strong></p>
<p><strong><em>OR</em></strong></p>
<p>as it would mean the mouse’s brain is heavier than the whole mouse <strong><em>(R1)</em></strong></p>
<p><strong><em>OR</em></strong></p>
<p>0.023 kg is outside the given data range. <strong><em>(R1)</em></strong></p>
<p><strong><em>OR</em></strong></p>
<p>Extrapolation <strong><em>(R1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Do not award <strong><em>(A1)(R0)</em></strong>. Do not accept percentage error as a reason for validity.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 21.0px 'Times New Roman';"><span style="font-family: 'times new roman', times; font-size: medium;">A group of candidates sat a Chemistry examination and a Physics examination. The candidates’ marks in the Chemistry examination are normally distributed with a mean of \(60\) and a standard deviation of \(12\).</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a diagram that shows this information.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the probability that a randomly chosen candidate who sat the Chemistry examination scored at most 60 marks.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Hee Jin scored 80 marks in the Chemistry examination.</span></p>
<p><span>Find the probability that a randomly chosen candidate who sat the Chemistry examination scored <strong>more </strong>than Hee Jin.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The candidates’ marks in the Physics examination are normally distributed with a mean of \(63\) and a standard deviation of \(10\). Hee Jin also scored \(80\) marks in the Physics examination.</span></p>
<p><span>Find the probability that a randomly chosen candidate who sat the Physics examination scored <strong>less </strong>than Hee Jin.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The candidates’ marks in the Physics examination are normally distributed with a mean of \(63\) and a standard deviation of \(10\). Hee Jin also scored \(80\) marks in the Physics examination.</span></p>
<p><span>Determine whether Hee Jin’s Physics mark, <strong>compared to the other candidates</strong>, is better than her mark in Chemistry. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>To obtain a “grade A” a candidate must be in the top \(10\% \) of the candidates who sat the Physics examination.</span></p>
<p><span>Find the minimum possible mark to obtain a “grade A”. Give your answer correct to the nearest integer.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img src="images/Schermafbeelding_2014-09-21_om_08.11.28.png" alt><span> <strong><em>(A1)(A1)</em></strong></span></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(A1) </em></strong>for rough sketch of normal curve centred at \(60\), <strong><em>(A1) </em></strong>for some indication of \(12\) as the standard deviation <em>eg</em>, as diagram, or with \(72\) and \(48\) shown on the horizontal axis in appropriate places, or for \(96\) and \(24\) shown on the horizontal axis in appropriate places.</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(0.5 \left( {\frac{1}{2},{\text{ 50% }}} \right)\) <em><strong>(A1)</strong></em></span></p>
<p><span> </span></p>
<p><span><strong>Note: </strong>Accept only the exact answer.</span></p>
<p> </p>
<p><span><strong><em>[1 mark]</em></strong></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(0.0478{\text{ }} (0.0477903...)\) <strong><em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(G1) </em></strong>for \(0.952209…\), award <strong><em>(M1)(G0) </em></strong>for diagram with correct area shown but incorrect answer.</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(0.955 {\text{ }} (0.955434...)\) <strong><em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(G1) </em></strong>for \(0.044565…\), award <strong><em>(M1)(G0) </em></strong>for diagram with correct area shown but incorrect answer.</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(0.0446 < 0.0478\) <strong><em>(R1)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(R1) </em></strong>for correct comparison seen. Accept alternative methods, for example, \(1–\) (their answer to part (c)) used in comparison or a comparison based on \(z\) scores.</span></p>
<p> </p>
<p><span>the Physics result is better <strong><em>(A1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Do not award <strong><em>(R0)(A1)</em></strong>. Follow through from their answers to part (c) and part (d).</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(76\) <strong><em>(G3)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \(75.8155…\), award <strong><em>(G2) </em></strong>for \(75\).</span></p>
<p><span> Award <strong><em>(M1)(G0) </em></strong>for diagram with correct area shown but incorrect answer.</span></p>
<p> </p>
<p><span><strong><em>[3 marks]</em></strong></span></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p>The table below shows the distribution of test grades for 50 IB students at Greendale School.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2017-08-16_om_11.25.22.png" alt="M17/5/MATSD/SP2/ENG/TZ1/05"></p>
</div>
<div class="specification">
<p>A student is chosen at random from these 50 students.</p>
</div>
<div class="specification">
<p>A second student is chosen at random from these 50 students.</p>
</div>
<div class="specification">
<p>The number of minutes that the 50 students spent preparing for the test was normally distributed with a mean of 105 minutes and a standard deviation of 20 minutes.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the mean test grade of the students;</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard deviation.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the median test grade of the students.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the interquartile range.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the probability that this student scored a grade 5 or higher.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Given that the first student chosen at random scored a grade 5 or higher, find the probability that both students scored a grade 6.</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the probability that a student chosen at random spent at least 90 minutes preparing for the test.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the expected number of students that spent at least 90 minutes preparing for the test.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{1(1) + 3(2) + 7(3) + 13(4) + 11(5) + 10(6) + 5(7)}}{{50}} = \frac{{230}}{{50}}\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for correct substitution into mean formula.</p>
<p> </p>
<p>\( = 4.6\) <strong><em>(A1)</em></strong> <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(1.46{\text{ }}(1.45602 \ldots )\) <strong><em>(G1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>5 <strong><em>(A1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(6 - 4\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for 6 and 4 seen.</p>
<p> </p>
<p>\( = 2\) <strong><em>(A1)</em></strong> <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{11 + 10 + 5}}{{50}}\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for \(11 + 10 + 5\) seen.</p>
<p> </p>
<p>\( = \frac{{26}}{{50}}{\text{ }}\left( {\frac{{13}}{{25}},{\text{ }}0.52,{\text{ }}52\% } \right)\) <strong><em>(A1)</em></strong> <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{10}}{{{\text{their }}26}} \times \frac{9}{{49}}\) <strong><em>(M1)(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for \(\frac{{10}}{{{\text{their }}26}}\) seen, <strong><em>(M1) </em></strong>for multiplying their first probability by \(\frac{9}{{49}}\).</p>
<p> </p>
<p><strong>OR</strong></p>
<p>\(\frac{{\frac{{10}}{{50}} \times \frac{9}{{49}}}}{{\frac{{26}}{{50}}}}\)</p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for \({\frac{{10}}{{50}} \times \frac{9}{{49}}}\) seen, <strong><em>(M1) </em></strong>for dividing their first probability by \(\frac{{{\text{their }}26}}{{50}}\).</p>
<p> </p>
<p>\( = \frac{{45}}{{637}}{\text{ (}}0.0706,{\text{ }}0.0706436 \ldots ,{\text{ }}7.06436 \ldots \% )\) <strong><em>(A1)</em>(ft)</strong> <strong><em>(G3)</em></strong></p>
<p> </p>
<p><strong>Note: </strong>Follow through from part (d).</p>
<p> </p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{P}}(X \geqslant 90)\) <strong><em>(M1)</em></strong></p>
<p><strong>OR</strong></p>
<p><img src="images/Schermafbeelding_2017-08-16_om_15.40.38.png" alt="M17/5/MATSD/SP2/ENG/TZ1/05.f.i/M"> <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for a diagram showing the correct shaded region \(( > 0.5)\).</p>
<p> </p>
<p>\(0.773{\text{ }}(0.773372 \ldots ){\text{ }}0.773{\text{ }}(0.773372 \ldots ,{\text{ }}77.3372 \ldots \% )\) <strong><em>(A1)</em></strong> <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(0.773372 \ldots \times 50\) <strong><em>(M1)</em></strong></p>
<p>\( = 38.7{\text{ }}(38.6686 \ldots )\) <strong><em>(A1)</em>(ft)</strong> <strong><em>(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Follow through from part (f)(i).</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>In a school, all Mathematical Studies SL students were given a test. The test contained four questions, each one on a different topic from the syllabus. The quality of each response was classified as satisfactory or not satisfactory. Each student answered only three of the four questions, each on a separate answer sheet.</p>
<p>The table below shows the number of satisfactory and not satisfactory responses for each question.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2017-08-16_om_17.16.22.png" alt="M17/5/MATSD/SP2/ENG/TZ2/01"></p>
</div>
<div class="specification">
<p>A \({\chi ^2}\) test is carried out at the 5% significance level for the data in the table.</p>
</div>
<div class="specification">
<p>The critical value for this test is 7.815.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>If the teacher chooses a response at random, find the probability that it is a response to the Calculus question;</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>If the teacher chooses a response at random, find the probability that it is a satisfactory response to the Calculus question;</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>If the teacher chooses a response at random, find the probability that it is a satisfactory response, given that it is a response to the Calculus question.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The teacher groups the responses by topic, and chooses two responses to the Logic question. Find the probability that both are not satisfactory.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the null hypothesis for this test.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Show that the expected frequency of satisfactory Calculus responses is 12.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the number of degrees of freedom for this test.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your graphic display calculator to find the \({\chi ^2}\) statistic for this data.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the conclusion of this \({\chi ^2}\) test. Give a reason for your answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{1}{5}{\text{ }}\left( {\frac{{18}}{{90}};{\text{ }}0.2;{\text{ }}20\% } \right)\) <strong><em>(A1)(A1)(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(A1) </em></strong>for correct numerator, <strong><em>(A1) </em></strong>for correct denominator.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{1}{9}{\text{ }}\left( {\frac{{10}}{{90}};{\text{ }}0{\text{.}}\bar 1;{\text{ }}0.111111 \ldots ;{\text{ }}11.1\% } \right)\) <strong><em>(A1)(A1)(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(A1) </em></strong>for correct numerator, <strong><em>(A1) </em></strong>for correct denominator.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{5}{9}{\text{ }}\left( {\frac{{10}}{{18}};{\text{ }}0.\bar 5;{\text{ }}0.555556 \ldots ;{\text{ }}55.6\% } \right)\) <strong><em>(A1)(A1)(G2)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(A1) </em></strong>for correct numerator, <strong><em>(A1) </em></strong>for correct denominator.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{6}{{20}} \times \frac{5}{{19}}\) <strong><em>(A1)(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(A1) </em></strong>for two correct fractions seen, <strong><em>(M1) </em></strong>for multiplying their two fractions.</p>
<p> </p>
<p>\(\frac{3}{{38}}{\text{ }}\left( {\frac{{30}}{{380}};{\text{ }}0.0789473 \ldots ;{\text{ }}7.89\% } \right)\) <strong><em>(A1)(G2)</em></strong></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({{\text{H}}_0}\): quality (of response) and topic (from the syllabus) are independent <strong><em>(A1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Accept there is no association between quality (of response) and topic (from the syllabus). Do not accept “not related” or “not correlated” or “influenced”.</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{18}}{{90}} \times \frac{{60}}{{90}} \times 90\)\(\,\,\,\)<strong>OR</strong>\(\,\,\,\)\(\frac{{18 \times 60}}{{90}}\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(M1) </em></strong>for correct substitution in expected value formula.</p>
<p> </p>
<p>\(( = ){\text{ }}12\) <strong><em>(AG)</em></strong></p>
<p> </p>
<p><strong>Note:</strong> The conclusion, \(( = ){\text{ }}12\), must be seen for the <strong><em>(A1) </em></strong>to be awarded.</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>3 <strong><em>(A1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\((\chi _{calc}^2 = ){\text{ }}1.46{\text{ }}(1.46\overline {36} ;{\text{ }}1.46363 \ldots )\) <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(1.46 < 7.815\)\(\,\,\,\)<strong>OR</strong>\(\,\,\,\)\(0.690688 \ldots > 0.05\) <strong><em>(R1)</em></strong></p>
<p>the null hypothesis is not rejected <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>OR</strong></p>
<p>the quality of the response and the topic are independent <strong><em>(A1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Note:</strong> Award <strong><em>(R1) </em></strong>for a correct comparison of either their \({\chi ^2}\) statistic to the \({\chi ^2}\) critical value or the correct \(p\)-value 0.690688… to the test level, award <strong><em>(A1)</em>(ft) </strong>for the correct result from that comparison. Accept “\(\chi _{{\text{calc}}}^2 < \chi _{{\text{crit}}}^2\)” for the comparison, but only if their \(\chi _{{\text{calc}}}^2\) value is explicitly seen in part (f). Follow through from their answers to part (f) and part (c). Do not award <strong><em>(R0)(A1)</em></strong>.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">In the month before their IB Diploma examinations, eight male students recorded the number of hours they spent on social media.</p>
<p class="p2">For each student, the number of hours spent on social media <span class="s1">(\(x\)) </span>and the number of IB Diploma points obtained <span class="s1">(\(y\)) </span>are shown in the following table.</p>
<p class="p2" style="text-align: center;"><img src="images/Schermafbeelding_2017-03-07_om_07.43.52.png" alt="N16/5/MATSD/SP2/ENG/TZ0/01"></p>
</div>
<div class="specification">
<p class="p1">Use your graphic display calculator to find</p>
</div>
<div class="specification">
<p class="p1">Ten female students also recorded the number of hours they spent on social media in the month before their IB Diploma examinations. Each of these female students spent between <span class="s1">3 </span>and <span class="s1">30 </span>hours on social media.</p>
<p class="p1">The equation of the regression line <span class="s1"><em>y </em></span>on <span class="s1"><em>x </em></span>for these ten female students is</p>
<p class="p1">\[y = - \frac{2}{3}x + \frac{{125}}{3}.\]</p>
<p class="p1">An eleventh girl spent <span class="s1">34 </span>hours on social media in the month before her IB Diploma examinations.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1"><span class="s1">On graph paper, draw a scatter diagram for these data. Use a scale of </span><span class="s2">2 cm </span>to represent <span class="s2">5 </span>hours on the \(x\)-axis and <span class="s2">2 cm </span>to represent <span class="s2">10 </span>points on the \(y\)-axis.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1"><span class="s1">(i) <span class="Apple-converted-space"> \({\bar x}\)</span>, </span>the mean number of hours spent on social media;</p>
<p class="p2">(ii) <span class="Apple-converted-space"> \({\bar y}\)</span>, the mean number of IB Diploma points.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1"><span class="s1">Plot the point \((\bar x,{\text{ }}\bar y)\) </span>on your scatter diagram and label this point <span class="s2">M</span>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1"><span class="s1">Write down the value of \(r\), </span>the Pearson’s product–moment correlation coefficient, for these data.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Write down the equation of the regression line \(y\) <span class="s1">on \(x\) for these eight male students.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Draw the regression line, from part (e), on your scatter diagram.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Use the given equation of the regression line to estimate the number of IB Diploma <span class="s1">points that this girl obtained.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Write down a reason why this estimate is not reliable.</p>
<div class="marks">[1]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2017-03-07_om_08.41.53.png" alt="N16/5/MATSD/SP2/ENG/TZ0/01.a/M"> <span class="s1"><strong><em>(A4)</em></strong></span></p>
<p class="p2"> </p>
<p class="p3"><strong>Notes</strong>: <span class="Apple-converted-space"> </span>Award <strong><em>(A1) </em></strong>for correct scale and labelled axes.</p>
<p class="p3">Award <strong><em>(A3) </em></strong>for <span class="s2">7 </span>or <span class="s2">8 </span>points correctly plotted,</p>
<p class="p3"><strong><em>(A2) </em></strong>for <span class="s2">5 </span>or <span class="s2">6 </span>points correctly plotted,</p>
<p class="p3"><strong><em>(A1) </em></strong>for <span class="s2">3 </span>or <span class="s2">4 </span>points correctly plotted.</p>
<p class="p3">Award at most <strong><em>(A0)(A3) </em></strong>if axes reversed.</p>
<p class="p3">Accept \(x\) and \(y\) sufficient for labelling.</p>
<p class="p3">If graph paper is not used, award <strong><em>(A0)</em></strong>.</p>
<p class="p3">If an inconsistent scale is used, award <strong><em>(A0)</em></strong><em>. </em>Candidates’ points should be read from this scale <strong>where possible </strong>and awarded accordingly.</p>
<p class="p3">A scale which is too small to be meaningful (ie mm instead of cm) earns <strong><em>(A0) </em></strong>for plotted points.</p>
<p class="p2"> </p>
<p class="p3"><strong><em>[4 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> \(\bar x = 21\)</span> <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1">(ii) <span class="Apple-converted-space"> \(\bar y = 31\)</span> <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((\bar x,{\text{ }}\bar y)\) correctly plotted on graph <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)</strong></p>
<p class="p1">this point labelled <span class="s1">M <span class="Apple-converted-space"> </span></span><strong><em>(A1)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Note: <span class="Apple-converted-space"> </span></strong>Follow through from parts (b)(i) and (b)(ii).</p>
<p class="p1">Only accept <span class="s1">M </span>for labelling.</p>
<p class="p2"> </p>
<p class="p3"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="Apple-converted-space">\( - 0.973{\text{ }}( - 0.973388 \ldots )\) </span><strong><em>(G2)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Note: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(G1) </em></strong>for <span class="s1">0.973</span>, without minus sign.</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="Apple-converted-space">\(y = - 0.761x + 47.0{\text{ }}(y = - 0.760638 \ldots x + 46.9734 \ldots )\) </span><strong><em>(A1)(A1)(G2)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(A1) </em></strong>for \( - 0.761x\) and <strong><em>(A1)</em></strong> \( + 47.0\). Award a maximum of <strong><em>(A1)(A0) </em></strong>if answer is not an equation.</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">line on graph <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Notes: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(A1)</em>(ft) </strong>for <strong>straight line </strong>that passes through their <span class="s1">M</span>, <strong><em>(A1)</em>(ft) </strong>for line (extrapolated if necessary) that passes through \((0,{\text{ }}47.0)\).</p>
<p class="p1">If M is not plotted or labelled, follow through from part (e).</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="Apple-converted-space">\(y = - \frac{2}{3}(34) + \frac{{125}}{3}\) </span><span class="s1"><strong><em>(M1)</em></strong></span></p>
<p class="p2"> </p>
<p class="p3"><strong>Note: <span class="Apple-converted-space"> </span></strong>Award <strong><em>(M1) </em></strong>for correct substitution.</p>
<p class="p2"> </p>
<p class="p3"><span class="s2">19 </span>(points) <span class="Apple-converted-space"> </span><strong><em>(A1)(G2)</em></strong></p>
<p class="p3"><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">extrapolation <span class="Apple-converted-space"> </span><strong><em>(R1)</em></strong></p>
<p class="p1"><strong>OR</strong></p>
<p class="p1"><span class="s1">34 </span>hours is outside the given range of data <span class="Apple-converted-space"> </span><strong><em>(R1)</em></strong></p>
<p class="p2"> </p>
<p class="p1"><strong>Note: <span class="Apple-converted-space"> </span></strong>Do not accept ‘outlier’.</p>
<p class="p2"> </p>
<p class="p1"><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">The table below shows the scores for 12 golfers for their first two rounds in a local golf tournament.</span></p>
<p><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>(i) Write down the mean score in Round 1.</span></p>
<p><span>(ii) Write down the standard deviation in Round 1.</span></p>
<p><span>(iii) Find the number of these golfers that had a score of more than one standard deviation above the mean in Round 1.</span></p>
<div class="marks">[5]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the correlation coefficient, <em>r</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>Write down the equation of the regression line of</span><span> <em>y</em> on <em>x</em>.</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Another golfer scored 70 in Round 1.</span></p>
<p><span>Calculate an estimate of his score in Round 2.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Another golfer scored 89 in Round 1.</span></p>
<p><span>Determine whether you can use the equation of the regression line to estimate his score in Round 2. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{71 + 79 + ...}}{{12}}\) <em><strong>(M1)</strong></em></span></p>
<p><span>\(72.4\left( {72.4166...,{\text{ }}\frac{{869}}{{12}}} \right)\) <em><strong>(A1)(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct substitution into the mean formula.</span></p>
<p> </p>
<p><span>(ii) 4.77 (4.76896…) <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span>(iii) 72.4 + 4.77 = 77.17 <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for adding their mean to their standard deviation.</span></p>
<p> </p>
<p><span>Two golfers <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Follow through from their answers to parts (i) and (ii).</span></p>
<p><span> </span></p>
<p><span><em><strong>[5 marks]</strong></em><br></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>0.990 (0.99014…) <em><strong>(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = 1.01<em>x</em> + 0.816 (<em>y</em> = 1.01404...<em>x</em> + 0.81618...) <em><strong>(G1)(G1)</strong></em></span></p>
<p><span><strong>Notes:</strong> Award <em><strong>(G1)</strong></em> for 1.01<em>x</em> and <em><strong>(G1)</strong></em> for 0.816. If the answer is not an equation award a maximum of <em><strong>(G1)(G0)</strong></em>.</span></p>
<p><span> </span></p>
<p><span><strong>OR</strong><br></span></p>
<p><em><span><span>y </span></span></em><span><span><span>− </span>74.25 = </span></span><span><span><span>1.01(<em>x </em></span></span></span><span><span><span><span>− </span>72.4)(<em>y </em></span></span></span><span><span><span><span>− 74</span></span></span>.25 = 1.01404...(<em>x </em></span><span><span>− </span>72.4166...)) <em><strong>(A1)(A1)</strong></em><br></span></p>
<p><span><strong>Notes:</strong> Award <em><strong>(A1)</strong></em> for 1.01 correctly substituted in the equation, and <em><strong>(A1)</strong></em><strong>(ft)</strong> for correct substitution of (72.4, 74.25) in the equation. Follow through from their part (a)(i). If the final answer is not an equation award a maximum of <em><strong>(A1)(A0)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = 1.01404... </span><span><span>× </span>70 + 0.81618... <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for substitution of 70 into their regression line equation from part (c).</span></p>
<p> </p>
<p><span><span><em>y</em> = </span>72 (71.7989...) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Follow through from their part (c).</span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>No, equation cannot be (reliably) used as 89 is outside the data range. <em><strong>(A1)(R1)</strong></em></span></p>
<p><strong><span>OR</span></strong></p>
<p><span>Yes, but the result is not valid/not reliable as 89 is outside the data range/as we extrapolate <em><strong>(A1)(R1)</strong></em></span></p>
<p><span><strong>Note:</strong> Do not award <em><strong>(A1)(R0)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The question was for the most part approached by almost all candidates and answered relatively well. The question in part (e) related to the use of the equation of the regression line for predicting, although regularly asked on exams, was still found to be a difficult one by some candidates. Some answers still suggested mathematical thinking and language unaccustomed to drawing conclusions and providing justifications.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The question was for the most part approached by almost all candidates and answered relatively well. The question in part (e) related to the use of the equation of the regression line for predicting, although regularly asked on exams, was still found to be a difficult one by some candidates. Some answers still suggested mathematical thinking and language unaccustomed to drawing conclusions and providing justifications.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The question was for the most part approached by almost all candidates and answered relatively well. The question in part (e) related to the use of the equation of the regression line for predicting, although regularly asked on exams, was still found to be a difficult one by some candidates. Some answers still suggested mathematical thinking and language unaccustomed to drawing conclusions and providing justifications.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The question was for the most part approached by almost all candidates and answered relatively well. The question in part (e) related to the use of the equation of the regression line for predicting, although regularly asked on exams, was still found to be a difficult one by some candidates. Some answers still suggested mathematical thinking and language unaccustomed to drawing conclusions and providing justifications.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The question was for the most part approached by almost all candidates and answered relatively well. The question in part (e) related to the use of the equation of the regression line for predicting, although regularly asked on exams, was still found to be a difficult one by some candidates. Some answers still suggested mathematical thinking and language unaccustomed to drawing conclusions and providing justifications.</span></p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">In a mountain region there appears to be a relationship between the number of trees growing in the region and the depth of snow in winter. A set of 10 areas was chosen, and in each area the number of trees was counted and the depth of snow measured. The results are given in the table below.</span></p>
<p style="text-align: center;"><span style="font-size: medium; font-family: times new roman,times;"><img 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" alt></span></p>
</div>
<div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">In a study on \(100\) students there seemed to be a difference between males and females in their choice of favourite car colour. The results are given in the table below. A \(\chi^2\) test was conducted.</span></p>
<p style="text-align: center;"><span style="font-size: medium; font-family: times new roman,times;"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find </span><span><span>the mean number of trees</span><span>.</span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A, a, i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find the mean depth of snow.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A, a, iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find the standard deviation of the depth of snow.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A, a, iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The covariance, <em>S<sub>xy</sub></em> = 188.5.</span></p>
<p><span>Write down the product-moment correlation coefficient, <em>r</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A, b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the equation of the regression line of <em>y</em> on <em>x</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A, c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>If the number of trees in an area is 55, estimate the depth of snow.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A, d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use the equation of the regression line to estimate the depth of snow in an area with 100 trees.<br></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A, e, i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Decide whether the answer in (e)(i) is a valid estimate of the depth of snow in the area. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A, e, ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the total number of male students.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B, a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Show that the expected frequency for males, whose favourite car colour is blue, is 12.6.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B, b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The calculated value of \({\chi ^2}\) is \(1.367\) and the critical value of \({\chi ^2}\) is \(5.99\) at the \(5\%\) significance level.</span></p>
<p><span>Write down the null hypothesis for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B, c, i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The calculated value of \({\chi ^2}\) is \(1.367\) and the critical value of \({\chi ^2}\) is \(5.99\) at the \(5\%\) significance level.</span></p>
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B, c, ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The calculated value of \({\chi ^2}\) is \(1.367\) and the critical value of \({\chi ^2}\) is \(5.99\) at the \(5\%\) significance level.</span></p>
<p><span>Determine whether the null hypothesis should be accepted at the \(5\%\) significance level. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B, c, iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>50 <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">A, a, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>30.5 <strong><em>(G1)</em></strong></span></p>
<div><span><strong><em>[1 mark]</em></strong></span></div>
<div class="question_part_label">A, a, iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>12.3 <strong><em>(G1)</em></strong></span></p>
<p><span><span><br> </span><strong>Note:</strong> Award <strong><em>(A1)</em>(ft)</strong> for 13.0 in (iv) but only if 17.7 seen in (a)(ii).</span></p>
<div> </div>
<div><span><em><strong>[1 mark]</strong></em></span></div>
<div class="question_part_label">A, a, iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(r = \frac{{188.5}}{{(16.79 \times 12.33)}}\) <em><strong>(M1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for using their values in the correct formula.</span></p>
<p><br><span>= 0.911 (accept 0.912, 0.910) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">A, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = 0.669<em>x</em> </span><span><span>− </span>2.95 <em><strong>(G1)(G1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(G1)</strong></em> for 0.669<em>x</em>, <em><strong>(G1)</strong></em> for −2.95. If the answer is not in the form of an equation, award at most <em><strong>(G1)(G0)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">A, c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Depth = 0.669 × 55 − 2.95 <em><strong>(M1)</strong></em></span></p>
<p><span>= 33.8 <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Follow through from their (c) even if no working seen.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">A, d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>64.0 (accept 63.95, 63.9) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Follow through from their (c) even if no working seen.</span></p>
<p> </p>
<p><span><em><strong>[1 mark]</strong></em></span><br><span><span><br></span></span></p>
<div class="question_part_label">A, e, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>It is not valid. It lies too far outside the values that are given.<em> Or equivalent. </em> <strong><em>(A1)(R1)</em></strong></span></p>
<p><span><span><br> </span><strong>Note:</strong> Do not award <strong><em>(A1)(R0)</em></strong>.</span></p>
<p> </p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">A, e, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>28 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">B, a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{28 \times 45}}{{100}}\left( {\frac{{28}}{{100}} \times \frac{{45}}{{100}} \times 100} \right)\) <em><strong>(M1)(A1)(ft)</strong></em></span></p>
<p><span><br><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct formula, <em><strong>(A1)</strong></em> for correct substitution.</span></p>
<p><span><br>= 12.6 <em><strong>(AG)</strong></em></span></p>
<p><span><br><strong>Note:</strong> Do not award <em><strong>(A1)</strong></em> unless 12.6 seen.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">B, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>the favourite car colour is <strong>independent</strong> of gender. <em><strong>(A1)</strong></em></span></p>
<p><span> </span></p>
<p><span><strong>Note:</strong> Accept there is no association between gender and favourite car colour.</span></p>
<p><span>Do not accept ‘not related’ or ‘not correlated’.</span></p>
<p><span> </span></p>
<p><em><strong><span>[1 mark]</span></strong></em></p>
<div class="question_part_label">B, c, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(2\) <strong><em>(A1)</em></strong></span></p>
<p><span><strong><em>[1 marks]</em></strong></span></p>
<div class="question_part_label">B, c, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Accept the null hypothesis since \(1.367 < 5.991\) <strong><em>(A1)</em>(ft)<em>(R1)</em></strong></span></p>
<p><span> </span></p>
<p><span><strong>Note:</strong> Allow “Do not reject”. Follow through from their null hypothesis and their critical value.</span></p>
<p><span>Full credit for use of \(p\)-values from GDC [\(p = 0.505\)].</span></p>
<p><span>Do not award <strong><em>(A1)(R0)</em></strong>. Award <strong><em>(R1)</em></strong> for valid comparison.</span></p>
<p><span> </span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B, c, iv.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">The use of the inappropriate standard deviation was seen, but infrequently.</span></p>
<div class="question_part_label">A, a, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">The use of the inappropriate standard deviation was seen, but infrequently.</span></p>
<div class="question_part_label">A, a, iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">The use of the inappropriate standard deviation was seen, but infrequently.</span></p>
<div class="question_part_label">A, a, iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">It is expected that the GDC is used to calculate the correlation coefficient; the covariance was given to aid those candidates for whom the reset process removes this function from the display. It is anticipated that this hint will not be given in future papers.</span></p>
