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</div><h2>SL Paper 2</h2><div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>isotopes</em>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">A sample of silicon contains three isotopes.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-19_om_12.45.06.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.a.ii"></p>
<p class="p1">Calculate the relative atomic mass of silicon using this data.</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 class="p1">Describe the structure and bonding in silicon dioxide and carbon dioxide.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Draw the Lewis structure of NH<span class="s1">3</span>, state its shape and deduce and explain the H–N–H bond angle in \({\text{N}}{{\text{H}}_{\text{3}}}\).</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The graph below shows the boiling points of the hydrides of group 5. Discuss the variation in the boiling points.</p>
<p class="p1"><img src="images/Schermafbeelding_2016-10-19_om_12.58.00.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.b.ii"></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain, using diagrams, why CO and \({\text{N}}{{\text{O}}_{\text{2}}}\) are polar molecules but \({\text{C}}{{\text{O}}_{\text{2}}}\) is a non-polar molecule.</p>
<div class="marks">[5]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">atoms of the same element with the same atomic number/<em>Z</em>/same number of protons, but different mass numbers/<em>A</em>/different number of neutrons;</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((0.9223 \times 28) + (0.0468 \times 29) + (0.0309 \times 30)\);</p>
<p class="p1">28.1/28.11;</p>
<p class="p1"><em>Working must be shown to get </em><strong><em>[2]</em></strong><em>, do not accept 28.09 on its own (given in the data booklet).</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Silicon dioxide</em></p>
<p class="p1"><span style="text-decoration: underline;"><span class="s1">single </span></span>covalent (bonds);</p>
<p class="p1">network/giant covalent/ macromolecular / repeating tetrahedral units;</p>
<p class="p1"><em>Carbon dioxide</em></p>
<p class="p1"><span style="text-decoration: underline;"><span class="s1">double </span></span>covalent (bonds);</p>
<p class="p1">(simple / discrete) molecular;</p>
<p class="p1"><em>Marks may be obtained from suitable structural representations of SiO</em><sub><span class="s2"><em>2 </em></span></sub><em>and CO</em><sub><span class="s2"><em>2</em></span></sub><em>.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2016-10-19_om_12.54.32.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.bi/M"> ;</p>
<p class="p2"><em>Allow crosses or dots for lone-pair.</em></p>
<p class="p2">trigonal/triangular pyramidal;</p>
<p class="p2">(\( \sim \))107° / less than 109.5°;</p>
<p class="p2"><em>Do not allow ECF.</em></p>
<p class="p1">LP-BP repulsion \( > \) BP-BP repulsion / one lone pair and three bond pairs / lone pairs/non-bonding pairs repel more than bonding-pairs;</p>
<p class="p1"><em>Do not accept repulsion between atoms.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">boiling points increase going down the group (from \({\text{P}}{{\text{H}}_{\text{3}}}\) to \({\text{As}}{{\text{H}}_{\text{3}}}\) to \({\text{Sb}}{{\text{H}}_{\text{3}}}\));</p>
<p class="p1">\({M_{\text{r}}}\)/number of electrons/molecular size increases down the group;</p>
<p class="p1"><em>Accept electron cloud increases down the group for the second marking point.</em></p>
<p class="p1">greater dispersion/London/van der Waal’s forces;</p>
<p class="p1">\({\text{N}}{{\text{H}}_{\text{3}}}\)/ammonia has a higher boiling point than expected due to the <span style="text-decoration: underline;"><span class="s1">hydrogen bonding between </span></span>the molecules;</p>
<p class="p1"><em>Do not accept hydrogen bonding alone.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>CO</em>:</p>
<p class="p1"><em><img src="images/Schermafbeelding_2016-10-19_om_13.10.56.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.c_1/M"></em></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for showing the net dipole moment, or explaining it in words (unsymmetrical distribution of charge). </em></p>
<p class="p1">\(N{O_2}\):</p>
<p class="p1"><img src="images/Schermafbeelding_2016-10-19_om_13.11.49.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.c_2/M"></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct representation of the bent shape </em><strong><em>and [1] </em></strong><em>for showing the net dipole moment, or explaining it in words (unsymmetrical distribution of charge). </em></p>
<p class="p1">\(C{O_2}\):</p>
<p class="p1"><img src="images/Schermafbeelding_2016-10-19_om_13.12.41.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/07.c_3/M"></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct representation of the linear shape </em><strong><em>and [1] </em></strong><em>for showing the two equal but opposite dipoles or explaining it in words (symmetrical distribution of charge).</em></p>
<p class="p1"><em>For all three molecules, allow either arrow or arrow with bar for representation of dipole moment.</em></p>
<p class="p1"><em>Allow correct partial charges instead of the representation of the vector dipole moment. </em></p>
<p class="p1"><em>Ignore incorrect bonds. </em></p>
<p class="p1"><em>Lone pairs not needed. </em></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 class="p1">In general the definition of isotopes was correct in (a) (i), but there are still some candidates who stated “isotopes are elements” and not “atoms of the same element”.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Nearly everybody gave the correct answer of 28.1 for the relative atomic mass of silicon in (ii).</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (a) (iii) proved to be very difficult for the candidates. There was a lot of confusion about the two molecules; some candidates stated that they had the same double bond. Not many candidates mentioned the giant covalent structure for the silicon dioxide or the simple molecular structure for the carbon dioxide.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (b) (i) the majority of candidates drew the Lewis structure of the ammonia molecule correctly showing the lone pair of electrons and the correct shape and angle and (ii) was well answered by most candidates.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">They realised that \({\text{N}}{{\text{H}}_{\text{3}}}\) had a higher boiling point than \({\text{P}}{{\text{H}}_{\text{3}}}\) because of the intermolecular hydrogen bonding present in \({\text{N}}{{\text{H}}_{\text{3}}}\).</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">For (c) most answers given here showed diagrams of the three molecules, including distribution of charges, bonding and shapes. Some candidates gave very good answers showing a good understanding of the polarity of molecules.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">If white anhydrous copper(II) sulfate powder is left in the atmosphere it slowly absorbs water vapour giving the blue pentahydrated solid.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-30_om_04.56.53.png" alt="M11/4/CHEMI/SP2/ENG/TZ2/01_1"></p>
<p class="p1">It is difficult to measure the enthalpy change for this reaction directly. However, it is possible to measure the heat changes directly when both anhydrous and pentahydrated copper(II) sulfate are separately dissolved in water, and then use an energy cycle to determine the required enthalpy change value, <span class="s1">\(\Delta {H_{\text{x}}}\)</span>, indirectly.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-30_om_04.57.32.png" alt="M11/4/CHEMI/SP2/ENG/TZ2/01_2"></p>
</div>
<div class="specification">
<p class="p1">To determine \(\Delta {H_1}\) a student placed 50.0 g of water in a cup made of expanded polystyrene and used a data logger to measure the temperature. After two minutes she dissolved 3.99 g of anhydrous copper(II) sulfate in the water and continued to record the temperature while continuously stirring. She obtained the following results.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-30_om_05.00.06.png" alt="M11/4/CHEMI/SP2/ENG/TZ2/01.a"></p>
</div>
<div class="specification">
<p class="p1">To determine \(\Delta {H_2}\), 6.24 g of pentahydrated copper(II) sulfate was dissolved in 47.75 g of water. It was observed that the temperature of the solution decreased by 1.10 °C.</p>
</div>
<div class="specification">
<p class="p1">The magnitude (the value without the \( + \) or \( - \) sign) found in a data book for \(\Delta {H_{\text{x}}}\) is \({\text{78.0 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the amount, in mol, of anhydrous copper(II) sulfate dissolved in the 50.0 g of water.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine what the temperature rise would have been, in °C, if no heat had been lost to the surroundings.</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 class="p1">Calculate the heat change, in kJ, when 3.99 g of anhydrous copper(II) sulfate is dissolved in the water.</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 class="p1">Determine the value of \(\Delta {H_1}{\text{ in kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the amount, in mol, of water in 6.24 g of pentahydrated copper(II) sulfate.</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 class="p1">Determine the value of \(\Delta {H_2}\) in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</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 class="p1">Using the values obtained for \(\Delta {H_1}\) in (a) (iv) and \(\Delta {H_2}\) in (b) (ii), determine the value for \(\Delta {H_{\text{x}}}\) in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the percentage error obtained in this experiment. (If you did not obtain an answer for the experimental value of \(\Delta {H_{\text{x}}}\) then use the value \({\text{70.0 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), but this is <strong>not </strong>the true value.)</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 class="p1">The student recorded in her qualitative data that the anhydrous copper(II) sulfate she used was pale blue rather than completely white. Suggest a reason why it might have had this pale blue colour and deduce how this would have affected the value she obtained for \(\Delta {H_{\text{x}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{amount}} = \frac{{3.99}}{{159.61}} = 0.0250{\text{ (mol)}}\);</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">26.1 (°C);</p>
<p class="p1"><em>Accept answers between 26.0 and 26.2 ( °C)</em>.</p>
<p class="p1">temperature rise \( = 26.1 - 19.1 = 7.0\) (<span class="s1">°</span>C);</p>
<p class="p1"><em>Accept answers between 6.9 </em><span class="s1">°</span><em>C and (7.1 </em><span class="s1">°</span><em>C) .</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<p class="p1"><em>No ECF if both initial and final temperatures incorrect.</em></p>
<p class="p1"><em><img src="images/Schermafbeelding_2016-10-30_om_06.11.33.png" alt="M11/4/CHEMI/SP2/ENG/TZ2/01.a.ii/M"></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">heat change \( = \frac{{50.0}}{{1000}} \times 4.18 \times 7.0/50.0 \times 4.18 \times 7.0\);</p>
<p class="p1"><em>Accept 53.99 instead of 50.0 for mass.</em></p>
<p class="p1">\( = 1.5{\text{ (kJ)}}\);</p>
<p class="p1"><em>Allow 1.6 (kJ) if mass of 53.99 is used.</em></p>
<p class="p1"><em>Ignore sign.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {H_1} = \frac{{1.5}}{{0.0250}} = - 60{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Value must be negative to award mark.</em></p>
<p class="p1"><em>Accept answers in range –58.0 to –60.0.</em></p>
<p class="p1"><em>Allow –63 (kJ</em>\(\,\)<em>mol</em><sup><span class="s1"><em>–1</em></span></sup><em>) if 53.99 g is used in (iii).</em></p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{(amount of CuS}}{{\text{O}}_4} \bullet {\text{5}}{{\text{H}}_{\text{2}}}{\text{O}} = \frac{{6.24}}{{249.71}} = {\text{) 0.0250 (mol)}}\);</p>
<p class="p1">\({\text{(amount of }}{{\text{H}}_{\text{2}}}{\text{O in 0.0250 mol of CuS}}{{\text{O}}_{\text{4}}} \bullet {\text{5}}{{\text{H}}_{\text{2}}}{\text{O}} = 5 \times 0.0250 = {\text{) 0.125 (mol)}}\).</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((50.0 \times 4.18 \times 1.10 = ){\text{ }}230{\text{ (J)}}\);</p>
<p class="p1">\(\left( {\frac{{229.9}}{{(1000{\text{ }}0.0250)}} = } \right){\text{ }} + 9.20{\text{ (kJ)}}\);</p>
<p class="p1"><em>Accept mass of 47.75 or 53.99 instead of 50.00 giving answers of +.8.78 or </em><em>+9.9.</em></p>
<p class="p1"><em>Do not penalize missing + sign but penalize – sign unless charge already </em><em>penalized in (a) (iv).</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\Delta {H_{\text{x}}} = \Delta {H_2} - \Delta {H_2} = - 58.4 - ( + 9.20) = } \right){\text{ }} - 67.6{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\frac{{[ - 78.0 - ( - 67.6)]}}{{ - 78.0}} \times 100 = 13.3\% \);</p>
<p class="p1"><em>If 70.0 kJ</em>\(\,\)<em>mol</em><sup><span class="s1">−<em>1 </em></span></sup><em>is used accept 10.3%.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">the anhydrous copper(II) sulfate had already absorbed some water from the air / <em>OWTTE</em>;</p>
<p class="p1">the value would be less exothermic/less negative than expected as the temperature increase would be lower / less heat will be evolved when the anhydrous salt is dissolved in water / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not accept less <span style="text-decoration: underline;">without</span> a reason.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Question 1 was a generally difficult question for candidates, but most students did pick up marks thanks to the application of error carried forward (ecf). In part (a) students could usually calculate the moles of anhydrous copper sulphate.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Very few candidates could correctly extrapolate the graph to calculate a temperature rise of 7.0 ºC.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Calculating using \({\text{q}} = {\text{mc}}\Delta {\text{T}}\) also caused problems as many students used the mass of the copper sulphate instead of the mass of water, and some also added 273 to the temperature change. Many candidates also forgot to convert to kJ.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The last part of this question required the calculation of \(\Delta H\), here many students forgot the – symbol to indicate it was exothermic and so did not gain the mark.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) the problems were similar as students used incorrect values in their calculation but were able to obtain some marks by error carried forward.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) the problems were similar as students used incorrect values in their calculation but were able to obtain some marks by error carried forward.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) the problems were similar as students used incorrect values in their calculation but were able to obtain some marks by error carried forward.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (c) many could calculate the % error and apply Hess’s law to calculate \(\Delta H\). Throughout this question there were numerous instances of students using an incorrect number of significant figures and this led to another mark being lost.</p>
<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>
<br><hr><br><div class="specification">
<p class="p1">Iron tablets are often prescribed to patients. The iron in the tablets is commonly present as iron(II) sulfate, \({\text{FeS}}{{\text{O}}_{\text{4}}}\).</p>
<p class="p1">Two students carried out an experiment to determine the percentage by mass of iron in a brand of tablets marketed in Cyprus.</p>
<p class="p1"><em>Experimental Procedure</em>:</p>
<p class="p1">• <span class="Apple-converted-space"> </span>The students took five iron tablets and found that the <strong>total mass </strong>was 1.65 g.</p>
<p class="p1">• <span class="Apple-converted-space"> </span>The five tablets were ground and dissolved in \({\text{100 c}}{{\text{m}}^{\text{3}}}\) dilute sulfuric acid, \({{\text{H}}_{\text{2}}}{\text{S}}{{\text{O}}_{\text{4}}}{\text{(aq)}}\). The solution and washings were transferred to a \({\text{250 c}}{{\text{m}}^{\text{3}}}\) volumetric flask and made up to the mark with deionized (distilled) water.</p>
<p class="p1">• <span class="Apple-converted-space"> </span>\({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of this \({\text{F}}{{\text{e}}^{2 + }}{\text{(aq)}}\) solution was transferred using a pipette into a conical flask. Some dilute sulfuric acid was added.</p>
<p class="p1">• <span class="Apple-converted-space"> </span>A titration was then carried out using a \(5.00 \times {10^{ - 3}}{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) standard solution of potassium permanganate, \({\text{KMn}}{{\text{O}}_{\text{4}}}{\text{(aq)}}\). The end-point of the titration was indicated by a slight pink colour.</p>
<p class="p1">The following results were recorded.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-18_om_08.33.09.png" alt="M13/4/CHEMI/SP2/ENG/TZ2/01"></p>
</div>
<div class="specification">
<p class="p1">This experiment involves the following redox reaction.</p>
<p class="p1">\[{\text{5F}}{{\text{e}}^{2 + }}{\text{(aq)}} + {\text{MnO}}_4^ - {\text{(aq)}} + {\text{8}}{{\text{H}}^ + }{\text{(aq)}} \to {\text{5F}}{{\text{e}}^{3 + }}{\text{(aq)}} + {\text{M}}{{\text{n}}^{2 + }}{\text{(aq)}} + {\text{4}}{{\text{H}}_2}{\text{O(l)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">When the \({\text{F}}{{\text{e}}^{2 + }}{\text{(aq)}}\) solution was made up in the \({\text{250 c}}{{\text{m}}^{\text{3}}}\) volumetric flask, deionized (distilled) water was added until the bottom of its meniscus corresponded to the graduation mark on the flask. It was noticed that one of the two students measured the volume of the solution from the top of the meniscus instead of from the bottom. State the name of this type of error.</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 class="p1">State what is meant by the term <em>precision</em>.</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">When the students recorded the burette readings, following the titration with KMnO<sub><span class="s1">4 </span></sub>(aq),the top of the meniscus was used and not the bottom. Suggest why the students read the top of the meniscus and not the bottom.</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 class="p1">Define the term <em>reduction </em>in terms of electrons.</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 class="p1">Deduce the oxidation number of manganese in the \({\text{MnO}}_{\text{4}}^ - {\text{(aq)}}\) ion.</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 class="p1">Determine the amount, in mol, of \({\text{MnO}}_{\text{4}}^ - {\text{(aq)}}\), used in each accurate titre.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the amount, in mol, of \({\text{F}}{{\text{e}}^{2 + }}{\text{(aq)}}\) ions in \({\text{250 c}}{{\text{m}}^{\text{3}}}\) of the solution.</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 class="p1">Determine the total mass of iron, in g, in the \({\text{250 c}}{{\text{m}}^{\text{3}}}\) solution.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the percentage by mass of iron in the tablets.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">One titration was abandoned because a brown precipitate, manganese(IV) oxide, formed. State the chemical formula of this compound.</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">systematic (error);</p>
<p class="p1"><em>Do not accept parallax.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">closeness of agreement of a set of measurements to each other / <em>OWTTE</em>;</p>
<p class="p1"><em>Allow reproducibility/consistency of measurement / measurements with small </em><em>random errors/total amount of random errors/standard deviation / a more precise </em><em>value contains more significant figures / OWTTE.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">potassium permanganate has a very dark/deep (purple) colour so cannot read bottom of meniscus / <em>OWTTE</em>;</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">gain (of electrons);</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">VII / +7;</p>
<p class="p1">Do not accept <em>7 or 7+.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">volume \( = 16.80{\text{ }}({\text{c}}{{\text{m}}^3})/18.00 - 1.20{\text{ }}({\text{c}}{{\text{m}}^3})\);</p>
<p class="p1">amount \(\left( { = \frac{{16.80 \times 5.00 \times {{10}^{ - 3}}}}{{1000}}} \right) = 8.40 \times {10^{ - 5}}{\text{ (mol)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((8.40 \times {10^{ - 5}} \times 5 \times 10) = 4.20 \times {10^{ - 3}}{\text{ (mol per 250 c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((55.85 \times 4.20 \times {10^{ - 3}}) = 0.235{\text{ (g)}}\);</p>
<p class="p1"><em>Do not penalize if 56 g mol</em><sup><span class="s1"><em>–1 </em></span></sup><em>is used for atomic mass of iron.</em></p>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\frac{{{\text{0.235}} \times {\text{100}}}}{{{\text{1.65}}}} = } \right){\text{ 14.2% }}\);</p>