<div class="question_part_label">A, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<div class="question_part_label">A, c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<div class="question_part_label">A, d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<div class="question_part_label">A, e, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">A straightforward question that saw many fine attempts. Given its nature – where much of the work was done on the GDC – it must be emphasised to candidates that incorrect entry of data into the calculator will result in considerable penalties; they must check their data entry most carefully.</span></p>
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">The dangers of extrapolation should be clearly explained to students.</span></p>
<div class="question_part_label">A, e, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Once again, a straightforward question on chi-squared testing that was either highly successful (for the majority) or showed a lack of syllabus coverage.</span></p>
<div class="question_part_label">B, a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Once again, a straightforward question on chi-squared testing that was either highly successful (for the majority) or showed a lack of syllabus coverage. A surprising number of candidates lacked knowledge of the theory underlying the test and were thus unable to attempt (b).</span></p>
<div class="question_part_label">B, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Once again, a straightforward question on chi-squared testing that was either highly successful (for the majority) or showed a lack of syllabus coverage. In (c)(i) it is worth stressing that the test is for the mathematical <strong>independence</strong> of two characteristics and this determines the null hypothesis.</span></p>
<div class="question_part_label">B, c, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">Once again, a straightforward question on chi-squared testing that was either highly successful (for the majority) or showed a lack of syllabus coverage.</span></p>
<div class="question_part_label">B, c, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-size: medium; font-family: 'times new roman', times;">Once again, a straightforward question on chi-squared testing that was either highly successful (for the majority) or showed a lack of syllabus coverage. A number of candidates confuse the critical value and \(p\)-value approach to the test and thus lost marks in (c)(iv).</span></p>
<div class="question_part_label">B, c, iv.</div>
</div>
<br><hr><br><div class="specification">
<p>A group of 800 students answered 40 questions on a category of their choice out of History, Science and Literature.</p>
<p>For each student the category and the number of correct answers, \(N\), was recorded. The results obtained are represented in the following table.</p>
<p><img src="images/Schermafbeelding_2018-02-13_om_14.11.54.png" alt="N17/5/MATSD/SP2/ENG/TZ0/01"></p>
</div>
<div class="specification">
<p>A \({\chi ^2}\) test at the 5% significance level is carried out on the results. The critical value for this test is 12.592.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State whether \(N\) is a discrete or a continuous variable.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down, for \(N\), the modal class;</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down, for \(N\), the mid-interval value of the modal class.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your graphic display calculator to estimate the mean of \(N\);</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your graphic display calculator to estimate the standard deviation of \(N\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the expected frequency of students choosing the Science category and obtaining 31 to 40 correct answers.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the null hypothesis for this test;</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the number of degrees of freedom.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the \(p\)-value for the test;</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the \({\chi ^2}\) statistic.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the result of the test. Give a reason for your answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>discrete <strong><em>(A1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(11 \leqslant N \leqslant 20\) <strong><em>(A1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>15.5 <strong><em>(A1)</em>(ft)</strong></p>
<p> </p>
<p><strong>Note: </strong>Follow through from part (b)(i).</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(21.2{\text{ }}(21.2125)\) <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(9.60{\text{ }}(9.60428 \ldots )\) <strong><em>(G1)</em></strong></p>
<p><strong><em>[1 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{260}}{{800}} \times \frac{{157}}{{800}} \times 800\)\(\,\,\,\)<strong>OR</strong>\(\,\,\,\)\(\frac{{260 \times 157}}{{800}}\) <strong><em>(M1)</em></strong></p>
<p> </p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for correct substitution into expected frequency formula.</p>
<p> </p>
<p>\( = 51.0{\text{ }}(51.025)\) <strong><em>(A1)(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>choice of category and number of correct answers are independent <strong><em>(A1)</em></strong></p>
<p> </p>
<p><strong>Notes: </strong>Accept “no association” between (choice of) category and number of correct answers. Do not accept “not related” or “not correlated” or “influenced”.</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>6 <em><strong>(A1)</strong></em></p>
<p><em><strong>[1 mark]</strong></em></p>
<p> </p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(0.0644{\text{ }}(0.0644123 \ldots )\) <strong><em>(G1)</em></strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(11.9{\text{ }}(11.8924 \ldots )\) <strong><em>(G2)</em></strong></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>the null hypothesis is not rejected (the null hypothesis is accepted) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong><em>OR</em></strong></p>
<p>(choice of) category and number of correct answers are independent <strong><em>(A1)</em>(ft)</strong></p>
<p>as \(11.9 < 12.592\)\(\,\,\,\)<strong>OR</strong>\(\,\,\,\)\(0.0644 > 0.05\) <strong><em>(R1)</em></strong></p>
<p> </p>
<p><strong>Notes: </strong>Award <strong><em>(R1) </em></strong>for a correct comparison of either their \({\chi ^2}\) statistic to the \({\chi ^2}\) critical value or their \(p\)-value to the significance level. Award <strong><em>(A1)</em>(ft) </strong>from that comparison.</p>
<p>Follow through from part (f). Do not award <strong><em>(A1)</em>(ft)<em>(R0)</em></strong>.</p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<h1><span style="font-family: times new roman,times; font-size: medium;">Part A</span></h1>
<p><span style="font-family: times new roman,times; font-size: medium;">100 students are asked what they had for breakfast on a particular morning.</span> <span style="font-family: times new roman,times; font-size: medium;">There were three choices: cereal (<em>X</em>) , bread (<em>Y</em>) and fruit (<em>Z</em>). It is found that</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">10 students had all three</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">17 students had bread and fruit only</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">15 students had cereal and fruit only</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">12 students had cereal and bread only</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">13 students had only bread</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">8 students had only cereal</span></p>
<p style="margin-left: 30px;"><span style="font-family: times new roman,times; font-size: medium;">9 students had only fruit</span></p>
</div>
<div class="specification">
<h1><span style="font-family: times new roman,times; font-size: medium;">Part B</span></h1>
<p><span style="font-family: times new roman,times; font-size: medium;">The same 100 students are also asked how many meals on average they have per day. The data collected is organized in the following table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img 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" alt></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">A \({\chi ^2}\) test is carried out at the 5 % level of significance.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Represent this information on a Venn diagram.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the number of students who had none of the three choices for breakfast.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the percentage of students who had fruit for breakfast.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Describe in words what the students in the set \(X \cap Y'\) had for breakfast.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the probability that a student had <strong>at least</strong> two of the three choices for breakfast.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Two students are chosen at random. Find the probability that both students had all three choices for breakfast.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">A.f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the null hypothesis, H<sub>0</sub>, for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of degrees of freedom for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the critical value for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Show that the expected number of females that have more than 5 meals per day is 13, correct to the nearest integer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find the \(\chi _{calc}^2\) for this data.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Decide whether H<sub>0</sub> must be accepted. Justify your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img 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" alt></span></p>
<p><span><em><strong>(A1)</strong></em> for rectangle and three intersecting circles</span></p>
<p><span><em><strong>(A1)</strong></em> for 10, <em><strong>(A1)</strong></em> for 8, 13 and 9, <em><strong>(A1)</strong></em> for 12, 15 and 17 <em><strong>(A4)</strong></em></span></p>
<p><span><em><strong>[4 marks]</strong></em></span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>100 – (9 +12 +13 +15 +10 +17 + 8) =16 <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em> </span></p>
<p><span><strong>Note:</strong> Follow through from their diagram.</span></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{51}}{{100}}(0.51)\) <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span>= 51% <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Follow through from their diagram.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><strong>Note:</strong> The following statements are correct. Please note that the connectives are important. It is not the same (had cereal) <span>and</span></span> <span>(not bread) and (had cereal) <span>or</span> (not bread). The parentheses are not needed but are there to facilitate the understanding of </span><span>the propositions.</span></p>
<p><span> </span></p>
<p><span>(had cereal) and (did not have bread)</span></p>
<p><span>(had cereal only) or (had cereal and fruit only)</span></p>
<p><span>(had either cereal or (fruit and cereal)) and (did not have bread) <em><strong>(A1)(A1)</strong></em> <br></span></p>
<p><br><span><strong>Notes:</strong> If the statements are correct but the connectives are wrong then</span> <span>award at most <strong><em>(A1)(A0)</em></strong>.</span> <span>For the statement (had only cereal) and (cereal and fruit) award </span><em><strong><span>(A1)(A0)</span></strong></em><span>. </span><span>For the statement had cereal and fruit award <em><strong>(A0)(A0)</strong></em>.</span></p>
<p><em><strong>[2 marks]</strong></em></p>
<p> </p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{54}}{{100}}(0.54,{\text{ 54 % }})\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><br><strong>Note:</strong> Award <strong><em>(A1)</em>(ft)</strong> for numerator, follow through from their diagram, <strong><em>(A1)</em>(ft)</strong> for denominator. Follow through from total or denominator used in part (c).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{10}}{{100}} \times \frac{9}{{99}} = \frac{1}{{110}}(0.00909,{\text{ 0}}{\text{.909 % }})\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em> </span></p>
<p><br><span><strong>Notes:</strong> Award <strong><em>(A1)</em>(ft)</strong> for their correct fractions, <em><strong>(M1)</strong></em> for multiplying</span> <span>two fractions, <strong><em>(A1)</em>(ft)</strong> for their correct answer.</span> <span>Answer 0.009 with no working receives no marks. </span><span>Follow through from denominator in parts (c) and (e) and from</span> <span>their diagram.</span></p>
<p><span><em><strong>[3 marks]</strong></em><br></span></p>
<div class="question_part_label">A.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>H<sub>0</sub> : The (average) number of meals per day a student has and gender are independent <em><strong>(A1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> For “independent” accept “not associated” but do not accept “not related” or “not correlated”.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>2 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>5.99 (accept 5.991) <em><strong>(A1)</strong></em><strong>(ft)</strong> </span></p>
<p><br><span><strong>Note:</strong> Follow through from their part (b).</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{28 \times 45}}{{100}} = 12.6 = 13\) or \(\frac{{28}}{{100}} \times \frac{{25}}{{100}} \times 100 = 12.6 = 13\) <em><strong>(M1)(A1)(AG)</strong></em> </span></p>
<p><br><span><strong>Notes:</strong> Award <em><strong>(M1)</strong></em> for correct formula and <em><strong>(A1)</strong></em> for correct substitution. Unrounded answer must be seen for the <em><strong>(A1)</strong></em> to be awarded.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<p> </p>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>0.0321 <em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> For 0.032 award <em><strong>(G1)(G1)(AP)</strong></em>. For 0.03 with no working award <em><strong>(G0)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>0.0321 < 5.99 or 0.984 > 0.05 <em><strong>(R1)</strong></em></span></p>
<p><span>accept H<sub>0</sub> <strong><em>(A1)</em>(ft)</strong> </span></p>
<p><br><span><strong>Note:</strong> If reason is incorrect both marks are lost, do not award <em><strong>(R0)(A1)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was in general well done. Candidates began the paper well by drawing the Venn diagram correctly. Some students omitted the rectangle (universal set) around the three circles. There were quite a few errors in (c) as some students forgot to convert their answers to percentages. Also describing in words what the students in \(X \cap Y'\) had for breakfast seemed to be difficult for the majority of the candidates. Some misread what <em>Y</em> was and even more missed the complement sign. However, the main problem in answering this question seemed to be the lack of knowledge in the relationship between set theory and logic (use of</span> <span style="font-size: medium; font-family: times new roman,times;">"and" and "or"). Combining probabilities caused problems to many. Common wrong answers were \(\frac{{10}}{{100}}\), \(\frac{{10}}{{100}} \times \frac{{10}}{{100}}\) or \(\frac{{10}}{{100}} + \frac{9}{{99}}\).</span></p>
<div class="question_part_label">A.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In general this part question was well answered. The major concerns of the examining team were the following:</span></p>
<ul>
<li><span style="font-family: times new roman,times; font-size: medium;">In (f) many students wrote down the expected values table (from the GDC) and highlighted the correct expected value, 12.6. As this is a "show that" question the use of the GDC is not expected and therefore no marks are awarded for this working. Instead it is expected the use of the formula for the expected value with the correct substitutions.</span></li>
<li><span style="font-family: times new roman,times; font-size: medium;">In (e) surprisingly many candidates found the \(\chi _{calc}^2\) through the use of the formula. </span><span style="font-family: times new roman,times; font-size: medium;">Unfortunately this led to some incorrect answers and also to a bad use of time. The </span><span style="font-family: times new roman,times; font-size: medium;">question clearly says "use your graphic display calculator" and it is worth 2 marks </span><span style="font-family: times new roman,times; font-size: medium;">therefore a student should not spend more than 2 minutes to answer this part </span><span style="font-family: times new roman,times; font-size: medium;">question. Time management is essential in this type of examinations and the IB rule </span><span style="font-family: times new roman,times; font-size: medium;">is one minute – one mark.</span></li>
</ul>
<div class="question_part_label">B.f.</div>
</div>
<br><hr><br><div class="specification">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 21.0px 'Times New Roman';"><span style="font-family: 'times new roman', times; font-size: medium;">The table shows the distance, in km, of eight regional railway stations from a city centre terminus and the price, in \($\), of a return ticket from each regional station to the terminus.</span></p>
<p style="font: normal normal normal 21px/normal 'Times New Roman'; text-align: center; margin: 0px;"><br><span style="font-family: 'times new roman', times; font-size: medium;"><img src="images/Schermafbeelding_2014-09-03_om_09.54.14.png" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a scatter diagram for the above data. Use a scale of \(1\) cm to represent \(10\) km on the \(x\)-axis and \(1\) cm to represent \(\$10\) on the \(y\)-axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find</span></p>
<p><span>(i) \(\bar x\), the mean of the distances;</span></p>
<p><span>(ii) \(\bar y\), the mean of the prices.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot and label the point \({\text{M }}(\bar x,{\text{ }}\bar y)\) on your scatter diagram.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find</span></p>
<p><span>(i) the product–moment correlation coefficient, \(r\,;\)</span></p>
<p><span>(ii) the equation of the regression line \(y\) on \(x\).</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the regression line \(y\) on \(x\) on your scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A ninth regional station is \(76\) km from the city centre terminus.</span></p>
<p><span><span><span>Use the equation of the regression line to estimate the price of a return ticket to the city centre terminus from this regional station. </span></span><span><span><strong>Give your answer correct to the nearest </strong></span><span><span>\({\mathbf{\$ }}\).</span></span></span></span></p>
<div class="marks">[3]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Give a reason why it is valid to use your regression line to estimate the price of this return ticket.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The actual price of the return ticket is \(\$80\).</span></p>
<p><span><strong>Using your answer to part (f)</strong>, calculate the percentage error in the estimated price of the ticket.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><span><img src="images/Schermafbeelding_2014-09-03_om_11.22.50.png" alt> <strong><em>(A4)</em></strong></span></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(A1) </em></strong>for correct scale and labels (accept \(x\) and \(y\)).</span></p>
<p><span> Award <strong><em>(A3) </em></strong>for \(7\) or \(8\) points plotted correctly.</span></p>
<p><span> Award <strong><em>(A2) </em></strong>for \(5\) or \(6\) points plotted correctly.</span></p>
<p><span> Award <strong><em>(A1) </em></strong>for \(3\) or \(4\) points plotted correctly.</span></p>
<p><span> Award at most <strong><em>(A1)(A2) </em></strong>if points are joined up.</span></p>
<p><span> If axes are reversed, award at most <strong><em>(A0)(A3)</em></strong><em>.</em></span></p>
<p><span><em> </em>If graph paper is not used, award at most <strong><em>(A1)(A0)</em></strong>.</span></p>
<p> </p>
<p><span><strong><em>[4 marks]</em></strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \((\bar x = ){\text{ 46}}\) <strong><em>(G1)</em></strong></span></p>
<p><span>(ii) \((\bar y = ){\text{ 57}}\) <strong><em>(G1)</em></strong></span></p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\({\text{M}} (46, 57)\) plotted and labelled on the scatter diagram <strong><em>(A1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Follow through from their part (b).</span></p>
<p><span> Accept \((\bar x,{\text{ }}\bar y)\) as the label.</span></p>
<p> </p>
<p><span><strong><em>[1 mark]</em></strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(0.986\) \((0.986322...)\) <strong><em>(G1)</em></strong></span></p>
<p><span>(ii) \(y = 1.01x + 10.3\) \((y = 1.01431 \ldots x + 10.3412 \ldots )\) <strong><em>(G1)(G1)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \(1.01x\), <strong><em>(G1) </em></strong>for \(10.3\).</span></p>
<p><span> Award <strong><em>(G1)(G0) </em></strong>if not written in the form of an equation.</span></p>
<p> </p>
<p><span><strong>OR</strong></span></p>
<p><span>\((y - 57) = 1.01(x - 46)\) \(\left( {y - 57 = 1.01431...(x - 46)} \right)\) <strong><em>(G1)(G1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(G1) </em></strong>for \(1.01\), <strong><em>(G1) </em></strong>for their \(57\) and \(46\).</span></p>
<p> </p>
<p><span><strong><em>[3 marks]</em></strong></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>straight line drawn on the scatter diagram <strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>The line must be straight for either of the two marks to be awarded.</span></p>
<p><span> Award <strong><em>(A1)</em>(ft) </strong>passing through their \({\text{M}}\) plotted in (c).</span></p>
<p><span> Award <strong><em>(A1)</em>(ft) </strong>for correct \(y\)-intercept (between \(9\) and \(12\)).</span></p>
<p><span> Follow through from their \(y\)-intercept found in part (d).</span></p>
<p><span> If part (d) is used, award <strong><em>(A1)</em>(ft) </strong>for their intercept \(( \pm 1)\).</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(y = 1.01431... \times 76 + 10.3412…\) <strong><em>(M1)</em></strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for substitution of \(76\) into their regression line.</span></p>
<p> </p>
<p><span>\( = 87.4295…\) <strong><em>(A1)</em>(ft)</strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Follow through from part (d). If 3 sf values are used the value is \(87.06\).</span></p>
<p> </p>
<p><span>\(\$87\) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>The final <strong><em>(A1) </em></strong>is awarded for their answer given correct to the nearest dollar.</span></p>
<p><span> Method, followed by the answer of \(87\) earns <strong><em>(M1)(G2)</em></strong><em>. </em>It is not necessary to see the interim step.</span></p>
<p><span> Where the candidate uses their graph instead of the equation, and arrives at an answer other than \(87\), award, at most, <strong><em>(G1)</em>(ft)</strong>.</span></p>
<p><span> If the candidate uses their graph and arrives at the required answer of \(87\), award <strong><em>(G2)</em>(ft)</strong>.</span></p>
<p> </p>
<p><span><strong><em>[3 marks]</em></strong></span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(76\) is within the range of distances given in the data <strong>OR </strong>the correlation coefficient is close to \(1\). <strong><em>(R1)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Award <strong><em>(R1) </em></strong>if <strong>either </strong>condition is given.</span></p>
<p><span> Sufficient to indicate that \(76\) is ‘within the data range’ and the correlation is ‘strong’.</span></p>
<p><span> Allow \({r^2}\) close to \(1\).</span></p>
<p><span> Do <strong>not </strong>accept “within the range of prices”.</span></p>
<p> </p>
<p><span><strong><em>[1 mark]</em></strong></span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\({\text{Percentage error}} = \frac{{87 - 80}}{{80}} \times 100\) <strong><em>(M1)</em></strong></span></p>
<p> </p>
<p><span><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for correct substitution into formula.</span></p>
<p> </p>
<p><span>\(8.75\%\) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></span></p>
<p> </p>
<p><span><strong>Notes: </strong>Follow through from their answer to part (f).</span></p>
<p><span> Accept either the rounded or unrounded answer to part (f).</span></p>
<p><span> If no integer value seen in part (f), follow through from their unrounded answer to part (f).</span></p>
<p><span> Answer must be positive.</span></p>
<p> </p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 0.0px 0.0px; font: 19.0px Arial;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was very well attempted by a significant majority of candidates. Many good and accurate attempts at plotting a scatter diagram were seen in part (a). However, a minority of candidates chose not to use graph paper but instead used their answer book. These candidates achieved, at most, one mark for that part question. Many correct answers were seen in parts (b) and (d) reflecting good use of the graphic display calculator. Whilst many candidates realized that the line of regression passes through the point <em>M</em>, a significant number of candidates seemed to draw their line ‘by eye’ rather than using the equation found in part (d) and, as a consequence for many, their straight line (or projected line) did not fall within the required tolerances for the second mark. Many candidates understood the requirements for part (f) and full marks were seen on a majority of scripts. Those candidates, however, who used their graph instead scored, at most, two marks here. Many candidates seemed to be well-drilled in giving a suitable reason in part (f) and ‘within the data range’ or a ‘strong correlation’ were frequently seen. Percentage error caused very few problems for candidates and many correct answers were seen in part (h).</span></p>
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">In a debate on voting, a survey was conducted. The survey asked people’s opinion on whether or not the minimum voting age should be reduced to 16 <span class="s1">years of age. The results are shown as follows.</span></p>
<p class="p2" style="text-align: center;"><img src="images/Schermafbeelding_2015-12-21_om_06.08.52.png" alt></p>
<p class="p2">A \({\chi ^2}\) <span class="s2">test at the 1% </span>significance level was conducted. The \({\chi ^2}\) <span class="s2">critical value of the test is 9.21</span>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>\({{\text{H}}_0}\), the null hypothesis for the test;</p>
<p class="p2"><span class="s1">(ii) <span class="Apple-converted-space"> </span>\({{\text{H}}_1}\)</span>, the alternative hypothesis for the test.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Write down the number of degrees of freedom.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Show that the expected frequency of those between the ages of <span class="s1">26 </span>and <span class="s1">40 </span>who oppose the reduction in the voting age is <span class="s1">21.5</span>, correct to three significant figures.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Find</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>the \({\chi ^2}\) statistic;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>the associated \(p\)-value for the test.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine, giving a reason, whether \({{\text{H}}_0}\) <span class="s1">should be accepted.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span><span class="s1">\({{\text{H}}_0}\) </span>age and opinion (about the reduction) are independent. <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Accept “not associated” instead of independent.</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span><span class="s1">\({{\text{H}}_1}\) </span>age and opinion are not independent. <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Notes: </strong>Follow through from part (a)(i). Accept “associated” or “dependent”.</p>
<p class="p1">Award <strong><em>(A1)</em>(ft) </strong>for their correct <span class="s1">\({{\text{H}}_1}\)</span> worded consistently with their part (a)(i).</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(2\) <strong><em>(A1)</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\frac{{80}}{{130}} \times \frac{{35}}{{130}} \times 130\;\;\;\)<span class="s1"><strong>OR</strong></span>\(\;\;\;\frac{{80 \times 35}}{{130}}\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for \(\frac{{80}}{{130}} \times \frac{{35}}{{130}} \times 130\;\;\;\)<span class="s1"><strong>OR</strong>\(\;\;\;\frac{{80 \times 35}}{{130}}\) </span>seen. The following <strong><em>(A1) </em></strong>cannot be awarded without this statement.</p>
<p class="p2"> </p>
<p class="p1">\( = 21.5384 \ldots \) <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1">\( = 21.5\) <span class="Apple-converted-space"> </span><strong><em>(AG)</em></strong></p>
<p class="p1"><strong>Note: </strong>Both an unrounded answer that rounds to the given answer and rounded must be seen for the <strong><em>(A1) </em></strong>to be awarded. Accept \(21.54\)<span class="s2"> </span>or \(21.53\)<span class="s2"> </span>as an unrounded answer.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\({\chi ^2}{\text{ statistic}} = 10.3\;\;\;(10.3257 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p1"><strong>Note: </strong>Accept \(10\)<span class="s1"> </span>as a correct <span class="s1">2 </span>significant figure answer.</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> \(p\)-value </span>\( = 0.00573\;\;\;(0.00572531 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(G1)</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">since \(p\)-value \( < 0.01,{\text{ }}{{\text{H}}_0}\) should not be accepted <span class="Apple-converted-space"> </span><strong><em>(R1)(A1)</em>(ft)</strong></p>
<p class="p1"> </p>
<p class="p1"><strong>OR</strong></p>
<p class="p1">since \({\chi ^2}{\text{ statistic}} > {\chi ^2}{\text{ critical value}},{\text{ }}{{\text{H}}_0}\) should not be accepted <span class="Apple-converted-space"> </span><strong><em>(R1)(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Note: </strong>Do not award <strong><em>(R0)(A1)</em></strong>. Follow through from their answer to part (d). Award <strong><em>(R0)(A0) </em></strong>if part (d) is unanswered.</p>
<p class="p1">Award <strong><em>(R1) </em></strong>for a correct comparison of either their \(p\)-value to the test level or their \({\chi ^2}\) statistic to the<span class="Apple-converted-space"> </span>\({\chi ^2}\) critical value<span class="s1">, </span>award <strong><em>(A1) </em></strong>for the correct result from that comparison.</p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The great majority of candidates found this question to be a good start to the paper, with many perfect scores accruing. A common problem was the inability to form consistent null and alternative hypotheses. Also, calculating the expected value “by hand” as part of a “show that” question was left blank by a number of candidates; to reiterate again – to attain full marks, both the unrounded and the consistent and correctly rounded answer must be stated.</p>
<p>And, lastly, incorrect comparison of statistics when forming a conclusion was a common fault.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The great majority of candidates found this question to be a good start to the paper, with many perfect scores accruing. A common problem was the inability to form consistent null and alternative hypotheses. Also, calculating the expected value “by hand” as part of a “show that” question was left blank by a number of candidates; to reiterate again – to attain full marks, both the unrounded and the consistent and correctly rounded answer must be stated.</p>
<p>And, lastly, incorrect comparison of statistics when forming a conclusion was a common fault.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The great majority of candidates found this question to be a good start to the paper, with many perfect scores accruing. A common problem was the inability to form consistent null and alternative hypotheses. Also, calculating the expected value “by hand” as part of a “show that” question was left blank by a number of candidates; to reiterate again – to attain full marks, both the unrounded and the consistent and correctly rounded answer must be stated.</p>
<p>And, lastly, incorrect comparison of statistics when forming a conclusion was a common fault.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The great majority of candidates found this question to be a good start to the paper, with many perfect scores accruing. A common problem was the inability to form consistent null and alternative hypotheses. Also, calculating the expected value “by hand” as part of a “show that” question was left blank by a number of candidates; to reiterate again – to attain full marks, both the unrounded and the consistent and correctly rounded answer must be stated.</p>
<p>And, lastly, incorrect comparison of statistics when forming a conclusion was a common fault.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The great majority of candidates found this question to be a good start to the paper, with many perfect scores accruing. A common problem was the inability to form consistent null and alternative hypotheses. Also, calculating the expected value “by hand” as part of a “show that” question was left blank by a number of candidates; to reiterate again – to attain full marks, both the unrounded and the consistent and correctly rounded answer must be stated.</p>
<p>And, lastly, incorrect comparison of statistics when forming a conclusion was a common fault.</p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">The seniors from Gulf High School are required to participate in exactly one after-school sport. Data were gathered from a sample of 120 students regarding their choice of sport. The following data were recorded.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img 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" alt></span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">A \({\chi ^2}\) test was carried out at the 5 % significance level to analyse the relationship between gender and choice of after-school sport.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the null hypothesis, H<sub>0</sub>, for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the expected value of female footballers.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the critical value of \(\chi ^2\), at the 5 % level of significance.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to determine the \(\chi _{calc}^2\) value.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Determine whether H<sub>0</sub> should be accepted. Justify your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>One student is chosen at random from the 120 students.</span></p>
<p><span>Find the probability that this student</span></p>
<p><span>(i) is male;</span></p>
<p><span>(ii) plays tennis.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Two students are chosen at random from the 120 students.</span></p>
<p><span>Find the probability that</span></p>
<p><span>(i) both play football;</span></p>
<p><span>(ii) neither play basketball.</span></p>
<div class="marks">[5]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>H<sub>0</sub> : Gender and choice of afterschool sport are independent. <em><strong>(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Accept “not associated”, do not accept “not related”, “not correlated”, or “not linked”. Accept “the relation between gender and sport is independent”.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{85}}{{120}} \times \frac{{48}}{{120}} \times 120\left( {\frac{{85 \times 48}}{{120}}} \right)\) <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct expression.</span></p>
<p> </p>
<p><span>= 34 <em><strong>(A1)(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>2 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>5.99 (5.991) <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Note:</strong> Follow through from part (c).</span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>2.42 (2.42094…) <em><strong>(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Since 2.42 < 5.99 therefore accept (do not reject) H<sub>0</sub> <em><strong>(R1)(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Note:</strong> The numerical values need not be seen, but must be consistent with their parts (d) and (e).</span></p>
<p><span><br><strong>OR</strong></span></p>