<p class="p1"><em>No ECF if answer >100 %.</em></p>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">MnO<sub>2</sub>;</p>
<div class="question_part_label">f.i.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Question 1 presented difficulties to many candidates. It is felt that the extended nature of the response distracted candidates from rather straight-forward quantitative chemistry calculations. Part (a) required candidates to determine whether an error was systematic or random and part (b) asked for the meaning of precision. Both of these questions are relevant to Topic 11.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Question 1 presented difficulties to many candidates. It is felt that the extended nature of the response distracted candidates from rather straight-forward quantitative chemistry calculations. Part (a) required candidates to determine whether an error was systematic or random and part (b) asked for the meaning of precision. Both of these questions are relevant to Topic 11.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Very few candidates related reading the top of the meniscus in the burette in part (c) to the colour of the KMnO<sub><span class="s1">4 </span></sub>solution. While it is acknowledged that few candidates would have performed this experiment themselves, it is reasonable that candidates should know the colour of KMnO<sub><span class="s1">4</span></sub>.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part d) (i) was answered very well with nearly all candidates correctly defining reduction.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In d) (ii) many candidates correctly deduced the oxidation number of Mn in MnO<sub><span class="s1">4</span></sub><span class="s2"></span>. Several lost marks, however, for not using acceptable notation. 7 by itself is not correct.</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (e) involved the calculations. Candidates were guided through the process of calculating number of moles from concentration and volume, finding mole ratios, and determining mass from moles and molar mass. Better candidates performed these calculations well. Weaker candidates often scored follow-through marks when working was shown.</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Part (e) involved the calculations. Candidates were guided through the process of calculating number of moles from concentration and volume, finding mole ratios, and determining mass from moles and molar mass. Better candidates performed these calculations well. Weaker candidates often scored follow-through marks when working was shown.</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Part (e) involved the calculations. Candidates were guided through the process of calculating number of moles from concentration and volume, finding mole ratios, and determining mass from moles and molar mass. Better candidates performed these calculations well. Weaker candidates often scored follow-through marks when working was shown.</p>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Part (e) involved the calculations. Candidates were guided through the process of calculating number of moles from concentration and volume, finding mole ratios, and determining mass from moles and molar mass. Better candidates performed these calculations well. Weaker candidates often scored follow-through marks when working was shown.</p>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In f) (i) a common error was to write Mn<sub><span class="s1">2</span></sub>O<sub><span class="s1">4 </span></sub>as the formula for manganese(IV) oxide. Also common was the use of the symbol Mg for manganese.</p>
<div class="question_part_label">f.i.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Ethanol is used as a component in fuel for some vehicles. One fuel mixture contains 10% by mass of ethanol in unleaded petrol (gasoline). This mixture is often referred to as Gasohol E10.</p>
</div>
<div class="specification">
<p class="p1">Assume that the other 90% by mass of Gasohol E10 is octane. 1.00 kg of this fuel mixture was burned.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OH(l)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}} \to {\text{2C}}{{\text{O}}_2}{\text{(g)}} + {\text{3}}{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - 1367{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \\ {{{\text{C}}_8}{{\text{H}}_{18}}{\text{(l)}} + {\text{12}}\frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {\text{8C}}{{\text{O}}_2}{\text{(g)}} + {\text{9}}{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - 5470{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \end{array}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the mass, in g, of ethanol and octane in 1.00 kg of the fuel mixture.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the amount, in mol, of ethanol and octane in 1.00 kg of the fuel mixture.</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 class="p1">Calculate the total amount of energy, in kJ, released when 1.00 kg of the fuel mixture is completely burned.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">If the fuel blend was vaporized before combustion, predict whether the amount of energy released would be greater, less or the same. Explain your answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(10% 1000 g =) 100 g ethanol <strong>and </strong>(90% 1000 g =) 900 g octane;</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(n{\text{(ethanol)}} = 2.17{\text{ mol}}\) <strong>and </strong>\(n{\text{(octane)}} = 7.88{\text{ mol}}\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({{\text{E}}_{{\text{released from ethanol}}}} = (2.17 \times 1367) = 2966{\text{ (kJ)}}\);</p>
<p class="p1">\({{\text{E}}_{{\text{released from octane}}}} = (7.88 \times 5470) = 43104{\text{ (kJ)}}\);</p>
<p class="p1">total energy released \( = (2966 + 43104) = 4.61 \times {10^4}{\text{ (kJ)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Accept answers using whole numbers for molar masses and rounding.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">greater;</p>
<p class="p1">fewer intermolecular bonds/forces to break / vaporization is endothermic / gaseous fuel has greater enthalpy than liquid fuel / <em>OWTTE</em>;</p>
<p class="p1"><em>M2 cannot be scored if M1 is incorrect.</em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates were able to calculate the mass of ethanol and octane in the fuel mixture. The most common error here involved not expressing the answer in the requested units of grams. A number of candidates expressed answers in kg.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Many candidates were able to calculate the number of mole of ethanol and octane in (a) (ii) but errors in the calculation of molar mass were seen regularly. Candidates should also use the relative atomic masses, expressed to two decimal places as in the Periodic Table provided in the Data Table.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (a) (iii) some candidates multiplied incorrect numbers together or did not consider the number of moles of each part of the fuel mixture. Some candidates just added the enthalpies of combustion provided in the questions.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (b) was found to be very challenging by candidates. Very few candidates had the depth of understanding to answer this question adequately.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Aspirin, one of the most widely used drugs in the world, can be prepared according to the equation given below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-19_om_08.15.13.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/01"></p>
</div>
<div class="specification">
<p class="p1">A student reacted some salicylic acid with excess ethanoic anhydride. Impure solid aspirin was obtained by filtering the reaction mixture. Pure aspirin was obtained by recrystallization. The following table shows the data recorded by the student.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-19_om_08.18.46.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/01.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the names of the <strong>three </strong>organic functional groups in aspirin.</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">Determine the amount, in mol, of salicylic acid, \({{\text{C}}_{\text{6}}}{{\text{H}}_{\text{4}}}{\text{(OH)COOH}}\), used.</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 class="p1">Calculate the theoretical yield, in g, of aspirin, \({{\text{C}}_{\text{6}}}{{\text{H}}_{\text{4}}}{\text{(OCOC}}{{\text{H}}_{\text{3}}}{\text{)COOH}}\).</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 class="p1">Determine the percentage yield of pure aspirin.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the number of significant figures associated with the mass of pure aspirin obtained, and calculate the percentage uncertainty associated with this mass.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Another student repeated the experiment and obtained an experimental yield of 150%. The teacher checked the calculations and found no errors. Comment on the result.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The following is a three-dimensional computer-generated representation of aspirin.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-19_om_09.08.18.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/01.b.vi_1"></p>
<p class="p1">A third student measured selected bond lengths in aspirin, using this computer program and reported the following data.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-19_om_09.09.34.png" alt="M09/4/CHEMI/SP2/ENG/TZ2/01.b.vi_2"></p>
<p class="p1">The following hypothesis was suggested by the student: “<em>Since all the measured </em><em>carbon-carbon bond lengths are equal, all the carbon-oxygen bond lengths must </em><em>also be equal in aspirin. Therefore, the C8–O4 bond length must be 1.4 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–10 </em></span></sup><em>m</em>”. Comment on whether or not this is a valid hypothesis.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.vi.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The other product of the reaction is ethanoic acid, \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\). Define an acid according to the Brønsted-Lowry theory and state the conjugate base of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\).</p>
<p class="p1">Brønsted-Lowry definition of an acid:</p>
<p class="p1">Conjugate base of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\):</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.vii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">carboxylic acid / carboxyl;</p>
<p class="p1">ester;</p>
<p class="p1"><em>Do not allow carbonyl / acid / ethanoate / formula(–COOH). </em></p>
<p class="p1">aryl group / benzene ring / phenyl;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({M_{\text{r}}}{\text{(}}{{\text{C}}_7}{{\text{H}}_6}{{\text{O}}_3}{\text{)}} = {\text{138.13}}\);</p>
<p class="p1">\(n = \left( {\frac{{3.15}}{{138.13}} = } \right){\text{ }}2.28 \times {10^{ - 2}}{\text{ (mol)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({M_{\text{r}}}{\text{(}}{{\text{C}}_9}{{\text{H}}_8}{{\text{O}}_4}{\text{)}} = 180.17\);</p>
<p class="p1">\(m = (180.17 \times 2.28 \times {10^{ - 2}} = ){\text{ }}4.11{\text{ (g)}}\);</p>
<p class="p2"><em>Accept range 4.10–4.14</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{(percentage yield}} = \frac{{2.50}}{{4.11}} \times 100 = ){\text{ }}60.8\% \);</p>
<p class="p1"><em>Accept 60–61%.</em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">3;</p>
<p class="p1">\({\text{(percentage uncertainty }} = \frac{{0.02}}{{2.50}} \times 100 = {\text{) }}0.80\% \);</p>
<p class="p1"><em>Allow 0.8%</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sample contaminated with ethanoic acid / aspirin not dry / impure sample;</p>
<p class="p1"><em>Accept specific example of a systematic error.</em></p>
<p class="p1"><em>Do not accept error in reading balance/weighing scale. </em></p>
<p class="p1"><em>Do not accept yield greater than 100%. </em></p>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">hypothesis not valid/incorrect;</p>
<p class="p1"><em>Accept any of the following for the second mark </em></p>
<p class="p2">C–O and C=O bond lengths will be different;</p>
<p class="p2">C2–O3 bond is longer than C8–O4 bond;</p>
<p class="p2">C8–O4 bond shorter than C2–O3 bond;</p>
<p class="p2">a CO single bond is longer than a CO double bond;</p>
<p class="p2"><em>Accept C8–O4 is a double bond hence shorter.</em></p>
<div class="question_part_label">b.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Brønsted-Lowry definition of an acid</em></p>
<p class="p1">proton/H<span class="s1">+</span>/hydrogen ion donor;</p>
<p class="p1"><em>Conjugate base of </em><span class="s3"><em>CH<sub>3</sub>COOH </em></span></p>
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{CO}}{{\text{O}}^ - }{\text{/C}}{{\text{H}}_3}{\text{CO}}_2^ - \);</p>
<p class="p1"><em>Do not accept C<sub>2</sub>H<sub>3</sub>O<sub>2</sub><sup>–</sup>/ethanoate.</em></p>
<div class="question_part_label">b.vii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (a) Some candidates gave the correct three names of the functional groups; however some candidates gave answers such as alkene, ketone, aldehyde, ether, and carbonyl.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates did not have problems determining the number of moles of salicylic acid used in (b) (i), although a few gave the answer with one significant digit only.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">For (ii) the majority of candidates correctly used the value obtained in (i) to calculate the theoretical yield of aspirin.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (iii) the percentage yield was calculated correctly in most cases.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The calculation of the percentage uncertainty (part (iv) proved to be a little more difficult, but many candidates gave the correct answer of 0.80%.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (v) was correctly answered by only a few candidates who stated that aspirin was contaminated or that the aspirin was not dry.</p>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Nearly all the candidates correctly stated that the suggested hypothesis was not valid in (vi), giving the right reasons.</p>
<div class="question_part_label">b.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (vii) most candidates gave the correct definition of an acid according to Brønsted-Lowry theory, although a few defined the acid according to Lewis theory. The conjugate base of the ethanoic acid was not always correct.</p>
<div class="question_part_label">b.vii.</div>
</div>
<br><hr><br><div class="specification">
<p>A class studied the equilibrium established when ethanoic acid and ethanol react together in the presence of a strong acid, using propanone as an inert solvent. The equation is given below.</p>
<p>\[{\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}} + {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{OH}} \rightleftharpoons {\text{C}}{{\text{H}}_{\text{3}}}{\text{COO}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} + {{\text{H}}_{\text{2}}}{\text{O}}\]</p>
<p>One group made the following <strong>initial mixture</strong>:</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-17_om_07.42.39.png" alt="M14/4/CHEMI/SP2/ENG/TZ2/01"></p>
</div>
<div class="specification">
<p>After one week, a \(5.00 \pm 0.05{\text{ c}}{{\text{m}}^{\text{3}}}\) sample of the final equilibrium mixture was pipetted out and titrated with \({\text{0.200 mol}}\,{\text{d}}{{\text{m}}^{ - 2}}\) aqueous sodium hydroxide to determine the amount of ethanoic acid remaining. The following titration results were obtained:</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-17_om_07.59.45.png" alt="M14/4/CHEMI/SP2/ENG/TZ2/01.d"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The density of ethanoic acid is \({\text{1.05 g}}\,{\text{c}}{{\text{m}}^{ - 3}}\). Determine the amount, in mol, of ethanoic acid present in the initial mixture.</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>The hydrochloric acid does not appear in the balanced equation for the reaction. State its function.</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>Identify the liquid whose volume has the greatest percentage uncertainty.</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>(i) Calculate the absolute uncertainty of the titre for Titration 1 (\({\text{27.60 c}}{{\text{m}}^{\text{3}}}\)).</p>
<p> </p>
<p>(ii) Suggest the average volume of alkali, required to neutralize the \({\text{5.00 c}}{{\text{m}}^{\text{3}}}\) sample, that the student should use.</p>
<p> </p>
<p> </p>
<p>(iii) \({\text{23.00 c}}{{\text{m}}^{\text{3}}}\) of this \({\text{0.200 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) aqueous sodium hydroxide reacted with the ethanoic acid in the \({\text{5.00 c}}{{\text{m}}^{\text{3}}}\) sample. Determine the amount, in mol, of ethanoic acid present in the \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of final equilibrium mixture.</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>Referring back to your answer for part (a), calculate the percentage of ethanoic acid converted to ethyl ethanoate.</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>Deduce the equilibrium constant expression for the reaction.</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>Outline how you could establish that the system had reached equilibrium at the end of one week.</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>Outline why changing the temperature has only a very small effect on the value of the equilibrium constant for this equilibrium.</p>
<div class="marks">[1]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how adding some ethyl ethanoate to the initial mixture would affect the amount of ethanoic acid converted to product.</p>
<div class="marks">[2]</div>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Propanone is used as the solvent because one compound involved in the equilibrium is insoluble in water. Identify this compound and explain why it is insoluble in water.</p>
<div class="marks">[2]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>one</strong> other reason why using water as a solvent would make the experiment less successful.</p>
<div class="marks">[1]</div>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({\text{M(C}}{{\text{H}}_3}{\text{COOH)}}\left( { = (4 \times 1.01) + (2 \times 12.01) + (2 \times 16.00)} \right) = 60.06{\text{ (g}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Accept 60 (g mol</em><sup><em>–1</em></sup><em>).</em></p>
<p>\({\text{mass (C}}{{\text{H}}_3}{\text{COOH)}}( = 5.00 \times 1.05) = 5.25{\text{ (g)}}\);</p>
<p>\(\frac{{5.25}}{{{\text{60.06}}}} = 0.0874{\text{ (mol)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Accept 0.0875 (comes from using Mr = 60 g mol</em><sup><em>–1</em></sup><em>).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>catalyst / <em>OWTTE</em>;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>hydrochloric acid/HCl;</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \( \pm 0.1/0.10{\text{ (c}}{{\text{m}}^3}{\text{)}}\);</p>
<p><em>Do </em><strong><em>not </em></strong><em>accept without ±.</em></p>
<p>(ii) \({\text{26.00 (c}}{{\text{m}}^3}{\text{)}}\);</p>
<p>(iii) \(0.200 \times \frac{{23.00}}{{1000}} = 0.0046\);</p>
<p>\({\text{0.0046}} \times \frac{{{\text{50.0}}}}{{{\text{5.00}}}} = {\text{0.0460 (mol)}}\);</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\frac{{0.0874 - 0.0460}}{{0.0874}} \times 100 = 47.4\% \);</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{(}}{K_{\text{c}}} = {\text{)}}\frac{{{\text{[C}}{{\text{H}}_3}{\text{COO}}{{\text{C}}_2}{{\text{H}}_3}{\text{][}}{{\text{H}}_2}{\text{O]}}}}{{{\text{[}}{{\text{C}}_2}{{\text{H}}_5}{\text{OH][C}}{{\text{H}}_3}{\text{COOH]}}}}\);</p>
<p><em>Do not penalize minor errors in formulas.</em></p>
<p><em>Accept </em>\({\text{(}}{K_{\text{c}}} = {\text{)}}\frac{{{\text{[}}ester{\text{][}}water{\text{]}}}}{{{\text{[}}ethanol / alcohol{\text{][(}}ethanoic{\text{)}} acid{\text{]}}}}\).</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>repeat the titration a day/week later (and result should be the same) / <em>OWTTE</em>;</p>
<p><em>Accept “concentrations/physical properties/macroscopic properties of the system </em><em>do not change”.</em></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>enthalpy change/\(\Delta H\) for the reaction is (very) small / <em>OWTTE</em>;</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>decreases (the amount of ethanoic acid converted);</p>
<p><em>Accept “increases amount of ethanoic acid present <span style="text-decoration: underline;">at equilibrium</span>” / OWTTE.</em></p>
<p>(adding product) shifts position of equilibrium towards reactants/LHS / increases the rate of the reverse reaction / <em>OWTTE</em>;</p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ethyl ethanoate/\({\text{C}}{{\text{H}}_{\text{3}}}{\text{COO}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}\);</p>
<p>forms only weak hydrogen bonds (to water);</p>