<p><span><em>p-value</em> 0.298 > 0.05 therefore accept (do not reject) H<sub>0</sub> <em><strong>(R1)(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> <em>p-value</em> comparison may <strong>not</strong> be used as part of a follow through solution. Do not award <em><strong>(A1)(R0)</strong></em>. Follow through from parts (c), (d) and (e).<br></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{35}}{{120}}\left( {\frac{7}{{24}},{\text{ }}0.292,{\text{ }}29.2\% } \right)\) (0.291666...) <em><strong>(A1)</strong></em></span></p>
<p> </p>
<p><span>(ii) \(\frac{{25}}{{120}}\left( {\frac{5}{{24}},{\text{ }}0.208,{\text{ }}20.8\% } \right)\) (0.208333...) <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<p> </p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{48}}{{120}} \times \frac{{47}}{{119}}\) <em><strong>(A1)(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for two correct fractions, <em><strong>(M1)</strong></em> for multiplying their two fractions.</span></p>
<p><br><span>\( = \frac{{94}}{{595}}(0.158,{\text{ }}15.8\% )\) (0.157983...) <em><strong>(A1)(G2)</strong></em></span></p>
<p> </p>
<p><span>(ii) \(\frac{{73}}{{120}} \times \frac{{72}}{{119}}\) <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for multiplying correct fractions. If sampling with replacement has been used in both parts (h)(i) and (h)(ii) do not penalise in part (h)(ii). Award a maximum of <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong>.</span></p>
<p> </p>
<p><span>\( = \frac{{219}}{{595}}(0.368,{\text{ }}36.8\% )\) (0.368067...) <em><strong>(A1)(G2)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span><em><strong>[5 marks]</strong></em></span></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was successfully attempted by the great majority. However, the test is for the mathematical independence of the two variables; it does not address “correlation” or whether there is “no relation” between them. Further, the result of the test should be determined by the comparison of the <strong>numerical values</strong> of either the chi-squared calculated and critical values or the associated <em>p</em>-value and the significance level of the test. The creeping use of <em>k</em> as the critical value is the notation used in one text book; it is <strong>not</strong> standard notation and its use is not accepted. Comments were made on the G2 forms as to whether the the null hypothesis should be “accepted” or not rejected; both forms are acceptable.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">In the compound probability questions, the lack of an explicit tree diagram determined that many candidates were not able to proceed. Determining an appropriate technique is a skill that should be taught.</span></p>
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Daniel grows apples and chooses at random a sample of <span class="s1">100 </span>apples from his harvest.</p>
<p class="p1">He measures the diameters of the apples to the nearest <span class="s1">cm</span>. The following table shows the distribution of the diameters.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2015-12-22_om_08.48.03.png" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Using your graphic display calculator, write down the value of</p>
<p class="p1">(i) the mean of the diameters in this sample;</p>
<p class="p1">(ii) the standard deviation of the diameters in this sample.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Daniel assumes that the diameters of all of the apples from his harvest are normally distributed with a mean of <span class="s1">7 cm </span>and a standard deviation of <span class="s1">1.2 cm</span>. He classifies the apples according to their diameters as shown in the following table.</p>
<p class="p1"><img src="images/Schermafbeelding_2015-12-22_om_08.50.32.png" alt></p>
<p class="p1">Calculate the percentage of <strong>small </strong>apples in Daniel’s harvest.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Daniel assumes that the diameters of all of the apples from his harvest are normally distributed with a mean of <span class="s1">7 cm </span>and a standard deviation of <span class="s1">1.2 cm</span>. He classifies the apples according to their diameters as shown in the following table.</p>
<p class="p1"><img src="images/Schermafbeelding_2015-12-22_om_08.50.32.png" alt></p>
<p class="p1">Of the apples harvested, <span class="s1">5</span>% are <strong>large </strong>apples.</p>
<p class="p1">Find the value of \(a\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Daniel assumes that the diameters of all of the apples from his harvest are normally distributed with a mean of <span class="s1">7 cm </span>and a standard deviation of <span class="s1">1.2 cm</span>. He classifies the apples according to their diameters as shown in the following table.</p>
<p class="p1"><img src="images/Schermafbeelding_2015-12-22_om_08.50.32.png" alt></p>
<p class="p1">Find the percentage of <strong>medium </strong>apples.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Daniel assumes that the diameters of all of the apples from his harvest are normally distributed with a mean of <span class="s1">7 cm </span>and a standard deviation of <span class="s1">1.2 cm</span>. He classifies the apples according to their diameters as shown in the following table.</p>
<p class="p1"><img src="images/Schermafbeelding_2015-12-22_om_08.50.32.png" alt></p>
<p class="p1">This year, Daniel estimates that he will grow <span class="s1">\({\text{100}}\,{\text{000}}\) </span>apples.</p>
<p class="p1">Estimate the number of <strong>large </strong>apples that Daniel will grow this year.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(6.76{\text{ (cm)}}\) <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(M1) </em></strong>for an attempt to use the formula for the mean with a least two rows from the table.</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\(1.14{\text{ (cm)}}\;\;\;\left( {1.14122 \ldots {\text{ (cm)}}} \right)\) <span class="Apple-converted-space"> </span><strong><em>(G1)</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{P}}({\text{diameter}} < 6.5) = 0.338\;\;\;(0.338461)\) <span class="Apple-converted-space"> </span><strong><em>(M1)(A1)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(M1) </em></strong>for attempting to use the normal distribution to find the probability <strong>or </strong>for correct region indicated on labelled diagram. Award <strong><em>(A1) </em></strong>for correct probability.</p>
<p class="p2"> </p>
<p class="p1">\(33.8(\% )\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(G3)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(A1)</em>(ft) </strong>for converting their probability into a percentage.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{P}}({\text{diameter}} \geqslant a) = 0.05\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for attempting to use the normal distribution to find the probability <strong>or </strong>for correct region indicated on labelled diagram.</p>
<p class="p2"> </p>
<p class="p1">\(a = 8.97{\text{ (cm)}}\;\;\;(8.97382 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(A1)(G2)</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(100 - (5 + 33.8461 \ldots )\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p3"><span class="s1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for subtracting “\(5+\) their part (b)” from 100 </span><span class="s2"><strong>or </strong></span><span class="s1"><strong><em>(M1) </em></strong></span>for attempting to use the normal distribution to find the probability \({\text{P}}\left( {6.5 \leqslant {\text{diameter}} < {\text{their part (c)}}} \right)\) <span class="s1"><strong>or </strong>for correct region indicated on labelled diagram.</span></p>
<p class="p2"> </p>
<p class="p1">\( = 61.2(\% )\;\;\;\left( {61.1538 \ldots (\% )} \right)\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p1"><strong>Notes:<span class="Apple-converted-space"> </span></strong>Follow through from their answer to part (b). Percentage symbol is not required. Accept \(61.1(\%)\)<span class="s2"> </span>(\(61.1209\ldots(\%)\)) if \(8.97\)<span class="s2"> </span>used.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(100\,000 \times 0.05\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for multiplying by \(0.05\)<span class="s1"> (or \(5\%\)).</span></p>
<p class="p3"> </p>
<p class="p1">\( = 5000\) <span class="Apple-converted-space"> </span><strong><em>(A1)(G2)</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">An agricultural cooperative uses three brands of fertilizer, A, B and C, on 120 different crops. The crop yields are classified as High, Medium or Low.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">The data collected are organized in the table below.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">The agricultural cooperative decides to conduct a chi-squared test at the 1 % significance level using the data.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State the null hypothesis, H<sub>0</sub>, for the test.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the critical value for the test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Show that the expected number of Medium Yield crops using Fertilizer C is 17, correct to the nearest integer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find for the data</span></p>
<p><span>(i) the \(\chi^2\) calculated value, </span><span>\(\chi _{calc}^2\)</span><span>;</span></p>
<p><span>(ii) the <em>p</em>-value.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State the conclusion of the test. Give a reason for your decision.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>The (crop) yield is independent of the (type of) fertilizer used. <em><strong>(A1)(A1)</strong></em> </span></p>
<p><br><span><strong>Note: </strong> Award <em><strong>(A1)</strong></em> for (crop) yield and (type of) fertilizer, <em><strong>(A1)</strong></em> for “independent” or “not dependent” or “not associated”.</span></p>
<p><span> Do not accept “not correlated” or “not related” or “not connected” or “does not depend on”.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>4 <em><strong>(A1)</strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>13.277 <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Accept 13.3. Follow through from part (b).</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{50}}{{120}} \times \frac{{40}}{{120}} \times 120\) <strong>or</strong> \(\frac{{50 \times 40}}{{120}}\) <em><strong>(M1)</strong></em></span><br><br></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct substitution in the expected value formula.</span></p>
<p><br><span>= 16.6666... <em><strong>(A1)</strong></em></span><br><span><em><strong>=</strong></em> 17 <em><strong>(AG)</strong></em></span><br><br></p>
<p><span><strong>Note:</strong> Both unrounded and rounded answers must be seen to award <em><strong>(A1)</strong></em>.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\chi_{calc}^2 = 3.86 (3.86133...)\) <em><strong>(G2)</strong></em></span></p>
<p><span>(ii) <em>p</em>-value \( = 0.425\) (\(0.425097...\)) <em><strong>(G1)</strong></em></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Since \(\chi_{calc}^2\) < Critical Value <em><strong>(R1)</strong></em></span></p>
<p><span>Accept (do not reject) the Null Hypothesis. <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Accept decision based on <em>p</em>-value with comparison to 1 % (0.425097... > 0.01) . Do not award <em><strong>(R0)(A1)</strong></em>. Follow through from parts (c) and (e). Numerical answers must be present in the question for a valid comparison to be made.</span></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect terminology in the null hypothesis, (2) use of the \(5\%\) level, (3) an inability to find the expected value by hand, (4) comparison of incorrect values. Note, candidates will never be asked to calculate the chi-squared statistic other than from the GDC.</span></p>
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">The number of bottles of water sold at a railway station on each day is given in the following table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down</span></p>
<p><span>(i) the mean temperature;</span></p>
<p><span>(ii) the standard deviation of the temperatures.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the correlation coefficient, \(r\), for the variables \(n\) and \(T\).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Comment on your value for \(r\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The equation of the line of regression for \(n\) on \(T\) is \(n = dT - 100\).</span></p>
<p><span>(i) Write down the value of \(d\).</span></p>
<p><span>(ii) Estimate how many bottles of water will be sold when the temperature is \({19.6^ \circ }\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>On a day when the temperature was \({36^ \circ }\) Peter calculates that \(314\) bottles would be sold. Give one reason why his answer might be unreliable.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) 19.2 <em><strong>(G1)</strong></em></span></p>
<p><span>(ii) 1.45 <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(r = 0.942\) <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Strong, positive correlation. <em><strong>(A1)</strong></em><strong>(ft)<em>(A1)</em>(ft)</strong></span></p>
<p><span><strong><em>[2 marks]</em><br></strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(d = 11.5\) <em><strong>(G1)</strong></em></span></p>
<p><span>(ii) \(n = 11.5 \times 19.6 - 100\)</span></p>
<p><span>\( = 125\) (<em>accept</em> \(126\)) <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Note: </strong>Answer must be a whole number.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>It is unreliable to extrapolate outside the values given (outlier). <em><strong>(R1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">(i) Generally well done but many lost an AP here</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">(ii) Only correct if the candidate knew how to use their GDC and even then several gave the wrong standard deviation.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Again, only correct if the candidate could use their GDC. Many answers given were greater than 1 and the candidates did not see anything wrong with this.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Many received a ft mark for this part. The word “positive” was often omitted.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">(i) Most candidates substituted the first set of points into the equation instead of finding the regression line on their GDC.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">(ii) Most managed to score a ft point here. But some did not give their answer as a whole number.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Not many candidates mentioned the idea of an outlier. Most came up with some creative reason, albeit wrong, as to why the answer might be unreliable. Some of them made interesting reading.</span></p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A speed camera on Peterson Road records the speed of each passing vehicle. The speeds are found to be normally distributed with a mean of \(67\,{\text{km}}\,{{\text{h}}^{ - 1}}\) and a standard deviation of \(3.4\,{\text{km}}\,{{\text{h}}^{ - 1}}\).</p>
<p>Sketch a diagram of this normal distribution and shade the region representing the probability that the speed of a vehicle is between \(60\) and \(70\,{\text{km}}\,{{\text{h}}^{ - 1}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A vehicle on Peterson Road is chosen at random.</p>
<p>Find the probability that the speed of this vehicle is</p>
<p>(i) more than \(60\,{\text{km}}\,{{\text{h}}^{ - 1}}\);</p>
<p>(ii) less than \(70\,{\text{km}}\,{{\text{h}}^{ - 1}}\);</p>
<p>(iii) between \(60\) and \(70\,{\text{km}}\,{{\text{h}}^{ - 1}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>It is found that \(19\,\% \) of the vehicles are exceeding the speed limit of \(s\,{\text{km}}\,{{\text{h}}^{ - 1}}\).</p>
<p>Find the value of \(s\) , correct to the nearest integer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>There is a fine of \({\text{US}}\$ 65\) for exceeding the speed limit on Peterson Road. On a particular day the total value of fines issued was \({\text{US}}\$ 14\,820\).</p>
<p>(i) Calculate the number of fines that were issued on this day.</p>
<p>(ii) Estimate the total number of vehicles that passed the speed camera on Peterson Road on this day.</p>
<div class="marks">[4]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" alt></p>
<p><strong><em>(A1)(A1)</em></strong></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for normal curve with mean of \(67\) indicated or two vertical lines drawn approximately in correct place. Award <strong><em>(A1)</em></strong> for correct shaded region (between the vertical lines.).</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \(0.980\,\,\,(0.980244...,\,\,98.0\,\% )\) <em><strong>(G1)</strong></em></p>
<p> </p>
<p>(ii) \(0.811\,\,\,(0.811207...,\,\,81.1\,\% )\) <em><strong>(G1)</strong></em></p>
<p> </p>
<p>(iii) \(0.791\,\,\,(0.791451...,\,\,79.1\,\% )\) <em><strong>(G1)</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{P}}\,\left( {S > s} \right) = 19\,\% \,\,(0.19)\) <strong>OR</strong> \({\text{P}}\,\left( {S > s} \right) = 81\,\% \,\,(0.81)\)<strong> (M1)</strong></p>
<p><strong>OR</strong></p>
<p><img src="data:image/png;base64,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" alt></p>
<p><strong>(M1)</strong></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for the correct probability equation <strong>OR</strong> for a correct region indicated on labelled diagram.</p>
<p>\((s = )\,\,70.0\,\,\,(69.9848...)\) <em><strong>(A1)(G2)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for any correct method.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \(\frac{{14\,820}}{{65}}\) <em><strong>(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for dividing \(14\,820\) by \(65\).</p>
<p>\( = 228\) <em><strong>(A1)(G2)</strong></em></p>
<p> </p>
<p>(ii) \(\frac{{{\text{their 228}}}}{{0.19}}\) (or equivalent) <em><strong>(M1)</strong></em></p>
<p>\( = 1200\) (vehicles) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct method. Follow through from their part (d)(i).</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Question 3: The normal distribution<br>Candidates showed comprehensive understanding of the normal distribution. The graphic display calculator was used efficiently by most of the candidates. There was much variability in the ability to sketch the curve in part (a). Instead of drawing the straight-forward sketch with the mean line and two vertical lines as required at 60 and 70, many linked it to standard deviations. It was very rare to see any method in part (c). Most candidates managed part (d)(i) but few went on to complete part (d)(ii).</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 3: The normal distribution<br>Candidates showed comprehensive understanding of the normal distribution. The graphic display calculator was used efficiently by most of the candidates. There was much variability in the ability to sketch the curve in part (a). Instead of drawing the straight-forward sketch with the mean line and two vertical lines as required at 60 and 70, many linked it to standard deviations. It was very rare to see any method in part (c). Most candidates managed part (d)(i) but few went on to complete part (d)(ii).</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 3: The normal distribution<br>Candidates showed comprehensive understanding of the normal distribution. The graphic display calculator was used efficiently by most of the candidates. There was much variability in the ability to sketch the curve in part (a). Instead of drawing the straight-forward sketch with the mean line and two vertical lines as required at 60 and 70, many linked it to standard deviations. It was very rare to see any method in part (c). Most candidates managed part (d)(i) but few went on to complete part (d)(ii).</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 3: The normal distribution<br>Candidates showed comprehensive understanding of the normal distribution. The graphic display calculator was used efficiently by most of the candidates. There was much variability in the ability to sketch the curve in part (a). Instead of drawing the straight-forward sketch with the mean line and two vertical lines as required at 60 and 70, many linked it to standard deviations. It was very rare to see any method in part (c). Most candidates managed part (d)(i) but few went on to complete part (d)(ii).</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">One day the numbers of customers at three cafés, “Alan’s Diner” ( \(A\) ), “Sarah’s Snackbar” ( \(S\) ) and “Pete’s Eats” ( \(P\) ), were recorded and are given below.</span></p>
<p><br><span style="font-family: times new roman,times; font-size: medium;"> 17 were customers of Pete’s Eats only</span><br><span style="font-family: times new roman,times; font-size: medium;"> 27 were customers of Sarah’s Snackbar only</span><br><span style="font-family: times new roman,times; font-size: medium;"> 15 were customers of Alan’s Diner only</span><br><span style="font-family: times new roman,times; font-size: medium;"> 10 were customers of Pete’s Eats <strong>and</strong> Sarah’s Snackbar <strong>but not</strong> Alan’s Diner</span><br><span style="font-family: times new roman,times; font-size: medium;"> 8 were customers of Pete’s Eats <strong>and</strong> Alan’s Diner <strong>but not</strong> Sarah’s Snackbar</span></p>
</div>
<div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">Some of the customers in each café were given survey forms to complete to find out if they were satisfied with the standard of service they received.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img 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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a Venn Diagram, using sets labelled \(A\) , \(S\) and \(P\) , that shows this information.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>There were 48 customers of Pete’s Eats that day. Calculate the number of people who were customers of all three cafés.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>There were 50 customers of Sarah’s Snackbar that day. Calculate the total number of people who were customers of Alan’s Diner.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of customers of Alan’s Diner that were also customers of Pete’s Eats.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find \(n[(S \cup P) \cap A']\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>One of the survey forms was chosen at random, find the probability that the form showed “Dissatisfied”;</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>One of the survey forms was chosen at random, find the probability that the form showed “Satisfied” and was completed at Sarah’s Snackbar;</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>One of the survey forms was chosen at random, find the probability that the form showed “Dissatisfied”, given that it was completed at Alan’s Diner.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A \({\chi ^2}\) test at the \(5\% \) significance level was carried out to determine whether there was any difference in the level of customer satisfaction in each of the cafés.</span></p>
<p><span> Write down the null hypothesis, \({{\text{H}}_0}\) , for the \({\chi ^2}\) test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A \({\chi ^2}\) test at the \(5\% \) significance level was carried out to determine whether there was any difference in the level of customer satisfaction in each of the cafés.</span></p>
<p><span>Write down the number of degrees of freedom for the test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A \({\chi ^2}\) test at the \(5\% \) significance level was carried out to determine whether there was any difference in the level of customer satisfaction in each of the cafés.</span></p>
<p><span>Using your graphic display calculator, find \({\chi ^2}_{calc}\) .<br></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A \({\chi ^2}\) test at the \(5\% \) significance level was carried out to determine whether there was any difference in the level of customer satisfaction in each of the cafés.</span></p>
<p><span>State, giving a reason, the conclusion to the test.<br></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img 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" alt></span></p>
<p><span><em><strong>(A1)</strong></em> for rectangle and three labelled intersecting circles</span><br><span><em><strong>(A1)</strong></em> for \(15\), \(27\) and \(17\)</span><br><span><em><strong>(A1)</strong></em> for \(10\) and \(8\) <em><strong>(A3)</strong></em></span></p>
<p><span><em><strong>[3 marks]<br></strong></em></span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(48 - (8 +10 +17)\) <em>or equivalent</em> <em><strong>(M1)</strong></em></span></p>
<p><span>\( = 13\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(50 - (27 +10 +13)\) <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for working seen.</span></p>
<p> </p>
<p><span>\( = 0\) <em><strong>(A1)</strong></em></span><br><span>number of elements in A \(= 36\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G3)</strong></em></span></p>
<p><span><strong>Note:</strong> Follow through from (b).</span></p>
<p><span><em><strong>[3 marks]</strong></em><br></span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(21\) <strong><em>(A1)</em>(ft)</strong></span></p>
<p><span><strong>Note:</strong> Follow through from (b) even if no working seen.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(54\) <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for \(17\), \(10\), \(27\) seen. Follow through from (a).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{40}}{{120}}{\text{ }}\left( {\frac{1}{3}{\text{, }}0.333{\text{, }}33.3\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{34}}{{120}}{\text{ }}\left( {\frac{{17}}{{60}}{\text{, }}0.283{\text{, }}28.3\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{8}{{28}}{\text{ }}\left( {\frac{2}{7}{\text{, }}0.286{\text{, }}28.6\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>customer satisfaction is <strong>independent</strong> of café <em><strong>(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Accept “customer satisfaction is <strong>not associated with</strong> the café”.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<p><span> </span></p>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(2\) <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(0.754\) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(G1)(G1)(AP)</strong></em> for \(0.75\) or for correct answer incorrectly rounded to 3 s.f. or more, <em><strong>(G0)</strong></em> for \(0.7\).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>since \({\chi ^2}_{calc} < {\chi ^2}_{crit}5.991 accept (or Do not reject) H<sub>0</sub> <strong><em>(R1)(A1)</em>(ft)</strong></span></p>
<p><span><strong>Note:</strong> Follow through from their value in (e).</span></p>
<p><span><strong>OR</strong></span></p>
<p><span>Accept (or Do not reject) H<sub>0</sub> as \(p\)-value \((0.686) > 0.05\) <strong><em>(R1)(A1)</em>(ft)</strong></span></p>
<p><span><strong>Notes:</strong> Do not award <em><strong>(A1)(R0)</strong></em>. Award the <em><strong>(R1)</strong></em> for comparison of appropriate values.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This part was successfully attempted by the great majority. A common mistake was the failure to intersect all three sets.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This part was successfully attempted by the great majority. A common mistake was the failure to intersect all three sets.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This part was successfully attempted by the great majority. A common mistake was the failure to intersect all three sets.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This part was successfully attempted by the great majority. A common mistake was the failure to intersect all three sets.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This part was successfully attempted by the great majority. A common mistake was the failure to intersect all three sets.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">A surprising number seemed unfamiliar with set notation in (e) and thus did not attempt this part.</span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"> </span></p>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The chi-squared test was well done by the great majority, however, it was clear that a number of centres do not teach this subject, since there were a number of scripts which either were left blank or showed no understanding in the responses seen.</span></p>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The chi-squared test was well done by the great majority, however, it was clear that a number of centres do not teach this subject, since there were a number of scripts which either were left blank or showed no understanding in the responses seen.</span></p>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The chi-squared test was well done by the great majority, however, it was clear that a number of centres do not teach this subject, since there were a number of scripts which either were left blank or showed no understanding in the responses seen.</span></p>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The work on probability also proved accessible to the great majority with a large number of candidates attaining full marks. Most errors occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The chi-squared test was well done by the great majority, however, it was clear that a number of centres do not teach this subject, since there were a number of scripts which either were left blank or showed no understanding in the responses seen.</span></p>
<div class="question_part_label">B.g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">The Brahma chicken produces eggs with weights in grams that are normally distributed about a mean of \(55{\text{ g}}\) with a standard deviation of \(7{\text{ g}}\). The eggs are classified as small, medium, large or extra large according to their weight, as shown in the table below.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Sketch a diagram of the distribution of the weight of Brahma chicken eggs. On your diagram, show clearly the boundaries for the classification of the eggs.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>An egg is chosen at random. Find the probability that the egg is</span><br><span>(i) medium;</span><br><span>(ii) extra large.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>There is a probability of \(0.3\) that a randomly chosen egg weighs more than \(w\) grams.</span></p>
<p><span>Find \(w\) .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The probability that a Brahma chicken produces a large size egg is \(0.121\). Frank’s Brahma chickens produce \(2000\) eggs each month.</span></p>
<p><span>Calculate an estimate of the number of large size eggs produced by Frank’s chickens each month.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The selling price, in US dollars (USD), of each size is shown in the table below.</span><br><span><img src="data:image/png;base64,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" alt></span><br><span>The probability that a Brahma chicken produces a small size egg is \(0.388\).</span></p>
<p><span>Estimate the monthly income, in USD, earned by selling the \(2000\) eggs. Give your answer correct to two decimal places.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img src="data:image/png;base64,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" alt></span></p>
<p><span><em><strong>(A1)</strong></em> for normal curve with mean of \(55\) indicated</span><br><span><em><strong>(A1)</strong></em> for three lines in approximately the correct position</span><br><span><em><strong>(A1)</strong></em> for labels on the three lines <em><strong>(A1)(A1)(A1)</strong></em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \({\text{P}}(53 \leqslant {\text{Weight}} < 63) = 0.486\) (\(0.485902 \ldots \)) <em><strong>(M1)(A1)(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct region indicated on labelled diagram.</span></p>
<p><br><span>(ii) \({\text{P}}({\text{Weight}} > 73) = 0.00506\) (\(0.00506402\)) <em><strong>(M1)(A1)(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct region indicated on labelled diagram.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\({\text{P}}({\text{Weight}} > w) = 0.3\) <em><strong>(M1)</strong></em></span><br><span>\(w = 58.7\) (\(58.6708 \ldots \)) <em><strong>(A1)(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct region indicated on labelled diagram.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Expected number of large size eggs</span></p>
<p><span>\( = 2000(0.121)\) <em><strong>(M1)</strong></em></span><br><span>\( = 242\) <em><strong>(A1)(G2)</strong></em></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Expected income</span><br><span>\( = 2000 \times 0.30 \times 0.388 + 2000 \times 0.50 \times 0.486 + 2000 \times 0.65 \times 0.121 + 2000 \times 0.80 \times 0.00506\) <em><strong>(M1)(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for their correct products, <em><strong>(M1)</strong></em> for addition of 4 terms.</span></p>
<p><span> </span></p>
<p><span>\( = 884.20{\text{ USD}}\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G3)</strong></em></span></p>
<p><span><strong>Note:</strong> Follow through from part (b).</span></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">Alex and Kris are riding their bicycles together along a bicycle trail and note the following distance markers at the given times.</span></p>
<p><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a scatter diagram of the data. Use 1 cm to represent 1 hour and 1 cm to represent 10 km.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down for this set of data </span><span>the mean time, \(\bar t\).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down for this set of data the mean distance, \(\bar d\).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Mark and label the point \(M(\bar t,{\text{ }}\bar d)\) on your scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the line of best fit on your scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong>Using your graph</strong>, estimate the time when Alex and Kris pass the 85 km distance marker. Give your answer correct to <strong>one decimal place</strong>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the equation of the regression line for the data given.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong>Using your equation</strong> calculate the distance marker passed by the cyclists at 10.3 hours.<br></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Is this estimate of the distance reliable? Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img 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" alt><span> <em><strong>(A1)(A2)</strong></em></span></span></p>
<p> </p>
<p><span><strong>Notes:</strong> Award <em><strong>(A1)</strong></em> for axes labelled with d and t and correct scale, <em><strong>(A2)</strong></em> for 6 or 7 points correctly plotted, <em><strong>(A1)</strong></em> for 4 or 5 points, <em><strong>(A0)</strong></em> for 3 or less points correctly plotted. Award at most <em><strong>(A1)(A1)</strong></em> if points are joined up. If axes are reversed award at most <em><strong>(A0)(A2)</strong></em></span></p>
<p><span> </span></p>
<p><span><em><strong>[3 marks]</strong></em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\bar t = 4\) <em><strong>(G1)<br></strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p> </p>
<p><span>\(\bar d = 81.1\left( {\frac{{568}}{7}} \right)\) <strong><em>(G1)</em></strong></span></p>
<p><span> </span></p>
<p><span><strong>Note:</strong> If answers are the wrong way around award in (i) <strong><em>(G0)</em></strong> and in (ii) <strong><em>(G1)</em>(ft)</strong>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[1 mark]</span></strong></em></p>
<p> </p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Point marked and labelled with M or \(\bar t\), \(\bar d\) on their graph <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><em><span><strong>[2 marks]</strong></span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Line of best fit drawn that passes through their M and (0, 48) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong> </span></p>
<p> </p>
<p><span><strong>Notes:</strong> Award <em><strong>(A1)</strong></em><strong>(ft)</strong> for straight line that passes through their M, <em><strong>(A1)</strong></em> for line (extrapolated if necessary) that passes through (0, 48).</span></p>
<p><span>Accept error of ±3. If ruler not used award a maximum of <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A0)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>4.5h (their answer ±0.2) <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p> </p>
<p><span><strong>Note:</strong> Follow through from their graph. If method shown by some indication on graph of point but answer is incorrect, award <em><strong>(M1)(A0)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>d</em> = 8.25<em>t</em> + 48.1 <em><strong>(G1)(G1)</strong></em> </span></p>