<p><em>Allow “does not hydrogen bond to water” </em>/ <em>“hydrocarbon sections too long” / OWTTE.</em></p>
<p><em>M2 can only be given only if M1 correct.</em></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(large excess of) water will shift the position of equilibrium (far to the left) / <em>OWTTE</em>;</p>
<p><em>Accept any other chemically sound response, such as “dissociation of ethanoic </em><em>acid would affect equilibrium”.</em></p>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found some elements of this question quite challenging but there were accessible marks of even the weakest candidates. The majority of students were able to determine the molar mass of ethanoic acid but some struggled to calculate the mass from the volume. Most candidates were able to identify the role of hydrochloric acid as a catalyst but some struggled to identify the liquid whose volume had the greatest uncertainty. Most candidates were able to calculate the absolute uncertainty of the titre but some lost a mark by omitting the \( + \)/\( - \) sign. Candidates did not identify the first titre as incongruent and simply averaged the three values which perhaps suggests limited experimental experience. Most students could determine an equilibrium constant expression, but many did not answer the question in (g) and did not suggest how the equilibrium could be established experimentally with many referring to the equal rate of the forward and backward reaction. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question asked and could not explain the small effect of temperature changes. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, many did not refer to its inability to form strong hydrogen bonds to water which was necessary for the mark. Quite a number of students came up with a valid reason why water would not be a suitable though some students appeared to have overlooked that the question asked for “one other reason” than that implied in (j).</p>
<div class="question_part_label">k.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Reaction kinetics can be investigated using the iodine clock reaction. The equations for two reactions that occur are given below.</p>
<p class="p1"><span class="Apple-converted-space"> </span>Reaction A: \({{\text{H}}_2}{{\text{O}}_2}{\text{(aq)}} + {\text{2}}{{\text{I}}^ - }{\text{(aq)}} + {\text{2}}{{\text{H}}^ + }{\text{(aq)}} \to {{\text{I}}_2}{\text{(aq)}} + {\text{2}}{{\text{H}}_2}{\text{O(l)}}\)</p>
<p class="p1"><span class="Apple-converted-space"> </span>Reaction B: \({{\text{I}}_2}{\text{(aq)}} + {\text{2}}{{\text{S}}_2}{\text{O}}_3^{2 - }{\text{(aq)}} \to {\text{2}}{{\text{I}}^ - }{\text{(aq)}} + {{\text{S}}_4}{\text{O}}_6^{2 - }{\text{(aq)}}\)</p>
<p class="p1">Reaction B is much faster than reaction A, so the iodine, \({{\text{I}}_{\text{2}}}\), formed in reaction A immediately reacts with thiosulfate ions, \({{\text{S}}_{\text{2}}}{\text{O}}_3^{2 - }\), in reaction B, before it can react with starch to form the familiar blue-black, starch-iodine complex.</p>
<p class="p1">In one experiment the reaction mixture contained:</p>
<p class="p1">\(5.0 \pm 0.1{\text{ c}}{{\text{m}}^{\text{3}}}\) of \({\text{2.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) hydrogen peroxide \({\text{(}}{{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}{\text{)}}\)</p>
<p class="p1">\(5.0 \pm 0.1{\text{ c}}{{\text{m}}^{\text{3}}}\) of 1% aqueous starch</p>
<p class="p1">\(20.0 \pm 0.1{\text{ c}}{{\text{m}}^{\text{3}}}\) of \({\text{1.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sulfuric acid (\({{\text{H}}_{\text{2}}}{\text{S}}{{\text{O}}_{\text{4}}}\))</p>
<p class="p1">\(20.0 \pm 0.1{\text{ c}}{{\text{m}}^{\text{3}}}\) of \({\text{0.0100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sodium thiosulfate (\({\text{N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}\))</p>
<p class="p1">\(50.0 \pm 0.1{\text{ c}}{{\text{m}}^{\text{3}}}\) of water with 0.0200 ± 0.0001 g of potassium iodide (KI) dissolved in it.</p>
<p class="p1">After 45 seconds this mixture suddenly changed from colourless to blue-black.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the amount, in mol, of KI in the reaction mixture.</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 class="p1">Calculate the amount, in mol, of \({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\) in the reaction mixture.</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">The concentration of iodide ions, \({{\text{I}}^ - }\), is assumed to be constant. Outline why this is a valid assumption.</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 class="p1">For this mixture the concentration of hydrogen peroxide, \({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\), can also be assumed to be constant. Explain why this is a valid assumption.</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">Explain why the solution suddenly changes colour.</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">Apart from the precision uncertainties given, state <strong>one </strong>source of error that could affect this investigation and identify whether this is a random error or a systematic error.</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">Calculate the total uncertainty, in \({\text{c}}{{\text{m}}^{\text{3}}}\), of the volume of the reaction mixture.</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">The colour change occurs when \(1.00 \times {10^{ - 4}}{\text{ mol}}\) of iodine has been formed. Use the total volume of the solution and the time taken, to calculate the rate of the reaction, including appropriate units.</p>
<div class="marks">[4]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">In a second experiment, the concentration of the hydrogen peroxide was decreased to \({\text{1.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) while all other concentrations and volumes remained unchanged. The colour change now occurred after 100 seconds. Explain why the reaction in this experiment is slower than in the original experiment.</p>
<div class="marks">[2]</div>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">In a third experiment, 0.100 g of a black powder was also added while all other concentrations and volumes remained unchanged. The time taken for the solution to change colour was now 20 seconds. Outline why you think the colour change occurred more rapidly and how you could confirm your hypothesis.</p>
<div class="marks">[2]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain why increasing the temperature also decreases the time required for the colour to change.</p>
<div class="marks">[2]</div>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\frac{{0.0200}}{{166.00}} = } \right){\text{ }}0.000120/1.20 \times {10^{ - 4}}{\text{ (mol)}}\);</p>
<p class="p1"><em>Accept 1.21 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–4</em></span></sup><em>.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((0.0050 \times 2.00 = ){\text{ }}0.010{\text{ (mol)}}/1.0 \times {10^{ - 2}}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">KI/\({{\text{I}}^ - }\)/potassium iodide/iodide (ion) (rapidly) reformed (in second stage of reaction);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">amount (in mol) of \({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\)/hydrogen peroxide \( \gg \) amount (in mol) \({\text{N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}{\text{/}}{{\text{S}}_{\text{2}}}{\text{O}}_3^{2 - }\)/sodium thiosulfate/ thiosulfate (ion);</p>
<p class="p1"><em>Accept amount (in mol) of H<sub>2</sub>O<sub>2</sub>/hydrogen peroxide </em>\( \gg \)<em> amount (in mol) KI/I</em><sup><span class="s1"><em>–</em></span></sup><em>/potassium iodide/iodide (ion).</em></p>
<p class="p1"><em>Accept “[H<sub>2</sub>O<sub>2</sub>]/hydrogen peroxide is in (large) excess/high concentration”.</em></p>
<p class="p1">(at end of reaction) [\({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\)] is only slightly decreased/virtually unchanged;</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">all \({\text{N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}\)/sodium thiosulfate/\({{\text{S}}_{\text{2}}}{\text{O}}_3^{2 - }\)/thiosulfate consumed/used up;</p>
<p class="p1"><em>Accept “iodine no longer converted to iodide”.</em></p>
<p class="p1">(free) iodine is formed / iodine reacts with starch / forms iodine-starch complex;</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Random: </em>synchronizing mixing and starting timing / (reaction) time / uncertainty of concentrations of solutions / temperature of solutions/room temperature;</p>
<p class="p1"><strong>OR</strong></p>
<p class="p1"><em>Systematic: </em>liquid remaining in measuring cylinders / not all solid KI transferred / precision uncertainty of stopwatch / ability of human eye to detect colour change / parallax error;</p>
<p class="p1"><em>Accept concentration of stock solution and human reaction time as systematic </em><em>error.</em></p>
<p class="p1"><em>Award M1 for correctly identifying a source of error and M2 for classifying it.</em></p>
<p class="p1"><em>Accept other valid sources of error.</em></p>
<p class="p1"><em>Do </em><strong><em>not </em></strong><em>accept “student making mistakes” / OWTTE.</em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((5 \times 0.1) = ( \pm )0.5{\text{ }}({\text{c}}{{\text{m}}^3})\);</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">total volume \( = 0.100{\text{ }}({\text{d}}{{\text{m}}^3})/100{\text{ }}({\text{c}}{{\text{m}}^3})\);</p>
<p class="p1">\(\left( {{\text{change in concentration}} = \frac{{1.00 \times {{10}^{ - 4}}}}{{{\text{0.100}}}} = } \right){\text{ }}1.00 \times {10^{ - 3}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\(\left( {{\text{rate}} = \frac{{1.00 \times {{10}^{ - 3}}}}{{45}} = } \right){\text{ }}2.2 \times {10^{ - 5}}\);</p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for the correct final answer.</em></p>
<p class="p1">\({\text{mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{{\text{s}}^{ - 1}}\);</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">fewer particles (per unit volume);</p>
<p class="p1">lower collision rate/collision frequency / less frequent collisions;</p>
<p class="p1"><em>Do </em><strong><em>not </em></strong><em>accept “less collisions”.</em></p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">acting as a catalyst / black powder reacts with thiosulfate ions / solid dissolves to give blue-black solution;</p>
<p class="p1"><em>Accept any other valid suggestion which will make colour change more rapid.</em></p>
<p class="p1"><em>For catalyst: </em>amount/mass of black powder remains constant / no new/different products formed / activation energy decreased;</p>
<p class="p1"><em>For other suggestions: </em>any appropriate way to test the hypothesis;</p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for valid hypothesis, </em><strong><em>[1] </em></strong><em>for appropriate method of testing the stated </em><em>hypothesis.</em></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">particles have greater (average) kinetic energy;</p>
<p class="p1"><em>Do not accept energy instead of kinetic energy.</em></p>
<p class="p1">more frequent collisions/collision frequency/number of collisions in a given time increases;</p>
<p class="p1"><em>Do </em><strong><em>not </em></strong><em>accept “more collisions” unless “less collisions” penalized in (i).</em></p>
<p class="p1">greater proportion of particles have energy \( \ge\) activation energy;</p>
<p class="p1"><em>Accept “particles have sufficient energy for collisions to be successful”.</em></p>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was a data based question based on quantitative chemistry and proved difficult for many candidates. Majority of candidates were able to gain almost full marks in parts (a) and (b). In part (c), many candidates failing to recognise that KI is rapidly reformed in the second stage of the reaction. In part (d), majority of candidates could not interpret the information correctly and hence lost two marks. Similarly, only 1 mark was obtained in part (e) where candidates recognized that iodine forms the starch-iodine complex. Many candidates managed the systematic and random errors in part (f). Calculation of uncertainty in part (g) was relatively well done by many candidates. In part (h), calculation of rate of reaction occasionally saw the erroneous use of volume in \({\text{c}}{{\text{m}}^{\text{3}}}\). In part (i), the candidates just repeated the stem of the question but obtained credit for the second mark for stating less frequent collisions. Part (j) was quite open ended and elicited a number of interesting responses (instead of acting as catalyst) whereas the suggested tests would not in fact confirm the hypothesis suggested. In part (k), the effect of increasing temperature on the rate of reaction proved easy for majority of candidates.</p>
<div class="question_part_label">k.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Consider the following reaction taking place at 375 °C in a \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) closed container.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{\text{C}}{{\text{l}}_{\text{2}}}{\text{(g)}} + {\text{S}}{{\text{O}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}{\text{(g)}}}&{\Delta {H^\Theta } = - 84.5{\text{ kJ}}} \end{array}\]</p>
</div>
<div class="specification">
<p class="p1">A solution of hydrogen peroxide, \({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\), is added to a solution of sodium iodide, NaI, acidified with hydrochloric acid, HCl. The yellow colour of the iodine, \({{\text{I}}_{\text{2}}}\), can be used to determine the rate of reaction.</p>
<p class="p1">\[{{\text{H}}_2}{{\text{O}}_2}{\text{(aq)}} + {\text{2NaI(aq)}} + {\text{2HCl(aq)}} \to {\text{2NaCl(aq)}} + {{\text{I}}_2}{\text{(aq)}} + {\text{2}}{{\text{H}}_2}{\text{O(l)}}\]</p>
<p class="p1">The experiment is repeated with some changes to the reaction conditions. For each of the changes that follow, predict, stating a reason, its effect on the rate of reaction.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the equilibrium constant expression, \({K_{\text{c}}}\), for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">If the temperature of the reaction is changed to 300 °C, predict, stating a reason in each case, whether the equilibrium concentration of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\) and the value of \({K_{\text{c}}}\) will increase or decrease.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">If the volume of the container is changed to \({\text{1.50 d}}{{\text{m}}^{\text{3}}}\), predict, stating a reason in each case, how this will affect the equilibrium concentration of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\) and the value of \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest, stating a reason, how the addition of a catalyst at constant pressure and temperature will affect the equilibrium concentration of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Graphing is an important method in the study of the rates of chemical reaction. Sketch a graph to show how the reactant concentration changes with time in a typical chemical reaction taking place in solution. Show how the rate of the reaction at a particular time can be determined.</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">The concentration of \({{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}\) is increased at constant temperature.</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 class="p1">The solution of NaI is prepared from a fine powder instead of large crystals.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain why the rate of a reaction increases when the temperature of the system increases.</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">\(({K_{\text{c}}}) = \frac{{{\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}}}{{{\text{[C}}{{\text{l}}_2}{\text{][S}}{{\text{O}}_2}{\text{]}}}}\);</p>
<p class="p1"><em>Ignore state symbols.</em></p>
<p class="p1"><em>Square brackets [ ] required for the equilibrium expression.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">value of \({K_{\text{c}}}\) increases;</p>
<p class="p1">\({\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}\) increases;</p>
<p class="p1">decrease in temperature favours (forward) reaction which is exothermic;</p>
<p class="p1"><em>Do not allow ECF.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">no effect on the value of \({K_{\text{c}}}\) / depends only on temperature;</p>
<p class="p1">\({\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}\) decreases;</p>
<p class="p1">increase in volume favours the reverse reaction which has more <span style="text-decoration: underline;">gaseous</span> moles;</p>
<p class="p1"><em>Do not allow ECF.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">no effect;</p>
<p class="p1">catalyst increases the rate of forward and reverse reactions (equally) / catalyst decreases activation energies (equally);</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-05_om_17.24.33.png" alt="N09/4/CHEMI/SP2/ENG/TZ0/05.b/M"></p>
<p class="p1">labelled axes (including appropriate units);</p>
<p class="p1">correctly drawn curve;</p>
<p class="p1">correctly drawn tangent;</p>
<p class="p1">rate equal to slope/gradient of tangent (at given time) / rate \( = \frac{y}{x}\) at time \(t\);</p>
<p class="p1"><strong><em>[3 max] </em></strong><em>for straight line graph or graph showing product formation.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">increases rate of reaction;</p>
<p class="p1">molecules (of \({{\text{H}}_2}{{\text{O}}_2}\)) collide more frequently / more collisions per unit time;</p>
<p class="p1"><em>No ECF here.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">no effect / (solution) remains unchanged;</p>
<p class="p1">solid NaI is not reacting / aqueous solution of NaI is reacting / surface area of NaI is not relevant in preparing the solution / <em>OWTTE</em>;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span style="text-decoration: underline;">kinetic</span> energy/speed of reacting molecules increases;</p>
<p class="p1">frequency of collisions increases per unit time;</p>
<p class="p1">greater proportion of molecules have energy greater than activation energy/\({E_{\text{a}}}\);</p>
<p class="p1"><em>Accept more energetic collisions.</em></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 class="p1">This was the most popular question in Section B and there was a generally pleasing level of performance. In (a)(i) most candidates were able to correctly deduce the equilibrium constant.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (ii) most candidates realized the exothermic reaction would be favoured, and gained full marks for their explanation. However, some candidates seemed not to appreciate that the specified temperature of 300 °C was lower than the original, and so based their answers on a temperature increase.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (iii) most forgot to mention the word gaseous when talking about the particles and many forgot that \({K_{\text{c}}}\) is only affected by temperature.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (iv) candidates correctly stated that concentration would not change and stated that reaction rates of both forward and reverse reactions would be affected equally. However, some answered ‘the addition of a catalyst does not affect \({K_{\text{c}}}\) or the position of equilibrium’ which did not answer the question and scored no marks as they had not commented on the concentration of \({\text{SOC}}{{\text{l}}_{\text{2}}}\).</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">For (b), although most students were able to correctly sketch the reactant concentration / time graph by labeling the axes and drawing an appropriate curve, some candidates incorrectly read the question and sketched product / concentration time curve. Drawing a tangent to determine the rate was not well known and only some were able to describe how the rate at a particular instant could be determined from the tangent to the curve.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (c), most scored the marks in (i) and were able to correctly describe the effect of concentration on rate in terms of collision theory, although some forgot to mention the frequency of the collisions just stating there would be more.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (ii), most candidates assumed that the rate would increase with surface area of the solute, and few realized that once the sodium iodide was in solution then the particle size of the solid used to make it was not relevant as it is the solution which reacts.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (d) was well answered but some candidates lost marks due to imprecise responses. For example it is the kinetic energy that increases with temperature, not energy. Also there were some errors such as the omission of the idea of frequency when referring to collisions and the belief that an increase in temperature caused a decrease in activation energy.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>A student used a pH meter to measure the pH of different samples of water at 298 K.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-23_om_05.52.17.png" alt="N14/4/CHEMI/SP2/ENG/TZ0/01"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use the data in the table to identify the most acidic water sample.</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 percentage uncertainty in the measured pH of the rain water sample.</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>Determine the ratio of \({\text{[}}{{\text{H}}^ + }{\text{]}}\) in bottled water to that in rain water.</p>
<p>\[\frac{{[{H^ + }]{\text{ }}in{\text{ }}bottled{\text{ }}water}}{{[{H^ + }]{\text{ }}in{\text{ }}rain{\text{ }}water}}\]</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>The acidity of non-polluted rain water is caused by dissolved carbon dioxide. State an equation for the reaction of carbon dioxide with water.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>river (water);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\frac{{0.1}}{{5.1}} \times 100 = } \right){\text{ }}2\% \);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>recognition that values differ by 2 Ph units / calculation of <strong>both </strong>\({\text{[}}{{\text{H}}^ + }{\text{]}}\) values;</p>
<p>\({\text{(ratio)}} = 1:100/{10^{ - 2}}/0.01/\frac{1}{{100}}\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for 100:1/100/10<sup>2</sup>.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{C}}{{\text{O}}_2} + {{\text{H}}_2}{\text{O}} \rightleftharpoons {\text{HCO}}_3^ - + {{\text{H}}^ + }/{\text{C}}{{\text{O}}_2} + {\text{2}}{{\text{H}}_2}{\text{O}} \rightleftharpoons {\text{HCO}}_3^ - + {{\text{H}}_3}{{\text{O}}^ + }/{\text{C}}{{\text{O}}_2} + {{\text{H}}_2}{\text{O}} \rightleftharpoons {{\text{H}}_2}{\text{C}}{{\text{O}}_3}\);</p>
<p><em>Do not penalize missing reversible arrow.</em></p>
<p><em>Do not accept equations with the carbonate ion as a product.</em></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>Parts (a) and (b) were correctly answered by the majority of candidates, the most common mistake being to assume that (b) referred to the sample identified in (a). Part (c) was rather more challenging and students frequently used the ratio of the pH rather than the ratio of the \({\text{[}}{{\text{H}}^ + }{\text{]}}\). Part (d) should have been very straightforward, but was often poorly answered with some innovative products. The absence of an equilibrium arrow was not penalised, but if it had been many students would have lost a mark.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Parts (a) and (b) were correctly answered by the majority of candidates, the most common mistake being to assume that (b) referred to the sample identified in (a). Part (c) was rather more challenging and students frequently used the ratio of the pH rather than the ratio of the \({\text{[}}{{\text{H}}^ + }{\text{]}}\). Part (d) should have been very straightforward, but was often poorly answered with some innovative products. The absence of an equilibrium arrow was not penalised, but if it had been many students would have lost a mark.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Parts (a) and (b) were correctly answered by the majority of candidates, the most common mistake being to assume that (b) referred to the sample identified in (a). Part (c) was rather more challenging and students frequently used the ratio of the pH rather than the ratio of the \({\text{[}}{{\text{H}}^ + }{\text{]}}\). Part (d) should have been very straightforward, but was often poorly answered with some innovative products. The absence of an equilibrium arrow was not penalised, but if it had been many students would have lost a mark.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Parts (a) and (b) were correctly answered by the majority of candidates, the most common mistake being to assume that (b) referred to the sample identified in (a). Part (c) was rather more challenging and students frequently used the ratio of the pH rather than the ratio of the \({\text{[}}{{\text{H}}^ + }{\text{]}}\). Part (d) should have been very straightforward, but was often poorly answered with some innovative products. The absence of an equilibrium arrow was not penalised, but if it had been many students would have lost a mark.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethanedioic acid is a diprotic acid. A student determined the value of x in the formula of hydrated ethanedioic acid, \({\text{HOOC}}\)–\({\text{COOH}} \bullet {\text{x}}{{\text{H}}_{\text{2}}}{\text{O}}\), by titrating a known mass of the acid with a \({\text{0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) solution of \({\text{NaOH(aq)}}\).</p>
<p>0.795 g of ethanedioic acid was dissolved in distilled water and made up to a total volume of \({\text{250 c}}{{\text{m}}^{\text{3}}}\) in a volumetric flask.</p>
<p>\({\text{25 c}}{{\text{m}}^{\text{3}}}\) of this ethanedioic acid solution was pipetted into a flask and titrated against aqueous sodium hydroxide using phenolphthalein as an indicator.</p>
<p>The titration was then repeated twice to obtain the results below.</p>
<p><img src="images/Schermafbeelding_2016-08-09_om_11.19.20.png" alt="M15/4/CHEMI/SP2/ENG/TZ1/01"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the uncertainty of the volume of NaOH added in \({\text{c}}{{\text{m}}^{\text{3}}}\).</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 average volume of NaOH added, in \({\text{c}}{{\text{m}}^{\text{3}}}\), in titrations 2 and 3, and then calculate the amount, in mol, of NaOH added.</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>(i) The equation for the reaction taking place in the titration is:</p>
<p style="text-align: center;">\({\text{HOOC}}\)−\({\text{COOH(aq)}} + {\text{2NaOH(aq)}} \to {\text{NaOOC}}\)−\({\text{COONa(aq)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(l)}}\)</p>
<p>Determine the amount, in mol, of ethanedioic acid that reacts with the average volume of \({\text{NaOH(aq)}}\).</p>
<p> </p>
<p> </p>
<p>(ii) Determine the amount, in mol, of ethanedioic acid present in \({\text{250 c}}{{\text{m}}^{\text{3}}}\) of the original solution.</p>
<p> </p>
<p> </p>
<p>(ii) Determine the molar mass of hydrated ethanedioic acid.</p>
<p> </p>
<p> </p>
<p>(iv) Determine the value of x in the formula \({\text{HOOC}}\)−\({\text{COOH}} \bullet {\text{x}}{{\text{H}}_{\text{2}}}{\text{O}}\).</p>
<div class="marks">[5]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the strongest intermolecular force in solid ethanedioic acid.</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>Deduce the Lewis (electron dot) structure of ethanedioic acid, HOOC−COOH.</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>\(( \pm )0.10{\text{ (c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<p><em>Accept </em><em>±</em><em>0.1 (cm</em><sup><em>3</em></sup><em>)</em>.</p>
<p><em>Accept (</em><em>±</em><em>)0.09 (cm</em><sup><em>3</em></sup><em>) (based on more accurate method of calculating propagation of uncertainties).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\frac{{12.70 + 12.50}}{2} = } \right)12.60{\text{ (c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<p>\((0.01260 \times 0.100 = )1.26 \times {10^{ - 3}}{\text{ (mol)}}\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \(\left( {\frac{{1.26 \times {{10}^{ - 3}}}}{2} = } \right)6.30 \times {10^{ - 4}}{\text{ (mol)}}\);</p>
<p>(ii) \((6.30 \times {10^{ - 4}} \times 10 = )6.30 \times {10^{ - 3}}{\text{ (mol)}}\);</p>
<p>(iii) \(\left( {\frac{{0.795}}{{6.30 \times {{10}^{ - 3}}}} = } \right)126{\text{ (gmo}}{{\text{l}}^{ - 1}})\);</p>
<p>(iv) \({M_{\text{r}}}{\text{(}}{{\text{C}}_2}{{\text{H}}_2}{{\text{O}}_4}{\text{)}} = 90.04\) <strong>and</strong> \({M_{\text{r}}}{\text{(}}{{\text{H}}_2}{\text{O)}} = 18.02\);</p>
<p>\({\text{x}} = 2\);</p>
<p><em>Accept integer values for M</em><sub><em>r</em></sub><em>’s of 90 and 18 and any reasonable calculation.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>if no working shown</em>.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>hydrogen bonding;</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-08-09_om_12.07.26.png" alt="M15/4/CHEMI/SP2/ENG/TZ1/01.e/M"> ;</p>
<p><em>Mark cannot be scored if lone pairs are missing on oxygens.</em></p>
<p><em>Accept any combination of lines, dots or crosses to represent electron pairs.</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;">
<p>This beginning of this question to state the uncertainty and to calculate the average volume added were well done and most students could also calculate the number of moles added. However, many candidates began to lose marks from this point onwards. Some could identify the ratio and correctly state the moles of ethanedioic acid, but fewer realized they needed to multiply 10 to get back to the original solution. The next step to calculate the \({M_{\text{r}}}\) was only correctly completed by a handful of students. Those that were correct with the molar mass always could calculate the moles of water, many students just guessed an answer though.</p>
<p>The intermolecular force was correctly described as hydrogen bonding, however there were some instances when it seemed unclear whether students realized this was between molecules and instead they seemed to suggest it was a bond between hydrogen and oxygen in the molecule. Some candidates could correctly draw the Lewis structure but a number of those lost marks for omitting the lone pairs on oxygen.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This beginning of this question to state the uncertainty and to calculate the average volume added were well done and most students could also calculate the number of moles added. However, many candidates began to lose marks from this point onwards. Some could identify the ratio and correctly state the moles of ethanedioic acid, but fewer realized they needed to multiply 10 to get back to the original solution. The next step to calculate the \({M_{\text{r}}}\) was only correctly completed by a handful of students. Those that were correct with the molar mass always could calculate the moles of water, many students just guessed an answer though.</p>
<p>The intermolecular force was correctly described as hydrogen bonding, however there was some instances when it seemed unclear whether students realized this was between molecules and instead they seemed to suggest it was a bond between hydrogen and oxygen in the molecule. Some candidates could correctly draw the Lewis structure but a number of those lost marks for omitting the lone pairs on oxygen.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This beginning of this question to state the uncertainty and to calculate the average volume added were well done and most students could also calculate the number of moles added. However, many candidates began to lose marks from this point onwards. Some could identify the ratio and correctly state the moles of ethanedioic acid, but fewer realized they needed to multiply 10 to get back to the original solution. The next step to calculate the \({M_{\text{r}}}\) was only correctly completed by a handful of students. Those that were correct with the molar mass always could calculate the moles of water, many students just guessed an answer though.</p>
<p>The intermolecular force was correctly described as hydrogen bonding, however there was some instances when it seemed unclear whether students realized this was between molecules and instead they seemed to suggest it was a bond between hydrogen and oxygen in the molecule. Some candidates could correctly draw the Lewis structure but a number of those lost marks for omitting the lone pairs on oxygen.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This beginning of this question to state the uncertainty and to calculate the average volume added were well done and most students could also calculate the number of moles added. However, many candidates began to lose marks from this point onwards. Some could identify the ratio and correctly state the moles of ethanedioic acid, but fewer realized they needed to multiply 10 to get back to the original solution. The next step to calculate the \({M_{\text{r}}}\) was only correctly completed by a handful of students. Those that were correct with the molar mass always could calculate the moles of water, many students just guessed an answer though.</p>
<p>The intermolecular force was correctly described as hydrogen bonding, however there was some instances when it seemed unclear whether students realized this was between molecules and instead they seemed to suggest it was a bond between hydrogen and oxygen in the molecule. Some candidates could correctly draw the Lewis structure but a number of those lost marks for omitting the lone pairs on oxygen.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This beginning of this question to state the uncertainty and to calculate the average volume added were well done and most students could also calculate the number of moles added. However, many candidates began to lose marks from this point onwards. Some could identify the ratio and correctly state the moles of ethanedioic acid, but fewer realized they needed to multiply 10 to get back to the original solution. The next step to calculate the \({M_{\text{r}}}\) was only correctly completed by a handful of students. Those that were correct with the molar mass always could calculate the moles of water, many students just guessed an answer though.</p>
<p>The intermolecular force was correctly described as hydrogen bonding, however there was some instances when it seemed unclear whether students realized this was between molecules and instead they seemed to suggest it was a bond between hydrogen and oxygen in the molecule. Some candidates could correctly draw the Lewis structure but a number of those lost marks for omitting the lone pairs on oxygen.</p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>The graph below shows pressure and volume data collected for a sample of carbon dioxide gas at 330 K.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-23_om_06.19.42.png" alt="N14/4/CHEMI/SP2/ENG/TZ0/02"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw a best-fit curve for the data on the graph.</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>Deduce the relationship between the pressure and volume of the sample of carbon dioxide gas.</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>Use the data point labelled <strong>X</strong> to determine the amount, in mol, of carbon dioxide gas in the sample.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>smooth curve through the data;</p>
<p><em>Do not accept a curve that passes through </em><strong><em>all </em></strong><em>of the points or an answer that joins the points using lines.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>inversely proportional / \({\text{V}}\alpha \frac{{\text{1}}}{{\text{p}}}\) / \({\text{P}}\alpha \frac{{\text{1}}}{{\text{V}}}\) ;</p>
<p><em>Accept inverse/negative correlation/relationship.</em></p>
<p><em>Do not accept </em>\({\text{V}} = \frac{{\text{1}}}{{\text{p}}}\) / \({\text{P}} = \frac{{\text{1}}}{{\text{V}}}\) <em>or descriptions like “one goes up as other goes down” / OWTTE.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(p = 21 \times {10^5}/2.1 \times {10^6}{\text{ (Pa)}}/2.1 \times {10^3}{\text{ (kPa)}}\) <strong>and</strong></p>
<p>\(V = 50 \times {10^{ - 6}}/5.0 \times {10^{ - 5}}{\text{ }}({{\text{m}}^3})/5.0 \times {10^{ - 2}}{\text{ }}({\text{d}}{{\text{m}}^3})\);</p>
<p>\(\left( {n = \frac{{pV}}{{RT}} = } \right){\text{ }}\frac{{2.1 \times {{10}^6} \times 5.0 \times {{10}^{ - 5}}}}{{8.31 \times 330}}\);</p>
<p>\(n = 0.038{\text{ (mol)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>For M3 apply ECF for correct computation of the equation the student has written, unless more than one mistake is made prior this point.</em></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>Almost all candidates gained the mark for drawing a best-fit curve through the data points on the graph, though some insisted in trying to put a straight line through obviously non-linear data. Many students identified the inverse proportionality of pressure and volume in Part (b), though the terminology often lacked precision. Most students could identify the correct equation to use in Part (c) in order to calculate the amount of gas from the specified data point, though quite often they had problems with units, either as a result of incorrectly reading the axis on the graph or as a result of conversion.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates gained the mark for drawing a best-fit curve through the data points on the graph, though some insisted in trying to put a straight line through obviously non-linear data. Many students identified the inverse proportionality of pressure and volume in Part (b), though the terminology often lacked precision. Most students could identify the correct equation to use in Part (c) in order to calculate the amount of gas from the specified data point, though quite often they had problems with units, either as a result of incorrectly reading the axis on the graph or as a result of conversion.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates gained the mark for drawing a best-fit curve through the data points on the graph, though some insisted in trying to put a straight line through obviously non-linear data. Many students identified the inverse proportionality of pressure and volume in Part (b), though the terminology often lacked precision. Most students could identify the correct equation to use in Part (c) in order to calculate the amount of gas from the specified data point, though quite often they had problems with units, either as a result of incorrectly reading the axis on the graph or as a result of conversion.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>A student carried out an experiment to determine the concentration of a hydrochloric acid solution and the enthalpy change of the reaction between aqueous sodium hydroxide and this acid by thermometric titration.</p>
<p>She added \({\text{5.0 c}}{{\text{m}}^{\text{3}}}\) portions of hydrochloric acid to \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{1.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sodium hydroxide solution in a glass beaker until the total volume of acid added was \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\), measuring the temperature of the mixture each time. Her results are plotted in the graph below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-09_om_18.48.41_1.png" alt="M15/4/CHEMI/SP2/ENG/TZ2/01"></p>
<p>The initial temperature of both solutions was the same.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>By drawing appropriate lines, determine the volume of hydrochloric acid required to completely neutralize the \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of sodium hydroxide solution.</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>Determine the concentration of the hydrochloric acid, including units.</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>Determine the change in temperature, \(\Delta T\).</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>Calculate the enthalpy change, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for the reaction of hydrochloric acid and sodium hydroxide solution.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The accepted theoretical value from the literature of this enthalpy change is \( - 58{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Calculate the percentage error correct to <strong>two </strong>significant figures.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest the major source of error in the experimental procedure <strong>and </strong>an improvement that could be made to reduce it.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-08-09_om_18.48.41.png" alt="M15/4/CHEMI/SP2/ENG/TZ2/01/M"></p>
<p>drawing best-fit straight lines to show volume;</p>
<p><em>There should be approximately the same number of points above and below for both lines. </em></p>
<p>\({\text{27.0 (c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<p><em>Accept any value in the range 26.0 to 28.0 (cm</em><em><sup>3</sup></em><em>) if consistent with student’s annotation on the graph. </em></p>
<p><em>Accept ECF for volumes in the range 27.0–30.0 cm</em><em><sup>3 </sup></em><em>if it corresponds to maximum temperature of line drawn. </em></p>
<p><em>Volumes should be given to one decimal place.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{[HCl]}} = \frac{{1.00 \times 0.0250}}{{0.0270}}\);</p>
<p>\( = 0.926{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\);</p>
<p><em>Volume of 26.0 gives [HCl</em><em>] = 0.962 mol dm</em><em><sup>–3</sup></em><em>. Volume of 28.0 gives [HCl</em><em>] = 0.893 mol dm</em><em><sup>–3</sup></em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer with units.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for correct concentration without units.</em></p>
<p><em>Accept M, mol L</em><sup><em>–1</em></sup><em>, mol/dm</em><sup><em>3 </em></sup>as units.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\((30.2 - 25.0 = )( + )5.2{\rm{ (^\circ C/K)}}\);</p>
<p><em>Any accepted value must be consistent with student’s annotation on the graph but do not accept </em>\(\Delta T < 5.1\)<em>.</em></p>