<p> </p>
<p><span><strong>Notes:</strong> Award <em><strong>(G1)</strong></em> for 8.25, <em><strong>(G1)</strong></em> for 48.1.</span></p>
<p><span>Award at most <em><strong>(G1)(G0)</strong></em> if <em>d</em> = (<em>or y</em> =) is not seen.</span></p>
<p><span>Accept <em>d</em> – 81.1 = 8.25(<em>t </em></span><span><span>– </span>4) or equivalent.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>d</em> = 8.25 × 10.3 + 48.1 <em><strong>(M1)</strong></em></span></p>
<p><span><em>d</em> = 133 km <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)<br></strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>No <strong><em>(A1)</em></strong></p>
<p>Outside the set of values of <em>t</em> or equivalent. <strong><em>(R1)</em></strong></p>
<p><strong>Note:</strong> Do not award <strong><em>(A1)(R0)</em></strong>.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">g.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">This question was well answered by most of the candidates. Diagrams were in general well drawn except for some students that reversed the axes or did not use the stated scales. They were able to use the GDC to find the means and the equation of the regression line. Very few students could take the correct decision in (g) (ii) by stating that the value was outside the range of the data set. The majority inclined their answers towards the context of the question and forgot what they had been taught about how wrong extrapolation can be.</span></p>
<div class="question_part_label">g.ii.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">A store recorded their sales of televisions during the 2010 football World Cup. They looked at the numbers of televisions bought by gender and the size of the television screens.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">This information is shown in the table below; S represents the size of the television screen in inches.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">The store wants to use this information to predict the probability of selling these sizes of televisions for the 2014 football World Cup.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use the table to find the probability that</span></p>
<p><span>(i) a television will be bought by a female;</span></p>
<p><span>(ii) a television with a screen size of 32 < <em>S</em> ≤ 46 will be bought;</span></p>
<p><span>(iii) a television with a screen size of 32 < <em>S</em> ≤ 46 will be bought by a female;</span></p>
<p><span>(iv) a television with a screen size greater than 46 inches will be bought, given that it is bought by a male.</span></p>
<div class="marks">[6]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong></strong>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></p>
<p><span>Write down the null hypothesis.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></span></p>
<p><span>Show that the expected frequency for females who bought a screen size of 32 < <em>S</em> ≤ 46, is 79, correct to the nearest integer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></span></p>
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></span></p>
<p><span>Write down the \({\chi ^2}\) calculated value.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></span></p>
<p><span>Write down the critical value for this test.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The manager of the store wants to determine whether the screen size is independent of gender. A Chi-squared test is performed at the 1 % significance level.</span></span></p>
<p><span>Determine if the null hypothesis should be accepted. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{220}}{{500}}\left( {\frac{{11}}{{25}},{\text{ 0}}{\text{.44, 44}}\% } \right)\) <em><strong>(A1)(G1)</strong></em></span></p>
<p> </p>
<p><span>(ii) \(\frac{{180}}{{500}}\left( {\frac{{9}}{{25}},{\text{ 0}}{\text{.36, 36}}\% } \right)\) <em><strong>(A1)(G1)</strong></em></span></p>
<p> </p>
<p><span>(iii) \(\frac{{40}}{{500}}\left( {\frac{{2}}{{25}},{\text{ 0}}{\text{.08, 8}}\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p> </p>
<p><span>(iv) \(\frac{{55}}{{500}}\left( {\frac{{11}}{{56}},{\text{ 0}}{\text{.196, 19.6}}\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p> </p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator. Award <em><strong>(A0)(A0)</strong></em> if answers are given as incorrect reduced fractions without working.</span></p>
<p> </p>
<p><em><strong><span>[6 marks]</span></strong></em></p>
<p> </p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>“The size of the television screen is independent of gender.” <em><strong>(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Accept “not associated”, do not accept “not correlated”.</span></p>
<p><em><strong><span>[1 mark]</span></strong></em></p>
<p> </p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{180}}{{500}} \times \frac{{220}}{{500}} \times 500\) <strong>OR</strong> \(\frac{{180 \times 220}}{{500}}\) <em><strong>(M1)</strong></em></span></p>
<p><span>= 79.2 <em><strong>(A1)</strong></em></span></p>
<p><span>= 79 <em><strong>(AG)</strong></em> </span></p>
<p><span><strong>Note:</strong> Both the unrounded and the given answer must be seen for the final <em><strong>(A1)</strong></em> to be awarded.</span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>3 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\chi _{calc}^2\) = 104(103.957...) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> if an attempt at using the formula is seen but incorrect answer obtained.</span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>11.345 <strong><em>(A1)</em>(ft)</strong></span></p>
<p><span><strong>Notes:</strong> Follow through from their degrees of freedom.</span></p>
<p><em><strong><span>[1 mark]</span></strong></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\chi _{calc}^2\) > \(\chi _{crit}^2\) <strong>OR</strong> <em>p</em> < 0.01 <strong><em>(R1)</em></strong></span></p>
<p><span>Do not accept H<sub>0</sub>. <strong><em>(A1)</em>(ft)</strong> </span></p>
<p><span><strong>Note:</strong> Do not award <em><strong>(R0)(A1)</strong></em><strong>(ft)</strong>. Follow through from their parts (d), (e) and (f).</span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Part (a) was generally well answered by most of the students, except for part (a)(iv) which called for conditional probability. </span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Most students correctly stated the null hypothesis in part (b), and answered parts (d), (e), (f) and (g). </span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">In some responses to part (c) it seemed that the difference between calculation of the expected value and showing that the value is 79 was not clear to the candidates. It is important that teachers explain to their students that in a <em><strong>“show that”</strong> question</em> they are expected to demonstrate the mathematical reasoning through which the given answer is obtained.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Most students correctly stated the null hypothesis in part (b), and answered parts (d), (e), (f) and (g). </span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Most students correctly stated the null hypothesis in part (b), and answered parts (d), (e), (f) and (g). </span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Most students correctly stated the null hypothesis in part (b), and answered parts (d), (e), (f) and (g). </span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Most students correctly stated the null hypothesis in part (b), and answered parts (d), (e), (f) and (g). </span></p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">Pam has collected data from a group of 400 IB Diploma students about the Mathematics course they studied and the language in which they were examined (English, Spanish or French). The summary of her data is given below.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A student is chosen at random from the group. Find the probability that the student</span></p>
<p><span>(i) studied Mathematics HL;</span></p>
<p><span>(ii) was examined in French;</span></p>
<p><span>(iii) studied Mathematics HL and was examined in French;</span></p>
<p><span>(iv) did not study Mathematics SL and was not examined in English;</span></p>
<p><span>(v) studied Mathematical Studies SL given that the student was examined in Spanish.</span></p>
<div class="marks">[8]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Pam believes that the Mathematics course a student chooses is independent of the language in which the student is examined.</span></p>
<p><span>Using your answers to parts (a) (i), (ii) and (iii) above, state whether there is any evidence for Pam’s belief. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Pam decides to test her belief using a Chi-squared test at the \(5\% \) level of significance.</span></p>
<p><span>(i) State the null hypothesis for this test.</span></p>
<p><span>(ii) Show that the expected number of Mathematical Studies SL students who took the examination in Spanish is \(41.3\), correct to 3 significant figures.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down</span></p>
<p><span>(i) the Chi-squared calculated value;</span></p>
<p><span>(ii) the number of degrees of freedom;</span></p>
<p><span>(iii) the Chi-squared critical value.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State, giving a reason, whether there is sufficient evidence at the \(5\% \) level of significance that Pam’s belief is correct.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{100}}{{400}}{\text{ }}\left( {\frac{1}{4}{\text{, }}0.25{\text{, }}25\% } \right)\) <em><strong>(A1)</strong></em></span></p>
<p><span> </span></p>
<p><span>(ii) \(\frac{{90}}{{400}}{\text{ }}\left( {\frac{9}{{40}}{\text{, }}0.225{\text{, }}22.5\% } \right)\) <em><strong>(A1)</strong></em></span></p>
<p><span> </span></p>
<p><span>(iii) \(\frac{{20}}{{400}}{\text{ }}\left( {\frac{1}{{20}}{\text{, }}0.05{\text{, }}5\% } \right)\) <em><strong>(A1)(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p> </p>
<p><span>(iv) \(\frac{{120}}{{400}}{\text{ }}\left( {\frac{3}{{10}}{\text{, }}0.3{\text{, }}30\% } \right)\) <em><strong>(A1)(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><span> </span></p>
<p><span>(v) \(\frac{{30}}{{110}}{\text{ }}\left( {\frac{3}{{11}}{\text{, }}0.273{\text{, }}27.3\% } \right)\) (\(0.272727 \ldots \)) <em><strong>(A1)(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator. Accept \(0.27\), do not accept \(0.272\), do not accept \(0.3\).</span></p>
<p><span> </span></p>
<p><span><em><strong>[8 marks]</strong></em><br></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{1}{{20}} \ne \frac{1}{4} \times \frac{9}{{40}}\) <em><strong>(R1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Note:</strong> The fractions must be used as part of the reason. Follow through from (a)(i), (a)(ii) and (a)(iii).</span></p>
<p> </p>
<p><span>Pam is not correct. <strong><em>(A1)</em>(ft)</strong></span></p>
<p><span><strong>Notes:</strong> Do not award <em><strong>(R0)(A1)</strong></em>. Accept the events are not independent (dependent).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) The mathematics course and language of examination are independent. <em><strong>(A1)</strong></em></span></p>
<p><span><strong>Notes:</strong> Accept “There is no association between Mathematics course and language”. Do not accept “not related”, “not correlated”, “not influenced”.</span></p>
<p><br><span>(ii) \(\frac{{110}}{{400}} \times \frac{{150}}{{400}} \times 400{\text{ }}\left( { = \frac{{110 \times 150}}{{400}}} \right)\) <em><strong>(M1)</strong></em></span></p>
<p><span> \( = 41.25\) <em><strong>(A1)</strong></em></span></p>
<p><span> \( = 41.3\) <em><strong>(AG)</strong></em></span></p>
<p><span><strong>Note:</strong> \(41.25\) <strong>and</strong> \(41.3\) must be seen to award final <em><strong>(A1)</strong></em>.</span></p>
<p><span> </span></p>
<p><span><em><strong>[3 marks]</strong></em><br></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(7.67\) (\(7.67003 \ldots \)) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Accept \(7.7\), do not accept \(8\) or \(7.6\). Award <em><strong>(G1)</strong></em> if formula with all nine terms seen but their answer is not one of those above.</span></p>
<p> </p>
<p><span>(ii) \(4\) <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span>(iii) \(9.488\) <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Notes:</strong> Accept \(9.49\) or \(9.5\), do not accept \(9.4\) or \(9\). Follow through from their degrees of freedom.</span></p>
<p><span> </span></p>
<p><span><em><strong>[4 marks]</strong></em><br></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(7.67 < 9.488\) <em><strong>(R1)</strong></em></span></p>
<p><strong><span>OR</span></strong></p>
<p><span>\(p = 0.104 \ldots , p > 0.05\) <em><strong>(R1)</strong></em></span></p>
<p><span>Accept (Do not reject) \({H_0}\) (Pam’s belief is correct) <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Notes:</strong> Follow through from part (d). Do not award <em><strong>(R0)(A1)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The simple probabilities beginning this question were successfully attempted by the great majority. Most errors in the latter parts occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table. Probability questions in this course are, in the main, contextual and the reliance of formulas is not always beneficial to the candidates. Only the best candidates realized the significance of part (b) as a link to the chi-squared test.</span></p>
<p><br><span style="font-size: medium; font-family: times new roman,times;">This was well attempted by the majority, the weakness being the sole reliance of the calculator to calculate expected value. However, there still remains confusion between critical and <em>p</em>-values as the basis for accepting the null hypothesis.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The simple probabilities beginning this question were successfully attempted by the great majority. Most errors in the latter parts occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table. Probability questions in this course are, in the main, contextual and the reliance of formulas is not always beneficial to the candidates. Only the best candidates realized the significance of part (b) as a link to the chi-squared test.</span></p>
<p><br><span style="font-size: medium; font-family: times new roman,times;">This was well attempted by the majority, the weakness being the sole reliance of the calculator to calculate expected value. However, there still remains confusion between critical and \(p\)-values as the basis for accepting the null hypothesis.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The simple probabilities beginning this question were successfully attempted by the great majority. Most errors in the latter parts occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table. Probability questions in this course are, in the main, contextual and the reliance of formulas is not always beneficial to the candidates. Only the best candidates realized the significance of part (b) as a link to the chi-squared test.</span></p>
<p><br><span style="font-size: medium; font-family: times new roman,times;">This was well attempted by the majority, the weakness being the sole reliance of the calculator to calculate expected value. However, there still remains confusion between critical and \(p\)-values as the basis for accepting the null hypothesis.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The simple probabilities beginning this question were successfully attempted by the great majority. Most errors in the latter parts occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table. Probability questions in this course are, in the main, contextual and the reliance of formulas is not always beneficial to the candidates. Only the best candidates realized the significance of part (b) as a link to the chi-squared test.</span></p>
<p><br><span style="font-size: medium; font-family: times new roman,times;">This was well attempted by the majority, the weakness being the sole reliance of the calculator to calculate expected value. However, there still remains confusion between critical and \(p\)-values as the basis for accepting the null hypothesis.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The simple probabilities beginning this question were successfully attempted by the great majority. Most errors in the latter parts occurred due to candidates trying to use the algebraic form of laws of probability, rather than by interpreting the contingency table. Probability questions in this course are, in the main, contextual and the reliance of formulas is not always beneficial to the candidates. Only the best candidates realized the significance of part (b) as a link to the chi-squared test.</span></p>
<p><br><span style="font-size: medium; font-family: times new roman,times;">This was well attempted by the majority, the weakness being the sole reliance of the calculator to calculate expected value. However, there still remains confusion between critical and \(p\)-values as the basis for accepting the null hypothesis.</span></p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">Jorge conducted a survey of \(200\) drivers. He asked two questions:</span></p>
<p style="margin-left: 60px;"><span style="font-family: times new roman,times; font-size: medium;">How long have you had your driving licence?</span><br><span style="font-family: times new roman,times; font-size: medium;">Do you wear a seat belt when driving?</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The replies are summarized in the table below.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Jorge applies a \({\chi ^2}\) test at the \(5\% \) level to investigate whether wearing a seat belt is associated with the time a driver has had their licence.</span></p>
<p><span>(i) Write down the null hypothesis, \({{\text{H}}_0}\).</span></p>
<p><span>(ii) Write down the number of degrees of freedom.</span></p>
<p><span>(iii) Show that the expected number of drivers that wear a seat belt and have had their driving licence for more than \(15\) years is \(22\), correct to the nearest whole number.</span></p>
<p><span>(iv) Write down the \({\chi ^2}\) test statistic for this data.</span></p>
<p><span>(v) Does Jorge accept \({{\text{H}}_0}\) ? Give a reason for your answer.</span></p>
<div class="marks">[8]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Consider the \(200\) drivers surveyed. One driver is chosen at random. Calculate the probability that</span></p>
<p><span>(i) this driver wears a seat belt;</span></p>
<p><span>(ii) the driver does not wear a seat belt, <strong>given that</strong> the driver has held a licence for more than \(15\) years.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Two drivers are chosen at random. Calculate the probability that</span></p>
<p><span>(i) both wear a seat belt.</span></p>
<p><span>(ii) at least one wears a seat belt.</span></p>
<div class="marks">[6]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \({{\text{H}}_0} = \) wearing of a seat belt and the time a driver has held a licence are independent. <em><strong>(A1)</strong></em></span></p>
<p><br><span><strong>Note: </strong>For independent accept 'not associated' but do not accept 'not related' or 'not correlated'</span></p>
<p><br><span>(ii) \(2\) <em><strong>(A1)</strong></em></span></p>
<p><span>(iii) \(\frac{{98 \times 45}}{{200}} = 22.05 = 22\) (<em>correct to the nearest whole number</em>) <em><strong>(M1)(A1)(AG)</strong></em></span></p>
<p><br><span><strong>Note: <em>(M1)</em></strong> for correct formula and <em><strong>(A1)</strong></em> for correct substitution. Unrounded answer must be seen for the <em><strong>(A1)</strong></em> to be awarded.</span></p>
<p><br><span>(iv) \({\chi ^2} = 8.12\) <em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note: </strong>For unrounded answer award <em><strong>(G1)(G0)(AP)</strong></em>. If formula used award <em><strong>(M1)</strong></em> for correct substituted formula with correct substitution (6 terms) <em><strong>(A1)</strong></em> for correct answer.</span></p>
<p><br><span>(v) “Does not accept \({{\text{H}}_0}\)” <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span>\(p{\text{-}}value < 0.05\) <em><strong>(R1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note: </strong>Allow “Reject \({{\text{H}}_0}\)” or equivalent. Follow through from their \({\chi ^2}\) statistic. Award <strong><em>(R1)</em>(ft)</strong> for comparing the appropriate values. The <strong><em>(A1)</em>(ft)</strong> can be awarded only if the conclusion is valid according to the comparison given. If no reason given or </span><span>if reason is wrong the two marks are lost.</span></p>
<p><span><em><strong>[8 marks]</strong></em><br></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{98}}{{200}}( = 0.49{\text{, }}49\% )\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><br><span><strong>Note: <em>(A1)</em></strong> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><br><span>(ii) \(\frac{{15}}{{45}}( = 0.333{\text{, }}33.3\% )\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><br><span><strong>Note: <em>(A1)</em></strong> for numerator, <em><strong>(A1)</strong></em> for denominator.</span></p>
<p><span><em><strong>[4 marks]</strong></em><br></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{98}}{{200}} \times \frac{{97}}{{199}} = 0.239{\text{ }}(23.9\% )\) <em><strong>(A1)(M1)(A1)(G3)</strong></em></span></p>
<p><br><span><strong>Note: <em>(A1)</em></strong> for correct probabilities seen, <em><strong>(M1)</strong></em> for multiplying two probabilities, <em><strong>(A1)</strong></em> for correct answer.</span></p>
<p><br><span>(ii) \(1 - \frac{{102}}{{200}} \times \frac{{101}}{{199}} = 0.741{\text{ }}(74.1\% )\) <em><strong>(M1)(M1)(A1)</strong></em><strong>(ft)<em>(G2)</em></strong></span></p>
<p><span> </span></p>
<p><span><strong>Note: <em>(M1)</em></strong> for showing the product, <em><strong>(M1)</strong></em> for using the probability of the complement, <em><strong>(A1)</strong></em> for correct answer. Follow through for </span><span>consistent use of with replacement.</span></p>
<p><br><span><strong>OR</strong></span></p>
<p><span>\(\frac{{98}}{{200}} \times \frac{{97}}{{199}} + \frac{{98}}{{200}} \times \frac{{102}}{{199}} + \frac{{102}}{{200}} \times \frac{{98}}{{199}} = 0.741{\text{ }}(74.1\% )\) <em><strong>(M1)(M1)(A1)</strong></em><strong>(ft)<em>(G2)</em></strong></span></p>
<p><br><span><strong>Note: <em>(M1)</em></strong> for adding three products of fractions (or equivalent), <em><strong>(M1)</strong></em> for using the correct fractions, <em><strong>(A1)</strong></em> for correct answer. Follow through for consistent use of with replacement.</span></p>
<p><span><em><strong>[6 marks]</strong></em><br></span></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The first part of the question was relatively well done. The null hypothesis and the degrees of freedom were well answered by the majority of the students. In the show that question some students used the GDC to find the expected values table and highlighted the correct value \(22.05\). This procedure gained no mark; the expected value formula was expected to be used here. Also those who did use the formula were expected to show the unrounded value \(22.05\) to gain full marks in this part question. Many lost the answer mark for not doing so. GDC was used by most of the students to find the chi-squared test though some students attempted to find this value by hand which made them waste time. Correct values were compared when deciding whether to accept or not the null hypothesis and follow through marks were awarded from their degrees of freedom and chi-squared test when incorrect.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The second part was not as successful as the first one. Simple probability was well answered. Not all the students changed the denominator to \(45\) for the second probability showing their weaknesses in conditional probability. It would have been useful for the students to use a tree diagram to help them solve the last part of this question but very few did so. Some of those students that reached the last part of the question forgot to add one of the three terms. Very few used the probability of the complement.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The first part of the question was relatively well done. The null hypothesis and the degrees of freedom were well answered by the majority of the students. In the show that question some students used the GDC to find the expected values table and highlighted the correct value \(22.05\). This procedure gained no mark; the expected value formula was expected to be used here. Also those who did use the formula were expected to show the unrounded value \(22.05\) to gain full marks in this part question. Many lost the answer mark for not doing so. GDC was used by most of the students to find the chi-squared test though some students attempted to find this value by hand which made them waste time. Correct values were compared when deciding whether to accept or not the null hypothesis and follow through marks were awarded from their degrees of freedom and chi-squared test when incorrect.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The second part was not as successful as the first one. Simple probability was well answered. Not all the students changed the denominator to \(45\) for the second probability showing their weaknesses in conditional probability. It would have been useful for the students to use a tree diagram to help them solve the last part of this question but very few did so. Some of those students that reached the last part of the question forgot to add one of the three terms. Very few used the probability of the complement.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The first part of the question was relatively well done. The null hypothesis and the degrees of freedom were well answered by the majority of the students. In the show that question some students used the GDC to find the expected values table and highlighted the correct value \(22.05\). This procedure gained no mark; the expected value formula was expected to be used here. Also those who did use the formula were expected to show the unrounded value \(22.05\) to gain full marks in this part question. Many lost the answer mark for not doing so. GDC was used by most of the students to find the chi-squared test though some students attempted to find this value by hand which made them waste time. Correct values were compared when deciding whether to accept or not the null hypothesis and follow through marks were awarded from their degrees of freedom and chi-squared test when incorrect.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The second part was not as successful as the first one. Simple probability was well answered. Not all the students changed the denominator to \(45\) for the second probability showing their weaknesses in conditional probability. It would have been useful for the students to use a tree diagram to help them solve the last part of this question but very few did so. Some of those students that reached the last part of the question forgot to add one of the three terms. Very few used the probability of the complement.</span></p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">The figure below shows the lengths in centimetres of fish found in the net of a small trawler.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img 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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the total number of fish in the net.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find (i) the modal length interval,</span></p>
<p><span>(ii) the interval containing the median length,</span></p>
<p><span>(iii) an estimate of the mean length.</span></p>
<div class="marks">[5]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>(i) Write down an estimate for the standard deviation of the lengths.</span></p>
<p><span>(ii) How many fish (if any) have length <strong>greater than</strong> three standard deviations <strong>above</strong> the mean?</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The fishing company must pay a fine if more than 10% of the catch have lengths less than 40cm.</span></p>
<p><span>Do a calculation to decide whether the company is fined.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>A sample of 15 of the fish was weighed. The weight, <em>W</em> was plotted against length, <em>L</em> as shown below.</span></p>
<p><span><img src="data:image/png;base64,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" alt></span></p>
<p><span>Exactly <strong>two</strong> of the following statements about the plot could be correct. Identify the two correct statements. </span></p>
<p><span><strong>Note:</strong> You do <strong>not</strong> need to enter data in a GDC <strong>or</strong> to calculate <em>r</em> exactly.</span></p>
<p><span>(i) The value of <em>r</em>, the correlation coefficient, is approximately 0.871.</span></p>
<p><span>(ii) There is an exact linear relation between <em>W</em> and <em>L</em>.</span></p>
<p><span>(iii) The line of regression of <em>W</em> on <em>L</em> has equation <em>W</em> = 0.012<em>L</em> + 0.008 .</span></p>
<p><span>(iv) There is negative correlation between the length and weight.</span></p>
<p><span>(v) The value of <em>r</em>, the correlation coefficient, is approximately 0.998.</span></p>
<p><span>(vi) The line of regression of <em>W</em> on <em>L</em> has equation <em>W</em> = 63.5<em>L</em> + 16.5.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>Total = 2 + 3 + 5 + 7 + 11 + 5 + 6 + 9 + 2 + 1 <em><strong>(M1)</strong></em></span></p>
<p><span><em><strong>(M1)</strong> is for a sum of frequencies.</em></span></p>
<p><span>= 51 <em><strong>(A1)(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>Unit penalty <strong>(UP)</strong> is applicable where indicated in the left hand column.</em></span></p>
<p><span>(i) modal interval is 60 – 70</span></p>
<p><span><em>Award <strong>(A0)</strong> for 65 <strong>(A1)</strong><br></em></span></p>
<p><span><br>(ii) median is length of fish no. 26, </span><span><em><strong>(M1)(A1)</strong></em></span></p>
<p><span>also 60 – 70 <em><strong>(G2)</strong></em><br></span></p>
<p><span><em>Can award <strong>(A1)</strong></em><strong>(ft)</strong><em> or <strong>(G2)</strong></em><strong>(ft)</strong><em> for 65 if <strong>(A0)</strong> was awarded </em><em>for 65 in part (i).</em></span></p>
<p><span><br>(iii) mean is \(\frac{{2 \times 25 + 3 \times 35 + 5 \times 45 + 7 \times 55 + ...}}{{51}}\) <em><strong>(M1)</strong></em><br></span></p>
<p><span><em><strong>(UP)</strong></em> = 69.5 cm (3sf) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G1)</strong></em><br></span></p>
<p><span><em>Note: <strong>(M1)</strong> is for a sum of (frequencies multiplied by midpoint values) divided by candidate’s answer from part (a). Accept mid-points 25.5, 35.5 etc or 24.5, 34.5 etc, leading to answers 70.0 or 69.0 (3sf) respectively. Answers of 69.0, 69.5 or 70.0 (3sf) with no working can be awarded <strong>(G1).</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span><em><strong>[5 marks]<br></strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>Unit penalty <strong>(UP)</strong> is applicable where indicated in the left hand column.</em></span></p>
<p><span><em><strong>(UP)</strong></em> (i) standard deviation is 21.8 cm <em><strong>(G1)</strong></em></span></p>
<p><em><span>For any other answer without working, award <strong>(G0).</strong> If working is present then <strong>(G0)(AP)</strong> is possible.</span></em></p>
<p><br><span>(ii) </span><span>\(69.5 + 3 \times 21.8 = 134.9 > 120\)</span> <em><strong><span>(M1)</span></strong></em></p>
<p><span>no fish <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G1)</strong></em></span></p>
<p><em><span>For ‘no fish’ without working, award <strong>(G1)</strong> regardless of answer to (c)(i). Follow through from (c)(i) only if method is shown.</span></em></p>
<p><em><span> </span></em></p>
<p><em><span><strong>[3 marks]</strong><br></span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>5 fish are less than 40 cm in length, <em><strong>(M1)</strong></em></span></p>
<p><span><em>Award <strong>(M1)</strong> for any of</em> \(\frac{5}{51}\)<em>,</em> \(\frac{46}{51}\)<em>, 0.098 or 9.8%, 0.902, 90.2% or 5.1 seen.</em></span></p>
<p><span>hence no fine. <em><strong>(A1)</strong></em><strong>(ft)</strong><br></span></p>
<p><span><em>Note: There is no G mark here and <strong>(M0)(A1)</strong> is never allowed.</em></span><em> <span>The follow-through is from answer in part (a).</span></em></p>
<p><em><span><strong>[2 marks]</strong><br></span></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) and (iii) are correct. <strong><em>(A1)(A1)</em></strong></span></p>
<p><span><strong><em>[2 marks]<br></em></strong></span></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">a) b), c) There was much confusion about how to present the intervals. Often the mid-point only was seen. (eg. 65 instead of 60-70). Understanding of mode, median and mean was usually good but too many candidates wasted time calculating standard deviation by hand and got it wrong. In c(ii) 'greater than three' caused no problems but 'above the mean' was often ignored.</span></p>
<p> </p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">a) b), c) There was much confusion about how to present the intervals. Often the mid-point only was seen. (eg. 65 instead of 60-70). Understanding of mode, median and mean was usually good but too many candidates wasted time calculating standard deviation by hand and got it wrong. In c(ii) 'greater than three' caused no problems but 'above the mean' was often ignored.</span></p>
<p> </p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">a) b), c) There was much confusion about how to present the intervals. Often the mid-point only was seen. (eg. 65 instead of 60-70). Understanding of mode, median and mean was usually good but too many candidates wasted time calculating standard deviation by hand and got it wrong. In c(ii) 'greater than three' caused no problems but 'above the mean' was often ignored.</span></p>
<p> </p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">d) This was often well done, even if earlier parts were poorly done.</span></p>
<p> </p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">e) Rather mixed performance here. It was hard to identify any consistency in the errors made.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">Too much time was spent on this question. It was only worth two marks and candidates ought to have realised that it relied on a general pictorial understanding of the concepts, possibly supplemented by a little elementary arithmetic only, to compare (iii) and (vi). With good understanding, many of the options could be ruled out in a few seconds.</span></p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>On one day 180 flights arrived at a particular airport. The distance travelled and the arrival status for each incoming flight was recorded. The flight was then classified as on time, slightly delayed, or heavily delayed.</p>
<p>The results are shown in the following table.</p>
<p><img 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"></p>
<p>A <em>χ</em><sup>2</sup> test is carried out at the 10 % significance level to determine whether the arrival status of incoming flights is independent of the distance travelled.</p>
</div>
<div class="specification">
<p>The critical value for this test is 7.779.</p>
</div>
<div class="specification">
<p>A flight is chosen at random from the 180 recorded flights.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the alternative hypothesis.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the expected frequency of flights travelling at most 500 km and arriving slightly delayed.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the number of degrees of freedom.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the <em>χ</em><sup>2</sup> statistic.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the associated <em>p</em>-value.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, with a reason, whether you would reject the null hypothesis.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the probability that this flight arrived on time.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Given that this flight was not heavily delayed, find the probability that it travelled between 500 km and 5000 km.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Two flights are chosen at random from those which were slightly delayed.</p>
<p>Find the probability that each of these flights travelled at least 5000 km.</p>
<div class="marks">[3]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>The arrival status is dependent on the distance travelled by the incoming flight <em><strong>(A1)</strong></em></p>