<p><em>Accept </em>\(( + )5.6{\rm{ (^\circ C/K) }}\)<em> (ie, taking into account heat loss and using T when volume = 0.0 cm</em><em><sup>3</sup></em><em>).</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{Q}} = (m \times c \times \Delta T = (25.0 + 27.0) \times 4.18 \times 5.2 = 1130.272{\text{ J}} = )1.13{\text{ (kJ)}}\);</p>
<p>\(n = (1.00 \times 0.0250 = )0.0250{\text{ (mol)}}\);</p>
<p>\(\Delta H = \left( { - \frac{Q}{n} = - 45210.88{\text{ J}}\,{\text{mo}}{{\text{l}}^{ - 1}} = } \right) - 45{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for +45 (kJ mol </em><em><sup>–1</sup></em><em>).</em></p>
<p><em>Apply ECF for M3 even if both m and </em>\(\Delta T\)<em> are incorrect in M1.</em></p>
<p><em>Accept use of c = 4.2 Jg</em><em><sup>–1</sup></em><em>K</em><em><sup>–1</sup></em><em>.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\left| {\frac{{ - 45 - ( - 58)}}{{( - 58)}}} \right| \times 100 = } \right)22(\% )\);</p>
<p><em>Answer must be given to two significant figures.</em></p>
<p><em>Ignore sign.</em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>heat losses;</p>
<p>better (thermal) insulation / using a polystyrene cup / putting a lid on the beaker;</p>
<p><em>Accept other suitable methods for better thermal insulation, but do not accept just "use a calorimeter" without reference to insulation.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some teachers commented that thermometric titrations are not listed in the syllabus nor are they included as prescribed experiments for the new guide. A similar question was asked in a past examination and thermometric titrations are covered in Topic 5. The intention is that any data based questions should be accessible to all students, who have the appropriate practical experience. It is not intended that such questions will be constrained to experiments on this list. Most candidates were not able to access the first mark with by construction of lines of best fit. Some drew a 'dot to dot' curve, but with most just providing a construction line dropping down from the maximum point on the graph, which did allow them to access the second mark. There was some transferred error for 1aii), but many were not able to carry out the calculation. Scoring for the temperature difference was dependent upon on the candidate's annotations, with a few extending the line of best fit back to the y axis. In the calculation of enthalpy change, the total mass of the solutions was often incorrect, but some salvaged the subsequent marks. The calculation of percentage error was generally done well, but a good third of the candidates failed to read the question stem and did not give the answer to two significant figures. The concept of heat loss in the experiment was well understood, but the solution was very often too vague.</p>
<div class="question_part_label">b.iv.</div>
</div>
<br><hr><br><div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The standard enthalpy change of three combustion reactions are given below.</p>
<p>\[\begin{array}{*{20}{l}} {{{\text{H}}_2}{\text{(g)}} + \frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {{\text{H}}_2}{\text{O(l)}}}&{\Delta H = - 286{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \\ {{{\text{C}}_3}{{\text{H}}_8}{\text{(g)}} + {\text{5}}{{\text{O}}_2}{\text{(g)}} \to {\text{3C}}{{\text{O}}_2}{\text{(g)}} + {\text{4}}{{\text{H}}_2}{\text{O(l)}}}&{\Delta H = - 2219{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \\ {{\text{C(s)}} + {{\text{O}}_2}{\text{(g)}} \to {\text{C}}{{\text{O}}_2}{\text{(g)}}}&{\Delta H = - 394{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \end{array}\]</p>
<p>Determine the change in enthalpy, \(\Delta H\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for the formation of propane in the following reaction.</p>
<p>\({\text{3C(s)}} + {\text{4}}{{\text{H}}_2}{\text{(g)}} \to {{\text{C}}_3}{{\text{H}}_8}{\text{(g)}}\)</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">A catalyst provides an alternative pathway for a reaction, lowering the activation energy, \({E_{\text{a}}}\). Define the term <em>activation energy</em>, \({E_{\text{a}}}\).</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">Sketch <strong>two </strong>Maxwell–Boltzmann energy distribution curves for a fixed amount of gas at two different temperatures, \({T_{\text{1}}}\) and \({T_2}{\text{ }}({T_2} > {T_1})\) and label <strong>both </strong>axes.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-19_om_05.17.47.png" alt="M13/4/CHEMI/SP2/ENG/TZ2/02.c"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{4}}{{\text{H}}_{\text{2}}}{\text{O(l)}} + {\text{3C}}{{\text{O}}_2}{\text{(g)}} \to {{\text{C}}_3}{{\text{H}}_8}{\text{(g)}} + {\text{5}}{{\text{O}}_2}{\text{(g)}}\) <span class="Apple-converted-space"> </span>\(\Delta H =<span class="Apple-converted-space"> </span>+ {\text{2219 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">\({\text{4}}{{\text{H}}_2}{\text{(g)}} + {\text{2}}{{\text{O}}_2}{\text{(g)}} \to {\text{4}}{{\text{H}}_2}{\text{O(l)}}\): <span class="Apple-converted-space"> </span>\(\Delta H = \left( {{\text{(}} - {\text{286)(4)}} = } \right){\text{ }} - {\text{1144 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">\({\text{3C(s)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}} \to {\text{3C}}{{\text{O}}_2}{\text{(g)}}\): <span class="Apple-converted-space"> </span>\(\Delta H = \left( {{\text{(}} - {\text{394)(3)}} = } \right){\text{ }} - {\text{1182 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">\(\Delta H = \left( {{\text{(}} - {\text{286)(4)}} + {\text{(}} - {\text{394)(3)}} + {\text{(}} + {\text{2219)}} = } \right){\text{ }} - {\text{107 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span style="text-decoration: underline;">minimum</span> energy needed (by reactants/colliding particles) to react/start/initiate a reaction / for a successful collision;</p>
<p class="p1"><em>Allow energy difference between reactants and transition state</em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>x-axis label: </em>(kinetic) energy/(K)E <strong>and </strong><em>y-axis label: </em>fraction of molecules/particles / probability density;</p>
<p class="p1"><em>Allow velocity/speed for x-axis.</em></p>
<p class="p1"><em>Allow frequency / number of molecules/particles or (kinetic) energy distribution for y-axis.</em></p>
<p class="p1">correct shape of a Maxwell–Boltzmann energy distribution curve;</p>
<p class="p1"><em>Do not award mark if curve is symmetric, does not start at zero or if it crosses x-axis.</em></p>
<p class="p2"><img src="images/Schermafbeelding_2016-09-19_om_05.20.56.png" alt="M13/4/CHEMI/SP2/ENG/TZ2/02.c/M"></p>
<p class="p1">two curves represented with second curve for \({T_2} > {T_1}\) to right of first curve, lower</p>
<p class="p1">peak than first curve and after the curves cross \({T_2}\) curve needs to be above \({T_1}\) curve;</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 class="p1">In contrast, question 2 a) which involved Hess’s Law calculation, was answered correctly by candidates of all capabilities.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definition of activation energy in part b) was reasonably well answered, with some candidates losing marks for omitting the word minimum from their response. However, it is disappointing that even very good candidates sometimes fail to score marks for definitions.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Several candidates sketched very clear, correct Maxwell-Boltzmann curves in part c). Most scored at least 1 mark for this question. Some did not know what labels to put on the axes. Some did not realise that the area under the curves represents the total number of particles so as temperature increases the peak of the curve shifts to the right and is lower than the peak at the lower temperature.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Urea, (H<sub>2</sub>N)<sub>2</sub>CO, is excreted by mammals and can be used as a fertilizer.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the percentage by mass of nitrogen in urea to two decimal places using section 6 of the data booklet.</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>Suggest how the percentage of nitrogen affects the cost of transport of fertilizers giving a reason.</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>The structural formula of urea is shown.</p>
<p><img src="images/Schermafbeelding_2018-08-09_om_13.51.02.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.b_01"></p>
<p>Predict the electron domain and molecular geometries at the nitrogen and carbon atoms, applying the VSEPR theory.</p>
<p><img src="images/Schermafbeelding_2018-08-09_om_13.52.37.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.b_02"></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>Urea can be made by reacting potassium cyanate, KNCO, with ammonium chloride, NH<sub>4</sub>Cl.</p>
<p> KNCO(aq) + NH<sub>4</sub>Cl(aq) → (H<sub>2</sub>N)<sub>2</sub>CO(aq) + KCl(aq)</p>
<p>Determine the maximum mass of urea that could be formed from 50.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> potassium cyanate solution.</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>Urea can also be made by the direct combination of ammonia and carbon dioxide gases.</p>
<p> 2NH<sub>3</sub>(g) + CO<sub>2</sub>(g) \( \rightleftharpoons \) (H<sub>2</sub>N)<sub>2</sub>CO(g) + H<sub>2</sub>O(g) Δ<em>H </em>< 0</p>
<p>Predict, with a reason, the effect on the equilibrium constant, <em>K</em><sub>c</sub>, when the temperature is increased.</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>Suggest one reason why urea is a solid and ammonia a gas at room temperature.</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>Sketch <strong>two </strong>different hydrogen bonding interactions between ammonia and water.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The combustion of urea produces water, carbon dioxide and nitrogen.</p>
<p>Formulate a balanced equation for the reaction.</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>The mass spectrum of urea is shown below.</p>
<p><img src="images/Schermafbeelding_2018-08-09_om_14.15.23.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.g_01"></p>
<p>Identify the species responsible for the peaks at <em>m</em>/<em>z </em>= 60 and 44.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </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>The IR spectrum of urea is shown below.</p>
<p><img src="images/Schermafbeelding_2018-08-09_om_14.21.30.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.h_01"></p>
<p>Identify the bonds causing the absorptions at 3450 cm<sup>−1</sup> and 1700 cm<sup>−1</sup> using section 26 of the data booklet.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </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>Predict the number of signals in the <sup>1</sup>H NMR spectrum of urea.</p>
<div class="marks">[1]</div>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>molar mass of urea <strong>«</strong>= 4 × 1.01 + 2 × 14.01 + 12.01 + 16.00<strong>» =</strong> 60.07 <strong>«</strong>g mol<sup>–1</sup><strong>»</strong></p>
<p><strong>«</strong>% nitrogen = \(\frac{{2 \times 14.01}}{{60.07}}\) × 100 =<strong>» </strong>46.65 <strong>«</strong>%<strong>»</strong></p>
<p> </p>
<p> </p>
<p>Award <strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for final answer not to </em><em>two decimal places.</em></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><strong>«</strong>cost<strong>» </strong>increases <strong><em>AND </em></strong>lower N% <strong>«</strong>means higher cost of transportation per unit of nitrogen<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>cost<strong>» </strong>increases <strong><em>AND </em></strong>inefficient/too much/about half mass not nitrogen</p>
<p> </p>
<p><em>Accept other reasonable explanations.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept answers referring to </em><em>safety/explosions.</em></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><img src="images/Schermafbeelding_2018-08-09_om_13.53.16.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.b/M"></p>
<p> </p>
<p><em>Note: Urea’s structure is more complex </em><em>than that predicted from VSEPR theory.</em></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><em>n</em>(KNCO) <strong>«</strong>= 0.0500 dm<sup>3</sup> × 0.100 mol dm<sup>–3</sup><strong>» =</strong> 5.00 × 10<sup>–3</sup> <strong>«</strong>mol<strong>»</strong></p>
<p><strong>«</strong>mass of urea = 5.00 × 10<sup>–3</sup> mol × 60.07 g mol<sup>–1</sup><strong>» =</strong> 0.300 <strong>«</strong>g<strong>»</strong></p>
<p> </p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></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><strong>«</strong><em>K</em><sub>c</sub><strong>» </strong>decreases <strong><em>AND </em></strong>reaction is exothermic</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong><em>K</em>c<strong>» </strong>decreases <strong><em>AND</em></strong> Δ<em>H </em>is negative</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong><em>K</em><sub>c</sub><strong>» </strong>decreases <strong><em>AND </em></strong>reverse/endothermic reaction is favoured</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any one of:</em></p>
<p>urea has greater molar mass</p>
<p>urea has greater electron density/greater London/dispersion</p>
<p>urea has more hydrogen bonding</p>
<p>urea is more polar/has greater dipole moment</p>
<p> </p>
<p><em>Accept “urea has larger size/greater </em><em>van der Waals forces”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “urea has greater </em><em>intermolecular forces/IMF”.</em></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><img src="images/Schermafbeelding_2018-08-09_om_14.09.21.png" alt="M18/4/CHEMI/SP2/ENG/TZ1/01.e.ii/M"></p>
<p> </p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for each correct interaction.</em></p>
<p><em>If lone pairs are shown on N or O, then </em><em>the lone pair on N or one of the lone </em><em>pairs on O </em><strong><em>MUST </em></strong><em>be involved in the </em><em>H-bond.</em></p>
<p><em>Penalize solid line to represent </em><em>H-bonding only once.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2(H<sub>2</sub>N)<sub>2</sub>CO(s) + 3O<sub>2</sub>(g) → 4H<sub>2</sub>O(l) + 2CO<sub>2</sub>(g) + 2N<sub>2</sub>(g)</p>
<p>correct coefficients on LHS</p>
<p>correct coefficients on RHS</p>
<p> </p>
<p><em>Accept (H</em><sub><em>2</em></sub><em>N)</em><sub><em>2</em></sub><em>CO(s) +</em> \(\frac{3}{2}\)<em>O</em><sub><em>2</em></sub><em>(g) → </em><em>2H</em><sub><em>2</em></sub><em>O(l) +</em><em> </em><em>CO</em><sub><em>2</em></sub><em>(g) +</em><em> </em><em>N</em><sub><em>2</em></sub><em>(g).</em></p>
<p><em>Accept any correct ratio.</em></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><em>60:</em> CON<sub>2</sub>H<sub>4</sub><sup>+</sup></p>
<p><em>44:</em> CONH<sub>2</sub><sup>+</sup></p>
<p> </p>
<p><em>Accept “molecular ion”.</em></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><em>3450 cm</em><sup><em>–</em><em>1</em></sup><em>:</em> N–H</p>
<p><em>1700 cm<sup>–1</sup>:</em> C=O</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “O</em><em>–</em><em>H” for 3450 cm<sup>–1</sup></em><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>1</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">i.</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.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.</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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">i.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">A student decided to determine the molecular mass of a solid monoprotic acid, HA, by titrating a solution of a known mass of the acid.</p>
<p class="p2">The following recordings were made.</p>
<p class="p2" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-14_om_15.26.17.png" alt="M13/4/CHEMI/SP2/ENG/TZ1/01"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the mass of the acid and determine its absolute and percentage uncertainty.</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">This known mass of acid, HA, was then dissolved in distilled water to form a \({\text{100.0 c}}{{\text{m}}^{\text{3}}}\) solution in a volumetric flask. A \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) sample of this solution reacted with \({\text{12.1 c}}{{\text{m}}^{\text{3}}}\) of a \({\text{0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) NaOH solution. Calculate the molar mass of the acid.</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">The percentage composition of HA is 70.56% carbon, 23.50% oxygen and 5.94% hydrogen. Determine its empirical formula.</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">A solution of HA is a weak acid. Distinguish between a <em>weak acid </em>and a <em>strong acid</em>.</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 class="p1">Describe an experiment, other than measuring the pH, to distinguish HA from a strong acid of the same concentration and describe what would be observed.</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">0.675 (g) ± 0.002 (g);</p>
<p class="p1"><em>Percentage uncertainty</em>: 0.3%;</p>
<p class="p1"><em>Accept answers correct to one, two or three significant figures for percentage uncertainty.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>In 25.0 cm<sup>3</sup>: </em>\({n_{{\text{HA}}}} = 1.21 \times {10^{ - 3}}{\text{ (mol)}}\);</p>
<p class="p1"><em>In 100 cm<sup>3</sup>: </em>\({n_{{\text{HA}}}} = 4.84 \times {10^{ - 3}}{\text{ (mol)}}\);</p>
<p class="p1">\({\text{M }}\left( { = \frac{{0.675}}{{4.84 \times {{10}^{ - 3}}}}} \right) = 139{\text{ (g}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Accept suitable alternative methods.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({n_{\text{C}}}:{\text{ }}\left( {\frac{{70.56}}{{12.01}} = } \right){\text{ }}5.88\) <strong>and<span class="Apple-converted-space"> </span></strong>\({n_{\text{O}}}:{\text{ }}\left( {\frac{{23.50}}{{16}} = } \right){\text{ }}1.47\) <strong>and </strong>\({n_{\text{H}}}:{\text{ }}\left( {\frac{{5.94}}{{1.01}} = } \right){\text{ }}5.88\)</p>
<p class="p1">\({{\text{C}}_{\text{4}}}{{\text{H}}_{\text{4}}}{\text{O}}\);</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Accept answers using integer values of molar mass.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">weak acids partially dissociated/ionized <strong>and </strong>strong acids completely dissociated/ionized (in solution/water) / <em>OWTTE</em>;</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">strong acids have greater electrical conductivity / weak acids have lower electrical conductivity;</p>
<p class="p1"><strong>OR</strong></p>
<p class="p1">adding a reactive metal / carbonate / hydrogen carbonate;</p>
<p class="p1"><em>Accept correct example.</em></p>
<p class="p1">stronger effervescence with strong acids / weaker with weak acids / <em>OWTTE</em>;</p>
<p class="p1"><strong>OR</strong></p>
<p class="p1">adding a strong base;</p>
<p class="p1"><em>Accept correct example.</em></p>
<p class="p1">strong acid would increase more in temperature / weak acids increase less in temperature;</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 class="p1">Many students lost easy marks as they forgot to propagate uncertainties.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Many candidates struggled with the concept of mole and the dilution factor added to the difficulty.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most students determined the empirical formula correctly.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Weak and strong acids were generally correctly defined, though sometimes they were defined in terms of pH.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The conductivity test appeared frequently and was well described. Many candidates used a strong based, but then went on to describe a titration method.</p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Airbags are an important safety feature in vehicles. Sodium azide, potassium nitrate and silicon dioxide have been used in one design of airbag.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-03_om_14.35.39.png" alt="N11/4/CHEMI/SP2/ENG/TZ0/01"></p>
<p class="p1">Sodium azide, a toxic compound, undergoes the following decomposition reaction under certain conditions.</p>
<p class="p1">\[{\text{2Na}}{{\text{N}}_{\text{3}}}{\text{(s)}} \to {\text{2Na(s)}} + {\text{3}}{{\text{N}}_{\text{2}}}{\text{(g)}}\]</p>
<p class="p1">Two students looked at data in a simulated computer-based experiment to determine the volume of nitrogen generated in an airbag.</p>
</div>
<div class="specification">
<p class="p1">Using the simulation programme, the students entered the following data into the computer.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-03_om_15.10.05.png" alt="N11/4/CHEMI/SP2/ENG/TZ0/01.b"></p>
</div>
<div class="specification">
<p class="p1">The chemistry of the airbag was found to involve three reactions. The first reaction involves the decomposition of sodium azide to form sodium and nitrogen. In the second reaction, potassium nitrate reacts with sodium.</p>
<p class="p1">\[{\text{2KN}}{{\text{O}}_3}{\text{(s)}} + {\text{10Na(s)}} \to {{\text{K}}_2}{\text{O(s)}} + {\text{5N}}{{\text{a}}_2}{\text{O(s)}} + {{\text{N}}_2}{\text{(g)}}\]</p>
</div>
<div class="specification">
<p class="p1">An airbag inflates very quickly.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Sodium azide involves ionic bonding, and metallic bonding is present in sodium. Describe ionic and metallic bonding.</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">State the number of significant figures for the temperature, mass and pressure data.</p>
<p class="p1"><em>T</em>:</p>
<p class="p1"><em>m</em>:</p>
<p class="p1"><em>p</em>:</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 class="p1">Calculate the amount, in mol, of sodium azide present.</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 class="p1">Determine the volume of nitrogen gas, in \({\text{d}}{{\text{m}}^{\text{3}}}\), produced under these conditions based on this reaction.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest why it is necessary for sodium to be removed by this reaction.</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 class="p1">The metal oxides from the second reaction then react with silicon dioxide to form a silicate in the third reaction.</p>
<p class="p1">\[{{\text{K}}_2}{\text{O(s)}} + {\text{N}}{{\text{a}}_2}{\text{O(s)}} + {\text{Si}}{{\text{O}}_2}{\text{(s)}} \to {\text{N}}{{\text{a}}_2}{{\text{K}}_2}{\text{Si}}{{\text{O}}_4}{\text{(s)}}\]</p>
<p class="p1">Draw the structure of silicon dioxide and state the type of bonding present.</p>
<p class="p1">Structure:</p>
<p class="p1">Bonding:</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">It takes just 0.0400 seconds to produce nitrogen gas in the simulation. Calculate the average rate of formation of nitrogen in (b) (iii) and state its units.</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 class="p1">The students also discovered that a small increase in temperature (<em>e.g. </em>10 °C) causes a large increase (<em>e.g. </em>doubling) in the rate of this reaction. State <strong>one </strong>reason for this.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Ionic:</em></p>
<p class="p1">(electrostatic) attraction between oppositely charged ions/cations and anions/positive and negative ions;</p>
<p class="p1"><em>Do not accept answers such as compounds containing metal and non-metal are </em><em>ionic.</em></p>
<p class="p1"><em>Metallic:</em></p>
<p class="p1">(electrostatic attraction between lattice of) <span style="text-decoration: underline;">positive</span> ions/cations/nuclei and delocalized electrons / (bed of) <span style="text-decoration: underline;">positive</span> ions/cations/nuclei in sea of electrons / <em>OWTTE</em>;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>T</em>: 4 <strong>and </strong><em>m</em>: 3 <strong>and </strong><em>p</em>: 3;</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(n = (65.0/65.02) = 1.00{\text{ (mol)}}\);</p>
<p class="p1"><em>No penalty for using whole number atomic masses.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(n{\text{(}}{{\text{N}}_{\text{2}}}{\text{)}} = \left( {\frac{3}{2} \times 1.00 = } \right){\text{ }}1.50{\text{ (mol)}}\);</p>
<p class="p1">\(T = \left( {(25.00 + 273.15) = } \right){\text{ }}298.15{\text{ K}}/(25.00 + 273) = 298{\text{ K}}\);</p>
<p class="p1">\(p = 1.08 \times 1.01 \times {10^5}{\text{ Pa}}/1.08 \times 1.01 \times {10^2}{\text{ kPa}}/1.09 \times {10^5}{\text{ Pa}}/1.09 \times {10^2}{\text{ kPa}}\);</p>
<p class="p1">\(V = \frac{{nRT}}{p} = \frac{{({{10}^3})(1.50)(8.31)(298.15/298)}}{{(1.08 \times 1.01 \times {{10}^5})}} = 34.1{\text{ (d}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><strong><em>[3 max] </em></strong><em>for 0.0341 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>) or 22.7 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<p class="p1"><em>Award </em><strong><em>[3 max] </em></strong><em>for 34.4 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<p class="p1"><em>Award </em><strong><em>[2 max] </em></strong><em>for 22.9 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<p class="p1"><em>Award </em><strong><em>[2 max] </em></strong><em>for 0.0227 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<p class="p1"><em>Award </em><strong><em>[2 max] </em></strong><em>for 0.034 (dm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sodium could react violently with any moisture present / sodium is (potentially) explosive / sodium (is dangerous since it is flammable when it) forms hydrogen on contact with water / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not accept answers such as sodium is dangerous or sodium is too reactive.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Structure:</em></p>
<p class="p1">drawing of giant structure showing tetrahedrally arranged silicon;</p>
<p class="p1"><em>Minimum information required for mark is Si and 4 O atoms, in a tetrahedral </em><em>arrangement (not 90° </em><em>bond angles) but with each of the 4 O atoms showing an </em><em>extension bond.</em></p>
<p class="p1"><em><img src="images/Schermafbeelding_2016-11-03_om_16.43.44.png" alt="N11/4/CHEMI/SP2/ENG/TZ0/01.c.ii/M"></em></p>
<p class="p1"> </p>
<p class="p1"><em>Bonding:</em></p>
<p class="p1">(giant/network/3D) covalent;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\frac{{34.1}}{{0.0400}}} \right) = 853{\text{ d}}{{\text{m}}^{\text{3}}}{{\text{s}}^{ - 1}}/\left( {\frac{{1.50}}{{0.0400}}} \right) = 37.5{\text{ mol}}\,{{\text{s}}^{ - 1}}\);</p>
<p class="p1"><em>Accept 851 dm</em><sup><span class="s1"><em>3</em></span></sup><em>s</em><sup><span class="s1"><em>–1</em></span></sup><em>.</em></p>
<p class="p1"><em>Units required for mark.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">more energetic collisions / more species have energy \( \geqslant {E_{\text{a}}}\);</p>
<p class="p1"><em>Allow more frequent collisions / species collide more often</em>.</p>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Question 1 tested a number of concepts and very few students were able to gain all the marks available. Part (a) was fairly well done and students could explain ionic and metallic bonding although weak students did not explain the bonding but simply stated that ionic was between metal and non metal etc.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Surprisingly in part (b) (i) a number of students could not state the number of significant figures and many stated that 25.00 was 2 SF instead of 4.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (b) (ii) required the calculation of the amount of substance in moles, and was generally well done although some did not realise the value was in kg and so had a value 1000 times too small.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) (iii) a number of students lost marks for forgetting to convert temperature or pressure and also to multiply the amount by 1.5. Also many forgot to convert the pressure into kPa if they wanted their answer in \({\text{d}}{{\text{m}}^{\text{3}}}\). However, most students could obtain at least one of the marks available.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (c) (i) many did not relate the removal of sodium to the potential for it to react with water and instead gave a far too vague of answer that it was reactive. However, the very best students were able to answer this hypothesis type question and stated that sodium reacts with water. This proved a good discriminator at the top end of the candidature.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c)(ii) was very poorly answered and the majority of students believed that \({\text{Si}}{{\text{O}}_{\text{2}}}\) had a similar structure to \({\text{C}}{{\text{O}}_{\text{2}}}\). The very few students that drew a giant structure often did not then show a tetrahedral arrangement of the atoms, however most did realise that the bonding was covalent.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (d) was generally well answered and most students calculated a rate from their results although some lost the mark for incorrect or absent units.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most students could then successfully explain why the rate increased with temperature. However a minority forgot to refer to time (i.e. more frequent) in relation to collisions.</p>
<div class="question_part_label">d.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>The rate of the acid-catalysed iodination of propanone can be followed by measuring how the concentration of iodine changes with time.</p>
<p style="text-align: center;">I<sub>2</sub>(aq) + CH<sub>3</sub>COCH<sub>3</sub>(aq) → CH<sub>3</sub>COCH<sub>2</sub>I(aq) + H<sup>+</sup>(aq) + I<sup>−</sup>(aq)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how the change of iodine concentration could be followed.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A student produced these results with [H<sup>+</sup>] = 0.15 mol\(\,\)dm<sup>−3</sup>. Propanone and acid were in excess and iodine was the limiting reagent.</p>
<p>Determine the relative rate of reaction when [H<sup>+</sup>] = 0.15 mol\(\,\)dm<sup>−3</sup>.</p>
<p><img src="images/Schermafbeelding_2017-09-22_om_15.59.41.png" alt="M17/4/CHEMI/SP2/ENG/TZ1/01.a.ii"></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>The student then carried out the experiment at other acid concentrations with all other conditions remaining unchanged.</p>
<p style="text-align: center;"><img 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"></p>
<p>State and explain the relationship between the rate of reaction and the concentration of acid.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>use a colorimeter/monitor the change in colour<br><em><strong>OR</strong></em><br>take samples <em><strong>AND</strong> </em>quench <em><strong>AND</strong> </em>titrate «with thiosulfate»</p>
<p> </p>
<p><em>Accept change in pH.</em><br><em>Accept change in conductivity.</em><br><em>Accept other suitable methods.</em><br><em>Method must imply “change”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2017-09-22_om_16.03.25.png" alt="M17/4/CHEMI/SP2/ENG/TZ1/01.a.ii/M"></p>
<p>best fit line</p>
<p>relative rate of reaction = «\(\frac{{ - \Delta y}}{{\Delta x}} = \frac{{ - \left( {0.43 - 0.80} \right)}}{{50}}\) =» 0.0074/7.4 x 10<sup>−3</sup></p>
<p> </p>
<p><em>Best fit line required for M1.</em></p>
<p><em>M2 is independent of M1.<br></em></p>
<p><em>Accept range from 0.0070 to 0.0080.</em></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><em>Relationship:</em><br>rate of reaction is «directly» proportional to [H<sup>+</sup>]<br><em><strong>OR</strong></em><br>rate of reaction \(\alpha \) [H<sup>+</sup>] </p>
<p><em>Explanation:</em><br>more frequent collisions/more collisions per unit of time «at greater concentration»</p>
<p> </p>
<p><em>Accept "doubling the concentration doubles the rate".</em></p>
<p><em>Do <strong>not</strong> accept “rate increases as concentration increases”.</em></p>
<p><em>Do <strong>not</strong> accept collisions more likely.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</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>
<br><hr><br><div class="specification">
<p class="p1">Two groups of students (Group A and Group B) carried out a project* on the chemistry of some group 7 elements (the halogens) and their compounds.</p>
<p class="p1"> </p>
<p class="p1"><span class="s1"><em>* </em></span><em>Adapted from J Derek Woollins, (2009), Inorganic Experiments and Open University, (2008), Exploring the Molecular World.</em></p>
</div>
<div class="specification">
<p class="p1">In the first part of the project, the two groups had a sample of iodine monochloride (a corrosive brown liquid) prepared for them by their teacher using the following reaction.</p>
<p class="p1">\[{{\text{I}}_{\text{2}}}{\text{(s)}} + {\text{C}}{{\text{l}}_{\text{2}}}{\text{(g)}} \to {\text{2ICl(l)}}\]</p>
<p class="p1">The following data were recorded.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-23_om_06.15.25.png" alt="N12/4/CHEMI/SP2/ENG/TZ0/01.a"></p>
</div>
<div class="specification">
<p class="p1">The students reacted ICl(l) with CsBr(s) to form a yellow solid, \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\), as one of the products. \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\) has been found to produce very pure CsCl(s) which is used in cancer treatment.</p>
<p class="p1">To confirm the composition of the yellow solid, Group A determined the amount of iodine in 0.2015 g of \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\) by titrating it with \({\text{0.0500 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}{\text{(aq)}}\). The following data were recorded for the titration.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-23_om_06.22.04.png" alt="N12/4/CHEMI/SP2/ENG/TZ0/01.c"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>State the number of significant figures for the masses of \({{\text{I}}_{\text{2}}}{\text{(s)}}\) and ICl(l).</p>
<p class="p2"> </p>
<p class="p1">\({{\text{I}}_{\text{2}}}{\text{(s)}}\):</p>
<p class="p2"> </p>
<p class="p1">ICl (l):</p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>The iodine used in the reaction was in excess. Determine the theoretical yield, in g, of ICl(l).</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Calculate the percentage yield of ICl(l).</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>Using a digital thermometer, the students discovered that the reaction was exothermic. State the sign of the enthalpy change of the reaction, \(\Delta H\).</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 class="p1">Although the molar masses of ICl and <span class="s1">\({\rm{B}}{{\rm{r}}_2}\) </span>are very similar, the boiling point of ICl is 97.4 °C and that of <span class="s1">\({\rm{B}}{{\rm{r}}_2}\) </span>is 58.8 °C. Explain the difference in these boiling points in terms of the intermolecular forces present in each liquid.</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">(i) <span class="Apple-converted-space"> </span>Calculate the percentage of iodine by mass in \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\), correct to <strong>three</strong> significant figures.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>State the volume, in \({\text{c}}{{\text{m}}^{\text{3}}}\), of \({\text{0.0500 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}{\text{(aq)}}\) used in the titration.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Determine the amount, in mol, of \({\text{0.0500 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ N}}{{\text{a}}_{\text{2}}}{{\text{S}}_{\text{2}}}{{\text{O}}_{\text{3}}}{\text{(aq)}}\) added in the titration.</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>The overall reaction taking place during the titration is:</p>
<p class="p1">\[{\text{CsICl(s)}} + {\text{2N}}{{\text{a}}_2}{{\text{S}}_2}{{\text{O}}_3}{\text{(aq)}} \to {\text{NaCl(aq)}} + {\text{N}}{{\text{a}}_2}{{\text{S}}_4}{{\text{O}}_6}{\text{(aq)}} + {\text{CsCl(aq)}} + {\text{NaI(aq)}}\]</p>
<p class="p1">Calculate the amount, in mol, of iodine atoms, I, present in the sample of \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\).</p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>Calculate the mass of iodine, in g, present in the sample of \({\text{CsIC}}{{\text{l}}_{\text{2}}}\)</p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>Determine the percentage by mass of iodine in the sample of \({\text{CsIC}}{{\text{l}}_{\text{2}}}{\text{(s)}}\), correct to <strong>three </strong>significant figures, using your answer from (v).</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 class="p1">(i) <span class="Apple-converted-space"> </span><em>I</em><sub><span class="s1"><em>2</em></span></sub><em>(s)</em>: four/4 <strong>and </strong><em>ICl(l)</em>: three/3;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\(n{\text{(C}}{{\text{l}}_2}{\text{)}} = {\text{ }}\left( {\frac{{2.24}}{{2 \times 35.45}} = } \right){\text{ }}0.0316/3.16 \times {10^{ - 2}}{\text{ (mol)}}\);</p>
<p class="p1"><em>Allow answers such as 3.2 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–2</em></span></sup><em>/0.032/3.15</em> \( \times \) <em>10</em><sup><span class="s1"><em>–2</em></span></sup><em>/0.0315 (mol).</em></p>
<p class="p1">\(n{\text{(ICl)}} = 2 \times 0.0316/0.0632/6.32 \times {10^{ - 2}}{\text{ (mol)}}\);</p>
<p class="p1"><em>Allow answers such as 6.4 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–2</em></span></sup><em>/0.064/6.3 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–2</em></span></sup><em>/0.063 (mol).</em></p>
<p class="p2">\(m{\text{(ICl)}} = (0.0632 \times 162.35 = ){\text{ }}10.3{\text{ (g)}}\)<span class="s3">;</span></p>
<p class="p1"><em>Allow answers in range 10.2 to 10.4 (g).</em></p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\(\left( {\frac{{8.60}}{{10.3}} \times 100 = } \right){\text{ }}83.5\% \);</p>
<p class="p1"><em>Allow answers in the range of 82.5 to 84.5%.</em></p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>negative/–/minus/ < 0;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Br<sub><span class="s1">2 </span></sub>has London/dispersion/van der Waals’ forces/vdW <strong>and </strong>ICl has (London/dispersion/van der Waals’ forces/vdW and) dipole–dipole forces;</p>
<p class="p1">dipole–dipole forces are stronger than London/dispersion/van der Waals’/vdW forces;</p>
<p class="p1"><em>Allow induced dipole-induced dipole forces for London forces.</em></p>
<p class="p1"><em>Allow interactions instead of forces.</em></p>
<p class="p1"><em>Do not allow ICl polar and Br</em><sub><span class="s1"><em>2 </em></span></sub><em>non-polar for M1.</em></p>
<p class="p1"><em>Name of IMF in both molecules is required for M1 and idea of dipole-dipole </em><em>stronger than vdW is required for M2.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(\left( {\frac{{126.90}}{{330.71}} \times 100} \right) = 38.4\% \);</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\((25.25 - 1.05) = 24.20{\text{ (c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<p class="p1"><em>Accept 24.2 (cm</em><sup><span class="s1"><em>3</em></span></sup><em>) but not 24 (cm</em><sup><span class="s1"><em>3</em></span></sup><em>).</em></p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\(\left( {\frac{{24.20 \times 5.00 \times {{10}^{ - 2}}}}{{1000}}} \right) = 1.21 \times {10^{ - 3}}/0.00121{\text{ (mol)}}\);</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>\((0.5 \times 1.21 \times {10^{ - 3}}) = 6.05 \times {10^{ - 4}}/0.000605{\text{ (mol)}}\);</p>
<p class="p1"><em>Accept alternate method e.g. (0.384/126.9 </em>\( \times \)<em> 0.2015) = 6.10 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–4</em></span></sup><em>/0.000610 (mol).</em></p>
<p class="p2"><span class="s2">(v) <span class="Apple-converted-space"> </span></span>\((126.90 \times 6.05 \times {10^{ - 4}}) = 7.68 \times {10^{ - 2}}/0.0768{\text{ (g)}}\)<span class="s2">;</span></p>
<p class="p1"><em>Accept alternate method e.g. (6.10 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–4</em></span></sup> \( \times \) <em>126.9) or (0.2015 </em>\( \times \)<em> 0.384) </em>= <em>7.74 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>–2</em></span></sup><em>/0.00774 (g).</em></p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>\(\left( {\frac{{7.68 \times {{10}^{ - 2}}}}{{0.2015}} \times 100} \right) = 38.1\% \);</p>
<p class="p1"><em>Answer must be given to <span style="text-decoration: underline;">three</span> significant figures.</em></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 class="p1">This was a data based question based on quantitative chemistry. Majority of candidates were able to gain almost full marks with some candidates failing to recognise that chlorine is the limiting reagent in part (a) (ii). Some candidates calculated percentage experimental error instead of percentage yield whereas some other candidates did not pay attention to significant digits.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b), explaining the difference in the boiling points of Br<sub><span class="s1">2 </span></sub>and ICl in terms of the intermolecular forces presented a challenge to many candidates. Explanations were vague or unclear and in some cases incorrect in terms of the intermolecular forces present.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (c), calculations of moles of iodine occasionally saw the erroneous use of Avogadro’s constant.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>An acidic sample of a waste solution containing Sn<sup>2+</sup>(aq) reacted completely with K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub> solution to form Sn<sup>4+</sup>(aq).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the oxidation half-equation.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the overall redox equation for the reaction between acidic Sn<sup>2+</sup>(aq) and Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup>(aq), using section 24 of the data booklet.</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>Calculate the percentage uncertainty for the mass of K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>(s) from the given data.</p>