<p><strong>Note:</strong> Accept “associated” or “not independent”.</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{60 \times 45}}{{180}}\) <strong>OR </strong>\(\frac{{60}}{{180}} \times \frac{{45}}{{180}} \times 180\) <em><strong>(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct substitution into expected value formula.</p>
<p>= 15 <em><strong> (A1) (G2)</strong></em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>4 <em><strong>(A1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(A0)</strong></em> if “2 + 2 = 4” is seen.</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>9.55 (9.54671…) <em><strong>(G2)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(G1)</strong></em> for an answer of 9.54.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>0.0488 (0.0487961…) <em><strong>(G1)</strong></em></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Reject the Null Hypothesis <em><strong>(A1)</strong></em><strong>(ft)</strong></p>
<p><strong>Note:</strong> Follow through from their hypothesis in part (a).</p>
<p>9.55 (9.54671…) > 7.779 <em><strong>(R1)</strong></em><strong>(ft)</strong></p>
<p><strong>OR </strong></p>
<p>0.0488 (0.0487961…) < 0.1 <em><strong>(R1)</strong></em><strong>(ft)</strong></p>
<p><strong>Note:</strong> Do not award <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(R0)</strong></em><strong>(ft)</strong>. Follow through from part (d). Award <em><strong>(R1)</strong></em><strong>(ft)</strong> for a correct comparison, <em><strong>(A1)</strong></em><strong>(ft)</strong> for a consistent conclusion with the answers to parts (a) and (d). Award <em><strong>(R1)</strong></em><strong>(ft)</strong> for <em>χ</em><sup>2</sup><em><sub>calc</sub></em> > <em>χ</em><sup>2</sup><em><sub>crit </sub></em>, provided the calculated value is explicitly seen in part (d)(i).</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{52}}{{180}}\,\,\left( {0.289,\,\,\frac{{13}}{{45}},\,\,28.9\,{\text{% }}} \right)\) <em><strong>(A1)(A1) (G2)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for correct numerator, <em><strong>(A1)</strong></em> for correct denominator.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{35}}{{97}}\,\,\left( {0.361,\,\,36.1\,{\text{% }}} \right)\) <em><strong>(A1)(A1) (G2)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for correct numerator, <em><strong>(A1)</strong></em> for correct denominator.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{14}}{{45}} \times \frac{{13}}{{44}}\) <em><strong>(A1)(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for two correct fractions and <em><strong>(M1)</strong></em> for multiplying their two fractions.</p>
<p>\( = \frac{{182}}{{1980}}\,\,\left( {0.0919,\,\,\frac{{91}}{{990}},\,0.091919 \ldots ,\,9.19\,{\text{% }}} \right)\) <em><strong>(A1) (G2)</strong></em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">A random sample of 167 people who own mobile phones was used to collect data on the amount of time they spent per day using their phones. The results are displayed in the table below.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">Manuel conducts a survey on a random sample of 751 people to see which television programme type they watch most from the following: Drama, Comedy, Film, News. The results are as follows.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img 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Kg8HDb31/kIIe4x0v9azbznNtoZIP8ewzFe7U0S5iKnqPtM2DmK6F0OW6i/EySYuMe7qp8MsaL+QiC6zoR48+lQ3l/q9iTsoGfbos5OwmRBdgrNywllGMBWseviFMlScticEOKg7a6gUVJywYe0tKMT1puhxfyoeTuo4z1Dg60rFLsfPh1OPi+EgNxpr+pn9+WDBAHn42jCWiq2tAeJLZVGPNqahcO5M6W6auAlvk7DBsXmYGpj4hia8qDqP2RtpiubkTXvYGl/uXk7ptatxRbv6Q0BtvX9d+zWBNtH/e4TlJwiLQJCdznXGNGMv1Br8ao4XX8hEVpnH3wyalfYEiy2j/ptLw1wbuvvDtgN7tye7nR+Ggv+wC9KFmSnO2WatxovjiJPCYSHtFwR+GTU3vCmi3MbPa2zJANCaA7mPmvZ2D4cyAoS+FmNq5h3JK3MizDMrX31gN6Vx/K8JNXENDMrXyg2e2PDQt0yS+oLPyWU+bGXNRDdKuYco/13I+rH4alw9MJcY7dVZBmDjqnWq/JwX7eMYB9LWR5/CS7eG+v9zWnF9vDTx6G02VF/8f3V3+Hm7Y3x93qVfqjeuZsQqoo+kSf2t2jWA/t2rwXfFCt2l6sU4iLTJrRUfyERV+cYwTbO8PNovd69PCVFPMSW3Rtmq/IwWVIag8wnPBtYPASW2jHUNhsuFnKiafYl+9WbLD2WA04V+96B2ucD6LwWQHZugNQcAPMGAqD2+QA6rwWQnRsgNQfAvIEAqH0+gM5rAWTnBkjNATBvIABqnw+g81oA2bkBUnMAzBsIgNrnA+i8FkB2boDUHEg2byhQoECBAgWK4AXMGwoUKFCgQMlYiZv3GkIAgABA7fMBdF4LIDs3QGoOgHkDAVD7fACd1wLIzg2QmgNg3kAA1D4fQOe1ALJzA6TmAJg3EAC1zwfQeS2A7NwAqTkA5g0EQO3zAXReCyA7N0BqDnA3b9dEb5TWja6wx2JekLmt/zKUN0U+BmN1oMvxAXReCyA7N0BqDqxi3uFTxdIOkfWP3lp+FKN3qljxSswbu+b7XoMeNpV00k7kuLNrOf4Wm/QEM6HPsFod0bscto/63iFXmpF4mBW29YM3Sqt4VW3sWhBd54DIiYKJXTv1xF7xyI7sc1t/91ZploNTHMPnMS6rDkEQXmrHRPtvleYtOXZcd5Z0Xnnmzc5kLCWfI8tscpU+HD3P+yvA1rtBnx4hSg/Li11b9KTIa6sAbKp1MG8ezH7X3hzRU3inL1rFxePV6c/h6NWrI3ISa1IjZy8A87466B1q7EjK2LHLwk8YxJb6zFTb/9m4F7o38siUzquHzU+RvNVq3CkUH42s2Pnkc0uTW417Za7mffZ58tEKPmPhY91pT3rCYe4F5s0H/PlwEjS8UyRvRDsedvVBrdgciH7SMSFi6xwCu/qgHp+ahJnpyqP/ke+v1vHXTxZkn+nKZrnx4sgOj7HYQc+foNBoR06R/FBkzTMgNTaGUik2hmRL5wuZ98N/jfceFBeMyp32GoMPmszXvGNgB3XLwcfScF+pJr8cJZ9sf3V/GMybP9gYSvd6+iz4iTvtVTceaCeZqIWM6ExDiFJH1ZIiGdjVn7eUjxbqgnlfEfQGNGF2ZJsn4UEMm2pd1FguRXipE807YzpfzLyH5hckb0Std25p8o/an3/H+jC29VdyjUYeqt1R0PkXp8jmB4UuZFZaynsvUoRdU+tUS4Vis6f9Opl+Oi8Mih3UvdXW2F0TNoZSyY971GQtCEDF35d4ndg1J2+V9l31k0MvI1dpqcfu4ruK7X+9ebbMvF0Tqezzy43BB9MhwUp5vuDFbRbWzh1zPGgVI+/yc/0+GL8OGpVyY9dI+1KXJQNdjmDXREP54XbkBvnMVLcKVXlIV7sjDUlEsqBzpJUmJBm4017jue7+44B5XxXYGEo3a/JLutpdKDZ748SJx5mptgW/TxVdapJo3jFE1/mi5n0Wn2hiY9he7MNnprpVplbqHg8bldCSc9S83elA3mExIvd42KgwNbEx3HzM7kDxycGrw/PM+xTJzchUjBCCbX3/ZadaSl2qT7tOtvJRqrWf7U5tzObx3rfDFupu1rpjGxOCrUm//UOaeeOTUfsOc33XGMlSodgeGo73q0q46WDzl112/TO9/8QL/zqG2i4Xu8j5t5fr1xxMLUcf1KoD/bszbz+dJHpDxka9Pd2eE4JdY3chAUIshNc5ANv6Abv73Az1r5muPO7pMxLrGmIjuOzYVOtB4q1jqO1yRHP/dcZwk8eC4NcguNSErGDewut8YfNmAyhzDuygJ3dVI25v1BSZLmemupVi3tFcVlqKXeRgbKr1YrOn6astYNIIXspgjS3UlVIC9enX6aBOaIEAm2o9RzOkaGgr+LT0sHkskk9Du35zwQ7qlgMDnumvfgn96VjSBP3TpwthjysmA12OBGGPsh9ocVAnkr9G9z6I6yjZ0DkEtsfboabr6jvbbEYC5n1VLAwXNHy4ELbFpnp32XxRCMSWmhByvnmLr/MlzBu7+qBG7SS4N0nsw8GGhxTzPkXy7fQ5a6WQy5cbyttzF63d6UDeWxZDjg/uMZKuM9W8T5G8Ee5R6eYdf2XcfbExlNgyLbbe707o5WEHdcvJCy1g3j6R+E2odhiLPxGK7OjsE7IWdzro7nuLFmDeV8ViMlBietCZqT4UtmH7iC01IeRc886Azpcwb89ZpZdHYzrtJot9GNuHg8adlvLzgf6nkTrzXrS3EEHQOzTHSnjZyUH/9Tmrv9gYSvcTx5fU67wq8470vdhPqBSPRpaFus+iqXaJoyGYdwA21bovRbSy2G8FdpQM6ezjJe8kRcvE3g7rI7bsix0/FrOkrxI9lksRW2pCyHnmnQWdL2Xefrg7nt3trwobQ+mmN5ieGzYveauVhBDs/varHpEsbVMvfbmF+jvI31bhHu+qSavjDtruJlXSkutMNe/Y7TD7Cqlh88iqVXyDE7a0B8VSrXE/siGHhs2r8q6/aOAeI/0vMO8Q0fxEKmzw3yXRCyHIjs4+2EHPthP6IMy8rw4HdYqVUIZUQmBS/FguRXSpyTnmnQmdVzZvfDJqt0PJ5MZQuhnKCYr2YQd1vIwhbE93ZalQ7H74dDj5fLaYsNarlkL3716ekfNxxMLI6Y9woilgSRvqsa0f7DPrw/bhQFaQPY+/ffl1ppo3vZ4824vpfhopD2tpe/lpEhxLYseusdu6EdsHQjOwYrcmM13ZjHwvtjT+PZv33NIelb0bGmyPt6WHLPWPEMIqhe0IwPbhoHE/IdNHGATW2Wdu6+8OWB+a29Odzk/jpAQUMO8rZG5pj8osp3VuT1+0pFhSagZiuRThpV5u3tnQeRXzjgTKvG87t/bVA+pDsQQrSTXx3EZPa2y3g2GhbpltNQk/fI51eOaasa1izjHafzeiaa7hOWhwUeFnP+UXPnO8Te8JYg8qipN8nU5kK9f4S/D1qUMHj2UtN3Y/6S/rVXm4n5JbF2yEK9VkdWG/bMocMbSBjW0VCza/bdSqzWsaKwXucjSHPO+1E02P342FnpWb2GBEQmCdfbyucU7eCZj31eLvEQ3HIz3Y1h6RmzZDbKljSz8LrTcjOq8eNge+faD2+QA6rwWQnRsgNQfAvIEAqH0+gM5rAWTnBkjNATBvIABqnw+g81oA2bkBUnMAzBsIgNrnA+i8FkB2boDUHADzBgKg9vkAOq8FkJ0bIDUHks0bChQoUKBAgSJ4AfOGAgUKFChQMlbi5r2GEAAgAFD7fACd1wLIzg2QmgNg3kAA1D4fQOe1ALJzA6TmAJg3EAC1zwfQeS2A7NwAqTkA5g0EQO3zAXReCyA7N0BqDoB5AwFQ+3wAndcCyM4NkJoD4pu3Y6LXvYYkyhkv7JTx5NPBs454tf9tAjqvBZCdGyA1B1Yx79gZLOGSeI71FeL/6ZTzvHlzZqpbhVw+4SCaC+MfH5R4ClZUc15HU4vd5ULnhuWkzqtpRLLI6W0LxzEJhtg6h0lth8FhgMVmb5x25phYZED2oBl7xwkyljZ+8RBeasdE+2+V5q3EI0Ej52SKe2Le6jPvxcOk5zZ6Wr/+E8vDZ2kLAPXvr6zRubX/YkCHPGwf9Zvl3Gbk/OnIgafXfYcUIHKXw9a7QZ+eGDu3py9a3kHshBCCTw76O3Skw/bhoFHxTkAXFJF1jpDWDt1pT2oPpjZmR7VWHmgn4srtIbrs+GTUrpQbuwZt5OhpzRtvlzV+IRFb6jNTbf9n4145OOE6zNzSHvGfOF2CrzFvQrCx25+AeV8Y/Odk8iXQMX4sPHb1AYe7okUE7nJnnycfrUCyM1Pd8lsj/nw4sYKptmANJgGBdQ6T1g7PTHUr1FznlvaoHBsZhERw2ePtFhtD6XYHnS5v/GIiuNSELI66Hu60Jz0RWVufy5s3/vzb71y+oWBj8ZXMvGOcInkj1IxOkbxRyEkdVUMmVwfPQJdjYAd1Uw3DQZ2iOA0mgYzonNIOsTGUboajQYL10FREl91BnfCU2kGdG4ktfGnjFwPRpSZp5k3XiUo1+eUIib4YdGnznun9F6HWE1qSCdbAsGtO6LrC3zSYmSvVumMbz219r1MtFXKVlnrsCeT/MF/ISR3N8IVbGBqC1eLQshB2Ta1TLRWKzZ7262T6KW562BhKpSAM4q1qsMpzTfRGaW2qpmOMZKmQy3vBK+/d3gpfufHirXIvZN6JX9xLshv/cdRvlovtobHcg0+RLPmBR2yq9SCrICLFdZOBLsfADureamtW4vDloM6NRyNL3GXvTOic2g4d1ClGl3IWfyIkwss+05VNNipiC/3UHSQvbS9t/GIgvNQp5u3bBMue0cyMrL6tYN7hbLXAyLGr73T6hzYmhK2BbXTQaWCQDWWk25hgVx/UcpWW8hqZDlvU8VwQm2q9SAdcx1Db5dDUNmreM73/xGvTjqG22R0oNoabj9l4jU8OXh0mueUpkjeCNYyg8ryvVn3Ye/XRxvHBCNvj7ermNrIwIdieDBq3PfNO/OL/9nJ8Kq3+oe1Me9V7kfXsRRzUkeJrtNjWD1S5lssXYsvh10kGuhzjFMnNFFmwg57UYUXwikhoh3SAC68FCh/qoGRAdpYBszxPaknjF4UsSJ0SNif+lqJSISd0bsGlZ96O8Wpvwv694Ov+jDYmUMwUQ66MTbXuL2Gaaj3NvCN5gLRsdNApNtV6sdnT4knbCV8hwbyX/2qmK5uhOg6HzdO+OI29rDiczXTlcVpXxPZ4u5rSwq6BDHQ5QgjBrv68ldap3Gmv8VzkbDWSGZ0Dou2QNm8vbIZt/ZVcEzgp1ycLsjum9ryn/Hctly9Un6KETRNLG78wZEDqJebNXmChriRybsFVrHk7qFNM6bormzd7ua0fvFFaxciNZ+hl2EHdcmL6n5cWW24ob1PXKi5l3vGQYMi8U7/46uaNXX2nE6wdJLyA5/pWBrocIcSdDuQ9I9meZ3r/6XmLFOsnGzpHiLVDf+mq0lL2hrIkclKuj/CyO4b6+EftBHt3SwmbJpY1foEQXuoVzJuIHlL6umxzypIVr9XNG9tH/eathvJ2X7eMtJk3NcW0GwU/1pEvJy8IXYd5J37xVc0bW+8Gr5Y4t/f1YZ+3Dz456L9OGbzm1v7OrvDOTTKh8wKp7TBIihYdwWWPRRyJO+1VI4mBSxu/WAguNSGrmTc2hpK4z+O6CvP2s1KDRwfMfkd/XCRsfmaqW753nh82Dz/VxD1G+l+hi6H7IBON81LmHa9j+mXDYfPFL76SeWMbDfrIeyN2jTfDyeLrsYOebfMaGUXvcthC/Z0gluge76p+csPcRjsD5N+zhZd1hEN0nRNIaYfYQt1NkdcFw4gt++LM5BTJtwPzXtb4hUNsqQkhq868t7tr2LK7Ildi3jQTLbz0G8ltWcG8T5G8wWJEbAltozPWJ5M/8WLCmrIZWWam73I+jjznw5b2IDmaTfdHPhpZ8/A0vSCpJl7i63TPfqXVP7Qxdo39XvtOgcLA6xgAAAqOSURBVGWU/L+UL36ueXu58ZH30mue2/q7A3ZrMrenO52fxtyepiR0l3PZRoBQ8duSY2rdaEVk5ukKonJuO6RbKu60WMJmBhBddnfaq5a8fS7YNXZb/qaJZY1fRESXmiSbN7b1g33W6LF9OJCVpLQDUVjFvOOPR018Kk2w0cvbMRXZaiKphhH8tyyPv4Q+syyjGV3jyVVaynvTGneKNE3/n9Cf9horc/foVjHnGO2/G9G02ISnjXq4x0O6Y03WTOfTUNrsqL/o//dHsD2g2EVfxkFOHDOA0AqfOtXV+zX5ZTCuxb+4/wjV0g/VO3eTOhi2tAfxtDv/b9Ek/Px56/fXgrhdLvKor/jtTuSJSDC0XQ1L2iENOJVqssr5OQRfifiyBw+dDQ9uyxq/oIgtdczRQlFeZkP5QrHZezMReZ8YycLBJAA/oPb5ADqvBZCdGyA1B8C8gQCofT6AzmsBZOcGSM0BMG8gAGqfD6DzWgDZuQFScwDMGwiA2ucD6LwWQHZugNQcAPMGAqD2+QA6rwWQnRsgNQeSzRsKFChQoECBIngB84YCBQoUKFAyVuLmvYYQACAAUPt8AJ3XAsjODZCaA2DeQADUPh9A57UAsnMDpOYAmDcQALXPB9B5LYDs3ACpOQDmDQRA7fMBdF4LIDs3QGoOgHkDAVD7fACd1wLIzg2QmgPimzc9vEjKxIHBq4Bt/UCVa0KeeSVe7X+bgM5rAWTnBkjNgVXMO36qWKhc99lN/p8+52zsVXHND0qznMsXcqWavKfHj3ujxyVd51fDBjvBDMz78sxt/d1bpVlOOeDO0h6VhZTXJyM6E2wfDhqVQi5fqHZH0QPEgvOvvFMExScDsmP7qE8HKKmjGRFVg7ErdOCYqGRAakLIsvOjlw8yQrD6zHvxPO+5jZ7Wr/+LRc/z/poPOjno79BGz0Yleha4//vISZ3XduIe9W8h3SUDXY6ObukH9rFKFFJenwzoTAhx/xi9+mhjX/NQ33enPak9mNqYHjtdrDzQTgTWmyG87LPftTdH9pyQuT190SqGBj18MmpXvKO+5zZ6WosMxcIhvNSEEP+s1YWh/rxBRhC+xrwJwcZuf5IV88afDydWMNVe+NiZrjR5BOfBvC/PTFc2y40XR/GQiYc77TUedxoVMeX1EV5nQsjZ58lHy9fQQZ3AS85MdSs0HZlb2qOy2F5CEVz26AB1iuQNX+T4YIWNoXRb5JVEwaUmhBAy05VH/yPfL8fN+7xBRhgub97482+/c+muVzbzjhEZj+h/84WqPNSu+W4LzPuSYFcf1IqPRlZap5rpyuOebiJ5Q0x5fcTWOQFsqnU/TIWNoXQzvKh0XT30qsmS7NgYSvd6+oz910GdYqmmTF3/vzeEvlsSXmrs6s9bykcLdaPmfe4gIxCXNu+Z3n8Raj3YNd/36PJYsAaGXXPyVmnektHfbPGsVOuObTy39b1OtVTIVVrqsbeu4/8wvt6zMDQ45njQKsbWfrBrap1qqVBs9rRfJ9NP58cDHNS54VfSmaluBWv5Cyt8IVKu0zXRG6W1qZqOMZKlQi7vxbhi76q0Xu71lpi3ayJVrsVWtvyV8lyeVUF87TxREy/Xb/zHUb9ZLraHxjmqCN3lsDGUbtbkl3QhamGplfbGqUsbKpj3leGYSO00/hf5ExEHdYrRjJDFnwhJRmTHromG8sNtZIX0nOnKJhswsYV+6g6mtshqiy61O+01nuvuP07MvM8ZZMTiguYdzlYLjBy7+k6nf2hjQtga2EYHnbK5bC5fbigj3cb0piZXaSmvkemwlRtPOGyqdXa/4xhqOyxo1Lxnev+J13AdQ22XfTPbfMycGJ8cvDo8z7yxg57U/TtZxtzWfxnSNJzocnjwtuTr9MSpPuzRZcLIcDa30dNa9Smiq1mT563bKeaNT0btO+yGxjVGslQIHHchOInN0SvdTdXkHy/Xr9LqH9rOtFcN3cinIHKXw6Zaz0mdV/R7UvE3g2/EeiMmYN5XiNeFI/epi6GjWBBLVLIguz/MlmqyFgkBBrls15aOc3WILTUN0c28hOiY16QPMoJx6Zm3Y7zam7B/L/i6n6GHjaFUCpbHonfoYVfGplr3Phybaj3NvIPRxC8bHXSKTbVebPY0fdXb0WCsX4TeVSQPRunXGfWM8Bd3p73q7eh6VaJ5Ywd142lB1Zh6fkvCrv5mRP90iiZe07zAqCpwl1sQJyLjTO8/84IoYN5XjJdY7mel0Xblhc2wrb+Sa+AoVwiTNF9ua6HZt2Nqz3vKf9dy+QKbCYiLwFJjV9/ZjrRkv+kuH2SE4yrWvB3USc62v4B5s5fb+sEbpVWM3F2GXoYd1E3eBcTyBvPlhvIWnRvomOn9p0tjyJFskYSvlXCdaeYdv7lLbxCLrhPT/MxUt1h/DqIL6Zp8U+Z9Zqpb0XxJ/yf/hHojAfO+FmIdOVimqbSUvaEsCS44JVOyxxq8Y6iPf9ROMCHYHm9XS2mhQUEQV2p3Oujue7dEscF5ySAjotRfl21OWbLitbp5Y/uo37zVUN7u65aRNvNeMMLI37L1/Zd0NTp6xxpjbu3v7J6z+ntmqvdTvlHadV6ReUcUXrhhMtV6rvJA+/Nv9GybWfISTb4l8178mmemulWQVBMnBH4KPB5CcHkE1jmNWIZ5COEzn32yJfuSYCRxp73qTWGbNxFX6vRnlkiqiZcMMuu86DSuwrxZ2NxfKiCEzH5Hf1wkbB7R6PyweVXe9QPk7jHS/wpdzMIWyQhzG+0MgkyQcPA/+o26z5K+6ZLrTA2bxwMM9Cukhc0jSywLAQAaYKjeb0lPgstL1eRbMm/6NcP7iU+RfDtp/IKZ93VwimQpYTM3tlB3sxbPHRGUTMmOHdS9xSYhi6aS1vhFISNSLwi76iAjBFdi3jQTLXwj4znQquZ9iuQNFghi6z0bnbE+mfyJFxPWlM3IHRN9l/NxNGEWlf7QHMfUurWEGy46a3/HHriG7aN+9wlKnLovuc70NW/quMXmYGpj4hia8qCa8pA193jYqHi57tg1dls3YpsW2J1jdA6Uosk3Zt4sZY9m8M3t6YuWlBg5BPO+CvDJqL3hPYVwbqOn9cjuCeLtZbjTYpmqGUBs2eeW9qjs3YJje7wtPQyW9mj6C6uCxJFBLMSW2mfxrmjFQUYIVjHveKgh8ZmUwQYqL70em2o95JGGEfy3LI+/hD6zLKMZXcjJVVrKe9Mad4o02fKf0J/2XN/L5iiEt0U5x2j/3YhusgrPQUNXaGmPFgIm/mdaqCsVaG42S4ZPBidep/MpspXryzjIIKMu4j/asNgefvo4lDY76i8LD2clhMQe4KomXElihkGCJv7mt9IP1Tt3V7t5FL7L+UutiU+3pYB5Xwk01TbPenQkFZRG2lLap8CILTvdp5P3RiEt1ryD59HC41GvjMQ1x1UGGSFYfeYNfPtA7fMBdF4LIDs3QGoOgHkDAVD7fACd1wLIzg2QmgNg3kAA1D4fQOe1ALJzA6TmAJg3EAC1zwfQeS2A7NwAqTkA5g0EQO3zAXReCyA7N0BqDiSbNxQoUKBAgQJF8ALmDQUKFChQoGSsBOYNAAAAAECGAPMGAAAAgIzx/wHxrTjx/zk6pgAAAABJRU5ErkJggg==" alt></span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">Manuel decides to ignore the ages and to test at the 5 % level of significance whether the most watched programme type is independent of <strong>gender.</strong></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State the modal group.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to calculate approximate values of the mean and standard deviation of the time spent per day on these mobile phones.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>On graph paper, draw a fully labelled histogram to represent the data.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a table with 2 rows and 4 columns of data so that Manuel can perform a chi-squared test.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State Manuel’s null hypothesis and alternative hypothesis.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the expected frequency for the number of females who had ‘Comedy’ as their most-watched programme type. Give your answer to the nearest whole number.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">ii.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Using your graphic display calculator, or otherwise, find the chi-squared statistic for Manuel’s data.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">ii.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>(i) State the number of degrees of freedom available for this calculation.</span></p>
<p><span>(ii) State his conclusion.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">ii.e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>\(45 \leqslant t < 60\) <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>Unit penalty <strong>(UP)</strong> is applicable in question part (i)(b) <strong>only</strong>.</em><br></span></p>
<p><span><em><strong>(UP)</strong></em> 42.4 minutes <em><strong>(G2)</strong></em></span></p>
<p><span>21.6 minutes <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[3 marks]<br></strong></em></span></p>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" alt> <span><em><strong>(A4)</strong></em></span></p>
<p><span><em><strong>[4 marks]<br></strong></em></span></p>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><img src="data:image/png;base64,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" alt><span> <em><strong>(M1)(M1)(A1)</strong></em></span></span></p>
<p><span><span><em><strong>[3 marks]<br></strong></em></span></span></p>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>H<sub>0</sub>: favourite TV programme is independent of gender or no association between favourite TV programme and gender</span></p>
<p><span>H<sub>1</sub>: favourite TV programme is dependent on gender<em> (must have both)</em> <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{365 \times 217}}{{751}}\) <em><strong>(M1)</strong></em></span></p>
<p><span>\(= 105\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">ii.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>12.6 <em>(accept</em> 12.558<em>)</em> <em><strong>(G3)</strong></em></span></p>
<p><span><em><strong>[3 marks]<br></strong></em></span></p>
<div class="question_part_label">ii.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) 3 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span>(ii) reject H<sub>0</sub> <em>or equivalent statement (e.g. accept H<sub>1</sub>) <strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong> </strong></span></p>
<p><span><strong><em>[3 marks]</em><br></strong></span></p>
<div class="question_part_label">ii.e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Many candidates who had survived the previous two unit penalties, fell here with omission of units for the mean and standard deviation. The modal group was answered well. Part (b), finding the mean and standard deviation by GDC, was answered very poorly. Most did put the midpoints in one list and the frequencies in a second list but then either used the 2-Var stats button or 1-var stats button but only named L1 instead of L1, L2. Candidates who showed midpoints in their working did at least score a method mark.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"> </span></p>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Many candidates who had survived the previous two unit penalties, fell here with omission of units for the mean and standard deviation. The modal group was answered well. Part (b), finding the mean and standard deviation by GDC, was answered very poorly. Most did put the midpoints in one list and the frequencies in a second list but then either used the 2-Var stats button or 1-var stats button but only named L1 instead of L1, L2. Candidates who showed midpoints in their working did at least score a method mark.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"> </span></p>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Many candidates who had survived the previous two unit penalties, fell here with omission of units for the mean and standard deviation. The modal group was answered well. Part (b), finding the mean and standard deviation by GDC, was answered very poorly. Most did put the midpoints in one list and the frequencies in a second list but then either used the 2-Var stats button or 1-var stats button but only named L1 instead of L1, L2. Candidates who showed midpoints in their working did at least score a method mark.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"> </span></p>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The chi-squared question was answered well by the majority of candidates and almost all found the chi-squared statistic correctly by GDC, though many could not look up the correct critical value.</span></p>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The chi-squared question was answered well by the majority of candidates and almost all found the chi-squared statistic correctly by GDC, though many could not look up the correct critical value.</span></p>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The chi-squared question was answered well by the majority of candidates and almost all found the chi-squared statistic correctly by GDC, though many could not look up the correct critical value.</span></p>
<div class="question_part_label">ii.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The chi-squared question was answered well by the majority of candidates and almost all found the chi-squared statistic correctly by GDC, though many could not look up the correct critical value.</span></p>
<div class="question_part_label">ii.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">The chi-squared question was answered well by the majority of candidates and almost all found the chi-squared statistic correctly by GDC, though many could not look up the correct critical value.</span></p>
<div class="question_part_label">ii.e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">Francesca is a chef in a restaurant. She cooks eight chickens and records their masses and cooking times. The mass <em>m</em> of each chicken, in kg, and its cooking time <em>t</em>, in minutes, are shown in the following table.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a scatter diagram to show the relationship between the mass of a chicken and its cooking time. Use 2 cm to represent 0.5 kg on the horizontal axis and 1 cm to represent 10 minutes on the vertical axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down for this set of data</span></p>
<p><span>(i) the mean mass, \(\bar m\) ;</span></p>
<p><span>(ii) the mean cooking time, </span><span><span>\(\bar t\)</span> .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Label the point \({\text{M}}(\bar m,\bar t)\) on the scatter diagram.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the line of best fit on the scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Using your line of best fit, estimate the cooking time, in minutes, for a 1.7 kg chicken.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the Pearson’s product–moment correlation coefficient, <em>r</em> .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Using your value for <em>r</em> , comment on the correlation.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The cooking time of an additional 2.0 kg chicken is recorded. If the mass and cooking time of this chicken is included in the data, the correlation is weak.</span></p>
<p><span>(i) Explain how the cooking time of this additional chicken might differ from that of the other eight chickens.</span></p>
<p><span>(ii) Explain how a new line of best fit might differ from that drawn in part (d).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img src="data:image/png;base64,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" alt></span></p>
<p><em><span><strong>(A1)</strong> for correct scales and labels (mass or m on the horizontals axis, time or t on the vertical axis)</span></em></p>
<p><em><span><strong>(A3)</strong> for 7 or 8 correctly placed data points</span></em></p>
<p><em><span><strong>(A2)</strong> for 5 or 6 correctly placed data points</span></em></p>
<p><span><em><strong>(A1)</strong> for 3 or 4 correctly placed data points, <strong>(A0)</strong> otherwise. </em> <em><strong>(A4)</strong></em></span></p>
<p><br><span><strong>Note:</strong> If axes reversed award at most <em><strong>(A0)(A3)</strong></em><strong>(ft)</strong>. If graph paper not used, award at most <em><strong>(A1)(A0)</strong></em>.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) 1.91 (kg) (1.9125 kg) <em><strong>(G1)</strong></em></span></p>
<p><span>(ii) 83 (minutes) <em><strong>(G1)</strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Their mean point labelled. <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Follow through from part (b). Accept any clear indication of the mean point. For example: circle around point, (<em>m</em>, <em>t</em>), M , etc.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Line of best fit drawn on scatter diagram. <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span>Notes:Award </span><span><span><em><strong>(A1)</strong></em><strong>(ft)</strong></span> for straight line through their mean point, </span><span><span><em><strong>(A1)</strong></em><strong>(ft)</strong></span> for line of best fit with intercept 9(±2) . The second </span><span><span><em><strong>(A1)</strong></em><strong>(ft)</strong></span> can be awarded even if the line does not reach the <em>t</em>-axis but, if extended, the <em>t</em>-intercept is correct.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>75 <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Notes:</strong> Accept 74.77 from the regression line equation. Award <strong><em>(M1)</em></strong> for indication of the use of their graph to get an estimate <strong>OR</strong> for correct substitution of 1.7 in the correct regression line equation <em>t</em> = 38.5<em>m </em>+ 9.32.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>0.960 (0.959614...) <em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(G0)(G1)</strong></em><strong>(ft</strong><strong>)</strong> for 0.95, 0.959</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Strong and positive <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Follow through from their correlation coefficient in part (f).</span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) Cooking time is much larger (or smaller) than the other eight <em><strong>(A1)</strong></em></span></p>
<p><span>(ii) The gradient of the new line of best fit will be larger (or smaller) <em><strong>(A1)</strong></em> </span></p>
<p><br><span><strong>Note:</strong> Some acceptable explanations may include but are not limited to:</span></p>
<p><em><span>The line of best fit may be further away from the plotted points</span></em><br><em><span>It may be steeper than the previous line (as the mean would change)</span></em><br><em><span>The t-intercept of the new line is smaller (larger)</span></em></p>
<p><span>Do not accept vague explanations, like:</span></p>
<p><em><span>The new line would vary</span></em><br><em><span>It would not go through all points</span></em><br><em><span>It would not fit the patterns</span></em><br><em><span>The line may be slightly tilted</span></em></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">A survey of \(400\) people is carried out by a market research organization in two different cities, Buenos Aires and Montevideo. The people are asked which brand of cereal they prefer out of Chocos, Zucos or Fruti. The table below summarizes their responses.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">The following table shows the cost in \({\text{AUD}}\) of seven paperback books chosen at random, together with the number of pages in each book.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>One person is chosen at random from those surveyed. Find the probability that this person</span></p>
<p><span>(i) does not prefer Zucos;</span></p>
<p><span>(ii) prefers Chocos, given that they live in Montevideo.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Two people are chosen at random from those surveyed. Find the probability that they both prefer Fruti.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The market research organization tests the survey data to determine whether the brand of cereal preferred is associated with a city. A chi-squared test at the \(5\% \) level of significance is performed.</span></p>
<p><span>State the null hypothesis.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The market research organization tests the survey data to determine whether the brand of cereal preferred is associated with a city. A chi-squared test at the \(5\% \) level of significance is performed.</span></p>
<p><span>State the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">i.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The market research organization tests the survey data to determine whether the brand of cereal preferred is associated with a city. A chi-squared test at the \(5\% \) level of significance is performed.</span></p>
<p><span>Show that the expected frequency for the number of people who live in Montevideo and prefer Zucos is \(63\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The market research organization tests the survey data to determine whether the brand of cereal preferred is associated with a city. A chi-squared test at the \(5\% \) level of significance is performed.</span></p>
<p><span>Write down the chi-squared statistic for this data.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i.f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The market research organization tests the survey data to determine whether the brand of cereal preferred is associated with a city. A chi-squared test at the \(5\% \) level of significance is performed.</span></p>
<p><span>State whether the market research organization would accept the null hypothesis. Clearly justify your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i.g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot these pairs of values on a scatter diagram. Use a scale of \(1{\text{ cm}}\) to represent \(50\) pages on the horizontal axis and </span><span><span>\(1{\text{ cm}}\)</span> to represent \(1{\text{ AUD}}\) on the vertical axis.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the linear correlation coefficient, \(r\), for the data.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Stephen wishes to buy a paperback book which has \(350\) pages in it. He plans to draw a line of best fit to determine the price. State whether or not this is an appropriate method in this case and justify your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">ii.c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\frac{{280}}{{400}}{\text{ }}(0.7{\text{, }}70\% {\text{ or equivalent}})\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><span><strong>Note: <em>(A1)</em></strong> for correct numerator, <em><strong>(A1)</strong></em> for correct denominator.</span></p>
<p><span>(ii) \(\frac{{57}}{{210}}{\text{ }}\left( {\frac{{19}}{{70}}{\text{, }}0.271{\text{, }}27.1\% } \right)\) <em><strong>(A1)(A1)(G2)</strong></em></span></p>
<p><span><span><strong>Note: <em>(A1)</em></strong> for correct numerator,</span> <span><em><strong>(A1)</strong></em> for correct denominator.</span></span></p>
<p><span><span><em><strong>[4 marks]</strong></em><br></span></span></p>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{180}}{{400}} \times \frac{{179}}{{399}}\) <em><strong>(A1)(M1)</strong></em></span></p>
<p><span><strong><br>Note: <em>(A1)</em></strong> for correct values seen, <em><strong>(M1)</strong></em> for multiplying their two values, <em><strong>(A1)</strong></em> for correct answer.</span></p>
<p><br><span>\( = \frac{{537}}{{2660}}{\text{ }}( = 0.202)\) <em><strong>(A1)(G3)</strong></em></span></p>
<p><span><em><strong>[3 marks]<br></strong></em></span></p>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\({{\text{H}}_0}\) : ‘the preference of brand of cereal is independent of the city’. <em><strong>(A1)</strong></em></span></p>
<p><span><strong>OR</strong></span></p>
<p><span>\({{\text{H}}_0}\) : ‘there is no association between the brand of cereal and city’.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(df = 2\) <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">i.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{210 \times 120}}{{400}}\) <em><strong>(M1)(A1)</strong></em></span></p>
<p><span><strong>Note: <em>(M1)</em></strong> for substituting in correct formula, <em><strong>(A1)</strong></em> for correct values.</span></p>
<p><span>\( = 63\) <em><strong>(AG)</strong></em></span></p>
<p><span><span><strong>Note: </strong>Final line must be seen or previous</span> <span><em><strong>(A1)</strong></em> mark is lost.</span></span></p>
<p><span><span><em><strong>[2 marks]</strong></em><br></span></span></p>
<div class="question_part_label">i.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(39.3\) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note: </strong>Award <em><strong>(G1)(A0)(AP)</strong></em> if answers not to 3 significant figures.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">i.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(p - {\text{value}} < 0.05\) <em><strong>(R1)</strong></em><strong>(ft)</strong></span></p>
<p><span>Do not accept \({{{\text{H}}_0}}\) . <em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><span><strong>Notes: </strong>Allow ‘Reject \({{{\text{H}}_0}}\) or equivalent’. <strong>(ft)</strong> from their \({\chi ^2}\) statistic.</span><br><span>Award <strong><em>(R1)</em>(ft)</strong> for comparing the appropriate values. <strong><em>(A1)</em>(ft)</strong> can be awarded only if the conclusion is valid according to the comparison given. If no reason given or if reason is wrong both marks are lost. Note that <strong><em>(R1)(A0)</em>(ft)</strong> can be awarded but <strong><em>(R0)(A1)</em>(ft)</strong> cannot.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">i.g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><img src="data:image/png;base64,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" alt><span> <em><strong>(A1)(A1)(A1)</strong></em></span></span></p>
<p><span><strong>Notes: <em>(A1)</em></strong> for label and scales, <em><strong>(A2)</strong></em> for all points correct, <em><strong>(A1)</strong></em> for 5 or 6 correct. Award a maximum of <em><strong>(A2)</strong></em> if points are joined.</span></p>
<p><span><em><strong>[3 marks]</strong></em><br></span></p>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(r = - 0.141\) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note: </strong>If negative sign is missing award <em><strong>(G1)(G0)</strong></em>.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>‘The coefficient of correlation is too low, (very) weak (linear) relationship’. <em><strong>(R1)</strong></em></span></p>
<p><span>Not a sensible thing to do, <em>accept ‘no’.</em> <em><strong>(A1)</strong></em></span></p>
<p><span><strong>Note: </strong>Do not award <em><strong>(R0)(A1)</strong></em>. The correlation coefficient has to be mentioned in their reasoning.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">ii.c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Candidates answered part (a) correctly. Some lost one out of the 4 marks for making an error in the denominator of the conditional probability. In (b) many students failed to see that (b) was 'without replacement'. Parts (c), (d) and (e) seemed to be very well done by some centres and uniformly badly by others. In (e) many gave the table from the GDC and highlighted the value 63 for which no mark was gained. Expected value formula should have been used instead.</span></p>
<div class="question_part_label">i.g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The graph was well done with almost all candidates labelling and scaling the axes correctly. A minority of students joined the points or drew the graph on lined paper which prevented them from gaining full marks in this part of the question.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">In (b) some candidates were not able to calculate the linear correlation coefficient. A few G2 comments pointed out that the command term used may have been ambiguous to some candidates and they did not think that they could use their GDC to find <em>r</em>. Some attempted to use the formula even though the value of \({S_{xy}}\) was not given. The guide says that 'A GDC can be used to calculate <em>r</em> when raw data is given'. This potential unfairness was taken into consideration during the setting of boundaries so that no candidate was disadvantaged by the possible ambiguous wording of the question. In future the command term 'Using your GDC' or 'Write down' will be used in similar questions.</span></p>
<p><span style="font-size: medium;"><span style="font-family: times new roman,times;">Some students who did use the GDC gave \({r^2}\) instead of</span> <span style="font-family: times new roman,times;">\(r\)</span><span style="font-family: times new roman,times;">.</span> <span style="font-family: times new roman,times;">This really caught the attention of many examiners as \({r^2}\) is not in the syllabus.</span></span></p>
<div class="question_part_label">ii.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The graph was well done with almost all candidates labelling and scaling the axes correctly. A minority of students joined the points or drew the graph on lined paper which prevented them from gaining full marks in this part of the question.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">In (b) some candidates were not able to calculate the linear correlation coefficient. A few G2 comments pointed out that the command term used may have been ambiguous to some candidates and they did not think that they could use their GDC to find <em>r</em>. Some attempted to use the formula even though the value of \({S_{xy}}\) was not given. The guide says that 'A GDC can be used to calculate <em>r</em> when raw data is given'. This potential unfairness was taken into consideration during the setting of boundaries so that no candidate was disadvantaged by the possible ambiguous wording of the question. In future the command term 'Using your GDC' or 'Write down' will be used in similar questions.</span></p>
<p><span style="font-size: medium;"><span style="font-family: times new roman,times;">Some students who did use the GDC gave \({r^2}\) instead of</span> </span><span style="font-size: medium;"><span style="font-family: times new roman,times;"><span style="font-family: times new roman,times; font-size: medium;">\(r\)</span>.</span> <span style="font-family: times new roman,times;">This really caught the attention of many examiners as \({r^2}\) is not in the syllabus.</span></span></p>
<div class="question_part_label">ii.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The graph was well done with almost all candidates labelling and scaling the axes correctly. A minority of students joined the points or drew the graph on lined paper which prevented them from gaining full marks in this part of the question.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">In (b) some candidates were not able to calculate the linear correlation coefficient. A few G2 comments pointed out that the command term used may have been ambiguous to some candidates and they did not think that they could use their GDC to find <em>r</em>. Some attempted to use the formula even though the value of \({S_{xy}}\) was not given. The guide says that 'A GDC can be used to calculate <em>r</em> when raw data is given'. This potential unfairness was taken into consideration during the setting of boundaries so that no candidate was disadvantaged by the possible ambiguous wording of the question. In future the command term 'Using your GDC' or 'Write down' will be used in similar questions.</span></p>
<p><span style="font-size: medium;"><span style="font-family: times new roman,times;">Some students who did use the GDC gave \({r^2}\) instead of</span> </span><span style="font-size: medium;"><span style="font-family: times new roman,times;"><span style="font-family: times new roman,times; font-size: medium;">\(r\)</span>.</span> <span style="font-family: times new roman,times;">This really caught the attention of many examiners as \({r^2}\) is not in the syllabus.</span></span></p>
<div class="question_part_label">ii.c.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">A university required all Science students to study one language for one year. A survey was carried out at the university amongst the 150 Science students. These students all studied one of either French, Spanish or Russian. The results of the survey are shown below.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Ludmila decides to use the \({\chi ^2}\) test at the \(5\% \) level of significance to determine whether the choice of language is independent of gender.</span></p>
</div>
<div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">At the end of the year, only seven of the female Science students sat examinations in Science and French. The marks for these seven students are shown in the following table.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img 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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State Ludmila’s null hypothesis.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the expected frequency for the females studying Spanish.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find the \({\chi ^2}\) test statistic for this data.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>State whether Ludmila accepts the null hypothesis. Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a labelled scatter diagram for this data. Use a scale of \(2{\text{ cm}}\) to represent \(10{\text{ marks}}\) on the \(x\)-axis (\(S\)) and \(10{\text{ marks}}\) on the \(y\)-axis (\(F\)).</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic calculator to find</span></p>
<p><span></span></p>
<p><span>(i) \({\bar S}\), the mean of \(S\) ;</span></p>
<p><span>(ii) \({\bar F}\), the mean of \(F\) .</span></p>
<p><span> </span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot the point \({\text{M}}(\bar S{\text{, }}\bar F)\) on your scatter diagram.</span></p>
<p><span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to find the equation of the regression line of \(F\) on \(S\) .</span></p>
<p><span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the regression line on your scatter diagram.</span></p>
<p><span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Carletta’s mark on the Science examination was \(44\). She did not sit the French examination. </span></p>
<p><span>Estimate Carletta’s mark for the French examination.</span></p>
<p><span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span></span><span>Monique’s mark on the Science examination was 85. She did not sit the French examination. Her French teacher wants to use the regression line to estimate Monique’s mark.</span></p>
<p><span> State whether the mark obtained from the regression line for Monique’s French examination is reliable. Justify your answer.</span></p>
<p><span></span></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">B.g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span> </span></p>
<p class="MsoNormal"><span>\({{\text{H}}_0}:\) Choice of language is independent of gender. <strong><em> (A1)</em></strong></span></p>
<p class="MsoNormal"><span><strong>Notes: </strong>Do not accept “not related” or “not correlated”.</span></p>
<p class="MsoNormal"><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span> </span></p>
<p class="MsoNormal"><span>\(2\) <strong><em> (A1)</em></strong></span></p>
<p class="MsoNormal"><span><strong><em>[1 mark]<br></em></strong></span></p>
<p class="MsoNormal"> </p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span> </span></p>
<p class="MsoNormal"><span>\(\frac{{50 \times 69}}{{150}} = 23\) <strong><em>(M1)(A1)(G2)</em></strong></span></p>
<p class="MsoNormal"><span><strong>Notes: </strong>Award <strong><em>(M1) </em></strong>for correct substituted formula, <strong><em>(A1) </em></strong>for \(23\).</span></p>
<p class="MsoNormal"><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span> </span></p>
<p class="MsoNormal"><span>\({\chi ^2} = 4.77\) <strong><em>(G2)</em></strong></span></p>
<p class="MsoNormal"><span><strong>Notes: </strong>If answer is incorrect, award <strong><em>(M1) </em></strong>for correct substitution in the correct formula (all terms).</span></p>
<p class="MsoNormal"><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span> </span></p>
<p class="MsoNormal"><span>Accept \({{\text{H}}_0}\) since</span></p>
<p class="MsoNormal"><span>\({\chi ^2}_{calc} < {\chi ^2}_{crit}(5.99)\) <strong>or</strong> \(p\)-value \((0.0923) > 0.05\) <strong><em>(R1)(A1)</em>(ft)</strong></span></p>
<p class="MsoNormal"><span><strong>Notes: </strong>Do not award <strong><em>(R0)(A1)</em></strong>. Follow through from their (d) and (b).</span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p> </p>
<p><span>Award <em><strong>(A1)</strong></em> for correct scale and labels.</span></p>
<p><span>Award <em><strong>(A3)</strong></em> for all seven points plotted correctly, <em><strong>(A2)</strong></em> for 5 or 6 points plotted correctly, <em><strong>(A1)</strong></em> for 3 or 4 points plotted correctly.</span></p>
<p><span><em><strong>(A4)</strong></em></span></p>
<p><span><em><strong>[4 marks]<br></strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span><span>(i) \({\bar S}= 49.9\), <strong><em>(G1)</em></strong></span></p>
<p><span><strong><em> </em></strong></span></p>
<p><span></span></p>
<p><span>(ii) \({\bar F} = 47.3\) <em><strong>(</strong><strong>G1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span><span>\({\text{M}}(49.9{\text{, }}47.3)\) plotted on scatter diagram <strong>(</strong><strong><em>A1)</em>(ft)</strong></span></p>
<p><span><strong>Notes: </strong>Follow through from (a) and (b).</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span></p>
<p><span></span><span>\(F = - 0.619S + 78.2\) <em><strong>(</strong></em><strong><em>G1)(G1)</em></strong></span></p>
<p><span><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \( - 0.619S\), <strong><em>(G1) </em></strong>for \(78.2\). If the answer is not in the form of an equation, award <strong><em>(G1)(G0)</em></strong>. Accept \(y = - 0.619x + 78.2\) .</span></p>
<p><span><strong> </strong></span></p>
<p><span><strong>OR</strong></span></p>
<p><span>(<em>F</em> - 47.3 = - 0.619(<em>S</em> - 49.9)</span><span>) <em><strong>(</strong></em><strong><em>G1)(G1)</em></strong></span></p>
<p><span><strong>Note: </strong>Award <strong><em>(G1) </em></strong>for \( - 0.619\), <strong><em>(G1) </em></strong>for the coordinates of their midpoint used. Follow through from their values in (b).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span><span>line drawn on scatter diagram <strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></span></p>
<p><span><strong>Notes: </strong>The drawn line <strong>must </strong>be straight for any marks to be awarded. Award <strong><em>(A1)</em>(ft) </strong>passing through their M plotted in (c). Award <strong><em>(A1)</em>(ft) </strong>for correct \(y\)-intercept. Follow through from their \(y\)-intercept found in (d).</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span><span>\(F = - 0.619 \times 44 + 78.2\) <strong><em>(M1)</em></strong></span></p>
<p><span></span></p>
<p><span>\(= 51.0\) (allow \(51\) or \(50.9\)) <strong><em>(A1)</em>(ft)<em>(G2)</em>(ft)</strong></span></p>
<p><span><strong>Note: </strong>Follow through from their equation.</span></p>
<p><span> </span></p>
<p><span><strong>OR</strong></span></p>
<p><span><strong><em>(M1) </em></strong>any indication of an acceptable graphical method. <em><strong>(</strong></em><strong><em>M1)</em></strong></span></p>
<p><span> <strong><em>(A1)</em>(ft) </strong>from their regression line. <em><strong>(</strong></em><strong><em>A1)</em>(ft)<em>(G2)</em>(ft)</strong></span></p>
<p><span><strong><em>[2 marks]</em><br></strong></span></p>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span></span><span>not reliable <strong><em>(A1)</em></strong></span></p>
<p><span></span></p>
<p><span>Monique’s score in Science is outside the range of scores used to create the regression line. <strong><em>(R1)</em></strong></span></p>
<p><span><strong>Note: </strong>Do not award <strong><em>(A1)(R0)</em></strong>.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">B.g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A: Chi-square test</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This question part was answered well by most candidates. The null hypothesis and degrees of freedom were mostly correct. Some candidates offered a conclusion supported by good justifications, but others still showed lack of the necessary knowledge to do that. Some responses to part d) incurred an accuracy penalty for not adhering to the required accuracy level.</span></p>
<div class="question_part_label">A.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A: Chi-square test</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This question part was answered well by most candidates. The null hypothesis and degrees of freedom were mostly correct. Some candidates offered a conclusion supported by good justifications, but others still showed lack of the necessary knowledge to do that. Some responses to part d) incurred an accuracy penalty for not adhering to the required accuracy level.</span></p>
<div class="question_part_label">A.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A: Chi-square test</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This question part was answered well by most candidates. The null hypothesis and degrees of freedom were mostly correct. Some candidates offered a conclusion supported by good justifications, but others still showed lack of the necessary knowledge to do that. Some responses to part d) incurred an accuracy penalty for not adhering to the required accuracy level.</span></p>
<div class="question_part_label">A.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A: Chi-square test</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This question part was answered well by most candidates. The null hypothesis and degrees of freedom were mostly correct. Some candidates offered a conclusion supported by good justifications, but others still showed lack of the necessary knowledge to do that. Some responses to part d) incurred an accuracy penalty for not adhering to the required accuracy level.</span></p>
<div class="question_part_label">A.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part A: Chi-square test</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">This question part was answered well by most candidates. The null hypothesis and degrees of freedom were mostly correct. Some candidates offered a conclusion supported by good justifications, but others still showed lack of the necessary knowledge to do that. Some responses to part d) incurred an accuracy penalty for not adhering to the required accuracy level.</span></p>
<div class="question_part_label">A.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;"><strong>Part B: Scatter plot and Regression line</strong></span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates reversed the axes in a), but the points were mostly plotted well. The values of the coefficients of the equation of the regression line \(y = ax + b\) were often given not to the required 3 significant figure accuracy, and incurred a penalty. The regression line was often drawn not passing through point M and the y-intercept. The responses to the last part of the question were particularly weak, and many candidates were not able to offer a satisfactory reason to support their conclusion.</span></p>
<div class="question_part_label">B.g.</div>
</div>
<br><hr><br><div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>For an ecological study, Ernesto measured the average concentration \((y)\) of the fine dust, \({\text{PM}}10\), in the air at different distances \((x)\) from a power plant. His data are represented on the following scatter diagram. The concentration of \({\text{PM}}10\) is measured in micrograms per cubic metre and the distance is measured in kilometres.</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>His data are also listed in the following table.</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>Use the scatter diagram to find the value of \(a\) and of \(b\) in the table.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate</p>
<p>i) \({\bar x}\) , the mean distance from the power plant;</p>
<p>ii) \({\bar y}\) , the mean concentration of \({\text{PM}}10\) ;</p>
<p>iii) \(r\) , the Pearson’s product–moment correlation coefficient.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write down the equation of the regression line \(y\) on \(x\) .</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ernesto’s school is located \(14\,{\text{km}}\) from the power plant. He uses the equation of the regression line to estimate the concentration of \({\text{PM}}10\) in the air at his school.</p>
<p>i) Calculate the value of Ernesto’s estimate.</p>
<p>ii) State whether Ernesto’s estimate is reliable. Justify your answer.</p>
<div class="marks">[4]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(a = 4.2\,;\,\,b = 74\) <em><strong>(A1)(A1)</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i) \(5.91\,({\text{km}})\) <strong><em>(A1)</em>(ft)</strong></p>
<p>ii) \(88\) (micrograms per cubic metre) <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>Note:</strong> Follow through from part (a) irrespective of working seen.</p>
<p>iii) \( - 0.956\,\,\,\,( - 0.955528...)\) <strong><em>(G2)</em>(ft)</strong></p>
<p><strong>Note:</strong> Follow through from part (a) irrespective of working seen.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(y = - 5.39x + 120\,\,\,\,(y = - 5.38955...x + 119.852...)\) <em><strong>(A1)</strong></em><strong>(ft)<em>(A1)</em><strong>(ft)</strong></strong></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em><strong>(ft)</strong> for \( - 5.39\). Award <em><strong>(A1)</strong></em><strong>(ft)</strong> for \(120\). If answer is not an equation award at most <em><strong>(A1)</strong></em><strong>(ft)<em>(A0)</em></strong>. Follow through from part (a) irrespective of working seen.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i) \( - 5.38955... \times 14 + 119.852...\) <em><strong>(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct substitution into their regression line.</p>
<p>\( = 44.4\,\,(44.3984...)\) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></p>
<p><strong>Note:</strong> Follow through from part (c). Accept \(44.5\,\,(44.54)\) from use of \(3\) significant figure values.</p>
<p> </p>
<p>ii) Ernesto’s estimate is not reliable <em><strong>(A1)</strong></em></p>
<p>this is extrapolation <em><strong>(R1)</strong></em></p>
<p><strong>OR</strong></p>
<p>\(14\,{\text{km}}\) is not within the range (outside the domain) of distances given <em><strong>(R1)</strong></em></p>
<p><strong>Note:</strong> Do not accept “\(14\) is too high” or “\(14\) is an outlier” or “result not valid/not reliable” if explanation not given. Do not award <em><strong>(A1)(R0)</strong></em>. Do not accept reasoning based on the strength of \(r\).</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Question 1: Reading scatter diagram, mean, correlation and regression line.<br>The majority of the candidates scored very well on this question. There were only a few candidates who read the diagram incorrectly. The most common mistake in parts (b), (c) and (d)(i) were rounding errors, sometimes resulting in candidates losing follow-through marks when working was not presented. Part (d)(ii) was answered incorrectly by most candidates. The most common incorrect answer was based on strong correlation. Some commented on the trend of decreasing PM10 values for increasing distances, showing lack of understanding about extrapolation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 1: Reading scatter diagram, mean, correlation and regression line.<br>The majority of the candidates scored very well on this question. There were only a few candidates who read the diagram incorrectly. The most common mistake in parts (b), (c) and (d)(i) were rounding errors, sometimes resulting in candidates losing follow-through marks when working was not presented. Part (d)(ii) was answered incorrectly by most candidates. The most common incorrect answer was based on strong correlation. Some commented on the trend of decreasing PM10 values for increasing distances, showing lack of understanding about extrapolation.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 1: Reading scatter diagram, mean, correlation and regression line.<br>The majority of the candidates scored very well on this question. There were only a few candidates who read the diagram incorrectly. The most common mistake in parts (b), (c) and (d)(i) were rounding errors, sometimes resulting in candidates losing follow-through marks when working was not presented. Part (d)(ii) was answered incorrectly by most candidates. The most common incorrect answer was based on strong correlation. Some commented on the trend of decreasing PM10 values for increasing distances, showing lack of understanding about extrapolation.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 1: Reading scatter diagram, mean, correlation and regression line.<br>The majority of the candidates scored very well on this question. There were only a few candidates who read the diagram incorrectly. The most common mistake in parts (b), (c) and (d)(i) were rounding errors, sometimes resulting in candidates losing follow-through marks when working was not presented. Part (d)(ii) was answered incorrectly by most candidates. The most common incorrect answer was based on strong correlation. Some commented on the trend of decreasing PM10 values for increasing distances, showing lack of understanding about extrapolation.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">A manufacturer claims that fertilizer has an effect on the height of rice plants. He measures the height of fertilized and unfertilized plants. The results are given in the following table.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">A chi-squared test is performed to decide if the manufacturer’s claim is justified</span> <span style="font-size: medium; font-family: times new roman,times;">at the<strong> 1 %</strong> level of significance.</span></p>
</div>
<div class="specification">
<p><span style="font-size: medium; font-family: times new roman,times;">The population of fleas on a dog after <em>t</em> days, is modelled by</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">\[N = 4 \times {(2)^{\frac{t}{4}}},{\text{ }}t \geqslant 0\]</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;">Some values of<em> N</em> are shown in the table below.</span></p>
<p><span style="font-size: medium; font-family: times new roman,times;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the null and alternative hypotheses for this test.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i, a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>For the number of fertilized plants with height greater than 75 cm,</span> <span>show that the expected value is 97.5.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">i, b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the value of \(\chi_{calc}^2\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i, c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the number of degrees of freedom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">i, d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Is the manufacturer’s claim justified? Give a reason for your answer.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i, f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the value of </span><span><em>p</em>.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">ii, a, i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the value of <em>q</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">ii, a, ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Using the values in the table above, draw the graph of <em>N</em> for 0 ≤ <em>t</em> ≤ 20. Use 1 cm to represent 2 days on the horizontal axis and 1 cm to represent 10 fleas on the vertical axis.</span></p>
<div class="marks">[6]</div>
<div class="question_part_label">ii, b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><strong>Use your graph</strong> to estimate the number of days for the population of fleas to reach 55.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">ii, c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>H<sub>0</sub>: The height of the rice plants is independent of the use of</span> <span>a fertilizer. <em><strong>(A1)</strong></em></span></p>
<p><br><span><strong>Notes:</strong> For independent accept “not associated”, can accept “the use of a</span> <span>fertilizer has no effect on the height of the plants”.</span></p>
<p><span>Do not accept “not correlated”. </span></p>
<p><br><span>H<sub>1</sub>: The height of the rice plants is not independent (dependent)</span> <span>of the use of fertilizer. <em><strong>(A1)</strong></em><strong>(ft)</strong><br></span></p>
<p><span><strong> </strong></span></p>
<p> </p>
<p><span><strong>Note:</strong> If H<sub>0</sub> and H<sub>1</sub> are reversed award <em><strong>(A0)(A1)</strong></em><strong>(ft)</strong>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">i, a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{180 \times 195}}{{360}}\) <strong>or</strong> \(\frac{{180}}{{360}} \times \frac{{195}}{{360}} \times 360\) <em><strong>(A1)(A1)(M1)</strong></em></span></p>
<p><span>= 97.5 <em><strong>(AG)</strong></em></span></p>
<p><strong><em> </em></strong></p>
<p><span><strong>Notes:</strong> Award <em><strong>(A1)</strong></em> for numerator, <em><strong>(A1)</strong></em> for denominator <em><strong>(M1)</strong></em> for division.</span></p>
<p><span>If final 97.5 is not seen award at most <em><strong>(A1)(A0)(M1)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[3 marks]</span></strong></em></p>
<div class="question_part_label">i, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\( \chi_{calc}^2 = 14.01 (14.0, 14)\) <em><strong>(G2)</strong></em></span></p>
<p><strong><span>OR</span></strong></p>
<p><span>If worked out by hand award <em><strong>(M1)</strong></em> for correct substituted formula with correct values, <em><strong>(A1)</strong></em> for correct answer. <em><strong>(M1)(A1)</strong></em></span></p>
<p><span><em><strong>[2 marks]</strong></em></span></p>
<div class="question_part_label">i, c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>2 <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">i, d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\( \chi_{calc}^2 > \chi_{crit}^2\) <em><strong>(R1)</strong></em></span></p>
<p><span>The manufacturer's claim is justified. (or equivalent statement) <em><strong>(A1)</strong></em> </span></p>
<p><span><strong><em> </em></strong></span></p>
<p><span><strong>Note:</strong> Do not accept <em><strong>(R0)(A1)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">i, f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(p = 4\) <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[1 mark]<br></strong></em></span></p>
<div class="question_part_label">ii, a, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(q = 4(2)^{\frac{16}{4}}\) <strong><em>(M1)</em></strong></span></p>
<p><span>\(= 64\) <strong><em>(A1)(G2)</em></strong></span></p>
<p><span><strong><em>[2 marks]</em></strong></span></p>
<div class="question_part_label">ii, a, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><img 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i4QSGmCQBIXy/Yy9ocX3gXybm9vF4tFRi8XCKQ0QSCJi2V7GfvDC+8CeaN3ICGQwAUIJHGxbC9jf3jhXRTv0dFR9A4kBBK4AIEkLpbtZewPL7yL4q3VakTU7XYZvVwgkNIEgSQulu1l7A8vvIviLZfL5XKZ18sFAilNEEjiYtlexv7wwrsQ3vCJQZZl8Xq5QCClCQJJXCzby9gfXngXwhs+MSh65QQCCVyAhbHwwgtvkt7N13947dr1ebxyT4lSuwMxGCGJi2V7GfvDC+9CeIvFYjjhm9fLBQIpTRBI4mLZXsb+8MKbfa/jONGEb14vFwikNEEgiYtlexn7wwtv9r3xCd+8Xi4QSGmCQBIXy/Yy9ocX3ux74xO+eb1cIJDSBIEkLpbtZewPL7wZ9w5N+Ob1coFAShMEkrhYtpexP7zwZtw7NOGb18sFAilNEEjiYtlexv7wwptxb/SEbxleLhBIaYJ1SPDCC28y3mvXrm++/sP5vXJPiVK7AzEYIYmLZXsZ+8MLb5a9jx49HprwzevlAoGUJggkcbFsL2N/eOHNsvftd94lona7LcnLBQIpTRBI4mLZXsb+8MKbZe/NV0pDE755vVwgkNIEgSQulu1l7A8vvJn1drtdIqrVavK8XCCQ0gSBJC6W7WXsDy+8mfWGr4g9OjqS5+UCgZQmCCRxsWwvY3944c2sd3d3d9KpBoEELkAgiYtlexn7wwtvZr2lUum1O3ekerlAIKUJ1iHBCy+8Ur2f7n9GRA8fvsfllXtKlNodiMEISVws28vYH154s+nd398noicffyLVywUCaQKeY1sfGuqKbj0b+orv1nf0FSIi1dhruP7FV87cw/d1hYgU1fio4Z5dKkEgiYtlexn7wwtvNr3hE4Nke7lAII3lxDZWiYioMBxI3mFVLaiVA9c/c+0HqnLXaoXB43uNHZW0it3y/ZZd0ZQNq+WP6x0DgSQulu1l7A8vvNn0hq+IRSAtPL5jasOBdOqY66RU7I4fBEHgN01NUQy7M/Tfve9dNewTsQKBJC6W7WXsDy+8GfRGr4hFIC0+rqUPBZLfNDWFdMvt/fkin4bTazCfJoFAEhfL9jL2hxfeDHqjV8QikBaf0UDq2IZChWrjvPfnc9faJFo3nf/RsSsKqdWG1y99ZukF0kxHeNUOgSQulu1l7A8vvBn0Rq+IRSAtPqOB5Fo6jQaSWm087//HYCDFSseCQBIXy/Yy9ocX3qx5408MQiAtPtMG0rrpeOMDadwI6dat29FGRPE/YsOGDRvX9vLL3yeitbWbvG2lnnQRSJOZcA8pdmfIa1TV2D2k2CyG80a1QLiHNKUXIyR44WX3xp8YhBHS4jMaSJhlJ8eLQIIXXnZvqVTa3t5OxssFAmkivmNqpGhmM37VzW9ZG8qKbn7lBR3HqsTWIZ21rLuKsmE2O4HXtAysQ0IgwQtvat7j42Mi2t/fT8bLBQJpLF6jqlLEwNwE33MsQ1WIiNSK5cSvyXUcq6JS+KQGy/EuiyME0mXFsr2M/eGFN1Pe8IlB0StiEUjgchBI4mLZXsb+8MKbKW+5XC6VSol5uUAgpQkCSVws28vYH154s+MdfUUsAglcDgJJXCzby9gfXniz463X60TkOE5iXi4QSGmC9yHBCy+87N7N13947dp1SV65p0Sp3YEYjJDExbK9jP3hhTc73vAJ30l6uUAgpQkCSVws28vYH154M+I9OjoKn/CdpJcLBFKaIJDExbK9jP3hhTcj3ugJ30l6uUAgpQkCSVws28vYH154M+ItlUpbW1sJe7lAIKUJAklcLNvL2B9eeLPgffLxJ/EHNCTm5QKBlCYIJHGxbC9jf3jhzYL34cP34g9oSMzLBQIpTRBI4mLZXsb+8MKbBe/NV0rxBzQk5uUCgZQmWIcEL7zwcnk//+JLIrp//y2pXrmnRKndgRiMkMTFsr2M/eGFN3Xv6AMakvEygkBKEwSSuFi2l7E/vPCm7t3e3r527XryXkYQSGmCQBIXy/Yy9ocX3tS9xWJx8/UfJu9lBIGUJggkcbFsL2N/eOFN1xs+oOEXH/wyYS8vCKQ0QSCJi2V7GfvDC2+63vABDZ9/8WXCXl4QSGmCQBIXy/Yy9ocX3nS94QMa0jpeLhBIaYJAEhfL9jL2hxfeFL3Hx8fhAxoQSGB2sA4JXnjhnd97//5bRPTp/mcJeOWeEqV2B2IwQhIXy/Yy9ocX3hS95XK5XC4n72UHgZQmCCRxsWwvY3944U3L2263iciyrIS9MkAgpQkCSVws28vYH1540/Lu7+8T0fHxccJeGSCQ0gSBJC6W7WXsDy+8aXnL5XL0QFUEEpgdBJK4WLaXsT+88Kbi7Xa7RFSr1RL2SgKBlCYIJHGxbC9jf3jhTcU79EBVBBKYHQSSuFi2l7E/vPCm4t3e3i4Wi8l7JYFASo3f/PYQ65DghRfemb3hC5DuvfFmkl6pZ0UEUppghCQulu1l7A8vvMl7wweqHh0dJeyVBwLpSvie82lVXyEiIs3YO3T9+Bfdwx1dGfulCSCQxMWyvYz94YU3ee/u7m78el1iXnkgkK6A37I2lBXd/MoLfK+5pyuKWj30el983qiukfrAds9896Cirm5YTy+NJASSuFi2l7E/vPAm7y0Wi9vb28l75YFAmp5Tx1ynQrVxHvsjrZvOaRAEvmNqtGrYJxdfUip255JIQiCJi2V7GfvDC2/C3vB6Xb1eT9g7dj8XCKTpeWbphVggxUMoDKdNyz0f+ZIIBJK4WLaXsT+88Cbs3d3dJaJut5uwd+x+LhBI03NiG6vxcY/vmBoVdOtZ70uxrApcSydFM5viIRICSVws28vYH154E/aWSqWh63XJeMfu5wKBND1+x64opKiG5Xh+fwpDOAwaHjwFrqXTwI6xIJDExbK9jP3hhTdJ7yuv/P3o9boEvAikTNFxrIpKRKSoxk8NVekPmMYG0pgR0q1bt+MbEQ3twYYNG7ZLt+9852+JaH39H5JXSz3DIpBmpWMbF7PshmcxnDeqBdxDmtqLERK88F5p/ze/+WdbW1vJexFImcT7ytRXSN1pePH7SZhlN6MXgQQvvNPvj15YnrA3QCBlj45jm4aqKPr7h+7ZxW7/qbWxouh7Te/ccywD65AQSPDCK2d/rVYjona7nbA3QCBlCa9RVYmIVMN80hjzIAavaRla7yEOVtMb02EYBJK4WLaXsT+88CbmLZVK3/pWIXlvgEDKNwgkcbFsL2N/eOFNxhter1PV7yXsDUEg5RkEkrhYtpexP7zwJuMNr9e9+uoPEvaGIJDyDAJJXCzby9gfXniT8ZZKpXK5nLXj5QKBlCZ4HxK88MI7/fbk40+I6OHD91I8XrmnRKndgRiMkMTFsr2M/eGFNwFvNL8ua8fLBQIpTRBI4mLZXsb+8MKbgDe8Xpe8NwKBlGcQSOJi2V7G/vDCK9vbbrej9bBZO14uEEhpgkASF8v2MvaHF17Z3v39/Wg9bNaOlwsEUpogkMTFsr2M/eGFV7a3XC6H1+sS9sZBIOUZBJK4WLaXsT+88Er1xq/XJekdAoGUZxBI4mLZXsb+8MIr1Rterzs+Pk7YOwQCKc9gHRK88MI7zXbzldJLN25k4XjlnhKldgdiMEISF8v2MvaHF1553vB6Xa1WS9g7CgIpzyCQxMWyvYz94YVXnnfoel1i3lEQSHkGgSQulu1l7A8vvPK85XK5VCol7x0FgZRnEEjiYtlexv7wwivJO3q9Lhnv2P0IpDyDQBIXy/Yy9ocXXkne0et1yXjH7kcg5RkEkrhYtpexP7zwSvKOXq9Lxjt2PwIpzyCQxMWyvYz94YVXRv9P9z8bvV6XgBeBtIxgHRK88MIr2B4+fI+Innz8SXaOV+4pUWp3IAYjJHGxbC9jf3jhldH/5iul0et1CXiverxcIJDSBIEkLpbtZewPL7zs/cfOr0vAK9iPQMozCCRxsWwvY3944WXvP3Z+XQJewX4EUp5BIImLZXsZ+8MLL3v/crn80o0byXsF+xFIeQaBJC6W7WXsDy+8vP3D63X377+VsFe8H4GUZxBI4mLZXsb+8MLL279WqxHRp/ufJewV70cg5RkEkrhYtpexP7zw8vYvlUrlcnlRjpcLBFKaYB0SvPDCO7o9evSYiH7xwS8zeLxyT4lSuwMxGCGJi2V7GfvDCy9j/93dXSLqdruLcrxcIJDSBIEkLpbtZewPL7xc/bvdbrFY3N3dTdg7zX4EUqY4cxsfGapCRESKanzUcM8uvui7hzu6QkSkGXuHrn95OwSSuFi2l7E/vPBy9a/X60R0dHSUsHea/QikDOG3rA1FUQ3L8fzA+8rUV0gznV7wPG9U10h9YLtnvntQUVc3rKeXRhICSVws28vYH154ufpvbW0Vi8XkvdPsRyBliPNGtUCrhn0S/sm1Nkmp2B0/CALfMbWLL5065nr0JQEIJHGxbC9jf3jhZek/9LigRTleLhBIV8BvWRsKKRtWyw/C1FEMuxP0/pto03LPe5UD+TQRBJK4WLaXsT+88LL0tywr/rigRTleLhBIV8L3mnt6YcNsdnz3oKJtms1OEARBcGIbq1SoNs77ha6lk6KZTfEQCYEkLpbtZewPL7ws/cPlR8l7p9yPQMoYvnu48yNNLZCy0U+jIAieWXphJJAGdoTcunU7vhHR0B5s2LAt7ba2dpOIVPV7qX8SwSb1/IpAugp+y66sqdVDrzehTlErB64fTAgkjJCm9WKEBC+8QWz5UcLe6fcjkLKD37ErCq2bzmkQBEHQaZob/T8Oz2IYnP4wEQSSuFi2l7E/vPDO2T9cfrS9vZ2w90r7EUjZIZy5EAVSOAxSqw0vwCy7+bwIJHjhjS8/StJ7pf0IpAzhO6ZGpOh7Tc8P/JZd0UjdaXh+EASB/9TaWFH0vaZ37jmWgXVICCR44b3K/vjyoyS9V9qPQMoUwic1eE3L0Ch8UoPV9KZoh0ASF8v2MvaHF955+ny6/9nYt5UvyvFygUBKEwSSuFi2l7E/vPDO0+ftd94d+7byRTleLhBIaYJAEhfL9jL2hxfeefq8dONGfPlRYl4EErgA70OCF154a7Vfid9+lKnjlXtKlNodiMEISVws28vYH154Z+4zuvwoGe8M+xFIeQaBJC6W7WXsDy+8s/XpdrtEdO+NNxP2zrYfgZRnEEjiYtlexv7wwjtbn3D5Ua32q4S9s+1HIOUZBJK4WLaXsT+88M7Wp1wul0qlRT9eLhBIaYJAEhfL9jL2hxfeGfocHx8TkWVZi368XCCQ0gSBJC6W7WXsDy+8M/Sp1WpE1G63F/14uUAgpQkCSVws28vYH154Z+hTLBa3traS9868H4GUZ7AOCV54l9Y7w/KjLByv3FOi1O5ADEZI4mLZXsb+8MJ71T7b29vFYjFcfrTox8sFAilNEEjiYtlexv7wwnulPu12m4h2d3cT9s65H4GUZxBI4mLZXsb+8MJ7pT77+/vxp6ku+vFygUBKEwSSuFi2l7E/vPBeqU+pVCqVSsl759yPQMozCCRxsWwvY3944Z2+j+M4RLS/v5+wd/79CKQ8g0ASF8v2MvaHF97p+4w+TXXRj5cLBFKaIJDExbK9jP3hhXfKPuHTVKPpDIl5WfYjkPIM1iHBC++yeX/xwS+J6NGjxwt6vHJPiVK7AzEYIYmLZXsZ+8ML75R9wqepJu9l2Z+nQDpzG5+YhlaoNs6v8F3PLL1wxW+ZFd9t7BkqEZGiGh813DPZQgSSuFi2l7E/vPBOU//k40/Cp6km7F2cQDpvVAs0iKIapu10mFWupRMR0WXp4nfsnZ2Gx2y/nFPHXCfNdPwz136g0qphn8hWIpDExbK9jP3hhXea+ntvvBk+TTVh7+IEUhD0zsW0abnnQXDmHr6vK0TKhtmUkkmXBJLfNDWtmnwg+U1TUxIaivVBIImLZXsZ+8ML76X13W732rXr29vbCXsZ9ycTSOeutdkPpCAI/I5dUYgUw2ZOpMsDqdM0NxRSUwik80a1cOnojbNel5cAACAASURBVBkEkrhYtpexP7zwXlofvhz26OgoYS/j/lQCKfAdUyMi3XKDIAh8z7FNQ6Phmysdx/63qv6ibv67FX5V0XcO3bPeJcCCbj0L7wARUa/5YCD57uFery0p+vuH7v/XNDeU6MJhodo4DxUrsZzoOLZpqGGVZuwdun7YqmFVdaXwjv0flqEqRIpaOQi/NIDn2GZ4l4hINfYaYUl4+DRglvgzvwCBJC6W7WXsDy+8l9ZvbW1du3Y9eS/j/vRHSH7L2lBWdPMrL/C95p6uEKk7De88rOlnyVngfWXqK6TctVqnHbui9AIpCIIT21gdF0gntrEatvIaO2pvf/hJeiOkXi5efMtZy7qr9K4lhmMpRa0een7T1MLPsqLv1F0/vAK5bjqnA8fqP7U2VhR9r+n5vU9La9XG895XMUJKz4tAgjf33vBpqvfvv5Wwl3d/koGkVeyWH/ieEw4ywpP1qWOuk1KxO+Fw46xl3VVI0cym3z+H94MnzA9FM5tnA/u9RlUdE0hhPIRXBS/CYCCQgmDwKp/fNDXl4kKi/9TaWOkHzzNLv8iToQ8W+3gXUxX8lrWhEGmmEx4ZAik9LwIJ3tx7w5fDfrr/WcJe3v1JBlKMi8tZAyf6oD9qCXcMn/c7tqGQYtjtaQKp185tPPnXqr5C40ZIQTAYSMPfHo6EwuJLA2mkcziuitqlFEi/SWN1228WaiEhvPDmwHvt2vXX7tzJwfHKPSUGQTB6D+mCobN2MJAKw+f9/jn9dKpACqfzrejVf7P/42CaEVI8C2Mfe8pAiqdXyGDWYoSUnndSsWwvY3944RXUh9MZ6vV6Xo+Xi8sCKbzTc3HJbuDC17hLdquGfeI7pnZpIHVsQ+ld+pv2kl1/BNaf+xe/nHhpIIU3xmKri4YuACKQ0vMikODNtzd62URej5eL+DqkkVkAQRBEkxp26q4fBH7LrmjKhtUKZ6c1qgWigWkC6k7D83vJsWG1/P6qJiKizf/r//4XLZpN7lp6by5cxznY0XtJEwbSqmE7DfNfG54fjor6sRFOatB3Dl0/CHz3oKKublhP/WBoJBdmTz/tLo4knNTw/qF7FgRnrv1AVe5arf7jGIbTbhzeYVVVBq5tDiSce7gTHuvF9L9LfvoIJGGxbC9jf3jhnVQff9lEXo+Xi+EnNYwbIvie82l4m4doRa9+6ni9c+15o1ogRb13T1eGZ4T3J3BrhnVoVzXV+PBxVf+fI41uudHpW9F3fnvwoaYQaYbV7LgHFVUZnEHe/5YgCIJeeoXT+6oHjtf/HP0D+Kn1b9H9sOF5DYHnHFSj79456D2NYugW2qRVUGct66cVqxl9zXdM7WLs+LxRXSP1ge2eDSSl+KePQBIWy/Yy9ocX3kn129vbxWIxfNlEXo+Xi7meZTd2Mlt+6TiN38eS6tQx16MR1eAUvqGpiRNBIImLZXsZ+8ML79j6cLZ39LKJvB4vFwikWfGbpvbiQAINryy+/Gl4CCRxsWwvY3944R1bH76LL3p4XV6Pl4t5AmnCrZrlYPB63YltrI7MRbz8J4NAEhfL9jL2hxfe0fput1ssFre2thL2ytuf2UAauO+S8OS0DDBwvW50tZbgqX23bt2ONiKK/xEbNmx52lT1e0S0tnYz9U/CuEk9seIFfTMxcL0umBBIGCFN68UICd5ceqPZ3gl75e1HIGWRwet1wegshvNGtYB7SFN7EUjw5s97dHQULoZN2Ct1PwIpg5w65m21ehifG45ZdvN4EUjw5s+7tbUVzfZO0it1/yIFUux1Etq9yjv/5weGmsubS95hVb09+VHi555jGViHhECCd4m9XK8qX5Tj5YIvkPymqRU0s+n7Lbsic7ZD/1XoA4+WuHgDBU0zNJkDv2NXlOgZ4XG8ptXPYyO2flYAAklcLNvL2B9eeONwvap8UY6XC7ZA8h1TEzy6lJlw3c/Qk35ObOPFoStpGQeBJC6W7WXsDy+8EUOLYRPzMvZf+EA6b1QLyQXSM2tjw7inDQyGOrZRkDo24geBJC6W7WXsDy+8EZZlEdHx8XHCXsb+Cx1I0XvK48+CGwqk2APxomfQBUHgu429/jvF+09Nja59KXr136rGzuiT5Tq2sWY2m733AYYvMe/YlYL40ajZg/A+JHjhzZf38y++5H31UdaOV+4pkauReITkt6yNgr5z6Pp+y65o/dfRhs96WKs2nvcepF2oNs5PHXO9/0Dxs5b1YCSQ/I59f81s+uEbY3u3c05sQ124hxhhhCQulu1l7A8vvCHh8OjRo8cJe3n7X9XLRTKBNPoc0vD2T/g6ifA6m9eoqlSoNs69RlXtvdJiPF6j+iPTOR14xZHfNLWRmW+ZB4EkLpbtZewPL7wh4WLY5TleXpIJpKFrevHXSQRBcOY2/v1x+FaIQrVx7nuNHTWcq2Z+0n+fRQy/aa7d790r8g6rqqJsWM+apjZ25lu2QSCJi2V7GfvDC28g4c2wGT9edpILpLHzG3y3vqOvKHr1sd2weyOkIAh8z/m8F1G9i3uxb3HMtaGXxpKq69oiPuMVgSQulu1l7A8vvIGEN8Nm/HjZSSaQTmxjtfcy2R5nrvPUC/f3RjbRJbuLnn74sr6LsVQQBH7HfqcSeySP37I2FJr0utuMg0ASF8v2MvaHF97wWUG8b4bN8vHKgCuQYrdzejuapqZE07L9lrWhRK+U9T3nyY7l+GFoqQ9s97Q3B0+p2J1OY+dB783i4RW5+Nw577Cq3o1eOxQEQTCQagsGAklcLNvL2B9eeOPPClqG45WBhGnfhWrjNP7u8fC1dWdu4yNDVXoPMtgL53efuYfv6woRreg7B/aH60SKapjm/3Gv+vhDQ1WIFNWw+m9M7y2GHXnLuO81fraxgNfrAgTSZcWyvYz94V1yr+M48WcF5f54JYGHq6YJ1iHBC28+vOGzgj7/4svcH6/cU6LU7kAMRkjiYtlexv7wLrN39FlB+T5eeSCQ0gSBJC6W7WXsD+8ye3d3d4cepZrv45UHAilNEEjiYtlexv7wLq232+0S0fb2dsJeqf0RSMsIAklcLNvL2B/epfWGzwpyHCdhr9T+CKRlBIEkLpbtZewP7xJ6Hcd58cX/9a/+6q/++Z//OUlvkL2fMxcIpDRBIImLZXsZ+8O7bF7btr/+9a+Hy1C++c1vSnpVeXaOV+zlAoGUJggkcbFsL2N/eJfNe/PmzWit5be//W1csmMBgZQmWIcEL7wL6v3rv/7rKJCuX7/+6NHjfB9v5JV7SpTaHYjBCElcLNvL2B/eZfPatv21r30tDKS//Mu/xCU7FhBIaYJAEhfL9jL2h3fZvOGzgl544YWf//zn8RVIsr0hWfs5c4FAShMEkrhYtpexP7zL5g0fpbq+/g8Je0Oy9nPmAoGUJggkcbFsL2N/eJfKGz4rqFarLcnxXurlAoGUJggkcbFsL2N/eJfKGz0raEmO91IvFwikNEEgiYtlexn7w7s83vijVJfheKfxcoFAShMEkrhYtpexP7zL463VakR0fHycsDdO1rxcIJDSBOuQ4IV3sbyff/HltWvXX7tzZ0mOd9Qr95QotTsQgxGSuFi2l7E/vEviHXqUau6Pd0ovFwikNEEgiYtlexn7w7sM3m63WywWt7a2EvaOkjUvFwikmfAc+3FVV4iooFvPejt993BHV4iINGPv0PUvb4NAEhfL9jL2h3cZvKNvmsj38U7v5QKBdFV8z7EMVSHVMJ80YqnzvFFdI/WB7Z757kFFXd2wnl4aSQgkcbFsL2N/eHPvHR0eJeMduz9rXi4QSFfDb1kbCin6XtMbiBvfMTVaNeyTIAiC4NQx10mp2J1LIgmBJC6W7WXsD2/uvWNfxJfj472SlwsE0lXwn1obK6TctVpng184dcx1ok3LPe8VDuTTRBBI4mLZXsb+8Obb+/kXXxaLxXK5nLB3UX7OXCCQroDvmBqRoj94R18hIlL0nd6tohPbWKVCtXHeL3UtnRTNbIqHSAgkcbFsL2N/ePPtffjwPSKq1+sJexfl58wFAml6wmFQb8KC79Z39BWiddM5DYJnll4YCaSBHSG3bt2Ob0Q0tAcbNmwZ3L75zT/75jf/LPWPkYVN6kkWgTQ9XqOqxu4M+V5jR+0Ng8YGEkZI03oxQoI3y956vT52eCTbK9ifNS8XCKTpGQqk+DBoeBbDeaNawD2kqb0IJHiz7C2VSi/duJG8V7A/a14uEEjT43fsihKPGdfS+3/ELLt5vAgkeDPrDYdHv/jglwl7xfuz5uUCgXQVwll26gPbPQv8ll3RLuZ/+0+tjRVF32t6555jGViHhECCNxfeUqlUKpWW53hn83KBQLoiXtMyNCIiUlTjo4Z7Nu5LmmE1vSmaIZDExbK9jP3hzaU3unu0JMc7s5cLBFKaIJDExbK9jP3hzaU3HB4l7710f9a8XCCQ0gSBJC6W7WXsD2/+vPv7+9HkumU43nm8XCCQ0gTvQ4IX3mx6w/cevXTjxpIc7/ReuadEqd2BGIyQxMWyvYz94c2ZN3xy3dHRUcLeKfdnzcsFAilNEEjiYtlexv7w5sk7+mDvfB/v/F4uEEhpgkASF8v2MvaHN0/e0Qd75/t45/dygUBKEwSSuFi2l7E/vLnxjn3vUY6Pl8XLBQIpTRBI4mLZXsb+8ObGO/a9Rzk+XhYvFwikNEEgiYtlexn7w5sPb/jeo6HhUQLeRf85c4FAShMEkrhYtpexP7z58N6//9bo8CgB76L/nLlAIKUJ1iHBC292vJ/uf0ZEr925syTHO5tX7ilRancgBiMkcbFsL2N/eHPg3d3dJaJ2u52wd4b9WfNygUBKEwSSuFi2l7E/vIvudRyHiO698WbC3tn2Z83LBQIpTRBI4mLZXsb+8C66d2trq1gsfrr/WcLe2fZnzcsFAilNaIToS+EvxGjBUIbNXBD9Yl3aYbbPOfQLLbb85reHkwqiPnN+zvB45/ycgoLpP6e4YOaf56U/imQ+59AJa4bPGe/P8jnHFoz9eVqWtejBgEACszP67zNiqX6hMUKCN11vuVwuFovdbndJjpfdywUCKU0QSOJi2V7G/vAurjd8C9/+/n7C3nn2Z83LBQIpTRBI4mLZXsb+8C6uN3oLX8LeefZnzcsFAilNCOuQ4IU3Ve/b77xLRL/44Jez/WNcuOOd3yv3lCi1OxCDEZK4WLaXsT+8i+gNn6NaLpeD/j/GfB+vPC8XCKQ0QSCJi2V7GfvDu4je+HNUEUjzeLlAIKUJAklcLNvL2B/ehfO2220iip6jikCax8sFAilNEEjiYtlexv7wLpw3fFDQ8fFxuAeBNI+XCwRSmiCQxMWyvYz94V0s75OPPyGi3d3daA8CaR4vFwikNEEgiYtlexn7w7tY3tfu3CkWi6PPUc3r8SKQwOUgkMTFsr2M/eFdIG/4HFXLshL2Mu7PmpcLBFKaYB0SvPAm733pxo1r165//sWXS3K8vF65p0Sp3YEYjJDExbK9jP3hXRRv+KCghw/fS9jLuz9rXi4QSFflrGXdVaKHBmum4/e/4ruHO7pCRKQZe4euL+oSgkASF8v2MvaHdyG83W43fFDQkhxvYl4uEEhXxDusqn9fbTwf+cLzRnWN1Ae2e+a7BxV1dcN6emkkIZDExbK9jP3hXQhvuBK2Xq+P9sEsu3m8XCCQrsRZy7pb2LBaI1HjO6ZGq4Z9EgRBEJw65jopFbtzSSQhkMTFsr2M/eHNvjd8UFC4EhaBxOvlAoF0FTq2oRARKXr1se14F184dcx1ok3LPQ//PJhPE0EgiYtlexn7w5t9b61Wix4UhEDi9XKBQLoyvtt4YhoqkaLvNb1wDHRiG6tUqDbO+0WupZOimU3xEAmBJC6W7WXsD2/GvcfHx0S0vb09qQ8CaR4vFwik2fC95p6uKGr10AuCIHhm6YWRQBrYMRYEkrhYtpexP7wZ925tbcVXwiKQeL1cIJBm5tQx1/uZMzaQxo+Qbt26HW1EFP8jNmzYZGwvv/x9Ivrud18S1OAf45Sb1LMqAmlm/I5dUXohNDyL4bxRLeAe0tRejJDglecN5zJE74Sd1AcjpHm8XCCQZubUMW/3L9lhlt1cXgQSvPK88bkMSXql7s+alwsE0vScuY1/t540XD8Igo5jVVR1p+H1I8d/am2sKPpe0zv3HMvAOiQEErwZ8IZP9Y7mMiTmXbafMxcIpOk5c+0Hav8JDYZpO95g4nhNy9B6X7Wa3oQucRBI4mLZXsb+8GbTy/VU70U5XgQSmB0EkrhYtpexP7wZ9IaPrWN5qvdCHG+KXi4QSGmCQBIXy/Yy9oc3a95wLsNLN25M2QeTGubxcoFAShMEkrhYtpexP7xZ84ZzGR49ejxlHwTSPF4uEEhpgvchwQuvDG84l+G1O3em7zDbP8aMHG+SXrmnRKndgRiMkMTFsr2M/eHNlDd6LsP0fTBCmsfLBQIpTRBI4mLZXsb+8GbHu7+/H81lQCAl4+UCgZQmCCRxsWwvY394M+IN5zKUy+Wr9kEgzePlAoGUJggkcbFsL2N/eDPi3d7ejj+XAYGUjJcLBFKaIJDExbK9jP3hzYLXcRwi2t3dTdgrr/+ieLlAIKUJAklcLNvL2B/eLHhLpVKxWOx2