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"></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>The sample of K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>(s) in (i) was dissolved in distilled water to form 0.100 dm<sup>3 </sup>solution. Calculate its molar concentration.</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>10.0 cm<sup>3</sup> of the waste sample required 13.24 cm<sup>3</sup> of the K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub> solution. Calculate the molar concentration of Sn<sup>2+</sup>(aq) in the waste sample.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Sn<sup>2+</sup>(aq) → Sn<sup>4+</sup>(aq) + 2e<sup>–</sup></p>
<p> </p>
<p><em>Accept equilibrium sign.</em></p>
<p><em>Accept Sn<sup>2+</sup>(aq) – 2e<sup>–</sup> → Sn<sup>4+</sup>(aq).</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup>(aq) + 14H<sup>+</sup>(aq) + 3Sn<sup>2+</sup>(aq) → 2Cr<sup>3+</sup>(aq) + 7H<sub>2</sub>O(l) + 3Sn<sup>4+</sup>(aq)</p>
<p> </p>
<p><em>Accept equilibrium sign.</em></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>«13.239 g ± 0.002 g so percentage uncertainty» 0.02 «%»</p>
<p> </p>
<p><em>Accept answers given to greater precision, such as 0.0151%.</em></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>« [K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>] = \(\frac{{13.239{\text{ g}}}}{{294.20{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}} \times 0.100{\text{ d}}{{\text{m}}^3}}}\) =» 0.450 «mol\(\,\)dm<sup>–3</sup>»</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>n(Sn<sup>2+</sup>) = «0.450 mol\(\,\)dm<sup>–3</sup> x 0.01324 dm<sup>3</sup> x \(\frac{{3\,mol}}{{1\,mol}}\) =» 0.0179 «mol»</p>
<p>«[Sn<sup>2+</sup>] = \(\frac{{0.0179\,mol}}{{0.0100\,mol}}\) =» 1.79 «mol\(\,\)dm<sup>–3</sup>»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.iii.</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">b.iii.</div>
</div>
<br><hr><br><div class="specification">
<p>There are many oxides of silver with the formula Ag<sub>x</sub>O<sub>y</sub>. All of them decompose into their elements when heated strongly.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>After heating 3.760 g of a silver oxide 3.275 g of silver remained. Determine the empirical formula of Ag<sub>x</sub>O<sub>y</sub>.</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>Suggest why the final mass of solid obtained by heating 3.760 g of Ag<sub>x</sub>O<sub>y</sub> may be greater than 3.275 g giving one design improvement for your proposed suggestion. Ignore any possible errors in the weighing procedure.</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>Naturally occurring silver is composed of two stable isotopes, <sup>107</sup>Ag and <sup>109</sup>Ag.</p>
<p>The relative atomic mass of silver is 107.87. Show that isotope <sup>107</sup>Ag is more abundant.</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>Some oxides of period 3, such as Na<sub>2</sub>O and P<sub>4</sub>O<sub>10</sub>, react with water. A spatula measure of each oxide was added to a separate 100 cm<sup>3</sup> flask containing distilled water and a few drops of bromothymol blue indicator.</p>
<p>The indicator is listed in section 22 of the data booklet.</p>
<p>Deduce the colour of the resulting solution and the chemical formula of the product formed after reaction with water for each oxide.</p>
<p><img 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jsH0+8YF2xb3g/P4mKwbanCDZBgjDkL35GPie9K/gCj9wePu3yqTm2o0aASHvpBfbdHFKG68U0ccHnQe8MFq04vZrNjNvRzijEklcAUzFvyZOD+sBVY/fL7wYUnfd738fLaddhkq8Liwmexr+MqjDnfxmNF4sf6TTz70zdwUn6+qVgHbTte2uIGsACr8rM1p6HHf6wRt0+e4h8COdyGD+SnQYg0bNgqz6waDOA45Dz49xB3k6HlZfy06YS/E+q7gLafbcYW+cLA95E/K3wQNFJqvgsOrJBnqhWjrq0bOQWPoqTkB/ivjz6kGr4ZYrq3T8Y0+QLe+zj4gX8tOZ/3CLZu/ddI2Yq6Pf46iBoNd+pBwDgDDz72oH8m47NWNJ30LzTt87biZy81wSvu/1r1nzFrjPocfwNNTuU8/QCNu5r9Q5xBr/+AydMmi0v0OHzwd7ggOnGiDW7d2Xe1WYS98xt4SP6deQ97mn4T+E0SV4lW+J8uMxwLPsddvmDmh/lDnBZhqfrQc/4UjovtpnvwQPH38ajl6/js3V/hYN+jeMKOSusN6jkOWrMD1PtT83Ov1N1+RHrTWi01xDVLT1XK4MyVkJlAqiARPw7l2IiRJmZH6p8H1yRP6wvaM6DkGUZzpLLG44HZllFmSyGOWZmRZlr1O1aSes/bpYqwmZ8WKS9PzJhUzWJSzpvgrK9odR5lFiWUWZnieK1ZUFrxRotvjlRhPyv552VGC6dOV2OWluZsN5P07bxv+2dkBWe8/kVqb1ysmj0XZVZmXHUQyUBjZqwWTQpsS/12GwU5bJZjlLDR2lD3UcmaZ1KdV6rZh+qZx5rnqSpssH1GmE347TwpT27vyv8d0X5niqTa1vNy2+ptb5SKgrMgIWnOypSLrtG2xPZ4yxfJKOisntWutJH++QnOpB6wRXhbjP77aJGqWy9FqfDU3qXVbtP/itnNf8OO74kV4I+BC4in9d8YqsKJm/efQ3P7EbxpFYtPKi/x1IZf4ICrBb+sCNwsDyPGW9aFh5VvKHaiuXKe/6Z6JYp+7/Efa8x8BBuad6NafuaXuM1F3LC8E88tEPc3DfY1GZbKvWhv/efAwrkinsCTKdr3otIi/pIfyEuJr7Evn+LwsJurlXCDSFe5j61avtYnz3qrbnwdrz23MOTelXHIeXidahacuNNHazJH/HUwEAmGTVMB5Wkub1pRFvxhEMNnrWhvXgfL+MB/icbpKHnFjpbg78cclFl/jX9v3RRyw7vWU2Qa0fpaHRb0u1gtztPV2Ouyq9qqmAluhd3VhA3KBIOch/GSvGCu8DfhbvRCfYNFzFqJt3wxIxpMgHgtwuPW+n1scv0LXl/7XXky0p5Df8BgHqQXnlJqbDGIvqaSVbHYnuqrsjm138VCf7NzUXU6D1ZXc4wnBKR2UYcr92l5HgwXDuOhQJIKsN0macUwWxSIIqDVbhN7xcznhdtRH1g1WKzsG1hNWb6vR8n5MK7iLVY3vkV0ykTcTlTlTlA9fFako34IrAGG0IfhKqsjB1dVVq/gHmP18KEci5C85ddgl7sDx+RV4iOsBq3w8Z0CFKAABShAgdQVUI/Oao11qvcP7XPk+1JMFXbpvHzzyiBWUleNx4v8+/8FVvFWxtGD2/tWbNYe0xbHq+6lCR6v3CegGhtXxxn8rFo9fAjHaubNtEgqe8K/EnXk+w6GVkPK0SN7Hiip8J0CFBhOAbbb4dRkXBRIjIBWu03YFTNfhwN1VWJVcfVKyv4Vl722jXjV+Tkw3Kt4ixWSg1NuxVBmd+DhzVdx6tA/w+btW/VY6j0Le4VYXPME3jnzuWoqdaRO91BWD492rJI3cW/PC2j1XIMkXYPn9fvxyV6xEjVfFKAABShAAQqkq0CCOmY38dmJY/5VyvutpDwfG494IEkubC6YisSt4j0OMyv2QZLOYm/+52hx7Iet9ocolR/BAXx16Yp/TZtotT6U1cOjHatevXnZY8gziUVG1SvRR8sU91GAAhSgAAUokMoCqpXmRrIYV+E50x4zgcSt4u1Dz8k9WF2wXH5GYmjG4lrdeCirh0c7Nrh6swX3z5iqWp26byX60PzyOwUoQAEKUIAC6SGQoCtm42DO8j9rCxcvozu4knJ/xISt4h0cMvUvn2A/4IKntzv40OT+uUrwt+DqzR58eFY9pNq3En2Cc8TkKEABClCAAhRIkECCOmZjcOeceYFVyvtWUkbPCdjK58JgMKPYdhIYwirsA/Lq8aD9uFga/evIeqAIix614M7PPoD9YOyregNKZzCB1as373kDTu91AOqV6AcTKY+hAAUoQAEKUCAVBBLUMQOMM0uw0bpAPD8GmwrvQobBAMOEuVix+wSQtxI1D2fBaJyJJRurkCcemrF7Of5mQgYMhlthLnwBTrFwpvXHWDXQRTODV6BUy2WMy8YDD/tv9LeVzpDzkmEuxzv4a3kx0rjuMRux2h2HnOLHUSEWP3S+gELzrX6DpR/ir54QeeaLAhSgAAUoQIF0FUhYxwyYDMv61+Cyq1dcFqsp2+HaW4sC+Sb3EVjF25iFh196pm+V57szgOt3Y9GGRjSpVx9vOoD9r/8vzBedwj1vw9UVYbw1AWeCMXMRXnH+OrhCtKmsAS3ObfjR305NQOpMggIUoAAFKECB0RJI/5X/R0t20On2wF2/ELlVTsC0GvbfNaAkcyzQcwz1CxehynkbyuxHsKtkKI/yiZ45rZWIox/BvRSgwGgLsN2Odg0wfQoMXECr3bJjNnDHET7Chx73K1iYux5OrZTUnTWt/cOwTetEGYZoGQUFKDCCAmy3I4jLqCkwQgJa7TaBQ5kjVKq0i1b7YbfBh1M7N/qvoKVduVkgClCAAhSgAAV4xYznQJiAVg8+LBA3UIACSSXAdptU1cHMUCAuAa12yytmcdExEAUoQAEKUIACFBh5geAVM9Fr44sCFKAABShAAQpQIHECkiT1Syz4SCaxQ+uSWr/Q/KILAZ4HuqhmFjLNBNhu06xCWRxdCGhdFONQpi6qnoWkAAUoQAEKUCAVBNgxS4VaYh4pQAEKUIACFNCFADtmuqhmFpICFKAABShAgVQQYMcsFWqJeaQABShAAQpQQBcC7JjpoppZSApQgAIUoAAFUkGAHbNUqCXmkQIUoAAFKEABXQiwY6aLamYhKUABClCAAhRIBQF2zFKhlphHClCAAhSgAAV0IcCOmS6qmYWkAAUoQAEKUCAVBNgxS4VaYh4pQAEKUIACFNCFADtmuqhmFpICFKAABShAgVQQYMcsFWqJeaQABShAAQpQQBcC7JjpoppZSApQgAIUoAAFUkGAHbNUqCXmkQIUoAAFKEABXQiwY6aLamYhKUABClCAAhRIBYE06Jj50NVWB7PBjPz6Y+gJU1f2L4Gt42rY3sFt8KGnwwmHrQb5BgMM8j8z8mtew1tuL3yDi5RHUYACFKAABSigc4E06JgpNeiFs+pF7HBfVjaM0Pt1eNtewsJZa/FWZwF2dvdCkiRIvW7UP3AFjoUWFNYdhpe9sxHyZ7QUoAAFKECB9BVIo46ZBXl5J1FV+Uu4e0aqV+RDj3s7nijcjyz7r/DLymLMHB8gNJpgKVmP7c1VwKb1ePbAOV45S992w5JRgAIUoAAFRkQgjTpmWXii7nlUtFtRucOlMaSp9rsOr9uB+vK5gWFIAwz5NbC1dcQ4rhPH9v0jnEVPoWbRdITjGTHesgzPVd8K25qdcHaNVAdRXRZ+pgAFKEABClAgXQTC+xYpXLKM6Y/ixW0laI86pBm46rXwLWSsbkGvGIaUrsHz3G3YU7g++lBo1x9waI8bpvtnYFpEuSnILS6CyduCQ67OFNZk1ilAAQpQgAIUSLRAxO5FojMyPOmNReaiKmyrOBdlSNN/1at9WTlWzDMFrnqNhSnvMSwrOonDH12MOATpu3gWH3pNmDvLjPExM+zBh2c/jxhXzMMZgAIUoAAFKEAB3QmMSbsSG6dj0Ys/QcW31qByx3fQXJkbUsSpKNjsggdd6Gh7C29f7gXwZxzd+jy2OIGix0KC8ysFKEABClCAAhRIkECaXTHzqxkzH4kypOlDz8ldKDdPwqzCn+PoZXEf2H9E8T840FgEHG/3RLzPzDhtBu43eaOG6as3M+6fMVXjPrS+EPxEAQpQgAIUoAAF1ALpd8VMLp0ypPkISittuG+tuCoWePk6sG9dLQ4/bMf510qQqXRNu9pQc9wL3K8E1HifeC+Kl1mw5cOzuOgDJirH9gvaCdehFnhNRSjOndJvD79QgAIUoAAFKECBaAKaXYtoB6TMPmVIs70BL2x9ry/bPR60HwfmfucbMKlK7+u+jM+Doa7De2w7ys2BxWPz6+Do6AIwBfOWPIm8lpexWXM5DDGxYA9e2nINFdtWIk+75xZMhR8oQAEKUIACFKCAWkDVNVFvTo/PypDm/3P+Fl6lSPJVLzNa9rwBp/e6vNXnfR+v1D0PmxLIdwb/57m3Mbf5C0jSF3At+APWNLrQBbEcxmrsbf0BzpQ+gv9WfwgdypppPi/cjgasXmgFahuwQXM5DSUTfKcABShAAQpQgALhAmndMQOUIc05qpJPRd7//Dma5v0WheZb5XXM7nr6A9xd/nPYqy3+cMbZqDj0L6i0TAYwEfd8817cFoxhLEwFz6PV04SSKW1YOSHDvxZahgWVRyehpNmN1o3z+12NCx7KDyqBq+iwLYHBkIuatr5rlaoA8kdfhw3FBgPMNW0Q1yw1X76TsBWbYTDXoS3i2nFMT9jRUyAM3/kyrHFpntzJtjG+djScLjxnh/ecpefweo5ECzVI4nlCgZd45qPqq7JZ1+8+72E8u/wgcm1bUJI5VhcWPA90Uc0sZJoJsN2mWYWyOLoQ0Gq3aXrz//DUp79TZkfOK/rplA2PHGOhAAUoQAEKUGAwAuyYaap1ocPxM6x9KxMvNb2KeSZ9XCnTpOBGClCAAhSgAAUSJsChTC1qsXTG7EJsUSYDiDBldnh2lcCkFT7NtmldWk2zIrI4FEg7AbbbtKtSFkgHAlrtlh0zHVT8QIuodaIMNA6GpwAFEivAdptYb6ZGgeEQ0Gq3aT4rczjYGAcFKEABClCAAhRIjAA7ZolxZioUoAAFKEABClAgpgA7ZjGJGIACFKAABShAAQokRoAds8Q4MxUKUIACFKAABSgQU4Ads5hEDEABClCAAhSgAAUSI8COWWKcmQoFKEABClCAAhSIKcCOWUwiBqAABShAAQpQgAKJEWDHLDHOTIUCFKAABShAAQrEFGDHLCYRA1CAAhSgAAUoQIHECLBjlhhnpkIBClCAAhSgAAViCgQfySQeC8AXBShAAQpQgAIUoEDiBCRJ6pfYGOWb2KH1zCZlP9/1I8DzQD91zZKmjwDbbfrUJUuiHwGti2IcytRP/bOkFKAABShAAQokuQA7ZkleQcweBShAAQpQgAL6EWDHTD91zZJSgAIUoAAFKJDkAuyYJXkFMXsUoAAFKEABCuhHgB0z/dQ1S0oBClCAAhSgQJILsGOW5BXE7FGAAhSgAAUooB8Bdsz0U9csKQUoQAEKUIACSS7AjlmSVxCzRwEKUIACFKCAfgTYMdNPXbOkFKAABShAAQokuQA7ZkleQcweBShAAQpQgAL6EWDHTD91zZJSgAIUoAAFKJDkAuyYJXkFMXsUoAAFKEABCuhHgB0z/dQ1S0oBClCAAhSgQJILsGOW5BXE7FGAAhSgAAUooB+BNOiYfY62mlwYDAaNf3NRXu+A23s9zhrtQkebA7aaYlVcxaix/WoAccSZFINRgAIUoAAFKECBEIE06JgFSmSqReuVXkiS1Pev+5/w0PHnkfvEdrh7fCFFD/nqu4C2usWYtfQtdH53K7oD8fR6NuKBzjex0LwQdW0XECOWkEj5lQIUoAAFKEABCsQvkD4dM60yj5+D5c88hSKnFXX7OqJ0qi7D3bAShU33wP6711A5fybGB+IzmiwoqXwFzdZbsGnpJhy4EO/VN60McRsFKEABCpdVlhUAAATRSURBVFCAAhSILJDeHbNgub043u5BT/B7yIeu32Nfw+9RtGENFmWODdkpvk6G5YfrUY3tWPPqe+jSCMFNFKAABShAAQpQYKgCOumYWbCs+F5M1NTyocv1NvZ4zbh/xlREBJl4L4qXWeDd8zZcXRzQ1KTkRgpQgAIUoAAFhiQQsR8ypFiT5GCf93288tOX0ZL3JJbMmxIhV9dx8ewpeJGFWXcpA5gRgorN3lM4e5HDmVGEuIsCFKAABShAgUEKpE/HzLsJhZMyVLMpDcgwv4iLD22Ca+9qWManT1EHWdc8jAIUoAAFKECBJBcYk+T5iz97YlbmyQ0omDjQDthYTJuRAxNa0H6+B5g5LnqaphzMmKZ1H1r0w7iXAhSgAAUoQAEKxBIYaC8mVnwpuN+IibnfxTKTBx+e/TzyzM2uP+DQHjdMy76L3AF3/lKQhVmmAAUoQAEKUCDhArrsmPkuOLDCnI96d2Ce5sRvYsn6b6Ll2W0RlsO4DPcvGrAFq7HtRw/2TSKQ1z77Lyh3fCpXnM97GHX55sBwajFqHCcjzwRNeFUzQQpQgAIUoAAFkl1Afx2znmNoWLoGNq+6aibDsn4nWpf/CaXf+u+oP9wR7FD5vG446tdhYdUN1L5eG1xOw+c9hl21FSjcdDwQ0U189oEdTVnbcL63F92uv8exnb+FhxM41dD8TAEKUIACFKBAFAF9dcx85+BYV4/Op1/FpuwQFWMmCjY2w9O8GFPeXosJgUc8ZZjrcHTKYjR7mrGxIFO1nEYGvr5kK45aZwciugrPmfOYv+BbyDQaMf6e+zDv+DGc+OxmSEL86he4ig7bEhgMuahp+zwiiq/DhmKDAeaatsjrx/lOwlZshsFch7aIS5kwPYFMT4EwfOfLsMYVsRUk04742tFwuvCcHd5zlp7D6zkSrdMgiWcYBV7ieZOqr8rmNHm/DHf9arw6pRbby65hx+xK4I1mVFriWCIjokAP3PWP49Wsf8Cukq+pPt8N3HSjfvZryPrNNpSYUmuORXqfBxErkzsokNICbLcpXX3MvE4FtNptavUYhlJx3ja8WrUXu7EXu1cEIsqtRJYn9TpOQ2HgsRSgAAUoQAEKJK+AfoYyTSXYpTzg/IYL1uw8WF31w3g1axzMWXfh8NE/oQs+9Hz0Lg5mz8OcO/XT903e05w5owAFKEABCqSGgH46ZiNeH2Nw5wNFeHhPISYZMjAh14aslYXIofCIyzMBClCAAhSgQLoI6Oges3SpspEvh9aY98inyhQoQIGhCLDdDkWPx1JgdAS02i2v54xOXTBVClCAAhSgAAUoECbAjlkYCTdQgAIUoAAFKECB0RFgx2x03JkqBShAAQpQgAIUCBNgxyyMhBsoQAEKUIACFKDA6AiwYzY67kyVAhSgAAUoQAEKhAmwYxZGwg0UoAAFKEABClBgdATYMRsdd6ZKAQpQgAIUoAAFwgTYMQsj4QYKUIACFKAABSgwOgLsmI2OO1OlAAUoQAEKUIACYQLsmIWRcAMFKEABClCAAhQYHYHgI5nEYwH4ogAFKEABClCAAhRInIAkSf0SG6N8C92hbOc7BShAAQpQgAIUoEBiBDiUmRhnpkIBClCAAhSgAAViCrBjFpOIAShAAQpQgAIUoEBiBP4/3BowSlI4tfcAAAAASUVORK5CYII="></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the electrical conductivity of molten Na<sub>2</sub>O and P<sub>4</sub>O<sub>10</sub>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the model of electron configuration deduced from the hydrogen line emission spectrum (Bohr’s model).</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>n(Ag) = «\(\frac{{3.275{\text{ g}}}}{{107.87{\text{ g}}\,{\text{mol}}}} = \)» 0.03036 «mol»</p>
<p><em><strong>AND</strong></em></p>
<p>n(O) = «\(\frac{{3.760{\text{ g}} - 3.275{\text{ g}}}}{{16.00{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}} = \frac{{0.485}}{{16.00}} = \)» 0.03031 «mol»</p>
<p>«\(\frac{{0.03036}}{{0.03031}} \approx 1\) / ratio of Ag to O approximately 1 : 1, so»</p>
<p>AgO</p>
<p> </p>
<p><em>Accept other valid methods for M1.</em></p>
<p><em>Award <strong>[1 max]</strong> for correct empirical formula if method not shown.</em></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>temperature too low<br><em><strong>OR</strong></em><br>heating time too short<br><em><strong>OR</strong></em><br>oxide not decomposed completely</p>
<p>heat sample to constant mass «for three or more trials»</p>
<p> </p>
<p><em>Accept “not heated strongly enough”.</em></p>
<p><em>If M1 as per markscheme, M2 can only be awarded for constant mass technique.</em></p>
<p><em>Accept "soot deposition" (M1) and any suitable way to reduce it (for M2).</em></p>
<p><em>Accept "absorbs moisture from atmosphere" (M1) and "cool in dessicator" (M2).</em></p>
<p><em>Award <strong>[1 max]</strong> for reference to impurity <strong>AND</strong> design improvement.</em></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>A<sub>r</sub> closer to 107/less than 108 «so more <sup>107</sup>Ag»<br><em><strong>OR</strong></em><br>A<sub>r</sub> less than the average of (107 + 109) «so more <sup>107</sup>Ag»</p>
<p> </p>
<p><em>Accept calculations that gives greater than 50% <sup>107</sup>Ag.</em></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><img 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J8zh4RQ1fp/1DoL7rg23I9Uh7353LbkZmYnRLvMWlUuydy4cBnLVM94azXVwcLcrnHVpZbMxd1s81MT+55WE6n6ZtyATh25qR+r/Exmj/fokGGL0+P/EOIzl7Ikc5bNNG+Nb2/7Jeo2v95ut3PIS+kop7OsWWSljLEPJB3x+pCv3a9gus5qswBU57IMFszWuQ9SNdeQmJZItOPODtbCZU+DGN/boEecEqEPBHzlH0RkygIWZ3S0qbrPP2NxBgmdHlG+3yshxN90CwtT1WVOR9Ft+/wXLr6ZBKsz8wjGJs4k0WkJVSP2ZiDoa/0c+Q/wt6/3S5dsfdQfXdINvwCN4vIbvvLzmsOvAV1LLO3nSkOOhwMB6bPDoZWkjMOZgLd7zDnuG86Vk7ILASEgBISAEBACvhMQ5e87K4kpBISAEBACQiAgCIjyD4hmlEoIASEgBISAEPCdgCh/31lJTCEgBISAEBACAUFAlH9ANKNUQggIASEgBISA7wRE+fvOSmIKASEgBISAEAgIAqL8A6IZpRJCQAgIASEgBHwnIMrfd1YSUwgIASEgBIRAQBAQ5R8QzSiVEAJCQAgIASHgOwFR/r6zkphCQAgIASEgBAKCgCj/gGhGqYQQEAJCQAgIAd8JiPL3nZXEFAJCQAgIASEQEARE+QdEM0olhIAQEAJCQAj4TkCUv++sJKYQEAJCQAgIgYAgIMo/IJpRKiEEhIAQEAJCwHcCI3yP6o8xFcw1lZw6VUHzxHlkxAf7XsimEj7cVUwdMaSuWExKRC/GQf1J63sJJaYQEAJCQAgIgUEh0AuNNyj590+o5RxHcg5yVF+PpX+SJLUQEAJCQAgIgauGwDCf+fejnSJSWL4mpW8C+pO2bzlKKiEgBISAEBACA0ZAoyiK4pCm0WhwOXUE+/atNGEo/Zzjx/TUWafhI4lOSCV9TiIxwRq7DIeZvpTj+jrbbD1UR8rsGUxPiMFmtLfQVJLNruIaiJ7JwplBnD3+Ofq6S6CNJnH+fOZOiEDjNL27FC8ogYV3ZhKvVfMp50hhsS2dGkUbTcKsmdyQHE+EWhxneofZXw3yIV9VVn/SqunNNZQfKaTQyiAM3fQ0bhxbxZ5P9LQ76+BSLx8P+9V+PuYh0YTAQBKQPjuQNEWWEOhKwNs9NkBmfxOGQx+TV+xQ/GoBLlGnP0x2bimN1uGFgrn6GDnZqpnervjVaK1GSvKz+SC/CnPnctcdJy/PRYFb6ij/JI+jNZc7x3Q7VxpLyc0+3KH41auWOvTFBzlYWo9ztOOWyuWkj/laJfSUVqmnJDeXAieDFown8vn0s5qey+VSRDkUAkJACAgBIdBXAgNi9ldqSinUXwTCiM+8ha8lREJTOZ9kF2KoPcGRiuvImtzCiU9LrVYBbfR0Fi2aRWywhSb9QbLzz9KqP8KRiTFkujnthaFLnce8lFhGNpawb3cxtZaLnK++CCkpLF8dSf47eejbQ0lYeJs97WVqTp+m1qIlNGE+t2VOIFhVuPs+orj2EvUNF1EYg8MW4RlcN/nGRHlO4gztPq1SW8HJ2kseWdU7ZciBEBACQkAICIHBIzAAyt9Cc3U1LWoZo6dxY0KkTbFGJLJwZaKz5ErNF1S2qOsBkSSl30CsdSkgiIiEG5ldeYF840XOnK0lI17nTEPYJGYkx9qWAyLjmBh1nNq6jsuej0YQk/pN1qS202Q4TXnJCdoufEGJVeGCYjJbLQwhnhPbQvuUr11gt2kvU1tlsLEKm8T0yQ5WU8iYbeC9fIM4LnbXLnJNCAgBISAEBoTAACj/yzQ2qLP+7j9Km4k2NUrQWGKvcc12JMEhQdbE7fWNXMRF+Y8axSjnFD2UyDHBUNdlcaBTxvblhZwTdt8D98uakGC7b4F7uNtZn/K1S+g2rYU2kzrrB21UFOHOumkIDg7uwRrhVkI5EQJCQAgIASHQZwIDsOY/gsio0bYCtLXR5mVBXTMqhFFqrPZaqr9yXbO/hNnUbk0fNCYSu6Q+Vwilxr68oCVUl0zqjQtZcc8qFiaE9l3mgKXUMipkpFWapaGBZicrBbPZLGv+A8ZZBAkBISAEhEB3BAZA+WsJj40lTM2lpZITFY02JWa+QPGH77Bt23beK66GsfFMClOza6Ss8HOqzarma6dJ/zeOGtXZ/GiumziWfheorZl6k7q8EETYuASSk+MJbz5L+Xmr3aE7FkNwbQRjJ8R3YaU0nabgqFFM/kPQApKFEBACQkAIgKv9vc88NDHJpCecIU9/EUP++7yV7yIqdCKzEq9Bo9EyPT2BirxyWutO8NG7J1wiqc55c5gTr67E9+J1PZpgQkZpoaUVfd676NVtcquSGRc9EmPtJWqLd/NWsZqNllGhI9HS5tuav0vJBvpQM3Yy08aeori2xYXVSMZEj0bb2tSb2g900USeEBACQkAIXCUE+j3RtnEKIf6mW1iYmkC0U6Jtn//CxTeTEKGu6WsIjp/LbUtuZnZCdMcMX93nn7nY5pXfW+iaa0hMS+zIM1gL7VEk35zJdJ3VFmH1qtdNn8+SRSmofvqWC2cxmpz29t7m2P/4mjGkZGWR4WCgvn8gI4tbZsbImn//6YoEISAEhIAQ8IHAwL3kx4fMJApYDPm8k6ennZGMTf0GS1LUbYcmDPl7rZYTolNZsTyFiD7A8vYyhz6IkiRCYEgISJ8dEsySyVVMwNs9NiBm/6uYa6+rro2dwHWhlehbXZclHGJGMnaSjnDHqXwLASEgBISAEBgEAjLzHwSoPYlUmgyUfn6cY863/AFdXnPck5Su172N8LrGlBAh4B8EpM/6RztIKQKXgLd7TJR/ALW5t0YOoCpKVQKMgPTZAGtQqY7fEfB2jznd8/yuxFIgISAEhIAQEAJCYFAIiPIfFKwiVAgIASEgBISA/xIQ5e+/bSMlEwJCQAgIASEwKARE+Q8KVhEqBISAEBACQsB/CYjy99+2kZIJASEgBISAEBgUAqL8BwWrCBUCQkAICAEh4L8ERPn7b9tIyYSAEBACQkAIDAoBUf6DglWECgEhIASEgBDwXwLOl/yoLwKQjxAQAkJACAgBIRBYBBSl64/ZOd/tr1709iagwMIQuLWR9gvctg3UmkmfDdSWlXr5CwFvE3sx+/tLC0k5hIAQEAJCQAgMEQFR/kMEWrIRAkJACAgBIeAvBET5+0tLSDmEgBAQAkJACAwRAVH+QwRashECQkAICAEh4C8ERPn7S0tIOYSAEBACQkAIDBEBUf5DBFqyEQJCQAgIASHgLwRE+ftLS0g5hIAQEAJCQAgMEQFR/kMEWrIRAkJACAgBIeAvBET5+0tLSDmEgBAQAkJACAwRAVH+QwRashECQkAICIG+E/jqq69obW3tuwBJ6Uagl8pfwaTPY/u27ezMr8LsJko9cVx/n+Kay12u9j3ARI2+hOLc99i2bZv97z1yi09iaGrvu1hJKQSEgBAYdgRqyNmQjkazgleK6j2U3n592RZOWjxc7imo+SQ5O37NhlvirK98V18Pq7llA1veK8LoJs9CY84zxGnS2ZBT40Gq4/rdbDlp8nDd96AP33qd9BmzePFPH/ueSGJ2S6CXyt8hy0Kr/ghHDP1rUIe0br+VRvR5e9hXUIlp4nxWrVnDmjVruGdFOuNMp9m/axd5+ka6/mxBt1LlohAQAkJgmBN4n6ee/F+Kmt00cr/qZDHu45lvZXHfe81845elqL/5oihtnHvlJr7a8QBxi39MjrHrtK9fmXaTuLW1gReeWs1jT27mzmc28ty9t3UTWy71hkAflX8woaEm9IePYTAPpto1YTiUS75xNKm3LiEzMYZge+00EfGkZGaxIEGDoaCA0kaxAPSm4SWuEBACw5zAvCyyyl7myV8U0jwQVWkuYNO99/PmlDc4/L/fZ8m0SLvUYHRpd/DkzzfzMr/kvmd3YRi48YbXkre2XuCxe5ez9X9queelF3jpkW97jSsXek+gj8o/hEkzkxnbpufwEYMH879rQdppMpSQ/+E7HSb7nbkU62t6SAeYjHxR2UpY0mySI4NchdqPQ4hPnYmOao4dOcMQ2CE8lEGChIAQEAJXgED4nTzz2h2UPfUcv/Bo/ncpk8VI0Y5XuD9OYzflx3HLhi3knGy0R7LQWLCTTbkLeH7DbcR70gzh6Xzvhw/Alhd4LdeTmd8lv34eqor/0TuW8O7OSyR/b5nM+PvJ01NyT03sKV6XME3UNDJnjaWtW/O/gtlQRPb+SrQzlnGP1WR/Nytmj6Ai/9Melg0UTMazXLCMICoqDE2XEtgDQq5l0rhgLBfOYjQNphXCWwEkXAgIASFwJQiEMmnlU7yxrrIH8389RZu+y7feC+XhojabKb/9MD8M2s7ihzbblw2+onDPXoy6qUwe77Cvdq6Tlsj0b7BWV8TWPcdwDBs6x+rLuerIpzr02T5mnnv02xz58CJT7l3Euxuf6otISdMDgT4rfxhBZHI6s8aauzH/t2D44ixt45KYNSHCrsCDiJicxOQwExeqm7pZq2+nuaEJCyGMiRjVQzUASxMNzWL67xmUxBACQiBgCGgnsfK5H7OuO/N/4xHe3nSetfevJkNnV+zaeLIeWM3S3IMcPWcGSw0Vxedg5lQmhPesFozFFZx3mv6LeGlxbIdzoOogaP0LImrxixh7gH3ko19w6w3jSFixgc9ravjVcw/w0eaj1GTNY/f//JieS9NDBnLZI4ERHkN9DdSMITnzBs7uPsbhI3HEZsZ3SjmahKxVJKB665eit87MTVwoO4mxFcKssRXMNaV8uv8Yxla1N4WhS53HvJToTrLkVAh4IGApZcutK9i+ehe71yV7eVCYOLnlOyRtX07Z7nVMk6eJB5ASNFwJaONX8NwbOcxd9Ry/uOV3PJnWqSaRi9h4rhCsXvx5WPcH1B/i9QdfIpe7WN0peu9P01if/SEbF8V0Sqp6+z9L8uJTncJdTy2cPXOO6LARNB48zL1r7mV61WEKb1jJjp9tIDY01DWyHA8ggX4/BjWRrub/znswFczVR/lw+5/Yl1/GhTbVLB/KpPnzSAkDU30zbUoNJw6cwJykLgvcw6qFOuqLCzhRoxAeFYEWE/VNbT1XWRtBVLgnv4Cek0oMISAEhMDwJRBMfLfm/0ZKtzxIXEQSi18/ZFP+Y27lvwt/xVJOU1bVDNoYJqfGwfFTVPmwe0CXOpnx/dYeKnEtt6/7d269ezk3c5RjH+3jrdKJfGNRMn+fmjx8m2QYlLx/M39rBYNs5v+zH1F8+BixSU5bEKiK/dNSGqJT+eaSFCIdC/cmPbkmC0QBmlhSb1/lRBWsi2d80DlMbQohuomM0xppaGhBYbTndX/Tl1ReMKMdNxFdiCMDpzg5EAJCQAgEPgGH+X/uIzz5iyk86lJjy8l3ePzBAm59t4Jf3zHJbh1TZ+V7OQ6kWuNeQ/qypeheOkXFeTNEhrhIcBxaaCz8iK3GNNYum4W6F2Bg1v21rP2/P+Lwh7kcPGgkIm0mv3jxMUem8j1IBAZk7Ibd/D+2rZKjZQ6nDaCtmXoThFwbQ4SLXlbMJq+e/spX1VwIjmNi7EgI0XH9pFBayo562cpnwlB8HCOxzJpzHZ666yBxE7H+RuCrz9j3yv3EWdcaZ3L/K3s46W0G05jDhjgNcRtyXB5ejheSuL+wxGIs4DcblnnxkPY3CFKeq5mAzfyvev//hNcLHC//sdBcdYrjpDB/xjiXZbHLNNW7qm4tkRkreSJrP89u/MDzVr7mQn71kzdh3TM8ltXZxN8/8qGjrycpPY2ZWXfxzv/8kMTRYu7vH9GeUw+M8lcn8Hbz/6XWNpxzf6sn/ghaKsqosL+JT2k6w+FPP6fWGcmlkOYqDh34immL0ogPVkcLIcTflEWm7iLFu/eRX96xPVBpMlCSn8t+vUJ8RoaXrYAusuUwgAm0sPepH/OHoO9R1K6gNP2R26s3kfStV/v1AhSLYQffTXuQnPH/xjlVrlLKfycd4L6sZ9hhGLoXnQRww0nVBpSAw/zfRmI3JaQAABc5SURBVG5uuV2yw0N/P1vf/MT+hj4zxoJf88wjP3d3xgvP4Ik//IYHTj/C3H/4Gfuc2wDNGIt28MrDD/IUD/G751d43grYr7poeXjj2xz64DcsFXN/v0j6mnjAlD/Yzf9jR7rkPZrJaTcxfUwt+bvetu7zf/vAOcKT5pLq8Dq1x1YHBQW5JwmZN48U1z39mkgSFq5gxYIphJw9wLv21/u+tauQCyFTWLBiBQsTIj0vCbiURA4Dm4Bu3Y954fH56NQeHZ7MHT/YwPqy3/N2gYslqlcIash97QW2zPw+P3DIJZLkdRv53dp8Hnltv4vVoFeCJbIQGDwCDvO/ziWLyAX8y182knHwfuKCVE/8NP41L4b7d/6R9a7x1BV43RJeyC7iL3eE89FDyXaL1yjinjzENXe8ybnsH7Go07PbJad+HYaGhqL+yWeICCguH/Xl/EP/uaw0nv5E+dOfPlFON14e+uwDKMcr035XGGB7ibJ5aaKydHOJ0u5aFGu4TtGtz1YalFalbPNdCks3K2VqpIZsZb0O+zVHonalIftpRUeasj672kscNa5dlu5pJbvBLUeHIPnuBYGrss/2go9EFQL9JeDtHhsAh79+jlJMZygqOIu6yy9/11nyreJCSVh4G5nx3l420c88JbkQ8JGA8aXFRL3kIbLuaQ+BEiQEhIAQGB4ErrzyD0kga3XC8KAlpbzKCOhYujmnm/cHXGU4pLpCQAgEDIEBXPMPGCZSkWFHoIXjZefcf9yk+Rxlx+OcW5LcqhQeR9LMToudbhGAyFksWxvH8QMnOv2MaT1Fr6xA09efS+2cj5wLASEgBK4AAVH+VwC6ZDnwBIwvbeSnO0ptA4Dmz9jy6ONsvdXLliTtZBasXoBx6+95p1Td7mSh+eROfvqTN128n2PIeuwZbt39I5559YB9ANDIyR0v8eRT8PILd8ibAge+GUWiEBACQ0RAlP8QgZZsBpNAGEtf/i6LTr/INHWff8Qa/jrzFXJfXellS1II0+5+nr1PXObZlCg0mgl8a/NFVv3wByx1KaY2fiWv5r7K188/Z/eSjiLrvWt4tPDXPJE2xiWmHAoBISAEhhcBjepJ6Ciy+mMMLqeOYPkeJgSk/YZJQ0kxnQSkzzpRyIEQGBQC3u4xmfkPCm4RKgSEgBAQAkLAfwmI8vfftpGSCQEhIASEgBAYFAKi/AcFqwgVAkJACAgBIeC/BET5+2/bSMmEgBAQAkJACAwKAVH+g4JVhAoBISAEhIAQ8F8Covz9t22kZEJACAgBISAEBoWAKP9BwSpChYAQEAJCQAj4LwFR/v7bNlIyISAEhIAQEAKDQkCU/6BgFaFCQAgIASEgBPyXgCh//20bKVlvCVgq2fHgTNQ3Wmk0/8QO4+VOEi5j3PFP9ut3s+Wkyf365SJemaqmTWdDTg3gGl8Nd/mLu59XdhR1+tEfd3FyJgSEgBDwVwKi/P21ZaRcvSRgoTH3lzyy5TN7ujJOn+uk3DFx7nSZ/fp+tv75mPsvAVZXcrxcvTyFpAnh4Ba/U3GMv+WpVemkfXcHBkuna3IqBISAEPBzAqL8/byBpHg+Emgu5Fduv8p3luOVdZ0S11F5/Kw9zEjupp0UNDo0t4XGkkL2qVd1U5k8PhhwxNexdHMJ7Ypi/e0LRWnj3KE3+I4OjFte4LVc1UogHyEgBITA8CEgyn/4tJWU1CuBeop+8RxP5Rph6ctsfjELKOfA6S9xM/xf/pLTB6xTe5sk41/4/Udnsal/M+crTtl+0nfmVCaEa8EZP47UyTF03CzB6DIe5AfP3wUUsXXPMdQfBpaPEBACQmC4EBjhKKi6nql+HN+OcPkeXgSGsv385RcgLYYc/mvT+8A3efmFB7i18hSQS/nxSqpJQ+doQqdZX8fSFx9jxmtPs+mX2WxYuY5p2mo+++sRa0xd6mTGq5r+QudlAIcg9TuEKbMzSOSPlBdXcN4CkR2jA9eIg348lG0+GJUZ7uUfDCYiUwgMNgGn8lcf5OpN6C8P9MGueCDKvyrbz1LJzn/7EVuMoFv/BN9LiyGMqSSqc/8Dpzl3GXT2Xn753GkOWBs+iSVLVjOn7h02vbSDP//tDp68/gsO7VOtAjpmJsWhrvg74zuXAbz0mvKvaFLNB1dI+Q/ne/aq7LNeupEEC4HBIOBtcH2FHleDUUWRefURMGPY+bLNyU/3MG88toBIYETcFOarMMpPUVntMPxfprryFFajv+5m5lw/iawH/5mlvM+mt49Qf76CYqOayGHid4nvWAZwA2zi9NECm7z5U4hzDqPdIsmJEBACQsAvCcgjyy+bRQrlE4HmYra9vsO2Tm/8Oasm/LxTMrvHv06dx9dTcqjQdt2uzLVT57F6qY69L23iRcLYa73qwdN//BgiOg+TLRXs377failY+vXpjOuUs5wKASEgBPyZQOdHmj+XVcomBFwIuDj5uYS6H7p4/FtqqCg+Z72cuGQ2U9Ser53GnRseQMf7vPTSH21JnSZ+h6c/JM6cRKybYNXi8AbP7lXXGu7goWVTrpTF361UciIEhIAQ8JWAKH9fSUk8vyJgObmDZ56yO/kV1tm34