uwl75fVfFC8XCKQ0QSCJi2V7GfvDm7rXsiwiqtfrCXul9l8ULxcIpDTBOiR44WXZXn31B1ddeLTQx4t1SIAfjJDExbK9jP3hTdf7X/7LNSKa5yGqmNQwj5cLBFKaIJDExbK9jP3hTdEbX3g0cx8E0jxeLhBIaYJAEhfL9jL2hzctb7vdLhaL3/pWYc4+CKR5vFwgkNIEgSQulu1l7A9vWt5yuUxEr7zy93P2QSDN4+UCgZQmCCRxsWwvY394U/GGM+v29/fn9yKQ5vFygUBKEwSSuFi2l7E/vMl7w2WwW1tbLF4E0jxeLhBIaYJAEhfL9jL2hzdhb7fbjS+DRSCl6+UCgZQmWIcEL7yzbffeeJOIarVfLcnxZscr95QotTsQgxGSuFi2l7E/vEl6j46Ohp5Zl+/jzb6XCwRSmiCQxMWyvYz94U3MG87zLpVK8WfW5fh4F8LLBQIpTRBI4mLZXsb+8Cbm3draIqLj4+OEvWP3w8sLAilNEEjiYtlexv7wJuN9+PC9sQ9lyOvxLoqXCwRSmiCQxMWyvYz94U3A2263r127Hr0NlteLWXbzeLlAIKUJAklcLNvL2B/eBLxjL9ZxeRFI83i5QCClCQJJXCzby9gfXtne8Amqb7/zriQvAmkeLxcIpDTBOiR44Z1m+3T/s2vXrt98pSTPO9s/xpz9nKfxyj0lSu0OxGCEJC6W7WXsD69Ub3SxTp4XI6R5vFwgkNIEgSQulu1l7A+vPG/8dUcIpGx6uUAgpQkCSVws28vYH15J3nAZbDSzLvfHu6BeLhBIs3Hm2g9UUqsN72Kf7x7u6AoRkWbsHbr+5V0QSOJi2V7G/vBK8g7NrMv98S6olwsE0iz4LWtDIRoIpOeN6hqpD2z3zHcPKurqhvX00khCIImLZXsZ+8Mrwzv6bvJ8H+/ierlAIF0d/6m18aKqrsYDyXdMjVYN+yQIgiA4dcx1Uip255JIQiCJi2V7GfvDy+49Pj4moqFlsDk+3oX2coFAuiqdprmpVeuOtRkLpFPHXCfatNzzsGgwnyaCQBIXy/Yy9oeX1/v5F1+Wy+Visdhut5P0LtvPGYG00PheY0fT95remTsQSCe2sUqFauO8X+haOima2RwaIt26dTu+EdHQHmzYsN26dXt19W+I6OWXv5+YEf8Yp9yknmERSFfBO6zqP7XdsyA4HwykZ5ZeGAmkgR1jwQhJXCzby9gfXkbv6OuOEvBi2vc8Xi4QSFPjt+zK3WrjeRAE0wXSmBHSEAgkcbFsL2N/eLm84Tzvl27ciL/uKAEvAmkeLxcIpKlxLZ3GoVvuyCyG80a1gHtIU3sRSPBGhPO8n3z8ScJeBNI8Xi4QSLMxNELCLLu5vAgkeEMsywrneSd/vAikebxcIJBmYziQAv+ptbGi6HtN79xzLAPrkBBI8F6xj+M4RLS1tZWwNwSBNI+XCwTSbIwEUhAEXtMyNAqf1GA1vcnfHIFAEhfL9jL2h3dOb7fbLRaLxWIxvHWU++PNmZcLBFKaIJDExbK9jP3hndNbLpeJyHGchL1z7oeXFwRSmuB9SPDC+5vfHt6//xYRPXz43pIc70J75Z4SpXYHYjBCEhfL9jL2h3dmb71eJ6Lt7e2EvSz74eUFgZQmCCRxsWwvY394Z/M++fiT8O0SQ6uO8nq8efVygUBKEwSSuFi2l7E/vDN4u93uSzduFIvF6O0SyXjH7scsu3m8XCCQ0gSBJC6W7WXsD+8M3nAN7NHRUcLesfsRSPN4uUAgpQkCSVws28vYH96resM1sPfvv5Wwd9J+BNI8Xi4QSGmCQBIXy/Yy9of3St7w8albW1vZOV4E0jxeLhBIaYJAEhfL9jL2h3d67/HxcbFYLJVK3W43O8eLQJrHywUCKU2wDgneZfN+/sWXL924ce3a9Scff5Kp453tH2Nmf87yvHJPiVK7AzEYIYmLZXsZ+8M7pTd8IkM0kSE7x4sR0jxeLhBIaYJAEhfL9jL2h3ca7+7uLhHt7+8n7JW3H15eEEhpgkASF8v2MvaH91Lv/v7+6Htgc3y8S+XlAoGUJggkcbFsL2N/eMXeWu1XRFQulxP2LtvPGYEEZgeBJC6W7WXsD6/Ae3x8fO3a9XBaXZJexv7wir1cIJDSBIEkLpbtZewP7yRvt9stl8vXrl0ffT6QVO9V+2BSwzxeLhBIaYJAEhfL9jL2h3esN0wjIvrFB79M0jtDHwTSPF4uEEhpgnVI8Obbe++NN+d80VFix4t1SFN65Z4SpXYHYjBCEhfL9jL2h3fUW6vVoml12T9ejJDm8XKBQEoTBJK4WLaXsT+8Q96h1+5l/3gRSPN4uUAgpQkCSVws28vYH96413GccJJ3NK0u+8eLQJrHywUCKU0QSOJi2V7G/vBG3vDZqcViMT7JO/vHi0Cax8sFAilNEEjiYtlexv7wBkHQ7XZfffUHpVJp9CWwuTxeeNlBIKUJAklcLNvL2B/eWq3253/+50RERL/73e8S84Ysz885m14uEEhpgkASF8v2MvZfcq/jOIqiUJ9f//rXyXgjluTnnFkvFwikNME6JHjz4X3jjTcpxhtvvJnv411mr9xTotTuQAxGSOJi2V7G/kvu/fGPfxwPpA8//DAZbwQmNaTr5QKBdCXO3MP39fDKhKJXDxwv/kXfPdwJv6gZe4euf3k7BJK4WLaXsf8ye8P3SnznO98J0+jb3/52u91OwBsHgZSulwsE0vT4XuNfjJ266weB37IrGtG66Zz2v/q8UV0j9YHtnvnuQUVd3bCeXhpJCCRxsWwvY/+l9YYLYKP3Sizu8SKQ5vFygUCaFdfSadWwT8I/+Y6pXfzx1DHXSanYnUsiCYEkLpbtZey/nN4ojaIlR4t7vAikebxcIJBmw+/YlcKG1eolzqljrhNtWu5578sD+TQRBJK4WLaXsf8SesMFsENvOVrc40UgzePlAoE0Ax3nYEcvxAdAJ7axSoVq47y/w7V0UjSzKR4iIZDExbK9jP2Xzfvk40/CxzEMLYBd3ONFIM3j5QKBdEXOG9VCfy6RctdqnQVBEATPLL0wEkgDO8aCQBIXy/Yy9l8qb7fbvXbt+mgayfYK9iOQ0vVygUCaBd9tWFVdIVIMuxMEEwJp/Ajp1q3b0UZE8T9iw5b9bX39H771rQIRra3dTP3DYEt+k3pqRSDNit80NYV0yw2C0VkM541qAfeQpvZihLQo3kvfAJuz44V3Si8XCKSZObGNF9XqYbgUCbPs5vEikBbFu7u7S0T1en1JjhfeKb1cIJBm48y1H6jqA9s96+3wn1obK4q+1/TOPccysA4JgZQ7b5hG4jfA5ul44Z3eywUCaXqeN6pr/fkMmmF+0ojSKMRrWobW+6rV9CZ0iYNAEhfL9jL2z703nkZJeqfcD2+6Xi4QSGmCQBIXy/Yy9s+3dyiNEvNOv39+L2bZzePlAoGUJggkcbFsL2P/HHtH0ygZ75X2I5DS9XKBQEoTBJK4WLaXsX9evffeeHM0jRLwIpAWy8sFAilN8D4keLPsDdPo3lVebrS4xzvbP8bFPd6ZvXJPiVK7AzEYIYmLZXsZ++fPG16pu/fGmwl7Z9uPEVK6Xi4QSGmCQBIXy/Yy9s+ZN7pvtCTHGyCQ5vNygUBKEwSSuFi2l7F/nrzTrDfK0/HCO7+XCwRSmiCQxMWyvYz9c+Odcr1Rbo4XXhYvFwikNEEgiYtlexn758M7/XqjfBwvvAgkcAECSVws28vYPwfeK603ysHxwsvo5QKBlCYIJHGxbC9j/4X2drvdm6+UrrTeaKGPF152LxcIpDTBOiR4U/d+/sWXYRq9/c67y3C8kzasQ5rSK/eUKLU7EIMRkrhYtpex/4J6L32/Uc6OV7Af077n8XKBQEoTBJK4WLaXsf8ieo+Pj0ulkvj9Rnk6XvF+BNI8Xi4QSGmCQBIXy/Yy9l8479HRUbFYLBaLR0dHSXol7UcgpevlAoGUJggkcbFsL2P/xfLW63UiKpVKx8fHSXrl7UcgpevlAoGUJggkcbFsL2P/BfKG07vL5XK3203SK3U/AildLxcIpDRBIImLZXsZ+y+Et9vtvnbnTji9O55Gsr2M/eHNppcLBFKaIJDExbK9jP2z740m1FmWlaSXtz+82fRygUBKEwSSuFi2l7F/xr3Hx8fFYpFxenfGjxfehL1cIJDSBAtj4U3A++TjT65du37t2vVHjx4vw/HCK9Ur95QotTsQgxGSuFi2l7F/Zr3hhLpisRhOqMv98cKbipcLBFKaIJDExbK9jP2z6Q3TqFwus0/vzubxztMHs+zm8XKBQEoTBJK4WLaXsX8GvbVaTd70hxiz3wAAGyhJREFU7gwe75x9EEjzeLlAIKUJAklcLNvL2D9T3m63u7r6N0S0vb0taXp3po6XxYtAmsfLBQIpTRBI4mLZXsb+2fG22+1wevfouySkekMW9+eMQJrHywUCKU0QSOJi2V7G/hnxOo4TTu9++eXvJ+mNWNyfMwJpHi8XCKQ0QSCJi2V7GftnwWtZVjShbhmOl9eLQJrHywUCKU2wDglelu3zL77cfP2HRPTanTuff/Fl7o8XXqxDAvxghCQulu1l7J+i9/j4OLxpVKvVkvSO3Q/vcnq5QCBdiTP38H1dISIi0oy9Q9ePfdF3D3fCL458aQIIJHGxbC9j/7S8v/jgl+Frjer1epLeZfs5wyv2coFAmh7fa/xMNyzH8/vZo6jVQ6/31eeN6hqpD2z3zHcPKurqhvX00khCIImLZXsZ+yfv7Xa70YskonWvCXjF++FdTi8XCKTpObGrHza8fsr4TVNTqFBtnAdBEPiOqdGqYZ8EQRAEp465TkrF7lwSSQgkcbFsL2P/hL3RZbp7b7w5tNJIqvfS/fAup5cLBNLMPLP0gmLYnSDoJRBtWu55+LXBfJoIAklcLNvL2D9Jb71ejy7TLcPxJuPFLLt5vFwgkGalYxtKFDkntrEajZaCIAhcSydFM5viIRICSVws28vYPxnv6GW6fB9vkl4E0jxeLhBIs3HWsu4WNqxWL3CeWXphJJAGdowFgSQulu1l7J+A9/j4uFQqDb3vNcfHm7AXgTSPlwsE0iz4LWtD27m4nzQ+kMaMkG7duh3fiGhoDzZsY7fvfvclIvrP//lP/tt/+7vUP0wuN/xjnHKTempFIF0d7yvTqNruWWzX8CyG80a1gHtIU3sxQhLsj55Nt7W11W63E/POtn9xvRghzePlAoF0RfyWff++2ewM78Ysuzm8CKRJ+/f398Nn0z18+F6S3pn3L64XgTSPlwsE0lUYTqMz196phiHkP7U2VhR9r+mde45lYB0SAmk+b7fb3d7ejuYv5P54U/cikObxcoFAmhq/ZVc0GiI+DPKalqH1HuJgNT1hsxAEkrhYtpexP6/36OgoHBhFTwPK9/HCu+heLhBIaYJAEhfL9jL25/J+/sWX4cCoVCo5jpOYd9l+zvDyerlAIKUJAklcLNvL2J/F6zjOtWvXw4HRnG96XYjjhTc3Xi4QSGmCQBIXy/Yy9p/T2+12a7UaEV27dj0+MJLtZd8P73J6uUAgpQnehwTvb357+OjR45du3CCizdd/GL7NKN/Hm03vbP8YF/d4Z/bKPSVK7Q7EYIQkLpbtZew/mzcaGBWLxaOjo8S88vYvrhez7ObxcoFAShMEkrhYtpex/wzeo6Oj8FFA29vblz4KKAfHm3EvAmkeLxcIpDRBIImLZXsZ+1/J2+12wzeOl0qlcGCUjJexf/68CKR5vFwgkNIEgSQulu1l7D+9N3x5xNipdFK9vP3z50UgzePlAoGUJggkcbFsL2P/sfsdx1HV70UPoHMcZ2trKxwYPXr0WOrnydTf70J4EUjzeLlAIKUJAklcLNvL2H90f61We+GFF4johRde2NvbC5e7FotFy7K63e5S/f0uhBeBNI+XCwRSmiCQxMWyvYz9h/Z3u93hp0wNXqNbqr9feHPv5QKBlCZYh5RX76NHj//Tf/pP8TT6dP+zHB8vvMvjlXtKlNodiMEISVws28vYf2h/vV7/4z/+4yiNbt68mYw3IlN/v/Dm3ssFAilNEEjiYtlexv7RfsdxwvfpaZr2d3/3d0T0T//0T8fHx7K9Q2Tq7xfe3Hu5QCClCQJJXCzby9j/N789bLfb8ZkLiXnH7of3qn0wqWEeLxcIpDRBIImLZXu5+ne73bffeXd05oJsr2A/vFftg0Cax8sFAilNEEjiYtlelv7RW8a3traiJUcJeMX74b1qHwTSPF4uEEhpgkASF8v2ztnfcZzwYXSCha6Z+jnDK9iPQJrHywUCKU0QSOJi2d6Z+7fb7fCZC8VicX9/PzHv9PvhvWofBNI8Xi4QSGmCdUgL5/10/7N7b7wZ3i56+513L3190aIf7/J48T6kKb1yT4lSuwMxGCGJi2V7r9QnehIdEe3u7g7dLlqInzO8gv0YIc3j5QKBlCYIJHGxbO+Ufer1enSB7t4bb47OXJDknWc/vPAm6eUCgZQmCCRxsWzvpX3q9Xo4bWHmh6Jm6ucML7ySvFwgkNIEgSQulu2dVB+uKwonc5dKpXq9PvNDUTP1c4YXXkleLhBIaYJAEhfL9o7Wt9vtWq0WrSuq1+vJeNn3wwtvkl4uEEhpgkASF8v2xusdx9nd3Q3nLGxtbXG9QC9TP2d44ZXk5QKBlCYIJHGxbG9YX6/Xw8ehxqfP5fLnDK9gP2bZzePlAoGUJliHlKL30/3P3n7n3WvXrhPRSzduvP3OuzJeWZSd44VXvGEd0pReuadEqd2BGIyQxMWSvPGrc6/duTN6o0iSV0Z/eLm8GCHN4+UCgXRVOo5tmYZGuuUOfcV3D3d0hYhIM/YOXf/yXggkcTGvt9vtDl2dOz4+XqqfM7yC/QikebxcIJCuhN+xK0p4PhsOpOeN6hqpD2z3zHcPKurqhvX00khCIImLubztdvs73/nbaBp3uKKIsb9gf6Z+zvAK9iOQ5vFygUC6On7T1JShQPIdU6NVwz4JgiAITh1znZSK3bkkkhBI4uL5vUdHR+FL88K5c0dHR7z9L92fqZ8zvIL9CKR5vFwgkGbgmaUXBgPp1DHXiTYt9zz882A+TQSBJC6e2RveJQqHRMVicXd399VXf8DYf/r9mfo5wwuvJC8XCKQZGA2kE9tYpUK1cd7f4Vo6KZrZFA+REEji4qv2b7fb9++/FT7sh4i2t7ejCQuZOl544c2ZlwsE0gyMBtIzSy+MBNLAjrEgkMTFU/bvdrv7+/vRbIVyuby/vx9/j/gk75T959kPL7zL4OUCgTQDUwbS+BHSrVu3o42I4n/EdqVtff0fXn75+//1v/4vYQ5985t/9t3vvvTqqz9I/YNhw5bjTeq5FYE0AxPuIcVmMZw3qgXcQ5rae9UR0tHR0b033ozfIjo+Pp7BK6jP5c8ZXngleblAIM3AaCBhlt1c3ikD6ejoKJqqEN4imn7WXKaOF94MejHLbh4vFwikqxNO+9ZMJx43/lNrY0XR95reuedYBtYh8QXSaA7V6/XPv/hyfq+gPpc/Z3gF+xFI83i5QCBdjfNGtUARarXhXXzNa1qGRuGTGqymN7lJBAJJUBzmUPisuSiH8F4ieCV5EUjzeLlAIKUJAmm0eGg8tPn6D+M5xOudoQ+8efUikObxcoFASpOlCqRut/uTn/zkW98q2LY99KVP9z/b39+PHqkQzlMI7w8t7vHCu1heBNI8Xi4QSGmyPIHU7XZv3rwZ5s03vvGNMJOOjo5qtVq0jrVUKkU5xP55svYPGN6seRFI83i5QCClyfK8D+nRo8c0SHRz6OYrpYcP33vy8Sd5Ol544c2rV+4pUWp3IGZ5Rkj7+/t/9Ed/FKXRH/zBH+zu7kY3hyY1Yfw8Wfs/SnjhzZOXCwRSmuQ4kD7d/yy8Ihc90YeI/vAP/5CI/uRP/mToNhICCV54F9rLBQIpTXIWSMfHx/v7+7u7u9FtofClD7Va7ejoqNvt/vrXv15d/Zvf/e53Uzaf8/PEydo/YHjhzZOXCwRSmix6IHW73UePHluWtbW1FSVQsVjc3t5++513HceZ0otAghfehfZygUBKk0UMJMdxwmFQ/FpcOEGuXq/P9kw5BBK8qXsxy24eLxcIpDRZiEA6Pj6u1+v37781NAza2tqyLKtW+9XoqtWrehFI8KbuRSDN4+UCgZQm2Qykdrt9dHQUXoiLnpgQ3Q2KD4O4vAgkeFP3IpDm8XKBQEqTjKxDevLxJ7/44Jf377/12p078aVCN18p3XvjzYcP33v06LEMb1rHCy+8o9ts/xgX93hn9so9JUrtDsSkNUJyHEdVvzd0H4iIyuXyvTfe3N/fH52PwPV5MEKCN5tejJDm8XKBQEqTBALp8y++dBynXq+Hl+DiE7LHXoVL5RcagQRv6l4E0jxeLhBIacIeSN1uN5wFV6vVhu4AhQOg7e1ty7KOjo5effUHjN7p9yOQ4M2mF4E0j5cLBFKazBlIx8fH4eyD3d3dods/4egnXA90dHQUn4YQkqlfaAQSvPAutJcLBFJqtNttIhq7ejQY+YWIhj5vv/Pu6JW3YrH42p07u7u7lmU5jtNutyf1icjULzQCCV54F9rLBQIpHdrt9l/8xV8Q0de//vWf/OQnQ191HKdW+5VlWdvb2/HVP9GVt3ANUL1edxxH/HzShfiFRiDBC+9Ce7lAIKXDT37ykyhg/vRP/9Q0zfCuz+jQJ5x3EA19cvkLjUCCF96F9nKBQEqHofnW0bqfzdd/+PY77/7ig18yLv0Zuy3h+gl44RVsWIc0pVfqiRGBlA61Wi0eRb///e+HCn6zTP+HNalYtpexP7yL7sUsu3m8XCCQ0qHb7f7jP/5jmEZDLwcKWapfaAQSvKl7EUjzeLlAIKVJWk9qCDL2C41Agjd1LwJpHi8XCKQ0QSCJi2V7GfvDu+heBNI8Xi4QSGmCQBIXy/Yy9od30b0IpHm8XCCQ0gSBJC6W7WXsD++iexFI83i5QCClCQJJXCzby9gfXniX2csFAilNZlv6wLIt4foJeOGFd36v3FOi1O5ADEZI4mLZXsb+8MK7zF4uEEhcnLmH7+sKESmq8VHDPZvmexBI4mLZXsb+8MK7zF4uEEgs+F5jRyWtYrd8v2VXNGXDavmXfxsCSVws28vYH95F92JSwzxeLhBIHPhNU1MUw+6Ef3JMjVYN++TS70MgiYtlexn7w7voXgTSPF4uEEgM+I6pUUG3nvX/PJBPAhBI4mLZXsb+8C66F4E0j3d69vf3LcsKX5ozCgJpfvyOXVFIrTa8/p5nll4gzXQuu2qHQBIXy/Yy9od30b0IpHm803N8fBy+Z6der49+FYE0P+eutUmjgVSoNs4v+U4EkrhYtpexP7yL7kUgzeO9KkdHR6VSaWtr6/j4OL4fgTQ/EwIJI6SpvQgkeFP3IpDm8QbCs9lYut2uZVnFYrFWq100uVILMJbhWQznjWqBJt1DGn0vHwAALC1bW1sXp8ckTti5R8IsO9nIni0DL7zwwjuJdru9vb1dLBaH7iQhkFg4a1l3FWXDbHYCr2kZDOuQZLPov9DwwgvvInrDK3VEVKvVRufaIZC46DhWRSUiUlTDcrwp4giBBC+88C6Zt1arjc5liEAgpQkCCV544V1mr9+y7u5czEdGIKVJioGUFmn9Q0qL3Jw4Mu5Ni2X7OfN6fbe+o2vx2+1Ld0IEAACQNmct667Sn2hXqDbCvQgkAAAAyXPqmOtD6zURSAAAABLHb5paQTOb8QlgCCQAAACJ07ENJf6AmyBAIAEAAEgcv2NXFKVidwZWyCCQAAAAJIzXqKqjz1dDIKWD79Z39BUiItXYa7hTLaNlIHrPOhFpxt5hYuKLD2A/UGl4nC4Xz7EfV3WFKP7OKrmcuY2PDDX8QV/hlfaz4zm29aGhrow5QN893An/zrn/xidJL4ySfr07jm2Zhka65U6o8N2DiqpM8cB9brWsX7aJXt893DM0kvTTFv5VznUS85um9qJh/75pvrPnnEa7EUhp4B1W1YJaOXD9M9d+oCp3rZbkE1YQBIHvNX6mh0+R6P2eKWr1MMFkCPyWtaEQJRdIvudYhqqQaphPkot9v2VtKP0HdnhfmfrKNI9+n4MT21gNZ8+OnASfN6prpD6w3TPfPaioqxvWU6YPMkn6vFG9a1hN7+KEtVZtPOdxBkH/9WNERBNTwX9qbayEk4lZA0mslvfLNtkbHqlasZxOEHSa5oZC62bs/D4fwr/KOU9iftPUVm9vPPjZ4P8jIZCS59Qx1ym6eDr162Xn5sSuftiInmnkN01NYf8nK8J/am28qKqriQVSmH+Kvtec7klOXJw3qoWLp+ueu9YmjVwrZ2f4tcUXO6NPMviLJ0na+by6c/F/Ob5javzB0P/tHR9IZy3rbkFVX5ThnayW/ss21jv0YgHX0qd7rPNUiP4qZZ3EEEiJM/yLxX+amI5nll5IJAhDOk1zU6vWneF3R0kj/J/HhEafg+bw3NR7wO6pY64n8XN2LX04kE4dc51o03J7p+Xpn0M/h3S0gNXY45mlF8YPU5p7urbTcB7rkgJprDqJX7bLvb5javLOJPG/SmknMQRS4nRsY2BkEr7fj3GgPf3HkHGmGIvvNXY0fa/pnY28zFCa0jE1IkV/8E54mVvRd5K7ZeZ7zT29sGE2O757UNE2zab83B+TDSe2sTpwVnYtnZShlR/c0jjjZ1JxMCGQvMNq+NN2rSQDKZFftkmH/JWpq7r5lee37Mq6bn4l55/W4F+ltJMYAilxhv+pjL5wNgHOWtbdwnTvyGDAO6zqP7XdswQPNhwc9G7j96+AJ5j6vnu48yNNLVD4UpIEGJMNzyy9MBJIrKdpcSD5T60Nle+uVZyxZ+fnjerdit3yAwlHKlIn88s2aVB45h7+yz3tRYVWpKXRyF+ltJMYAilxxv9dJjpC8lvWhrbTSObOit+yK3f790ITCySvUVVj1xB8r7Gj8g4OBPgtu7KmVg+9aPJI5UD66GzaQEpshHTWsn6kyZo1M3p2PnPtn+qRLtFASuaXbWwgnbn2A1XdaXinvQm06gObf0rnyF+ltJMYAilxhm8ADv02y8f7yjSqEn5rJ+Ba+tgXF0+es8vByE9V4hlqiHBOVPSPk33u0wQm3UOK/RAGZ1tIkob4XvMj4768GB49Oz+z9MK437OLW2jS1Mn8so0LpI5tKFHy+V5zT1fYg3DcX6W0kxgCKXnSmmUXBEEQ+C37/v2ELiKNIbERUpgKsZOvrLvro4QXcGIJ5Fp6Aoc8Lhtkz7KbFEi+e3Df+Ejm5MZJ16/iHyyxEVIyv2yT7l3FE+iZpRd4j3rCXyVm2eUIv2VtKOEF345jVZJahzSaRmeuvVNNaF5DSII3zHpLNB7Y7lngt+yKltj87/4t7r2m54dqUqVfIB05N4V7n1obK4q+1/TOPccyONchTZQOn8L8ln3/Z8wXAMJZXoLVXfICaaw6gV+28d6mqSn9+5ThqnPOVV+Cv0pJJzEEUir019AR9Re1JeBs2RVt+HpG0tPNk53B4TWt3iL2RB6XcEHCT2rwGlX14u906DR88UPQwkWOUqXhIxKGf8tYLwCcN6qxa3MTfpfkBJJILfOXTeCV96SGy/4qpZzEEEgAAAAyAQIJAABAJkAgAQAAyAQIJAAAAJkAgQQAACATIJAAAABkAgQSAACATIBAAgAAkAkQSAAAADIBAgkAAEAmQCABAADIBAgkAAAAmQCBBAAAIBMgkAAAAGQCBBIAAIBMgEACAACQCRBIAAAAMgECCQAAQCZAIAEAAMgECCQA8kTHsU1DXdGtZwnIfPdwz9CIiEgz9g5df0yJ59imoZFuuQl8ILDgIJAASILzRrVAIYpaObg4d7uWThGblns+h8Tv2BWFiKiQRCD5TVMraGbT91t2RSOlYndGEik6bAQSmAIEEgAJ0ouflQ3raezkfeqY64phdzgM541qIZFA8h1TI7Xa8Kb5QFIDyW9Zd3ca8yQ5yAgIJAASxLV09bauKkRr1cbz/t5z19osVHlOqYkF0nmjWshAIPlufUfXDPtETnuQKAgkABLEtXTdarWsDYVIuWu1zoIgiAWS16iqF9fuoqt5uuUGZ27DquorherBfxzs6AoRaYbV7Lj1HX2FiEh9YLtnQT+Qblf/tXd3R9F3ops7nnNQ1RUiohW9+qnj+YHn2I+ruqK+Yz2uqAqpOw1v6LJbeFNKGbxR9MzSC3TBaCyduY2PDFUhUtR793SlH0i+29gz1N6Vy/CDxVuFVyz7e3TL9ZqWoRGRolf/rWrsjFha1l2l/81ciQ5SBIEEQIK4lh6mi/1AJeoHQHyEdGIbqxc3kzq2EZ7No3AKz+P+U2tjhRRVf+eJ4/l+y9pQKLzod96oFkhRDcvxfD+MqzD5/KfWhqrv1F0/tCtq9cCu9tNh418PDx6oFxkZctay7irKhtnsBEGnaW4opKjVwzAWJo+QfK+xo5JWsVt+77vCQApvca1VG88D77CqKr0MCW9BxVr5jrmm7zW9/+GY68qG1fLDT/JgJJCC8GonaaYzZj4FWDwQSAAkSC+Qgovze+XA9eOBFA6S+oEUv97lWvrFOODctTaJ1k3ndKhs6JKd75gaKZrZPHdMLZp34DdNTSGlYnfOXGuTaHX8JS+/aWrKxc2tMAX70omBNPRdUab24i38DF6jql4Majq20Q/UIDh1zE3DPglrFH2vOTxoG3IVNLOJPMoHCCQAEuQikKLz+4pu/ndnxkDq58HkQArP9YXqb59ZmzTMpuWeDvQZ/bQDl8JOHXM9Kp4YSK6lxz/A8D2kM7fx74/DK4cXrZ83qmu9eXp+01y7b3f8/kiLiDTD/KThng2Lekc3xX0ssCAgkABIkHggBUHvyhWpuq4mEUhjbrOcCwLJd0xtIJAGiicFUjQm641aYp8tvISo6NXHdsOOj5AGR3JrFxMOfc/5vJdeA9NAel/t2BVl7HRzsJggkABIkKFACoLw9k9stBCOQtgCyXdMjVYN+/+9uH8Tqd3f/947E42QBq6k9T9bPwAmjpDC7+rd+4l/thPbWO3f7xm8ZBf0x4vaz6wPN0evH/ruQUVVRqbqeY2qyjVdHmQBBBIAyeE7pjZ8B743waF/cg7v/K9sWE993z0M59MRkW61HFOj+I2W9eFA0kzH7w014pMaetkQnvFVY6/h+kEQeE1r54njD/YZJrzr05un57sHFXW1v4Iq/Jxjbz49b1TXiFZiEyjCOXr/+9b/ViD1ge2ees6nVX1lcC1tf1XvxU6vsfOgN8nCO6yqynD2+E1Te9Gwf98039kL76WBBQeBBEAyxOc3D60T6jTNjZVotOB9ZfZmcles/zioFjTD/OS31oOLeda6afVnxxGp1d/a1YvG1cZ5b4L44ETtIBh40o+iGh813HYj3md8JnWcg34qKnr1wPGGj2XchOuLKF3R/+V9o7CiV62G67mH7+sKEa3oOwf2h+vUD87edw2njtfYMaqPP+xNH49X9ixNU1u9vfHgZ2MfWgQWEAQSACAjnNjGGpa4LjMIJABANujYhja6MhcsEQgkAEAWOGtZP1rDiqLlBoEEAEiTcHL55BdYgCUCgQQAACATIJAAAABkgv8fnj4iGCDbFvIAAAAASUVORK5CYII=" alt> <span><em><strong>(A1)(A1)(A1)</strong></em> <em><strong>(A3)</strong></em> </span></span></p>
<p><strong><em> </em></strong></p>
<p><span><strong>Notes:</strong> Award <em><strong>(A1)</strong></em> for <em>x</em> axis with correct scale and label, <em><strong>(A1)</strong></em> for <em>y</em> axis</span> <span>with correct scale and label.</span></p>
<p><span>Accept <em>x</em> and <em>y</em> for labels.</span></p>
<p><span>If <em>x</em> and <em>y</em> axis reversed award at most <em><strong>(A0)(A1)</strong></em><strong>(ft)</strong>.</span></p>
<p><span><em><strong>(A1)</strong></em> for smooth curve.</span></p>
<p><span>Award <em><strong>(A3)</strong></em> for all 6 points correct, <em><strong>(A2)</strong></em> for 4 or 5 points correct, </span><span><em><strong>(A1)</strong></em> for 2 or 3 points correct, <em><strong>(A0)</strong></em> otherwise.</span></p>
<p><span> </span></p>
<p><em><strong><span>[6 marks]</span></strong></em></p>
<div class="question_part_label">ii, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>15 (±0.8) <em><strong>(M1)(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em> </span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for line drawn shown on graph, <em><strong>(A1)</strong></em><strong>(ft)</strong> from</span> <span>candidate's graph.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">ii, c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">It was clear that the candidates who performed poorly in part (i) lacked the basic knowledge</span> <span style="font-size: medium; font-family: times new roman,times;">of chi-squared analysis. Some mixed up the null and alternate hypotheses and also were not </span><span style="font-size: medium; font-family: times new roman,times;">able to correctly demonstrate the way of finding the expected value. There were many errors </span><span style="font-size: medium; font-family: times new roman,times;">in finding the critical value of \(\chi^2\) at the 1% level of significance.</span></p>
<div class="question_part_label">i, a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">It was clear that the candidates who performed poorly in part (i) lacked the basic knowledge</span> <span style="font-size: medium; font-family: times new roman,times;">of chi-squared analysis. Some mixed up the null and alternate hypotheses and also were not </span><span style="font-size: medium; font-family: times new roman,times;">able to correctly demonstrate the way of finding the expected value. There were many errors </span><span style="font-size: medium; font-family: times new roman,times;">in finding the critical value of \(\chi^2\) at the 1% level of significance.</span></p>
<div class="question_part_label">i, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">It was clear that the candidates who performed poorly in part (i) lacked the basic knowledge</span> <span style="font-size: medium; font-family: times new roman,times;">of chi-squared analysis. Some mixed up the null and alternate hypotheses and also were not </span><span style="font-size: medium; font-family: times new roman,times;">able to correctly demonstrate the way of finding the expected value. There were many errors </span><span style="font-size: medium; font-family: times new roman,times;">in finding the critical value of \(\chi^2\) at the 1% level of significance.</span></p>
<div class="question_part_label">i, c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">It was clear that the candidates who performed poorly in part (i) lacked the basic knowledge</span> <span style="font-size: medium; font-family: times new roman,times;">of chi-squared analysis. Some mixed up the null and alternate hypotheses and also were not </span><span style="font-size: medium; font-family: times new roman,times;">able to correctly demonstrate the way of finding the expected value. There were many errors </span><span style="font-size: medium; font-family: times new roman,times;">in finding the critical value of \(\chi^2\) at the 1% level of significance.</span></p>
<div class="question_part_label">i, d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">It was clear that the candidates who performed poorly in part (i) lacked the basic knowledge</span> <span style="font-size: medium; font-family: times new roman,times;">of chi-squared analysis. Some mixed up the null and alternate hypotheses and also were not </span><span style="font-size: medium; font-family: times new roman,times;">able to correctly demonstrate the way of finding the expected value. There were many errors </span><span style="font-size: medium; font-family: times new roman,times;">in finding the critical value of \(\chi^2\) at the 1% level of significance.</span></p>
<div class="question_part_label">i, f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Candidates found this part rather easy, with some making arithmetic mistakes and thus losing one or more marks. The graph was well done with a high percentage scoring full marks. Some candidates did not label the axes, others had an incorrect scale and a few lost one mark for not drawing a smooth curve.</span></p>
<div class="question_part_label">ii, a, i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">Candidates found this part rather easy, with some making arithmetic mistakes and thus losing one or more marks. The graph was well done with a high percentage scoring full marks. Some candidates did not label the axes, others had an incorrect scale and a few lost one mark for not drawing a smooth curve.</span></p>
<div class="question_part_label">ii, a, ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Candidates found this part rather easy, with some making arithmetic mistakes and thus losing one or more marks. The graph was well done with a high percentage scoring full marks. Some candidates did not label the axes, others had an incorrect scale and a few lost one mark for not drawing a smooth curve.</span></p>
<div class="question_part_label">ii, b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-size: medium; font-family: times new roman,times;">Candidates found this part rather easy, with some making arithmetic mistakes and thus losing one or more marks. The graph was well done with a high percentage scoring full marks. Some candidates did not label the axes, others had an incorrect scale and a few lost one mark for not drawing a smooth curve.</span></p>
<div class="question_part_label">ii, c.</div>
</div>
<br><hr><br><div class="specification">
<p>The weight, <em>W</em>, of basketball players in a tournament is found to be normally distributed with a mean of 65 kg and a standard deviation of 5 kg.</p>
</div>
<div class="specification">
<p>The probability that a basketball player has a weight that is within 1.5 standard deviations of the mean is <em>q</em>.</p>
</div>
<div class="specification">
<p>A basketball coach observed 60 of her players to determine whether their performance and their weight were independent of each other. Her observations were recorded as shown in the table.</p>
<p style="text-align: center;"><img 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"></p>
<p>She decided to conduct a <em>χ </em><sup>2</sup> test for independence at the 5% significance level.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the probability that a basketball player has a weight that is less than 61 kg.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>In a training session there are 40 basketball players.</p>
<p>Find the expected number of players with a weight less than 61 kg in this training session.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch a normal curve to represent this probability.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Find the value of <em>q</em>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Given that P(<em>W</em> > <em>k</em>) = 0.225 , find the value of <em>k</em>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>For this test state the null hypothesis.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>For this test find the<em> p</em>-value.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a conclusion for this test. Justify your answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>P(<em>W</em> < 61) <em><strong>(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct probability statement.</p>
<p><strong>OR</strong></p>
<p><img src="data:image/png;base64,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"> <em><strong>(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct region labelled and shaded on diagram.</p>
<p>= 0.212 (0.21185…, 21.2%) <em><strong>(A1)(G2)</strong></em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>40 × 0.21185… <em><strong> (M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for product of 40 and their 0.212.</p>
<p>= 8.47 (8.47421...) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></p>
<p><strong>Note:</strong> Follow through from their part (a)(i) provided their answer to part (a)(i) is less than 1.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p> </p>
<p><em><strong><img 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TyuYcZcrjjnKxY2JOdznAe5xVgbPbO9sTjw23W6bMVaPqwZEvyar/8NGthXzmxwllx+2WWybXu4nzX6U15kGNRl6JHWj+Dpz2dd02egZKdkyqTx4xN3wcOwcQ0BnL7GgIOPJWKWgzFROvIZ4/JxXHVgXHUR45w4PnAxFj7mYp2xrFsM8yjOZ1sO2MCzvV8OSoXUKnL9DUOkes0akt61n+zcuZNLB72MdyAM6jL0AO///nvpmd5Ttm/bLrfeNFVOrFTB+U96PWU7RGwbMChcWI7ZPJdta2EYubDss3lcFzH2aa7lBo55Vbd+y2PxyWyuCy72ab61XZyaa9d2opyQ+KROlYrV5KZJN8mevbula7du8u23e10UwVcGOxAGdRl5UA8ePCijrhshG9/fKFOmTMn3yyx8ir4hYjEYKnZoKA4xzonSLR5riMpxxZhHdbu2uLyuPOZ21WafC4valpvzonQXJ+PBW6lSBZkwbqJ8vG279O3ZV/RfUeEo+x0Ig7qMPMb33HuPPPu752TC6DFSq3atxFlheKgBnQcCfL4WYDggrrnJcoBlGSeH14Vclw8xuzb1A8/14IuTBwykqwZiPmnrAQcuXhvHVEfMxwF8ndq1ZNyUCbJi5crEDZwOIhBkme1AGNRl4KHVe0pPnXqbZIwfLWf94szEGWEw4PR482Mg8Bta8CkeWEjE7Mfa4EcNKxHnOhYDG1jYkOxn3a4NeJWIsQ+6jTEnMJAWC39Ujg+jXLZ/ilUu1IEEh0/qvazr164n428cKw/MmiWPPfCADxr8ZaQDYVCX4gdS/9n7yiuvyIQxY2Rw//7StGET0U3Mmz/q9PjTDzwkeBAxl8Ww7aqDOOrAjsJyDLU1DzrHVXdxMlZ1xrHNOMUglkggm2vYHGBZWgx4mQf1rI95fHqCXzKlYcNz5Prhw2TCuHGycFH4/UVfv8qC/wfZ2dnZZeFEyuM5fLB5i1zcqqW0aN5Crsn9rLRrSGAY2JirZz6McriuCF0c6issXuvqlbdKHFiLlYizBIZ9cXXfWuNwRmGUV+OMYZ3XB39R1rJwwUJ59dVX5Y233pSmTZowbdDLSAfCFXUpfSA/2fGJXNnxcqlXv74M7Ncnb8DpRvcdHNPB4DoYw/G4Qxq8GDzMAR0Y2Cq1rvo5hrVYyXmq+2pZPmCRj1q+fOBYIgdr4hh0YCCB9dVhf9w+o5bKfr16SJPzmyQ+Y719x8ccCnoZ6UAY1KXwgdyzZ49cM3iAZKemSMbw6xNfaOFhoKcE23d6UXEMGOTyIIEPkrFROMajNucijpjaiKsPOnBxJfNxTpy1Mh46+LAe2IirdPk4Dt3FETeXOfTlrhHXD5VatWpIj/CxPbSmTMkwqEvZw6mvS48Y8Vt5f+MmmTx+klSqWiVviPHwcQ0Be6rAWD9sHRrMCT+kjUUNGdSKwoDXSlxl2ty4nJwHHRK1wAXbJy3O2sizfrVtTbZVtzngckngwXHCiRVk/Nib5PNPP5ee3XuHj+25mlaKfWFQl6IHT4f07dOnyYsvviATJ0yUGjVr5Buk2LTJTgkDIRneDhfkgZ/zgbUYxSLmyoMPkvPBD4mYSsvJMXBBIqY2dMsJGzlxpSvPrk25XDiugb+MsD6OuXQXrkbN6jJx4mRZtWa1jBlzg4SP7bk6Vzp9YVCXosdtydIlctvU22TkyAypV7+ed+W8iVnXBLWTDQ1L7MMzt2IwbHz5wEO6eK0PWB8n/MiL81FAzVFe/aN5yAVXlEyGBSdquLhc5wReSFdeMp/m1q17umRcP1IeenS2/G7evGQpIV5KOhAGdSl5oNauWSt9+/aX3j27S7NmTfNWnWxjc5yHSB5BruIaHsAgxlwaY9vFjTzwMF59Ng4fcOCEbePghZ8lx1hnLvixDkj4XdKFYZ+Ln3kUazHIh2R8lG55FHsoU6Rps6YybOBAGTB4sKxZvTqKIsRKSQfCoC4FD9QnO3ZIev90uaBpM+nSpWu+Fbs2t2sDa5LLj3xXjAspDlj2a576Xfnsc+Uyj+rgARb5art8yEcebEjkw4a0XPAr3scFjJWFxdt8tlGffar7akSdR5t27aRdm7bSpWtX2b5tq6UMdinrQBjUJfwB00949Ok3QKqnVZMbMkYWerXYzK5E3wBwYdXnGnwuDldNm+vKsxisw2IV58MixyWxLl8u6gDn4rC51rY5yeKKZwzr4HL5EFPJ62X92iHXSp06dSS9Ry/5avduTgl6KetAGNQl+AHTNw9HjfitbN78gYwcnZF0pbxJFax21CbnmM1NWiwXwHnMh3wbh61Y6C4sfC6pr4Xr4arHeOZXPQqfLA5e5oTPJ3GONse3DosDL/y+PMZZzNixo+WTTz6V/gMGybf79wMaZCnrQBjUJfgBm/HQQ/LM756TyZMnSM2aNZOu1G5Sa4MAG5/tuG/CIQeSayiv/oGPdcXbNxuBc3HB55LIw3nAtlif3+LULgzWlY+1IMY2c6uuMY5rjtqIgcNKzgEeGGvDX6VKVbn55smyYsVymfXAfXAHWco6EAZ1CX3Ali5ZKrdMmCCjR46U+nVzbrR0NJbq2tB2QPBgiVOTBwjnsu6qizxbv7A1Fe/iLwoPuFRi/Vgn+5jbVRu5jGOd45zPfuCtj/E+jPqx7rp160rGyOtl0i1TZeGihUgJshR1IAzqEvhg6Zs/gwYPkis6dJbmLVokbhqPZWLzwXZJi2Ebm559Lo7C+MAZlaMY1ISOPFxpIx7F44ppHu4T4uJQH2ohHziX3/rYRh544kibY+3C8Gsu4331gUtgM0Wat2gpV3e+SoYOGCpb3v8wfMba17gS6g+DuoQ9MPpTWh27dJP69RvI1f2651sdNl8+pzEsxtoG7jQ1Rw9IJ8jE7fCwubwOO5gxZC0H6rr88IEX9eBHrpUaRw7HovIRc+UxB3TgYfOa4nJoruVJlgs84xK9lszEX2S9+vWSs889W7qkd5N9Oz/F8oIsBR0Ig7oEPUj65uHgQYNlz96vZPi110il1Ar5VscbHgGXDzGVyeLY3K6cqFweBprr4kF9YMFnJeK8hiida4HLhQeOMa5a8CkOOeBDTG3mQdwlgYMEB6TNsTURR77ayFUf8JAcV53zoOMvx+HDhiXou/boI/sjbuCVAIX/lZgOhEFdYh4Kkdun3S4rVqyQMTeMkeq1aufbcL5lYrNiQ/pw6gdWdeAhOQ84Vwy4qBgwKpULWB0WeqiNGoz16YxlPotnHOpYjLWZj3WLY764dYDT88WghI/50R/2WR0YXiN8vDbO41rAVqlaVUaOzZD33v2LTBpzA8ODXoI7EAZ1CXlwFi9eLLfddpcMGTJE6tWtmzfc4i4PmxIbkvPixIDnQYA8xFzSYmC71gEfhhbzIY99qqsfeTamtsaQ68IhBglOcLlyELNSOfRP3ByuiRxI5o7DyVyaa23mg45P8ljsGTXryI03jk18zXxu+Jo52lWiZfjhgBLw8GzbvlmaN2slbVu3lfRe6YkVYfPqxraDDTEFsu6yC3N6lotzfTFdn8ZsbRfe5bN5XJNjqGM5rI189evhGozAuKSPD1iOQ4cERuWR+JLxcBy6qx5iVqZKauIN6iVLFsuLL7wkb7/9RzmnUSMLC3YJ6kC4oj7OD8bOnTulU6ceUq9uPbmqV+e81WDA2CGtAMTywKQgphs3zsE45MbJAwb5dlBYLsTZj1z2gddKFxacLqxyJuMFJ+f7coDlOHRI8LjWZX0uPs1nP+fAjxrJpMWznSk5Py6htyM4//wLpGOnjvL5p+HNxWQ9PZ7xMKiPY/f1m2I3jBgle3Z/JSMzrpcTJP+bh7q0OEOgsKeQb9OaN5RQjzFx+JGnWM5lP8cUY2Nx6vi4lQuxOLyu+sjXdYADPtiuNQKDWBQ2LobXxzryVXJdW5NtX75yDB92jaRWqCB9BoVvLnJvS5oeBvVxfETuuOs2eeX1V+XmKZNFv0FmD96IiOkGdPkRt9KFdW1i4CAZYzmjbM3nXB8fMBpnDPSoGq6Y618eLpz6tAbXV519wFifj+9I/agDafmwVva7sPCpxAGf2uyHXalS9cQPULy7bp3cMv5GpAVZwjoQBvVxekAWLHxe7rv7XhmZMVxq167t3EQYIHGXyBsRmxsSHIxRn8Z9Q85iwWEl43z1GGPzkeNaB2I2BzZ4GQcfMJDwA6u26pDAJZPgicJZDGpqjivmWoPFMQbrVj5wq7Q95DcUgcO61db/atesIePHjpcH5jwqs2fPRjjIEtSB8GbicXgwtm7eIi1atZTWrVtLv179Cnzz0G4oXiJvVvVbm7FWd2Hhg0SO2vgiSlQdV55dv8VwDYtFDBK5ilPddwCncZfOPh8H+314l9/lY644OjjsecJvOVx+9rGuudZ28S1c+Lwse+ml8GvmtjklwA5X1MX8IOzauVO6pKcnvnnYp1d65JDWzaUHhlmyzeY7FcvDOHBDagx1kMd46IhxnsZwBQcelcBAImZt9fsO1LNx+LkueDUGHZLzkas+q7vwnBtXZ16uo/w2xnHornVonvXDBz+kj8fWTpFM6dEjPfFr5j16dg9vLmrjStARBnUxPhj6zcMbbhgje3Z9LtcOu1ZSJOcLIFiCb3NhU3EcOckkNnAcHDBx6vgw+k9vHMBg/ZAaR4yxHIc/SvK5FTbXtQbUsmuDn+vBF8XDGNU5n3WLs1hXnH3MpXqcw55jln5kLzNThg4bLIe+3S9DrxsRfiA3TiOLCRMGdTE1WstMm3anvPjSizLx5ilSo1p1EdpT2GzYaHYjaT5ivORkOI678uFLhuOaVgeH+pkHOOuzeNgW5+IDVqULrznAcBw+rAkSfsYyB3BREhwWo37mZR057LP5bAOvPptjbc5z4RHnPOgVKlWSKbfeKqtWrpSJEycAGuRx7kAY1MX0ALy6fLlMveMOuX748MSvbrg2sX0jCEvDJsU/72EjztLyFgarPLphsWmjcrkm8PBF5dn1+c4ZXFaiFiTi4IWEX6XL5/NbXubhmHLiYD98vpqIIwc8sBFn6eJCHuNUZ79PRw7H4VN5eu2acn3GSLn3gYdk4YIFHAr6cepAGNTF0Pgd27dLv169pHP7ztKyRatCVdTNhE2MlxUwsJkImw5Y2C4s8oCFrRJ5qrvijGU9Ko9jnGNrMI51m4OYrs/qds0atz7wsR88kBxTPPzQbRyckDaOdTAPsOBUafNcPnBxPjiQD4za0C2ebaxLpf5AbvNmzaR39+4ydOh1smXLZoYG/Th0IAzqY9x0/c3Djl27Su3TT5fuPa/K9+Yhl46zmXgTIhcbDDH1MxfiwEfJwmCjeGyM12Zjrpqu9YODY76rcRenrQsbWPDDz5Jrsh86OGCrtD7lj1ov6iMPNnNCd8V4jaxH1QQfS3Cr1B/GPfu8c6Xj5Z1Eb78bjuPXgTCoj3HvR4z4rXz+6ecydnSGnHDi4W8eYkNElceGU6xrAyMODuDicCMHvGoXJg/5Ryr5ih/1IXlNuk7X+XJ9nAvnc9zqlg9x8MC2fGz7OCxGudgHbl++XQPwLBmDPoJPa0HnHNVdftfaFDt8yBD5PitLBg8YLAcl/Oai7WVx2WFQH8NOT7v3TnnxxRcSb8pU0zcPcw/eYPC5JDYPbyzkJvO5+Fw+1LAx1LH+othRXIhBMr/6MHDU71urxoBFfhQWGJdkHt+akMdYrmfz4sSicrgedJXKizxIxNXmuuoHxudnDPirVa8uE8aOlRUrV8gdE+8CfZDF3IEwqI9Rw1euXCNTJ06VawdeK/Xq1UtU8W2UOEtALrB2s6kfGMRgIyeZBF4lOJLlRMXBl4zLVQ8+SNQBp7VRA3FI+IFPJhnPOvjslSv48P6B2pynNnJV2hjiPj/4fbmc58OAg7Goq9J3TuA7o+4Zcu3Ia+Xu++6WBQvmgy7IYuxAGNTHoNnbt20T/TJLmzZtpV271okKeNIXtpzm6cGbzOVjjC/uqo11QTIP47k++3068/k4fbnq1+GB8wAOnLoWxOy6rK25wIKHZf8KM0sAACAASURBVGHxGMg83JTPxYM6iEHCrxLnBB+vVfGwXbnIh3RhkA9+SK7rOydglbd109byqwsulN+OGCVbt25FKMhi6kAY1Ee50frmYXqvPvLZF5/Jry++KPEOupawm4g3StQSovKwCS2G+YBhH3SsAZL90KOkzQOW/arrARm1VuQDz1jmLMwbZJzH/Korv8axNldd5GAtkHa4IRd4l+3zIce1VtQDhiXjGcfnw3ifjtyoczqQeUCqVK0k33y3TzqldxV9nusXuMJRPB0Ig/oo9ll/g27S2Btlx8fbpWJamlTIPjEfO28g3RxsMzDKj03FeNY5V/UofFSMOaEzt/p858C8rGuO5QAPargwOA/U83HiKhdcyIPtk8wH3bVO9rlw6nNhuC7y2AcdMUhwwQYO0uXXHPVzjPWoXOBQF1iVlRN/4abKlZ2vlJTMLBk0eLCk0GfJGRv0o9+BMKiPYk8fue8+mb9wgTw272mpXLmyZKZkJd24trzdZBrHxsFGsjmI8yaFbrFH00Zd5XStjeOFqctcfB6su/i4nsVyzJXLPpurMfh0bcxldbt25DJ/Mh2c4ILt4+I456jf9xKSaw2KRz5qqa1/shJDOVNOOeUk+d1zv5OVy1fIxImTXTTBdww6EAb1UWrqyhXL5dZbb5dpM2ZIywsaJ1hTs1LyPfG5FG8unx8Y3SisWzw2F6TdcPBzHnTwwi6M9PGCM+4VLvDKB13XobqtgTj7WXfluXhwnuBj2/IhptK+7AKsqwZikODhmhxjv2KtrT4XHj5I5KrNHNAZx2uyeMTynXNKqjRs2FAeeexhue/ee+T1V14BLMhj2IEwqI9Ccz/eulXS+/SSYUOuTfzJ1AGtvCd872TXDePaLBbMGOjYbJDway58lgd+xlrMkdqowTzsU91Vn/35BkKSocTctibXYX7GQVcsc1mbcaozN+yoGsyteIvluOVGbUhgsUaLRxx4lrYuYsixXBqHDxI5KtPTe8jY8WMlvUcv+Wj7R+H1am7OMdDDoD7CpurPafW4ZqDUr3+m3HTbbfnZ/nNiviGAoOuJjxhLbCL1sa42OKzfl+/iYOyR6liPjwdxu174NY918KhPc1wxxTCfxVkbnCxdmLi1UN+H17iNse2qzWvz6TZP7aIclkc5knJlHX4DccrNU6R5i+bSu2tf+WrPnqIsIeTE7EAY1DEb5YP9duhQ2fn5DlmyaJFUqVQpB5aVKWm5m4c3JjiSbga68tL8qA1lX15AjbjStT6XT/msP855xF2H4lx8rnMHJ8dYB5euV/+4eBkDPkgX3vLbXjCfKx/chZGuGjaf18V1XbnWZ23msnVy7FQ5lJWWF9I3E5955hn57sA+GTp4aJ4/KEe/A2FQH0FPb71zmrzw4kuycOFiqVWr1mGmFL2xTab85wfulz7sBjmcmKPxhrEvBwALjqjNCQxy4krm5BzrZ34b47yi6D4++FWiPuuoFRUD5mhLrWnXgvVqLda5NtZqMcBzHHmIxf2LGmtDHtdCzFUH9dJyL9rTUg7BlZA1atSQF5b+TlatXiWTx4XbouZrzlE0wqAuYjNf/f3rctcdt8gjjz0ozZo1zc+SlZm41fQJ2e6XPgDWTePaHOxjHXkqecPBb32wXRyIWalcPrz6Oaa5akNyDGuCRB2Lgd9XV/0uDAYU12Yc6h4t6Vu3qybWBIlzsBxYGzgYjxhyVXI+dOTaOPuZC3ns89UFRuN6Rz3JeecF7jzZsME5MufJuXLXvffK4iVL8vxBOXodCIO6CL3cum2r9OndS8aOHCu9evUryJCSmveU9m0MTdIYNlQUzhbwbSwXh+a6agBrpa0FGzhwYQ2QvjrwIx981s+8GmM86xYHPvsvD+AQt7atAVxciTVBIk/rqA8SfotTv/XBhkQuJHO6zseFYy6bwzHNtXHwscw6IfflPXaKyBWdOshdM++Qvr17y8YNG000mEfagTCoC9lBvd1j1y5dpGnz5jL+pknubL2iThU56HjpgzebOznHa3G8iXSDse3jsRvR4uJwIMdiLTfHWdd8iwUn+6FDAmOljcOGVLzWZ9tyFMa258K5NsZ1EdN1QOdc1ZP57TmorX8h6YF/UVgeXgPHrD9BQmtAHDV5bfDpTxKl/Md/B70xw2+QDh06SJf0TrJ7Z7gtKnp8NGQY1IXoon5ldkD/AZKSmibPPfvM4TcPLUdKauJfifabiRbms7FpELe2+g9vHqD8G18RvPFgx+VAfcW7eOx6LC9yXPmMBe7wGR3WXDH2gUd90CEPs+RonGdj1mYOm2djbEOPutIHBjUtP2zg1GYdefDBjiuZDxyoyRyHfZki+tz2HPrm4lNPPy21a9WR9F49ZX/mXg8yuAvbgTCoY3ZMh/TEKZNl7bq18szTT0u1atUiM/UlPf1mou84/OTPQbCNTYNca6sfeEj1ReFcMfBDKlcUDkMnWU3wqWRO5Ns4bF9t5gDW+tR2+YBnyXU0J86RjJs5mY/9loNxyWI2rjYO1rkex60ffPAzB2LIV0zONwNSRejjeYiz1E8+LVq4UN5/f6OMvW686G0VwnHkHQiDOmYPn1+0RB54YFbiTZNzGjWKzsr9eF7KoUN5AxUJ2BiQ6rcbAz7kWMl45onC2ZjaNpdt3rjwW8mcjGcdOa566mMsdORYm/HA8BrgQx4kY6yOHOu3NuOUl22LVdvWduUwBnyQysG6rYGYi5exvjjyXS+lIAYe5dBfKdd/JvLH8xC3ss4ZZ8jLL78ss+fNkecWzLPhYBehA2FQx2jaylWrZdCg/jLt9imJN02SpqSkJr6plZJaMd9mw8aEBI/dGPC7pG/jWSzjbD3Fak312xhsuyb4bR3YFg8/S8uhtuZhLeBQP2Kcrzow1s/cwPDruBYf1wYvOH3rsnyM1xhs4Hw8qGelzQeP9SPPxq0fNvJhax50jakOjL5GbT+ehzpWNmvWTB5//HEZMfQ6Wf7q6+HXYWyDCmmHQZ2kYdu3bZVr+vWS3t17y/XDRyZB+8P8hD/8xM/BY2PYbBcOPvDZXNgYUsBpHmJcB3zqA5bjLr+Lx+VjHh+3YlwvifC6sAbmsz7GYy2QNg+2xl0Y5oIOHGxwWAkc/Iz36cBCKgewkBxTXf22FvwsVWc+tfUAr+VgbMHHpXAvY1zTr58MGTJEevXrI//Y+s/cykEUpQNhUEd0TT/hofcyaNDgTHlwzv2xb+uYeeiQpFRMlYPfH0yw65Mfg9NXDhsHcWxE3kjMofGCGwnZh6+K4InCKoY3KGraNYGL/T4sY5AHqTGuF4X1rU39vjz4sTbUdUlgORaVx+vWHMbaGDiBsdLmw9Y16R/gmQfr9T2eyIHUXBcXOMHHtV2xvNeoI95MRB7Lmfc/KC1btpJ2nTrKrp07ORT0QnQgDGpPsw4ePCgDBgySb77ZJ/Pnz5cK4v78qCs9NS0t5yY1aTnt1c2gG8t16IbSAaySN5di1bYbCRw2Br/Fw4YEDhI1XfGomOKj1qAx5KMWJOe5MOxjrOa71ql+zkEdHxZxn/TlYS2oBRs8rjyLARbSlaMxm2dtV57FoIbPj7itp3g9UENtvEad7M1E5oT+1FNPSrXKlSW9Rw/5dn/4JAj6UhgZBrWnWzdOulHWrF4tL778u/xfD/fg2Z24opbUfD8cgCc947CB7MZgDOvAqU/52AaOfagJH2zFunzgsBJY9quP+RBjrCsOHKTFMC/rwLukC4d1WH5XvvX5+CwXbNSyPGoD44pZn63LvJYHMcioWprLONRlH/9rzcYP106N/Hge8qzUT0jpvXC2btkqvx08yoaDHaMDYVCbJunH8B6a9ajMfnS2LF66RPTrsYU9cEX9/Q/2S2ri3fLDgxFcukkObwB4D0uOY0PxZuL44Sy3hjp8VQ+fOyO+F2tDRmF4kYsce07wg1vjyIFPpQsHH/CwOc+nK9bWgs+VE5fbtxZwM49i2ebz5JjFoAak5jEe67c+xvs49VMfehFSlOOMevUS++mFl16QO++8sygU5TonDGp6+HVI/37FCpk4YZxMn36ntGrZkqLx1cQVdWqqnJhdSZ/aicRkQ5Y3iibwZoHOGPWxHWd14GGsi8OF4xzomhuFdXEjVyVygYOtEj7Gc471w062JuCsdNXDehQbl9fFY/OBYcm1fGsDnrHwIQcxPN80Dh/WoZJ9yOU464rFa9SpqUUfGc2aNpWHH3tEpt42VZ5f9DyXDXqSDhz+1HwSYHkIf/S/f5P+PXrJ2NEZMvxIPuGRlpa4e572DBuFN5TdJMD4euyKu3yab7l5DZbfxwG/cqnuO1BLMToY7BtciPvyrR91wZOsPucj11cTcUjNZSzrzAvdFWcuxVmbfZwPHZLz1Kc2H8CxL5luOYAvDBdj8Rq1714f4E8m+/TqJZ/+8zMZPGCwnF7rdGnRskWylBAXkaL/9VjG2rdt61a5/LLLpF3bdjJ58s1Hdna59/rQlz70yc5PeN5A6udNiqKMgc9K5Fo/2+DB1RVi8PO6EGMZF6c8GK7I19xk/MCqZDzyUB8Sfs7jXI0DazGwbS+QjzhLHxf8vvWAQ3HAIAcxlYgDA59Kn8/FYzlhgx/2kcvoe33E5Z8wfqz0vKa7dOnaRbZt2Sw5n42Km10+cWFQi4h+DK9Hrz5S54y68vjTT8b+GJ7vKZOVUjFxrw996UMPbC67cazt4ouDsTXAg82O+sDBD1wyyfmM9fkVozWi4uABBmuCzXEbg60YxcNmHflWMj90zYfOePCiDiT7gXfVZhzrzGPrWluxyLV/GaI2S/xF5FoP41R31XJhFJfzcwHR9/qwuVH2jLvvl6bnN5WOXbrKd7vDx/aieqWxcj+o9ae0+vbuK98dOCBLlyzx32gpWScpnpJ1IO82p+TO23C+DQI/Nqbmss5ciuUYdEiLhY245qMeYoWRvvpHwqG5WJ/qXIN1HVg4GA9fXMm5rCMfNSHVH4VDnk8qD444PKiLPFcO+CDRGwxs+MHBdhw+xeifnLcQk9/rA/zJpN4T5Nnnn5XKJ58sl3XsIroPw+HvQLke1Hp3r98Ovk42bdokv395ieivVRytAz/FpXx2k/AG4Zj6YQNjbfAhbtcLPPxq+7Bx/T4carikXYcL4+NFLuIqoSsP68yLPEiOJdNtjtpaBxL5wGENNg6cSmDhQw7sZNJV3+ZYTthc27VG4JjP4pgjBxfvXh/MGaXrx/ZeXrJUvvz3l9K3p95tr3DffIziLmuxcjuo9RMet02+S156ZZk8//LzUrduvaP22GZm5tw1D/ejdm0KLYaNgThsxFRyDAt0+WwMdlGk3aCwuS508AOjNp8H4nGlK9dyu7g4z67NhVcf81pMMg7N5Zo2PypmsVE21qjrgc5463PZrnOxOOW0OGsX5l4fvMYo/fTTa8uLL7wgq1atlptGjQr3BPE0q9wO6vtnzZZZs2bJwkULpUWTo/vOMz7ClPORpoKdxybBRlBb/8DmDGDZl0znHBen5vv8UbGodYLPdx6IR62dc1ELeLV9a+M84K101Xf5bF6U7cu368HaLZfPDxzzsK5x5No12Jc8NA4seIsi8ZuJRclNltPwnIay5LUl8sS8+XL3lHuSwctlvNwNar2Snjt3rtw44YbEZzrbtml79B/43B+3PfH7/G8maiFsON5A8CHOC+KNGGfDMRfzHInOa2Aeu56i1GYOW4dt1nUNUXkcw3pdPsR8MipH12PjsO1aXVitCb/Fa0y5rB/8yOV1IwYJDheW81jnXOvP+83EQt7rg3mi9JbNWsqiRc/L1Ntuk+nTZ0ZBy2Ws3A3q11eulBEjRsj0aTNFP9N5TA7cXD214IbD5tNNAd1eBfnWBDzHXT6O8+ZjXTHWRp7LDx/XY11zYQMLPkjrVxs5wMSRyfLAyfXgs/zA+OIWDxufwNC8onLgPFz5vB5XHOsAB+M1Bj/joKu0eOtDTesvyr0+uG6U3rZdO3ny8cdk6tSbZP6CBVHQchc7/DZ0OTj15cuXS7cuXWT82NEycuTwY3fGKfpSRs5vJro2BApjM/GmQAxSYzrIMRiQo3HlVpt9yIPk+qwjbiW4wK1x+CzW2sDFqaO5cXG2jisPtS02yuYc1qNyEMMa8LjArzIuFzg4l/M17uJnPGOszuvw1WIuxetzTSUf8Otr1FE/xcU5RdWvGThQvv5mnwwaNEBqVq8h7dq3KypVmcorF1fU+nLH+rXrpFt6ugwfMvzIv9AS5ymQKfluyuRKweaxG4OxvPnUjxyLYdulowbns25zgLd+2K54FB/yjlS66sbhjMrTmGvtUT6NFSZP1+jis+tiTtZd54hc8NqhDj/nIgcSMdSCn3NVr1wx9z2CIt7rA3XiyIyMkTJ6ZIZ06dJJXl2+PE5KmceUi0GtXw2/vFNHubrzlXLbzKlH/IWWZM8K3OuDb8rEOdgM8NlNAb9KbCD2sR7FxTjowEPCr9JXi9cXhWMu6K46iEHGwQDLa+E8+NmHHJWIsw96VAwYSPDzUOR8xBUPv/pUV8lx+MHNOezjHPhtrrUV58rDmiDBZ234wYPXqPFGOcePhX7ntGkycmyG9OjaTVavXXUsSpQqzjI/qLdu3iKXXnqptG7VRh6eO6dQ95Uu6iOpd887lJmZ76ZMvGmSbQqtC4xKzuU1xdmcyAWf5vvyGGPrsB0X56rDPL61WAzb4IRETG094r7er9hk5wFOSM7hXB3aONivefqHfS6d+cGDPEj4VbIPOvNaDHKBVWkP+JQHOjDMfaT3+gBnHDnt9mnSvfvV0rVTN1m3bl2clDKLKdODWod06zZtpHGjJvI/zzwtFYrrYdR7feggyP0Vcn3iuwaI3RC8vKiY4jSODcRY+CyGuV068piLORBHrg+HuEqbY23GxtFxzpDIYduuC5hkkvOwTistB3KAc8V9MWB57fCp1Dy+akfM4oFDTtSagHWtCT5bE3yon/Kf4v0G4ewnnpB2HdrKxRdfLPqzeOX1viBldlAnhnS7NtK0aVN57rlnpEKFYhvTiTdcEt+xOpSVN1D5CQ8dmwOboDDSNfg5Pxk3x7EezWc/24xR3eK4NnTkxMEiJ0r6eOL6sR7UYNvHwRjkqVQ857hwHEcu41R3YRTri1k84+yQRU1IxqqOg3XLrzbHj/WbiVgTy3lPzJPWrdpKy5at5f82b+FQudHL5KBODOn2baVZk+byzHPPSpUqVYv3Ac29opa0lLyNiE0CyQvijWA3CuNY5xz2Q3fVQQybDxwY+rCBU2l9zAsd0ubhXFwcjAWOfcl0ywk81mLj8Fsc29AhbQ78KvFyB9aOngJj68MPPGyXRF1gmQs66qkEznIBq37mhA581OOvGOXH/aiP5cfzsB4rU1JT5YUXn5NmzZtL63ZtZP2GtRZS5u0yN6i3bNmceLmjSZOm8uxzzxyVmywV+lmQkppzU6b/HP5xW95YzGc3DW8uxlk9GU7jFoM1+LhccfXhUD62VcdVHGqBg3HIh+QY8Iglk1zHhVU+rInjXFP91mas6vZcbRz5WE9h4xaPmiqZ27cO9mMNyAO32jbmymMMdHBA4n7Uh7Jy7qMHf3FJ/Rfxs88+I61btpbLL+skW97/sLhKl4g6ZWpQb9r0gbRp3VaaNWsmz/7P08X7cgc/nLlX1Kk/yPlmot1AgOqmwNWM+ngTAaPSle/ycY4rz/JbDhsHn+JcMfaBi33IVx8O6OC0ftg+iTquOHNrHLYLm8wXVacw3OCBxJpUqo/9rNv1IWb94IMfvPBH5dkYcsFVUKZKWkrRfoqrIFfhPTqsn3zqSWnVurU0a9GiXL3BWGYG9drVq+WSSy6WFq2aJ944LPaXO/h5hytq8mHjQGpINwrbBM+nAmM3FkA+P+IuCU6NQffx2CtUrFsldNRgLtYRRw2NuXTgWIKHfapbP/gQYxu5Ngf+wkhee9w8zeE8rA3rga18/Jc3+F045gNOeezjhRikzXNxA6tS48fnOppXkaPrsH5+wQK54qqr5PLLLpeXX3+9IKgMesrEoNYPxXfq2lWu7NxZnl+4qPhfk7ZPjNxfeMHd8zSMjQhpUxijOjYP++GDBAfsKG5gwc1Y1hFnaQcH6inGDgVwWb9iC3OARyV0zdfaakMyJ6+Lc4Bx5bhwjLc6ODgPddmHPJXJ4sACBwm/SyrGV8+Hd/nVZ3nAjXVoPOc6+uj9cIBvLXH8+pr1/Llz5JohfaR3t3RZumRpnLRSjSn1g3rx4kWJr4XrfTsefOKJEvFg4BdeKmSfmLce++RHAJvB2nbzcDwqBpxPYh2+OPtRR4euPRCD9MXhx3lCst/FARxqA6PS9ZcAnxdyUQMSHGoDA8kx4FkiDol1KQY+cHGe+jSuf1xxxcIfxePiZF8yHdzJcBpXrKvHiVzcxyYO0THGzJh2vwwfPky69+0tc+fMOcbVji99qR3U+rXwGbNmSs/e/eWmKVNkxowZxfc56SSPGX7hJTM75zOn2KyQSFebr1ZtHDjIZHHgoiRvWOVzHcAgDttiEY/rV5zlYpv54IdETCV8qGt9GgceGEj4XRzAJJO2nuJdPvWjDgYfbKyDMfDxc8K1FnC4YvBZjG99wLNkLNaU96mPY3T3PK5fGF2/wXjnrbfL4OtGyLQ7by+zn7N279TCdOo4YHVITxg3Th6aNUsee/xxuaZfv+OwiuiS2ljXm4m8CXQzYSNEs/kHgebZTZmMC3HUt/lYow4M1WFDaj50cFgfarDf6j4M+3066mIdjHP5NO7zcy7rti8+jihexMClth6wmRM+YBLAJP8DP2Bq+x438KIO1+Z8jesf/OWisZxPfYjo7RFK2qH3Bvnpz34q/fv2lh07PpX7H7z/+H2Q4Bg1p9RdUesP0V47cIjMmTtPFi9dUiKHdOKlD8cDZjeVA+J18eYCCBsPdhzJOa71sA9Y1HZd6QHDebwO6wdXFIZjPh11mU91W4/zgUUux6J0xoOD8S4f4hxjHl4nMBxHfpRkDsXBBg94IcHFOI7Bz1zIwY9gFNe9PlA3ruzapYssXvKyLFu2THp27574weq4uaUBV6oG9eeffipdu3WTFauWy1tvvSnt27UvkT1OvPSRKvKfH3yftz7eBHnO3M3FdhzdbkTYnMsb0OX3rceVB35I5oOOPGDUdtVAHHkqkau6K85+xoIDOa56wEDGxQCv0lWT49CxDtgsuS504CHj1gEv48GJmEr4wI+Y5iEGn0rmgx+5uKIuznt9YA1xZds2rWXVqlWyYfMmufSyS+WTHZ+UmZdCSs2g3rhuvTS9qJkcOnBA1qzfIOc0ahT38TsuuNRMkRPozURsAjzxdVGqu65SoxYcd4NFcdgYr4lj8LvWzjiX7lqnz8f5qMU+zsOaEHfFwBGF1XwbByfyGQOfqx7yfJJzFAMu8MN2rQcx5mYcdBdOffzyBXNARz5sSPjBiyvq4r7XB9YTV9ZvUF82vr1BTjnp5MT3Kf6yek3c1BKNKxWDet68+fKbSy6Rthe2lddee03q1KpVopvqeukDT3wMZrV1E8AfdULJMIhDgsva7McGVB/rPoz6sXZgCiN1LbaOy8ecWD/nsW7zEXPlWazayc6Hc1SHrVIP1OM1u/QoHGLgduVbX9wcFyfWbjmtjRrw44r6eNzrA2uIK2vUqiFLf/976dK1i1xy2aXy0AMPxE0tsbgSPai/2v+V3DDqt3LddUNl7I1jZc68OaI/MV/SD7z0oZ+jtk94bBTrL+o58WaMw8l4X02LwZohfXnqt2tQ28dnsZoPLCTXQn0XJ+Os7uICh8Wy7Vofx1XHmqzfZ7vwrvUhH3hIrmnXBwzOzcY11+VDLZcEJ66oj8e9PlzrSuarUqmSPPzwwzJ9+vTED4X06dNP9uzZkyytxMZL7KD++OPtculFl8uiRYvl96+9JpMnTi6xTXQtTF/60M9R44luNwj8nGsxGlMc+1m3McVzPI7N64DOV5pcA3Fes9WBYYk1wQfb5mK9rn+uay7yWHdxwBenHrDJpKum+rhXURy+tbh4mQfnjDrJ8JrrwqA+cyfTmQdX1MfrXh/J1uqLDx8+XN58801Zs2alXPjrX8u2LaXz7nslclDrD1s2adxUatWqIWvXrpNWLVv6HoeS6c/9Crl+jhobBBIL5o0Hn0tio9oYbyKNgR9SfZqrNvuYR/3gtzrjoGPNsF0SfJCKQX32sc48vA5frsXDRh3kuWowBnku6cOBE+v04ZgTWPg4h/kQd0nOccV9PuW39X1Y+FELa1M/rqiP570+sL7CyiZNm8i6dRukwZn1pEnz5jJ3zuzCUhx3fIka1PrRu4EDB8rQwYMlY2yGLF2yROqcUee4N6nQC8jKlDQdkD+olDcs+UmvfHrVqAcPP2wQrgcf8q0NLOKwgVObY/CrhJ915Lskci2n2hzjXObWesBBRuW66lg8ziEZFjheg+b4Dn5cGIN1g49jPj0O1mJQhznVZ3Ecd+kuHhcOPl8NXFEDV9pkrVq1ZPHzS2TqzVNkxG9vkPRu6aKfIistR4kY1PoFlldffUUaN24k7/75z/LGa28kXurQ7/SX1kN/iguHa3PBxxsJPs2DHz61fZvIhUUe1mAlBhE4FQ8ei1Wb+SwOHL484F0vaVhuF4f6wOGLs5/Xg3UXJl+58Bcp8plf9cLyMd5yYr1RGK7P+ZzDmKLoWAdymRtX1KXhzUSs3yVHZYyUt/74tmzdtk30VsgvLn5JDkrx/mqNa13JfMd9UH+6c6dcO/Ba6dI1Xbp17SFvv/OONG/ZPNm6S3Y8JTXfT3HxYrEZeBNonG1gXHnA6mZFDjautZEPP2xwqERusiEKDpXIAR/bwLEPOiTysA6XnzFWZzyvR3W2bV6UzZyKg+06H43zX3RRvL4YeFHL139Xvs11YYriwzkjl+28K+oSdK8PrLOwsmmTxvLOn96RYUMGSo/evaRn196Jq+uS/DNfx21Q61X0gw8+KE3PU5c22wAAEnxJREFUaSjvvv+evPXmGzJj5vRS8amOZE8M/Aq5HMoqANUnPzal6th0vClYRxyDQQmZo0ABM/SBd+Hg0xrKj1rwq7Q+rM36gXXFgUUM/OpXH+Lwx5U2X7lcNeLwudbAPtaVD1fc/Lj46mCdiFtb/XHWbTHgO9rSVSct8Y/bknH3vKNxvvqpkMlTbpU/v/O2fPrpp4nvZTwwbZroXCqJx3EZ1MuXvy4tW7aSqbdMleEZoxMvdzRvXsqvounRxddss0/M/81EhfAmxcCm1ITKQwGbhn3MAR1x2MizNW0ttRXrWwvzIBc1YKt0+TgODHxx8MD6pG9tjGeM1tSDfcAm87nimgtO8Lgk57rOmzmgc46LEz7gYbtkYbmYE/qhxPxKLZH3+nCdc1xfo8aNZe2aNTJ+wkS55957pWmzZrJs2Stx04sNV2yDWv+m2rRpo3Tp0jXxp3a9M+SDv/5VJk6YUOZuoJKZmXMlfWJ2zi+86KOJzQKpG4B1fsThVx82CuLIUwx0SK6DPMRgM7flhM0Seexzcbh8nGN1rN/ltz61Lb9rXa485KIParty4YP0cSHfricKjxyV9gqc16Vxy8vrYR31LB5+lq48jkMHF+PVd9hWvdhGBpZ1zKW+FzZmdIb87W9/k3PPOlt69EiXNm3byMYNm4557bgFjnnXcwb0B9K1W7pc8MtfJZ6o77zztiyav0BOP7123HWWKlxqWprwm4lY/OEn/OENqz7dDPk3xOFhwhsbWOVjnW2uoX5sPqzBJRlj8y3eF8d6EIe0+bCBh51MWj5es+Yibv2Iwe+rizgk1gNeSPVbDLA+P9dkHvaDw0pw+rA+v/KgFjgst8/2PecUX5Lv9eE7n7j+GjVqyJx5c2Xjxo1SvUY1+eWFv5SO7drK2rXH/8d0j9mg1gH90rJXpGPHjnLBLy+Qg5mH5M033pDXXvu9NGrUOG7vSicu9zcTM1NyrqxdGwY+nKB96QGbi3HqYxu5KjUGDh/OlWt9qMvcrLu4lQN+5PNm53zVgYffrgE2pOLAixz4gEEcNuNYB4590KNybZ4L6/IpN+cyBn72qe7yw4e1qgQW+YxBjPFxdfC5OEr6vT7inmMUrkGDBrJo4WL541tvScVq1eTCiy6USy6+RBYvWiIHDx6ftxyP+qD+6KO/yYz77pNGjRpJv1695KRTfyjvvP1HefXll6VlafviStSjGRXL/cJLyqFDeZsJcGwCtXkj8CYD1krGR8UwsBnjynX5OMen27WyrZx6QLo4LJ5txvv8wNjzTHY+WJOVWK/W45qWDzYk8rAezoUPEjVdGPjAG4VFTHmRZ2vYGOcAG0daftHPMpWwHw6Icx5Fxej7ZoueXyQf/uVD+clPTpMBA/rLL84+S6bNmCZ//eCvRaUtUt4RD2q9cv7kk09k7tx50rp1azn/gnPlqSdmy5VXXiV///v/yvNzF0jTps2KtLhSm5R7RZ2VdvgnQbFZoq40+XyBh0/tghsnJ4qYxqFrBDokuHxScckOF4Z9WCP7fJyKAR5Ssawj1/JxLjBxJfhdjwXquPg1z/7lAK6o2i4u4KPqcQx4rod4nBgwRZU5n/rQ1z5K5qciinpecfIantNQ5s6bJ3//5//KkMFD5anHnpILLvyVtGjeQmY/8YR8+ukO2Z+5Nw5VkTHJd6aDWr9BuHzlSvnjG2/Iho0bZMuWrVK5cmUZMmSITLv9VjnrvGZSpVKRqB3VSqEr94o6NSslb+hgg/Hmgs+eoWJszNrIYSzrGtccDBbVNW4x4Ikr7Tp8fDoENeY7bJ4PC5yta23gXPUQc+UAb2Pwq9SYcoCHY6wni7uwqAvJGNR1xaJqufDMG0dnftVz3nPJlNJ2r4845xoXU7NaLRk3ZoyMGTVKNm1aLy+8sEzuvP1WuWHUKDmrwZly5rlnS9vWbaRd+3air3cfzaPATtIh/Nlnn8lXu3fJgQOHZNfOXfLvXV/K3//5sfzftm2yfdvHsmXbFvnxj0+V5s2aylVXXZ34m6V582ZSmr9JeDSbqlcdBRrrKIDNgA2pth6ujQYs01gfbOYDl4sbMeY8Wjrq+fiiauM8IH0c7Ld8mqt/WeAvKmAVZ322jsvWfM11xaL8yEN9lZaDfeBinytXcb4D58dcPqzPD3671tJ4rw/fORbVr3OucZPmiT/6m43r1q2XP//pT7J61XK5YcwY6d23t9T7WT058xcN5Gf168tPTq0jP6l9qtSsVUMqVkyT6jVqymmnnZYoH3egF5gnLz33goyYMEZOqXxSgqh6jepSuXJFqXN6HanXoJ60a99e2rRpI/qCezjcHUhcdaSK6G1O4xy6GfTA5nDl2JjdQGyrzjbzqd81wBjj012cdl3IZawLg3Wo1AM2hoz6XHk+bIKE/qe5zIX1QAKazEY95bNYjWGNkIxHDStdWPi0Bg74YLvqI6ZS4/wvGXBZHs5JpufPPby2ZHnlKd6sWVPRPyMzRiZOe9v2j2XlyhWy5cMPZcfHH8uf162Tfd98I/u+2if7M/fLvgMH5P47pyWwQ64fHqtVBTrffUBfueLqKyQ1rbKkpqRIaiWRSqlVY5EFUE4HElcdubc55Z4k22iKdWGsL5mtPPk32OFVqJ8H2OGIPwcYHyfiKrE2HhgcZ4xirc01wGXzo86B+ZgLHOD0cbhy1Ic88LgkMC6OKLwrpj7w+eLW7zunwvK4apeVe33Ynh0Lu369ulK/3rX5qPU17MzcW4ocOHRAKudeCOcDRRgF3kzUr1bWrFlbqlerJlWrVg1DOqJ5USH955He5hRHUTaL5rryeBAgjmGiOayjPiTwPm7gILkWchCDVE4cwLOPdcUBg5woabHgYr/1acz6UAN59i8r+G2e2vpH48wLPkhgYCfDKg41IdUHHkjw+aTicCCHfYgVRoKHc8rSvT74vIpL14tdnaf6p2aNmqJzVv/EPQoM6riJARfRgZScN1/0NqfYNLwZkenyIQYZheENxbodQliDcoIPeI5Bh8Qa2EY+Ysmk5nIOc2mujTOf5mkcOVFYcHE++7AGK4FHDcTZZh90Xx78eAwUDy7EfBw4P0jgIV157IMOiby4Eut05ed96qMcfTwvbt+KA3f4r+PcavpRk2++/E4yRd8QS03IiqkV5UBmzrv4+iDiiQRZHAstLTX0Cb1r9x7JyjwkO3d+Lql622m9m16KiH6znKWeU+Lb5vrmI10Z5fWY8Ik3KHXo5foSufyGEl5GwDDO3VCJejlgnYo5d/XT7+HgY1aah8cUOJVYsw5TcObmJ2D6P6wvNw/ngDXi3BKfvc09R/gYKym5NYgvUZPPFWvOXVdOycN9sz2z8YTt4MM6NI4D67c2/Ilz0L6YxzTxGKVVzLnyNjHF6oG3ALHxwJmI4fxpnQk/Pz4GY/MVn1iXPje4V8RZIMfx2ADD8tu9e+XLf/1Ltny4JTEXtFY4CnZAZ4DeG0WfW3nPy9y9qrGszFRJrZjzDKhfv35BAofnB9nZ2dns79Spiyxb9lLOztEAnlkMMnpKSqpk6bfw9FENRxE64PqHje2lYtiHHPgRg83LAFZ9jIPNcfiQ74rZGi4M52tNYFi3tWwObJcEn43Z80Oc/awjzjLOGhkfR+f1gp/X4dOZGxj2qa7cHEMt9vlwimG85bK1cv7m1u2elZUiKYlv36ZIVpaUQz2np1lZmaIzMCU1JfemVQV7mJKS06OcbmZJnVNzfhDlH5//w9Hggq4Cg3rv3r2SqV2nQ219Y7Ewh+LBUx70NEmVQ46/1dC7lKyURFxx+pea+llHf4HXXltMFB78Ph72R/G46nLusdCj1oPzisJgzcdibczpW4PPr7lYP/P49CgePsfCcNpavlz2H9b1C1uZieeh5dH1hKNgB3j/FowW9Oh7gXGOAoM6TlLAhA6EDoQOhA4UXwcKd5lcfOsKlUIHQgdCB0IHcjsQBnV4KoQOhA6EDpTwDoRBXcIfoLC80IHQgdCBMKjDcyB0IHQgdKCEdyAM6kI8QIteeEF+WvuneX9+Xu/nsmfPngTDt/v3S9PGjfNijEvv1i1plVUrV+XL/a8z/p98tXtn0rwACB0oagcmTpyQ7zmH56w+97Zt25ag1dsYz5r1gJzTsGEC26tXL/n44+2xSu7auVN+8d+/yFdj1ZrVsXIDKH8H8Ln7/N5gFeiADuJZ9z8oV6RfmfNlkZRU+eUFF+T9avpbb74pO7/8Ol9cvwDx8tKliR/yLUBIDt0MDz36UE6u+rMy5eyzzpbqNWoRKqihA0evA/qcW7xsmVzY6kKpUatW3nP6421b5ZMdn0i9unUTxabPmC6PPjo7cTO27Vu3ybPPPivLly+Xt9/+o/z857+IXNBDDz0k5110gVSvUj3Bf1Llk+SC8y+IzAlBTwf0Cy/hSN6BF198Kfu+e+/xAqfedEv2119/nS+u9qk/PjX7X19/kc9vjT/96c/Z48ePte5ghw4csw688Yc/ZP/xrT8W4M8YOTL7rrvuTvi/+OKL7Evbd8je9913ebgHH35EvyCXPWr06DyfS/nHF/+X3fY3bbO//+57Vzj4CtmB8NKH5y8wduvVx2133SHfHTgkmzZuFLXtcfOtU/KurhF76aUXRX+OXm84HnXoP0GzDmXJ+rVrRK/cwxE6cKw7oL/G1LJVy3xl9Lm3aNEiSe+XnvDryx9PPPJgvpsH9e7dU0798aly4MC+fLnWmPfofDmp+smy+k+r814etJhgF6IDhRzs5RK+9MWliasIvZKQVMk+/7zzst9/7/2kveh8Zefshx98JBL33nt/ya6YlpbHf+aZDbL/9M6fInNCMHTgWHRg6QtLsn/1qwuz//O9/yr4yy//nfhX4uOPP+ldgv5L8kc/+lHec/onp52W/cgjj3nxIZC8A+GKOsZfald0uUL27ftG3n33z3JjxnjZsnWr/Po3FyWurn3p3367V9atWSfde17tgyT8+ovsX3/zjbz3l7/I1Lvulk8/+TzB/erLr0bmhWDowNHuwJJXXpYO7dtF/lLThx9ulsrVKsnVV1/lLV+tWjXZtWuXfPTRR/L4409KalqajBgxVKZPn+7NCYEkHUg+ywPCduCdt9/Jrly5cvYll1xiQ3n2U08+md29e/c8O67yt79+lLgaOe+88+KmBFzowBF3QK+if/LT07L1dWnfoZh27Ttkv/GHN3wQp//fX/w7+/wLzs+uXDEt+x//+IcTE5zRHQhX1En+InOFm7doLpMmTZI33njD+Xq15sxfsEA6X3mFKz3S1+CsM+X2O2+X9957T/QGWeEIHSiODixZslQa/vwcqaWfAPEc8+bNkwt/db60advGg3C7a9SqIY898ogcyhLZtm2LGxS8kR0IgzqyPf7gFR3a0+0h8+P0nt6bN2+VNq3b5g/EtLpf3T2BTEvTu5eFI3Tg2HfgmWf/RzpfeaW30Ku/f10+3LJNJk+e4sVEBZo0aSqnnHyySGYYOVF98sVC13ydSeL/+ut9MmhYf+freWvWrJX2bVsX+Sfjv/n6G7n44t9IhQoVkqwihEMHjrwDX+3eLWvWrpPOnd3/Aly7Zq2seGuFzJyR84OsWlE/+bR79+7YxfWLYbVPP13OPf+82DkBeLgDYVAf7oVXW7lypWzatDEvrk+6OfPnyeTRE/N8rMyZM1d69OnHLq+uH/dbt3ZdXlw/InXrXXfIzBkz83xBCR04lh14Z82fpVWrls6XPTZt2CATxoyRK3teJevXb5SNGzfJ+vXr5bph18m+r792Lmvrtq2yfPmKvJcFdag/+8wzMn782CJfvDgLlSdn9EvYIaoduLRdm8Sbhx06tM+eNOmm7Ek3Tsr+x/+53xRR/09O+0n2l/u+KdC8L//9Rfb5512Q3bd//7xY3/4DslPT0rJ//etfZ990y6Ts0SNHZ//9f/+WFw9K6MCx7sBV3a/O1o/m2ePNN9/KPvmkk/M+Zpf4eKp+RFUk+6JfX5QHf/LJx7Pr/axe9ltvvpXw3XPXXdkpKanZ5557Xvb4G8dnj87IyIvlJQWlUB0IPxwQ429lvcrVj88dOvSd1K3XQOqecYY3a+fOnfLpJ9ulcZPmBTDKc/dtd0j9sxpIn159EnG92li/Yb18990+OfXUn8ovfvHzAnnBETpwLDuwetVKOf+CC6RKlar5yvztbx/JZ5/9M58PxumnnyENGjRImBvXbZA5zz0jNwwfJvXq5/j0X4pffv1v+eEpP5JzzjnH+RIhuIJM3oEwqJP3KCBCB0IHQgeOawfCa9THtf2heOhA6EDoQPIOhEGdvEcBEToQOhA6cFw7EAb1cW1/KB46EDoQOpC8A/8fPJN26o4HIxAAAAAASUVORK5CYII="> (A1)(M1)</strong></em></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for two correctly labelled vertical lines in approximately correct positions. The values 57.5 and 72.5, or <em>μ </em>− 1.5<em>σ</em> and <em>μ </em>+ 1.5<em>σ</em> are acceptable labels. Award <em><strong>(M1)</strong></em> for correctly shaded region marked by their two vertical lines.</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>0.866 (0.86638…, 86.6%) <strong><em> (A1)</em>(ft)</strong></p>
<p><strong>Note:</strong> Follow through from their part (b)(i) shaded region if their values are clear.</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>P(<em>W</em> < <em>k</em>) = 0.775 <strong><em> (M1)</em></strong></p>
<p><strong>OR</strong></p>
<p><strong><img src="data:image/png;base64,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"> <em>(M1)</em></strong></p>
<p><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for correct region labelled and shaded on diagram.</p>
<p>(<em>k</em> =) 68.8 (68.7770…) <em><strong>(A1)(G2)</strong></em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(H<sub>0</sub>:) performance (of players) and (their) weight are independent. <em><strong>(A1)</strong></em></p>
<p><strong>Note:</strong> Accept “there is no association between performance (of players) and (their) weight”. Do not accept "not related" or "not correlated" or "not influenced".</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>0.287 (0.287436…) <em><strong>(G2)</strong></em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>accept/ do not reject null hypothesis/H<sub>0</sub> <strong><em>(A1)</em>(ft)</strong></p>
<p><strong>OR</strong></p>
<p>performance (of players) and (their) weight are independent. <strong><em>(A1)</em>(ft)</strong></p>
<p>0.287 > 0.05 <em><strong>(R1)</strong></em><strong>(ft)</strong></p>
<p><strong>Note:</strong> Accept <em>p</em>-value>significance level provided their <em>p</em>-value is seen in b(ii). Accept 28.7% > 5%. Do not award <em><strong>(A1)(R0)</strong></em>. Follow through from part (d).</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">The heat output in thermal units from burning \(1{\text{ kg}}\) of wood changes according to the wood’s percentage moisture content. The moisture content and heat output of \(10\) blocks of the same type of wood each weighing </span><span style="font-family: times new roman,times; font-size: medium;"><span style="font-family: times new roman,times; font-size: medium;">\(1{\text{ kg}}\)</span> were measured. These are shown in the table.</span></p>
<p><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a scatter diagram to show the above data. Use a scale of \(2{\text{ cm}}\) to represent \(10\% \) on the <em>x</em>-axis and a scale of \(2{\text{ cm}}\) to represent \(10\) thermal units on the <em>y</em>-axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down</span><br><span>(i) the mean percentage moisture content, \(\bar x\) ;</span><br><span>(ii) the mean heat output, \(\bar y\) .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot the point \((\bar x{\text{, }}\bar y)\) on your scatter diagram and label this point M .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the product-moment correlation coefficient, \(r\) .</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The equation of the regression line \(y\) on \(x\) is \(y = - 0.470x + 83.7\) . Draw the regression line \(y\) on \(x\) on your scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The equation of the regression line \(y\) on \(x\) is \(y = - 0.470x + 83.7\) . Estimate the heat output in thermal units of a \(1{\text{ kg}}\) block of wood that has \(25\% \) moisture content.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The equation of the regression line \(y\) on \(x\) is \(y = - 0.470x + 83.7\) . State, with a reason, whether it is appropriate to use the regression line \(y\) on \(x\) to estimate the heat output in part (f).<br></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img src="data:image/png;base64,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" alt></span></p>
<p><span> <em><strong>(A1)</strong></em> for correct scales and labels</span><br><span> <em><strong>(A3)</strong></em> for all ten points plotted correctly</span><br><span> <em><strong>(A2)</strong></em> for eight or nine points plotted correctly</span><br><span> <em><strong>(A1)</strong></em> for six or seven points plotted correctly <em><strong>(A4)</strong></em></span></p>
<p><span><strong> </strong></span></p>
<p><span><strong>Note:</strong> Award at most <em><strong>(A0)(A3)</strong></em> if axes reversed.</span></p>
<p><span><em><strong>[4 marks]</strong></em><br></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(\bar x = 42\) <em><strong>(A1)</strong></em></span></p>
<p><br><span>(ii) \(\bar y = 64\) <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong> </strong></em></span></p>
<p><span><em><strong>[2 marks]<br></strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\((\bar x{\text{, }}\bar y)\) plotted on graph and labelled, M <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <strong><em>(A1)</em>(ft)</strong> for position, <em><strong>(A1)</strong></em> for label.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\( - 0.998\) <em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(G1)</strong></em> for correct sign, <em><strong>(G1)</strong></em> for correct absolute value.</span></p>
<p><span><em><strong>[1 mark]</strong></em><br></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>line on graph <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em></span></p>
<p><span><strong>Notes:</strong> Award <strong><em>(A1)</em>(ft)</strong> for line through their M, <strong>(A1)</strong> for approximately correct intercept (allow between \(83\) and \(85\)). It is not necessary that the line is seen to intersect the \(y\)-axis. The line must be straight for any mark to be awarded.</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(y = - 0.470(25) + 83.7\) <em><strong>(M1)</strong></em></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for substitution into formula or some indication of method on their graph. \(y = - 0.470(0.25) + 83.7\) is incorrect.</span></p>
<p> </p>
<p><span>\( = 72.0\) (accept \(71.95\) and \(72\)) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><span><strong>Note:</strong> Follow through from graph only if they show working on their graph. Accept \(72 \pm 0.5\) .</span></p>
<p><span><em><strong>[2 marks]</strong></em><br></span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Yes since \(25\% \) lies within the data set and \(r\) is close to \( - 1\) <em><strong>(R1)(A1)</strong></em></span></p>
<p><span><strong>Note:</strong> Accept Yes, since \(r\) is close to \( - 1\)</span></p>
<p><span><span><strong>Note:</strong> Do not award</span> <span><em><strong>(R0)(A1)</strong></em>.</span></span></p>
<p><span><span><em><strong>[2 marks]</strong></em><br></span></span></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">The great majority of candidates found this question to be a good start to the paper. The common errors were (1) incorrect scales being used; SI units are standard in this course and candidates are expected to know the difference between centimetres and millimetres (2) the lack of \(r\) on the GDC (3) not knowing that the regression line \(y\) on \(x\) passes through the mean point and (4) not realising that the value of \(r\) determines the validity of using the regression line \(y\) on \(x\) .</span></p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">In an environmental study of plant diversity around a lake, a biologist collected</span> <span style="font-family: times new roman,times; font-size: medium;">data about the number of different plant species (<em>y</em>) that were growing at different </span><span style="font-family: times new roman,times; font-size: medium;">distances (<em>x</em>) in metres from the lake shore.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw a scatter diagram to show the data. Use a scale of 2 cm to represent 10 metres on the <em>x</em>-axis and 2 cm to represent 10 plant species on the<em> y</em>-axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Using your scatter diagram, describe the correlation between the number of different plant species and the distance from the lake shore.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to write down</span><span> \(\bar x\), the mean of the distances from the lake shore.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use your graphic display calculator to write down \(\bar y\), the mean number of plant species.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Plot the point (\(\bar x\), \(\bar y\)) on your scatter diagram. <strong>Label this point M.</strong></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the equation of the regression line <em>y</em> on <em>x</em> for the above data.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Draw the regression line <em>y</em> on <em>x</em> on your scatter diagram.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Estimate the number of plant species growing 30 metres from the lake shore.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span><img 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" alt><span> <em><strong>(A1)(A3)</strong></em></span></span></p>
<p><span><strong> </strong></span></p>
<p><span><strong>Notes:</strong> Award<em><strong> (A1)</strong></em> for scales and labels (accept <em>x</em>/<em>y</em>).</span></p>
<p><span>Award<em><strong> (A3)</strong></em> for all points correct.</span></p>
<p><span>Award<em><strong> (A2)</strong></em> for 7 or 8 points correct.</span></p>
<p><span>Award <em><strong>(A1)</strong> </em>for 5 or 6 points correct.</span></p>
<p><span>Award at most <em><strong>(A1)(A2)</strong></em> if points are joined up.</span></p>
<p><span>If axes are reversed award at most <em><strong>(A0)(A3)</strong></em><strong>(ft)</strong>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[4 marks]</span></strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Negative <em><strong>(A1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>17 <em><strong>(G1)</strong></em></span></p>
<p><span><em><strong>[1 mark]</strong></em></span></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>23 <strong><em>(G1)</em></strong></span></p>
<p><span><strong><em>[1 mark]</em></strong></span></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Point correctly placed and labelled M <strong><em> (A1)</em>(ft)<em>(A1)</em> </strong></span></p>
<p><br><span><strong>Note:</strong> Accept an error of ±0.5.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = –0.708<em>x</em> + 35.0 <em><strong>(G1)(G1)</strong></em></span></p>
<p><span> </span></p>
<p><span><strong>Note:</strong> Award at most<em><strong> (G1)(G0)</strong> </em>if <em>y</em> = not seen. Accept 35.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>Regression line drawn that passes through M and (0, 35) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for straight line that passes through M, <em><strong>(A1)</strong></em> for</span> <span>line (extrapolated if necessary) that passes through</span> <span>(0, 35) (accept error of ±1).</span></p>
<p><span>If ruler not used, award a maximum of <em><strong>(A1)(A0)</strong></em>.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = –0.708(30) + 35.0 <em><strong>(M1)</strong></em></span><br><span>= 14 <em>(Accept 13)</em> <em><strong> (A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><strong><span>OR</span></strong></p>
<p><span>Using graph:<em><strong> (M1)</strong></em> for some indication on graph of point, <strong><em>(A1)</em>(ft)</strong> for answers. Final answer must be consistent with their graph. </span><span><span><em><strong> (M1)</strong></em></span><em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2) </strong></em></span></p>
<p><br><span><strong>Note:</strong> The final answer must be an integer.</span></p>
<p><span> </span></p>
<p><em><strong><span>[2 marks]</span></strong></em></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p style="margin: 0.0px 0.0px 10.0px 0.0px; font: 16.0px Times; color: #3f3f3f;"><span style="font-family: 'times new roman', times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">This question, by far, was the most accessible to the great majority of candidates. However, far too many candidates do not (1) use the scale as required by the question, (2) use a scale at all, (3) either draw or label axes, (4) use a ruler at all (5) use the provided graph paper. Accurate plotting of points can not be assessed unless graph paper has been used; the diagram is not a graph.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">Many candidates did not seem aware that the regression line must pass through the mean point. Others, though they had obtained the equation of the regression line, did not use it to identify its <em>y</em> intercept.</span></p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="font-family: times new roman,times; font-size: medium;">George leaves a cup of hot coffee to cool and measures its temperature every minute. His results are shown in the table below.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;"><img src="data:image/png;base64,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" alt></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Write down the decrease in the temperature of the coffee</span></p>
<p><span>(i) during the first minute (between <em>t</em> = 0 and <em>t</em> =1) ;</span></p>
<p><span>(ii) during the second minute;</span></p>
<p><span>(iii) during the third minute.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Assuming the pattern in the answers to part (a) continues, show that \(k = 19\).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use the <strong>seven</strong> results in the table to draw a graph that shows how the temperature of the coffee changes during the first six minutes.</span></p>
<p><span>Use a scale of 2 cm to represent 1 minute on the horizontal axis and 1 cm to represent 10 °C on the vertical axis.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span><span>The function that models the change in temperature of the coffee is <em>y</em> = <em>p</em> (2<sup>−<em>t</em></sup> )+ <em>q</em>.</span></span></p>
<p><span>(i) Use the values <em>t</em> = 0 and <em>y</em> = 94 to form an equation in <em>p</em> and <em>q</em>.</span></p>
<p><span>(ii) Use the values <em>t</em> =1 and <em>y</em> = 54 to form a second equation in <em>p</em> and <em>q</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Solve the equations found in part (d) to find the value of <em>p</em> and the value of <em>q</em>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>The graph of this function has a horizontal asymptote.</span></p>
<p><span>Write down the equation of this asymptote.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>George decides to model the change in temperature of the coffee with a linear function using correlation and linear regression.</span></p>
<p><span>Use the <strong>seven</strong> results in the table to write down</span></p>
<p><span>(i) the correlation coefficient;</span></p>
<p><span>(ii) the equation of the regression line <em>y</em> on <em>t</em>.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Use the equation of the regression line to estimate the temperature of the coffee at <em>t</em> = 3.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span>Find the percentage error in this estimate of the temperature of the coffee at <em>t</em> = 3.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span>(i) 40</span></p>
<p><span>(ii) 20</span></p>
<p><span>(iii) 10 <em><strong>(A3)</strong></em></span></p>
<p><br><span><strong>Notes:</strong> Award <em><strong>(A0)(A1)</strong></em><strong>(ft)</strong><em><strong>(A1)</strong></em><strong>(ft)</strong> for −40, </span><span><span>−</span>20, </span><span><span>−</span>10.</span></p>
<p><span> Award <em><strong>(A1)(A0)(A1)</strong></em><strong>(ft)</strong> for 40, 60, 70 seen.</span></p>
<p><span> Award <em><strong>(A0)(A0)(A1)</strong></em><strong>(ft)</strong> for </span><span><span>−</span>40, </span><span><span>−</span>60, </span><span><span>−</span>70 seen.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(24 - k = 5\) or equivalent <em><strong>(A1)(M1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for 5 seen, <em><strong>(M1)</strong></em> for difference from 24 indicated.</span></p>
<p><br><span>\(k = 19\) <em><strong>(AG)</strong></em></span></p>
<p><br><span><strong>Note:</strong> If 19 is not seen award at most <em><strong>(A1)(M0)</strong></em>.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><img 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" alt><span> <em><strong>(A1)(A1)(A1)(A1)</strong></em></span></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for scales and labelled axes (<em>t</em> or “time” and <em>y</em> or “temperature”).</span></p>
<p><span> Accept the use of <em>x</em> on the horizontal axis only if “time” is also seen as the label. </span></p>
<p><span> Award <em><strong>(A2)</strong></em> for all seven points accurately plotted, award <em><strong>(A1)</strong></em> for <strong>5 or 6</strong> points accurately plotted, award <em><strong>(A0)</strong></em> for 4 points or fewer accurately plotted.</span></p>
<p><span> Award <em><strong>(A1)</strong></em> for smooth curve that passes through all points on domain [0, 6]. </span></p>
<p><span> If graph paper is not used or one or more scales is missing, award a maximum of <em><strong>(A0)(A0)(A0)(A1)</strong></em>.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) \(94 = p + q\) <em><strong>(A1)</strong></em></span></p>
<p><span>(ii) \(54 = 0.5p + q\) <em><strong>(A1)<br><br></strong></em></span></p>
<p><span><strong>Note:</strong> The equations need not be simplified; accept, for example \(94 = p(2^{-0}) + q\).</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>p</em> = 80, <em>q</em> = 14 <em><strong>(G1)(G1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> If the equations have been incorrectly simplified, follow through even if no working is shown.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span><em>y</em> = 14 <em><strong>(A1)(A1)</strong></em><strong>(ft)</strong></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(A1)</strong></em> for <em>y</em> = a constant, <em><strong>(A1)</strong></em> for their 14. Follow through from part (e) only if their <em>q</em> lies between 0 and 15.25 inclusive.</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>(i) </span><span><span>–</span>0.878 (</span><span><span>–</span>0.87787...) <em><strong>(G2)</strong></em><br></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(G1)</strong></em> if –0.877 seen only. If negative sign omitted award a maximum of <em><strong>(A1)(A0)</strong></em>.<br></span></p>
<p><span> </span></p>
<p><span>(ii) y = </span><span><span>–</span>11.7<em>t</em> + 71.6 (y = </span><span><span>–</span>11.6517...<em>t</em> + 71.6336...) <em><strong>(G1)(G1)</strong></em> <br></span></p>
<p><span><strong>Note:</strong> Award <em><strong>(G1)</strong></em> for </span><span><span>–</span>11.7<em>t</em>, <em><strong>(G1)</strong></em> for 71.6. </span></p>
<p><span> If <em>y</em> = is omitted award at most <em><strong>(G0)(G1)</strong></em>.</span></p>
<p><span> If the use of <em>x</em> in part (c) has <strong>not</strong> been penalized (the axis has been labelled “time”) then award at most <em><strong>(G0)(G1)</strong></em>.</span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>−11.6517...(3) + 71.6339... <em><strong>(M1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for correct substitution in their part (g)(ii).</span></p>
<p><br><span>= 36.7 (36.6785...) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Follow through from part (g). Accept 36.5 for use of the 3sf answers from part (g).</span></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span>\(\frac{{36.6785... - 24}}{{24}} \times 100\) <em><strong>(M1)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Award <em><strong>(M1)</strong></em> for their correct substitution in percentage error formula.</span></p>
<p><br><span>= 52.8% (52.82738...) <em><strong>(A1)</strong></em><strong>(ft)</strong><em><strong>(G2)</strong></em></span></p>
<p><br><span><strong>Note:</strong> Follow through from part (h). Accept 52.1% for use of 36.5. </span></p>
<p><span> Accept 52.9 % for use of 36.7. If partial working (\(\times 100\) omitted) is followed by their correct answer award <em><strong>(M1)(A1)</strong></em>. If partial working is followed by an incorrect answer award <em><strong>(M0)(A0)</strong></em>. The percentage sign is not required.</span></p>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="font-family: times new roman,times; font-size: medium;">Almost all candidates were able to score on the first parts of this question; errors occurring only when insufficient care was taken in reading what the question was asking for. The graph was usually well drawn, other than for those who have no idea what centimetres are.</span></p>
<p><span style="font-family: times new roman,times; font-size: medium;">The majority were able to determine the simultaneous equations, if only in unsimplified form; there was less success in solving these – though this is easily done via the GDC (the preferred approach) and the equation of the asymptote proved a discriminating task. The final parts, involving correlation and regression were largely independent of the previous parts and were accessible to most. Hopefully, contrasting the large percentage error with the value of the correlation coefficient will be valuable in class discussions. Given the many scripts that gave the value of the coefficient of determination as that of \(r\) , it seems better that the former is simply not taught.</span></p>
<div class="question_part_label">i.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">A biologist is studying the relationship between the number of chirps of the Snowy Tree cricket and the air temperature. He records the chirp rate, \(x\), of a cricket, and the corresponding air temperature, \(T\), in degrees Celsius.</p>
<p class="p1">The following table gives the recorded values.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2015-12-04_om_08.39.25.png" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Draw the scatter diagram for the above data. Use a scale of 2 cm for 20 chirps on the horizontal axis and 2 cm for 4<span class="s1"><strong>°</strong></span>C on the vertical axis.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Use your graphic display calculator to write down the Pearson’s product–moment correlation <span class="s1">coefficient, \(r\)</span>, between \(x\) and \(T\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Interpret the relationship between \(x\) and \(T\) using your value of \(r\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Use your graphic display calculator to write down the equation of the regression line \(T\) on \(x\). Give the equation in the form \(T = ax + b\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the air temperature when the cricket’s chirp rate is \(70\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Given that \(\bar x = 70\), draw the regression line \(T\) on \(x\) on your scatter diagram.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">A forest ranger uses her own formula for estimating the air temperature. She counts the number of chirps in 15 seconds, \(z\), multiplies this number by \(0.45\) and then she adds \(10\).</p>
<p class="p1">Write down the formula that the forest ranger uses for estimating the temperature, \(T\).</p>
<p class="p1">Give the equation in the form \(T = mz + n\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">A cricket makes 20 chirps in <strong>15</strong> seconds.</p>
<p class="p1">For this chirp rate</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>calculate an estimate for the temperature, \(T\), <strong>using the forest ranger’s formula</strong>;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>determine the actual temperature recorded by the biologist, <strong>using the table above</strong>;</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>calculate the percentage error in the forest ranger’s estimate for the temperature, compared to the actual temperature recorded by the biologist.</p>
<div class="marks">[6]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="data:image/png;base64,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" alt></p>
<p class="p2"><strong><em><span class="Apple-converted-space"> </span>(A4)</em></strong></p>
<p class="p2"><strong>Notes:<span class="Apple-converted-space"> </span></strong>Award <strong><em>(A1) </em></strong>for correct scales and labels.</p>
<p class="p2">Award <strong><em>(A3) </em></strong>for all six points correctly plotted,</p>
<p class="p2"><strong><em> (A2) </em></strong>for four or five points correctly plotted,</p>
<p class="p2"><strong><em> (A1) </em></strong>for two or three points correctly plotted.</p>
<p class="p2">Award at most <strong><em>(A0)(A3) </em></strong>if axes reversed.</p>
<p class="p2">Accept tolerance for \(T\)-axis.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{0.977}}\;\;\;{\text{(0.977324}} \ldots {\text{)}}\) <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \(0.97\).</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(Very) strong positive correlation <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(A1) </em></strong>for (very) strong, <strong><em>(A1) </em></strong>for positive.</p>
<p class="p1">Follow through from part (b).</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T = 0.129x + 6.82\) <span class="Apple-converted-space"> </span><strong><em>(G2)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Award <strong><em>(G1) </em></strong>for \(0.129x\), <strong><em>(G1) </em></strong>for \( + 6.82\).</p>
<p class="p1">Award a maximum of <strong><em>(G0)(G1) </em></strong>if the answer is not an equation.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(0.129 \times 70 + 6.82\) <strong><em>(M1)</em></strong></p>
<p><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for substitution of 70 into their equation of regression line.</p>
<p> </p>
<p><strong>OR</strong></p>
<p>\(\frac{{8 + 12.8 + \ldots + 21.1}}{6}\) <strong><em>(M1)</em></strong></p>
<p>\( = 15.9{\text{ }}(15.85)\) <strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p><strong>Note: </strong>Follow through from part (d) without working.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">regression line through \((70,{\text{ }}15.9)\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Note: </strong>Accept \(15.9 \pm 0.2\).</p>
<p class="p1">Follow through from part (e).</p>
<p class="p2"> </p>
<p class="p1">with \(T\)-intercept, \(6.82\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Note: </strong>Follow through from part (d). Accept \(6.82 \pm 0.2\).</p>
<p class="p1">In case the regression line is not straight (ruler not used), award <strong><em>(A0)(A1)</em>(ft) </strong>if line passes through both their \((70,{\text{ }}15.9)\) and \((0,{\text{ }}6.82)\), otherwise award <strong><em>(A0)(A0)</em></strong>.</p>
<p class="p1">Do not penalize if line does not intersect the \(T\)-axis.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T = 0.45z + 10\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(0.45(20) + 10\) <span class="Apple-converted-space"> </span><strong><em>(M1)</em></strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for correct substitution of \(20\) into their formula from part (g).</p>
<p class="p2"> </p>
<p class="p1">\( = 19\;\;\;(^\circ {\text{C}})\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p1"><strong>Note: </strong>Follow through from part (g).</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\( = 18.2\;\;\;(^\circ {\text{C}})\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em></strong></p>
<p class="p1"> </p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\(\left| {\frac{{19 - 18.2}}{{18.2}}} \right| \times 100\% \) <span class="Apple-converted-space"> </span><strong><em>(M1)(A1)</em>(ft)</strong></p>
<p class="p1"><strong>Note: </strong>Award <strong><em>(M1) </em></strong>for substitution in the percentage error formula, <strong><em>(A1) </em></strong>for correct substitution.</p>
<p class="p2"> </p>
<p class="p1">\({\text{4.40% }}\;\;\;{\text{(4.39560}} \ldots {\text{)}}\) <span class="Apple-converted-space"> </span><strong><em>(A1)</em>(ft)<em>(G2)</em></strong></p>
<p class="p1"><strong>Notes: </strong>Follow through from parts (h)(i) and (h)(ii).</p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<br><hr><br>