Dm24lWTvT7N3eO/+Rxlx1W7fhqr5kzCZvLSEpn+DdY6PQKBJemkqJ57Tk//ROZPudYeH7AYKfrND7lv1c8xMoPvPP9PLI1XtwXKRwgIASEwfAiI8h8+bSUldRBQnfw2/sxqptetW8eaG8c4rti/w5mQNMV6XL7vKKctYHGu6TvM+vaokfN40Lplz3bunOW3NFDdooaV89tV13W83S8ojvQHXiIXHVlPb+I/HphhdQ60S5MvISAEhMCwICDKf1g0kxSyg0AnJ7/nVhDfpRcHM37yVNsWv+OnqGq+THPVKY6rQhIzmD0lpEMcIUxddg/rrLP/jll+x2DBJar1cAbfefn37CwsIvuFJei65N05vpwLASEgBPyPgEZx2Sck2278r4F6UyJpv97Qkrj+QED6rD+0gpQhkAl4u8dk3hLIrS51EwJCQAgIASHggYAofw9QJEgICAEhIASEQCATEOUfyK0rdRMCQkAICAEh4IGAKH8PUCRICAgBISAEhEAgExDlH8itK3UTAkJACAgBIeCBgCh/D1AkSAgIASEgBPyPQFVVlf8VapiWqJfv9lcw6T/hvXyD/TfQ3WutjU5g1swbSI6PwPYDwe7Xu5yZa9CXn6Wy7CTGVtuvqhOqIyX5ehKT4onwSUgXqRIgBISAEAhQAjXkbFjO4q1LyS59nkVdfkfafr34nynbrf5UtTcM9ngvFXmIoL7L4sc89u0VpOk6vb2y+SQ5e//Kntd/xEu51l/Cgqz1bP6Xu7n1W2mD9t6L1tYGnnvyH/mP/3qHw5VnSb9ugodyS1BvCPRS+TtEB6PLXE5WwmhHAGCiujiPnLyPaVi4lMx41xepuESzHypN5XySXYgxJIH0BbeTFaPGb6fJcJLPjx9kV+l4MhffTEJEUNfEEiIEhIAQEAL9J6B7uusgovkztjy8hvR7Kyn8y+OkhdtGEBbjPp69937evO4pfvPLUjZOU39D04yxaBe/f+0B4v7zTrL/8DSLOg8Y+lnKqjNHeGT1GnIrLPy1tFIUfz95OpJ7HRc6Ivj+HULs7BtJCmtFX1hKjdJNSnMVh1TFHzaLW5dlkGhV/Gr8ICLiU8hclEkCBgoOnqSxOzndZCGXhMBwIyAmzeHWYgFa3vAZPPCD77M092WeefukzcrbXMAmVfFPeYPD//t9llgVv1r/YHRpd/DkzzfzMr/kvmd3YbAbcQeCTlVZLo/etYp9X13HR4c+ZmHSdQMhVmSov2s2KBRMjTS1edPaCibDaSpbw0macz2Rnkz7wfGkztZB7QmOVFwclCKK0EAnYOLklrvRLNvCSfVhZClly7KpLNtS6nHJ6krSUE2aTz98FxMnTqTwjKxpXsm2kLxdCRg5XnaOZiw0FuxkU+4Cnt9wm4fXaQPh6Xzvhw/Alhd4LbfGVUifj6vKsvnuqrvYWT2d321/XWb8fSbpOeGgKH/tuInoQjxpdbUQLRgrq7FoI4gK92bS1xCim8g4rZkLlV9i8lx2CRUCw56AatJcsyiD/95RLCbNYd+agVaBNNYum0UkX1G4Zy9G589de6qn4xcyi9i65xiNnqL0EKZavlpbW62xqs4U8uQD/8iH5+by003r+fvU5B5Sy+XeEhg45a80UXW4iLKWUCZdr8Prir/SQkPDZQiJJGKUtwFCRzUsDQ00ezMidESTIyEw7AiISXPYNZn/FNj4Ioujgjp+bVKjsR/HstijE5/vRbcYD/DqT3/G3qxvc3fGNWCpoaL4HMycygT7+n930ozFFZzvlenfzGv/egdLJt7M1/7xR1xsPc+LD93H9vzJrPzuLTyz8uvdZSfX+kigj8rfjDH/z2zbtq3j760PKGwZx+yFt3CTm7NfO036/ex8O38A1oJMGPL/zNvO3Qaqk+FetjvKsTOPkhqxE/SxL/hFMothBw/GpbMhp7PpUPVOTiduQ459VqE6Gm1lwy1x9ofeMjZsyeFkcy+eOqrn8pYN3OJ4cN6ygS05J2lWSViXCeJc8lMDbWXQxD1DTqMjHwuNOc8Q5xbWM0oxafbMSGJ0Q0B11GtoR/1dNve/arLXp7kkNGPM+bG9j8dxy4Yd7veIh0FEUNxznP/6ixT+4WGns5+LwF4e2vOf+gpFl70lNVFx9iuiqaJo9xfc98Aaij78ioTlKfzq3x/xlkjC+0mgj8pf9fb/O9asWePyt5qVWTd22eanNJ7kYMFZbMYcQBNGVNQI6NYvoKNW2qgowlUDgbmaktw95OldfABMRj4va0WX+U3uWfP3LBxfz7HPjLJM0IFv2B1p4xfy7bWw9fd57oPFxmPs2YrdDGnGsOMJ0r71EeM3FtGuPgCb/h9Jf32crMd3uqfzRsDq0byK+/56HRvPtaEobZzbeB1/vS+Lb71SQLN2MgtWL8C49SMKHYreWoYiMJ6i4rzZLtlmEmXtN0jvsu2qI3MxaXawkKMhJNC4n/+87zDfLKxDaT/IozUv8KjDiU8thsdBxB42rnPZ5qeNYXJqHFh/Htsx6PVeB13qZMbbNYvFsItn7/t3cr1HByL56f+8xfVZU6BuJzvfzuVQ9Nf4958+RmxoaLcp5WLfCfRR+fuYoVJPaX4Z7VERLp6FYegmxaK1NNHQ3O5FkILJeJYLlmDGTbqWEMwYjvyNC9EzSJ3c0RmU5gYaNONInBSJhhB0E69FI8sEXpgOl+BryLj72yRteYs9pxxWHAuNhR+xlaUsS78GGvfz2iM7mPn80zyeobP1rfAZrHv9Vdbu9sXhSHVg+gPP7vs6b7zwXTKsW5OC0WX8H17/3QOUPfUKb5+EqQuWs9RF0VvOV1DMSr5z72m276+wOQ66DUo8MRaTpicqEjZEBCIXsfHcLp5MGwMtTdRfjmDCmI5nqG+luIb0ZUvRudwLXdPZ71Gjw09AtZ5VsvPfXse0ZCW6rgncQkJDx/Pdxx/km2PV4BTSbk3kvjmyzu8GaYBPBlH5mzAc2k9ZZDq3zIxxeemPhpD4KUwKbabsyBeet/KZDRQfNcLY6cyZrL5LIJj4zKVkzZ7otjtAaTPR1hmIGiY+Ap2pDKNzLeE33srapUc6FKzd4cg2u8Y2EDDGkTo5xmVQqXocx5E085wPDkd2B6aZc5jhtidZS/iEqczkNGVVzWinzmO1sxwmTu3/kONrH+ThxVM6vKBdByUeKYtJ0yMWCRxSApeLXmFqxEwePJPFt2+2D5h9LoGWyIyVPJG1n2c3fuDZstZcyK9+8iase4bHsmKAeoo2/Quvp2zk54/NJ8yHvBas/B7h16ex/B+W86fX/9X93vYhvUTpHYFBUv4KZsMxDp+/lrlz4un0jigInsBNi9PRtRxj954Cyp3r9OpLfkrIz8lHTzwZN09zU/a9q5rEHrYEtFNY9tByjj/7W3JVk7t1dj2eJ+6eg/paEduniJcWx7o7PAWl8OBe+1vHHNE8fTscmDxds4ado7iiBovV9D+Hvds/5ZSlmaqyFtYuyyR9wXJmWpcDTJyvOEX3Jn8xaXrFLBeGjMCItCc5pbRR9Wg19z3wO9v2197kHp7BE3/4DQ+cfoS5//Az9p10+POrvjc7eOXhB3mKh/jd8yuI11poLvpfnnx/Ia/8UzrhPucTwyt/3MnuLZuYeM01PqeSiH0j0Mc3/PWU2SWqz56zbtvIe7fcGTnvHVh4Z6Z1n6gmIpGFt1+LoewUX+x/jwK31/vezAofXu+rGRXCqM4r/GpYz5sInGWSA38kEEz8N+5gLevZU/gvpPMRW2feQe6NY1Rbor3Ad7G57Lesm+ZtX4mJ896q5ljDLPYWwWFVCLGZ/p89RZXhb+zZGkbSg+Fox08mlQ+pOFdGxXYDazeo26G8fxwmzdrjP+D9WjFpeiclVwaXQDDxNy9iyaq9fHbhNtS7qTcfrW4JL2QXseovu3j7oWSWur3e903OOV/v20zZx38mNzeX9IgnnFmkJ0Nh6ZOkdaN1JkyQ1/Y6gQ32geLyAdVxdOA/7VUHle3bDypV7f2V3aZUHfyTsv1glWIV1Xpa+fit95SDVa2KorQqVQffU976+LSinl2Nn8FqvyvDsk4pfPmbim7dq8qvnpinLN1cYmtztTAN2cp63Qxl3bsVHWFqeNMh5eWsRHvcVqVs810KSzcrZWpnaS9RNi91XGtXGrKfVnS6h5V3q9pcqmcP5y5lc5m9F9nzuvc7KxWdQ5ZSrWSvn6dkfedeJUv3tJLd4EvHrlZWZ6Ypy//h+8qZ2lqXPK/uw8Dqs/7Xlu1lm5Wlzn7eplS9+7BLPx6a8l4qfFlJTHxZKbw0NPlJLu4EvN1jg2T2H+whi11+iI7rJ4E+709s2/Yn8ipDSLqhm3cMDFGxJJuBIDCGG//uDmZueZzvbYpn9YLJHWuAkQt47I2vs/uRf+PVAqP99aOl7PjJD3mKh3nh7mkdcT0WRV3DvJfnl/yVR575NQVG1XPfQnPpVh69702SXn6Sux0WhchZLFs7ij/8dic4vZjDmZAUT+5v/0BZD17+HdmLSbODhRwNFQHttDt5/Y1IXp8wCo1mFHPfS2Hnm/d184M/Q1UyyeeKE3AdI3gbIbjGkWP/JRBw7ddeoby7bkbH7N0NfYNSlr1ZWZ+lU907FZihfOfld5XCc46ZfHczf7ugpjIle/N6JcuaHoWs9crm7DKlyS0fhzUgTVmfXe28Yp1RoXO3SDivyoGvBAKuz/pacYknBIaIgLd7TKPm7xiBaDQa6wsjHOfyPbwIBFz7qS/aufU+Djz0Lr++Y1IPs/nh1VZSWhuBgOuz0rBCwM8IeLvHhrfZ388gS3EGkoAZY+52tpq/zT8vnSiKfyDRiiwhIASuegKi/K/6LuB/ACwnt7BMM4q4n7Tx6C8fHIBXjPpfHaVEQkAICIErSUDM/leS/gDn7c28M8DZiDghMGAEpM8OGEoRJAQ8EvB2j8nM3yMuCRQCQkAICAEhELgERPkHbttKzYSAEBACQkAIeCQgyt8jFgkUAkJACAgBIRC4BET5B27bSs2EgBAQAkJACHgkIMrfIxYJFAJCQAgIASEQuARE+Qdu20rNhIAQEAJCQAh4JCDK3yMWCRQCQkAICAEhELgERPkHbttKzYSAEBACQkAIeCQgyt8jFgkUAkJACAgBIRC4BET5B27bSs2EgBAQAkJACHgkIMrfIxYJFAJCQAgIASEQuARE+Qdu20rNhIAQEAJCQAh4JCDK3yMWCRQCQkAICAEhELgERPkHbttKzYSAEBACQkAIeCQgyt8jFgkUAkJACAgBIRC4BET5B27bSs2EgBAQAkJACHgkoFEURVGvaDQajxEkUAgIASEgBISAEBi+BOxq3q0CIxxnni46rsm3EBACQkAICAEhEDgE/j8/PMRHvsebwAAAAABJRU5ErkJggg=="></p>
<p> </p>
<p><em>Do not accept name for the products.</em></p>
<p><em>Accept “Na<sup>+</sup> + OH<sup>–</sup>” for NaOH.</em></p>
<p><em>Ignore coefficients in front of formula.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«molten» Na<sub>2</sub>O has mobile ions/charged particles <em><strong>AND</strong> </em>conducts electricity</p>
<p>«molten» P<sub>4</sub>O<sub>10</sub> does not have mobile ions/charged particles <em><strong>AND</strong> </em>does not conduct electricity/is poor conductor of electricity</p>
<p> </p>
<p><em>Do <strong>not</strong> award marks without concept of mobile charges being present.</em></p>
<p><em>Award <strong>[1 max]</strong> if type of bonding or electrical conductivity correctly identified in each compound.</em></p>
<p><em>Do <strong>not</strong> accept answers based on electrons.</em></p>
<p><em>Award <strong>[1 max]</strong> if reference made to solution.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>electrons in discrete/specific/certain/different shells/energy levels</p>
<p>energy levels converge/get closer together at higher energies<br><em><strong>OR</strong></em><br>energy levels converge with distance from the nucleus</p>
<p> </p>
<p><em>Accept appropriate diagram for M1, M2 or both.</em></p>
<p><em>Do not give marks for answers that refer to the lines in the spectrum.</em></p>
<p><em><strong>[2 marks]</strong></em> </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.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.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>
<br><hr><br><div class="specification">
<p>The structure of an organic molecule can help predict the type of reaction it can undergo.</p>
</div>
<div class="specification">
<p>Improvements in instrumentation have made identification of organic compounds routine.</p>
<p>The empirical formula of an unknown compound containing a phenyl group was found to be C<sub>4</sub>H<sub>4</sub>O. The molecular ion peak in its mass spectrum appears at <em>m</em>/<em>z </em>= 136.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The Kekulé structure of benzene suggests it should readily undergo addition reactions.</p>
<p> <img src="images/Schermafbeelding_2018-08-10_om_10.35.21.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/07.a_01"></p>
<p>Discuss two pieces of evidence, <strong>one </strong>physical and <strong>one </strong>chemical, which suggest this is not the structure of benzene.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </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>Formulate the ionic equation for the oxidation of propan-1-ol to the corresponding aldehyde by acidified dichromate(VI) ions. Use section 24 of the data booklet.</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>The aldehyde can be further oxidized to a carboxylic acid.</p>
<p>Outline how the experimental procedures differ for the synthesis of the aldehyde and the carboxylic acid.</p>
<p><img 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tu0Za9BG65tdlGp1Wq1qTVXKpU0fTl1s0sCBAgQIECAAAECBDpcYLqsUKp3KDq8x8onQIAAAQIECBAgULiAQFE4uQkJECBAgAABAgQIlEdAoChPL1VCgAABAgQIECBAoHABgaJwchMSIECAAAECBAgQKI+AQFGeXqqEAAECBAgQIECAQOECAkXh5CYkQIAAAQIECBAgUB4BgaI8vVQJAQIECBAgQIAAgcIFBIrCyU1IgAABAgQIECBAoDwCAkV5eqkSAgQIECBAgAABAoULCBSFk5uQAAECBAgQIECAQHkEBIry9FIlBAgQIECAAAECBAoXECgKJzchAQIECBAgQIAAgfIICBTl6aVKCBAgQIAAAQIECBQuIFAUTm5CAgQIECBAgAABAuURECjK00uVECBAgAABAgQIEChcQKAonNyEBAgQIECAAAECBMojIFCUp5cqIUCAAAECBAgQIFC4gEBROLkJCRAgQIAAAQIECJRHQKAoTy9VQoAAAQIECBAgQKBwAYGicHITEiBAgAABAgQIECiPgEBRnl6qhAABAgQIECBAgEDhAgJF4eQmJECAAAECBAgQIFAeAYGiPL1UCQECBAgQIECAAIHCBQSKwslNSIAAAQIECBAgQKA8AgJFeXqpEgIECBAgQIAAAQKFCwgUhZObkAABAgQIECBAgEB5BASK8vRSJQQIECBAgAABAgQKFxAoCic3IQECBAgQIECAAIHyCAgU5emlSggQIECAAAECBAgULiBQFE5uQgIECBAgQIAAAQLlERAoytNLlRAgQIAAAQIECBAoXECgKJzchAQIECBAgAABAgTKIyBQlKeXKiFAgAABAgQIECBQuIBAUTi5CQkQIECAAAECBAiUR0CgKE8vVUKAAAECBAgQIECgcAGBonByExIgQIAAAQIECBAoj4BAUZ5eqoQAAQIECBAgQIBA4QICReHkJiRAgAABAgQIECBQHgGBojy9VAkBAgQIECBAgACBwgUEisLJTUiAAAECBAgQIECgPAICRXl6qRICBAgQIECAAAEChQsIFIWTm5AAAQIECBAgQIBAeQQEivL0UiUECBAgQIAAAQIEChcQKAonNyEBAgQIECBAgACB8ggIFOXppUoIECBAgAABAgQIFC4gUBRObkICBAgQIECAAAEC5REQKMrTS5UQIECAAAECBAgQKFxAoCic3IQECBAgQIAAAQIEyiMgUJSnlyohQIAAAQIECBAgULhASQJFNYdHd+brm1ent1JJZeJvf1Zv3pqR0fHWoFb3ZWhgbgaG9qXamhFf0ijV0aEMVFZkaPS5JM9ldGhFKr3rMzL+Cq9uwqk3vYMjmV7+qYwMLkhlYCijr/ByX1ITPJgAAQIECBAgQCAlCBTjGR3+WC7v+3R++LoPZ8+RWmq1WmrPfiNX5r/myr4PZPOeZ0re6rMyb8221A7eliXdr3BLuy7Mmu0Hc3DjknSXXF15BAgQIECAAAECafdAUc3hPfdk7fseyAXf+PN8evXC9Ey9np49L791w515YFNy4+W3v/L/c+/ZRoAAAQIECBAgQKCEAlMvv9u0tKeza9tXs3PpH2Zw2RtPko7OyVuu+ETuv2tpXj9VaXUse4Y3Z3Xv1Nao3lw8ONS0Naqa8ZH16a0MZPCLn2kctyCD3/vfk0ZPP5YHj26tqm+r2p7Rw837durbr0YyNDjQ2Hp1/PjPZM/m306l99oMP/l8w70ejP4kF1f6c/XwaP5++Nr0nmz70vhIBnsXZHDkqeP6dbItT89nbM+WDF7cO7mO3tXZ/OBoDh/3yGO+PK3N5NHVsV358tH6jjM4yZan6tieDB9j9s08euiXTVM31n90C1fTXa4SIECAAAECBAjMaIGpl9kzepHTLm78x9m+ZU963nx+zpumkq6e+Xnv8sWZN7t+wDPZc8c1ufyvfi0f3vPLya1RR36Ym2dtzSVr78meY4LBjmx5uCcfHT2SIwe35oP/8nVJ/iE7bvxE7pv1wcmtVc9+Le/9xR3pu/zOxmOrObxvSz68+Po8dN4tOVjffnVkTzae91DT1qtzMv9Dt2RT33CuveWv82Q9ixzenS/csCn713wity6blzdcujyr8kC++t2/bzpfo5rx3d/NlizNwIJzpyWZvOP5PDm8LvMX3JtcN5Jna0fy7MiS7F39vlw//POmMZuHOTOb6pPDuWb+snwpa7P/2SOpPftf8s69N2Tx9fdP1tI8ZP364V254wMr89lfvDc768fXHsmGCw7kW195rOnIxpat2rasmXdW0+2uEiBAgAABAgQIzHSBaV6Gz/RlT66veujx/GisJ/19vZl9JksefzTb7jiUVatXZmHPqyYf0TUni69amaU7/y7/8+DUOwb1u+Zn1ep358LZXenq+fX8+kQgSXrWfCK3Xf+Oya1Vsy/M8g2DuWn/V7Nt19NJns6uv/hsHrys6Ziuniz8wz/OvTcdyo3rhydPQp69IB/afGP6hj6eW+7/H9n1hVtz4/7luevW386ceke635oV696Yobu/lwNH3/x4Oru370hWXZoFpztPovqzbL97OLlpMBuWX5jZ6crsC9+d1at+9bgxm9DOyOa5HNj+lxnKVbl5w7LJkDb7N/LvV1+eDP1lth+onyDe/Kea8V335479K144Pt2Zt3xdbr5pfvOBrhMgQIAAAQIECLSpwK+06bpf3LK7l2Tjwd3J4dGMDP9NJk7VfuYH+ezVt2dn/kNWnnbUV6f/Hb/xwnka9eNn96av/2A+tv3H2bAg2b7lYPo/ddwxmZ3X912QbDmQJw5XM6+7K7Pn/142b/peFrzvrRnKu7Np96eyfE4j5OScvOU9y7P0xu/k4QMfyLz6/9pPvBuTrLr3oomTnY/mjJOsuXrg+9m6I+lf2Ry0XpslG3endpLjJ246E5vq43l468NJ/7vy+kbAqp+G073kthycGviYhU2GoLH+P2g6fgJt0uNH0y3G7QQIECBAgAABAu0i0NbvUHSdd37e3DOWvfsPnvrcgKPdGM++oavTe3ZfLvnsDyYDxTmX5fO7/zxL87Psf+KUZxgcHWW6K0cm3jGZ7t4kYwfy+KGpd0HOyVt+Z03W9CRZfEku7jv2M5G65l6StWt+mo/d8/2Mp7Hdqe+KrFh4uu1Op5j/lHe9DDbVp/L4jw6eclZ3EiBAgAABAgQItLdAe79D0X1RBlbNz+0/ejyHqsnJdwLVT07+b/np2f86i/P1XH/1rlz2jcfzxeVTJ3HXT8Lekb1J3vwSezlrIuAk0/7He8/cnH9e412I6s9z/y0fz9C/WJzF+zflhi+8Iw/csPCFrVtdb8ilV1yeXPnd7N7wm8n2h9K/6p685eg7Ay9xscc9vDr6Mth0vTbnv7n3FCDHLcKXBAgQIECAAAECbSfQ1u9QJOdm4YorsnjHn2Tj/Sc72bj+v+6/n/mXP5Bn/smrcviJA9mbN+Udv/nPmj4R6v/l2Wem/xVsx3b0H058N+Twwezf25tVAxeleyLg9GbvIz/J2DFbfw7nif0/S/rnNrb+PJ8n79+Ua4femE1/ujX33rU8+2+8NV845vdldKV74bKs69uRr279Wr61ZU5WLjq/ad3Hrqz5q665b8/KpTluraf6JKXqmdl0nZ9FKxcleye3bk3NOflL9npP8kv/zs2CgaXpOe74pOExNYBLAgQIECBAgACBthVo80BRPxfh6nz+noX59vs+mI9+edcLL+QPj+bBzddlydVP5Kp7P5plc85K94JLs6rn4Wz50t82jns+Y7u+mPXXfi5jZ9jCsds35o+G901usTr8WIauuz5bLlufjyx+bSYCzu9dl9/69sez/s5HGnPUQ81grrz9vGy6bXnmdSXVJ/86t1w7nL5Nt+RD8/9p5iy7MXet+XluvOEvjv2kqdkX5T2rLsjQB6/NHf3vyqK5Z/gJSF0X5LLBtem7fWM+M/LkxKc6Vcf+Nl/a8mgWb7ohK074JKWuM7Q5K3MvuyYf7duWT37me5P1VZ/Mzi9tzY7FN+a2FfOOCzxd6V68Nndd9kCuvG5L9k18ilb9FxHekU/evucMxR1GgAABAgQIECAwkwXaPFDUabtz4ZrPZ8/u69L3k5vTO6vx+yXOfl/uzb/Lvfu/ltuWzJl8odu9KP/pgY1Z+HerG8fNz3/+m9dm9f1fy031cxlO++fVWbrpmiz52aczr1JJ5ezfyUP9m7PzzmWTn8408WlKq/K5nXfmnYdubcxxYX5//zty7/77csP8c5KprU59N2bzhxZMbnHqemOW3fqJrJnY+rS76XyQszJ34P1Z09OTpSvfnrln3K1XpWfJR3Pf7itz5JNvy6xKJbN6N+fIVfflvnVN26qa6z1Dm66e38qn7rsvVx3ZPFnfrLflk0euzO77Ppz5J9uO1fXGLL/zG/ly/0iWnD0rlcqFWfuDN+W6TcuaZj/VuydNh7lKgAABAgQIECAw4wQqtVpt6vN5Jn4BWtOXM26xnbig+naiyxY/mrU/vKPpU6A6UULNBAgQIECAAAECr6RApVKZ+D1ux6/hjP/P+/gH+roAgYntRMN5ft3vZunRj5QtYF5TECBAgAABAgQIEDhDAYHiDKGKPayxBWhiO9Ga3D21NarYRZiNAAECBAgQIECAwGkFbHk6LZEDCBAgQIAAAQIECBCw5clzgAABAgQIECBAgACBlgvY8tRyUgMSIECAAAECBAgQ6BwBgaJzeq1SAgQIECBAgAABAi0XEChaTmpAAgQIECBAgAABAp0jIFB0Tq9VSoAAAQIECBAgQKDlAgJFy0kNSIAAAQIECBAgQKBzBASKzum1SgkQIECAAAECBAi0XECgaDmpAQkQIECAAAECBAh0joBA0Tm9VikBAgQIECBAgACBlgsIFC0nNSABAgQIECBAgACBzhEQKDqn1yolQIAAAQIECBAg0HIBgaLlpAYkQIAAAQIECBAg0DkCAkXn9FqlBAgQIECAAAECBFouIFC0nNSABAgQIECAAAECBDpHQKDonF6rlAABAgQIECBAgEDLBQSKlpMakAABAgQIECBAgEDnCAgUndNrlRIgQIAAAQIECBBouYBA0XJSAxIgQIAAAQIECBDoHAGBonN6rVICBAgQIECAAAECLRcQKFpOakACBAgQIECAAAECnSMgUHROr1VKgAABAgQIECBAoOUCAkXLSQ1IgAABAgQIECBAoHMEBIrO6bVKCRAgQIAAAQIECLRcQKBoOakBCRAgQIAAAQIECHSOgEDROb1WKQECBAgQIECAAIGWCwgULSc1IAECBAgQIECAAIHOEShVoKiODmWgUknv4EjGp+thdV+GBnpT6V2fkfHqNEc9l9GhFalUFmRw5KlpjknKPl9YJfFcqH8DlP25rr56k2fiz0bPvYl/gGZkb/xs9LOx8fLI83Py27Rlr0Ebrm12UanVarWpNVcqlTR9OXWzSwIECBAgQIAAAQIEOlxguqxQqncoOrzHyidAgAABAgQIECBQuIBAUTi5CQkQIECAAAECBAiUR0CgKE8vVUKAAAECBAgQIECgcAGBonByExIgQIAAAQIECBAoj4BAUZ5eqoQAAQIECBAgQIBA4QICReHkJiRAgAABAgQIECBQHgGBojy9VAkBAgQIECBAgACBwgUEisLJTUiAAAECBAgQIECgPAICRXl6qRICBAgQIECAAAEChQsIFIWTm5AAAQIECBAgQIBAeQQEivL0UiUECBAgQIAAAQIEChcQKAonNyEBAgQIECBAgACB8ggIFOXppUoIECBAgAABAgQIFC4gUBRObkICBAgQIECAAAEC5REQKMrTS5UQIECAAAECBAgQKFxAoCic3IQECBAgQIAAAQIEyiMgUJSnlyohQIAAAQIECBAgULiAQFE4uQkJECBAgAABAgQIlEdAoChPL1VCgAABAgQIECBAoHABgaJwchMSIECAAAECBAgQKI+AQFGeXqqEAAECBAgQIECAQOECAkXh5CYkQIAAAQIECBAgUB4BgaI8vVQJAQIECJ6anFwAAAOLSURBVBAgQIAAgcIFBIrCyU1IgAABAgQIECBAoDwCAkV5eqkSAgQIECBAgAABAoULCBSFk5uQAAECBAgQIECAQHkEBIry9FIlBAgQIECAAAECBAoXECgKJzchAQIECBAgQIAAgfIICBTl6aVKCBAgQIAAAQIECBQuUKpAUR0dykClkt7BkYxPR1ndl6GB3lR612dkvDrNUc9ldGhFKpUFGRx5appjkrLPF1ZJPBfq3wBlf66rr97kmfiz0XNv4h+gGdkbPxv9bGy8PPL8nPw2bdlr0IZrm11UarVabWrNlUolTV9O3eySAAECBAgQIECAAIEOF5guK5TqHYoO77HyCRAgQIAAAQIECBQuIFAUTm5CAgQIECBAgAABAuURECjK00uVECBAgAABAgQIEChcQKAonNyEBAgQIECAAAECBMojIFCUp5cqIUCAAAECBAgQIFC4gEBROLkJCRAgQIAAAQIECJRHQKAoTy9VQoAAAQIECBAgQKBwAYGicHITEiBAgAABAgQIECiPgEBRnl6qhAABAgQIECBAgEDhAgJF4eQmJECAAAECBAgQIFAeAYGiPL1UCQECBAgQIECAAIHCBQSKwslNSIAAAQIECBAgQKA8AgJFeXqpEgIECBAgQIAAAQKFCwgUhZObkAABAgQIECBAgEB5BASK8vRSJQQIECBAgAABAgQKFxAoCic3IQECBAgQIECAAIHyCAgU5emlSggQIECAAAECBAgULiBQFE5uQgIECBAgQIAAAQLlERAoytNLlRAgQIAAAQIECBAoXECgKJzchAQIECBAgAABAgTKIyBQlKeXKiFAgAABAgQIECBQuIBAUTi5CQkQIECAAAECBAiUR0CgKE8vVUKAAAECBAgQIECgcAGBonByExIgQIAAAQIECBAoj4BAUZ5eqoQAAQIECBAgQIBA4QICReHkJiRAgAABAgQIECBQHgGBojy9VAkBAgQIECBAgACBwgUEisLJTUiAAAECBAgQIECgPAICRXl6qRICBAgQIECAAAEChQsIFIWTm5AAAQIECBAgQIBAeQQqtVqtVi+nUqmUpyqVECBAgAABAgQIECDwsgg04sPRsX9l6trxd0zd7pIAAQIECBAgQIAAAQLTCdjyNJ2M2wkQIECAAAECBAgQOK2AQHFaIgcQIECAAAECBAgQIDCdgEAxnYzbCRAgQIAAAQIECBA4rcD/B7vXtyAGbF6YAAAAAElFTkSuQmCC"></p>
<p> </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>Deduce the molecular formula of the compound.</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>Identify the bonds causing peaks <strong>A </strong>and <strong>B </strong>in the IR spectrum of the unknown compound using section 26 of the data booklet.</p>
<p><img src="images/Schermafbeelding_2018-08-10_om_10.50.17.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/07.c.ii_01"></p>
<p> <img src="data:image/png;base64,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"></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>Deduce full structural formulas of <strong>two </strong>possible isomers of the unknown compound, both of which are esters.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the formula of the unknown compound based on its <sup>1</sup>H NMR spectrum using section 27 of the data booklet.</p>
<p><img src="images/Schermafbeelding_2018-08-10_om_10.59.18.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/07.c.iv"></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Physical evidence:</em></p>
<p>equal C–C bond «lengths/strengths»</p>
<p><strong><em>OR</em></strong></p>
<p>regular hexagon</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>all<strong>» </strong>C–C have bond order of 1.5</p>
<p><strong><em>OR</em></strong></p>
<p>«all» C–C intermediate between single and double bonds</p>
<p> </p>
<p><em>Chemical evidence:</em></p>
<p>undergoes substitution reaction <strong>«</strong>more readily than addition<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>does not discolour/react with bromine water</p>
<p><strong><em>OR</em></strong></p>
<p>substitution forms only one isomer for 1,2-disubstitution <strong>«</strong>presence of alternate double bonds would form two isomers<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>more stable than expected <strong>«</strong>compared to hypothetical molecule cyclohexa-1,3,5-triene<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>enthalpy change of hydrogenation/combustion is less exothermic than predicted <strong>«</strong>for cyclohexa-1,3,5-triene<strong>»</strong></p>
<p> </p>
<p><em>M1:</em></p>
<p><em>Accept “all C–C–C bond angles are </em><em>equal”.</em></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>3CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OH(l) + Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup>(aq) + 8H<sup>+</sup>(aq) → 3CH<sub>3</sub>CH<sub>2</sub>CHO(aq) + 2Cr<sup>3+</sup>(aq) + 7H<sub>2</sub>O(l)</p>
<p>correct reactants and products</p>
<p>balanced equation</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><em>Aldehyde:</em></p>
<p>by distillation <strong>«</strong>removed from reaction mixture as soon as formed<strong>»</strong></p>
<p><em>Carboxylic acid:</em></p>
<p><strong>«</strong>heat mixture under<strong>» </strong>reflux <strong>«</strong>to achieve complete oxidation to –COOH<strong>»</strong></p>
<p> </p>
<p><em>Accept clear diagrams or descriptions of </em><em>the processes.</em></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><strong>«</strong>\(\frac{{136}}{{48 + 4 + 16}} = 2\)<strong>»</strong></p>
<p>C<sub>8</sub>H<sub>8</sub>O<sub>2</sub></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A: C–H <strong>«</strong>in alkanes, alkenes, arenes<strong>»</strong></p>
<p><strong><em>AND</em></strong></p>
<p>B: C=O <strong>«</strong>in aldehydes, ketones, carboxylic acids and esters<strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p><em><img src="data:image/png;base64,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"> <strong>OR</strong> </em>C<sub>6</sub>H<sub>5</sub>COOCH<sub>3</sub></p>
<p><img src="data:image/png;base64,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"><em><strong>OR</strong> </em>CH<sub>3</sub>COOC<sub>6</sub>H<sub>5</sub></p>
<p><img src="data:image/png;base64,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"> <em><strong>OR</strong> </em>HCOOCH<sub>2</sub>C<sub>6</sub>H<sub>5</sub></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>penalize use of Kekule </em><em>structures for the phenyl group.</em></p>
<p><em>Accept the following structures:</em></p>
<p><img src="images/Schermafbeelding_2018-08-10_om_10.55.29.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/07.c.iii_02/M"></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for two correct </em><em>aliphatic/linear esters with the molecular </em><em>formula C</em><sub><em>8</em></sub><em>H</em><sub><em>8</em></sub><em>O</em><sub><em>2</em></sub><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>C<sub>6</sub>H<sub>5</sub>COOCH<sub>3</sub> <strong>«</strong>signal at 4 ppm (3.7 – 4.8 range in data table) due to alkyl group on ester</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.iv.</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">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iv.</div>
</div>
<br><hr><br><div class="specification">
<p>The reactivity of organic compounds depends on the nature and positions of their functional groups.</p>
</div>
<div class="specification">
<p>The structural formulas of two organic compounds are shown below.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the type of chemical reaction and the reagents used to distinguish between these compounds.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the observation expected for each reaction giving your reasons.</p>
<p><img 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"></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>Deduce the number of signals and the ratio of areas under the signals in the <sup>1</sup>H NMR spectra of the two compounds.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[4]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain, with the help of equations, the mechanism of the free-radical substitution reaction of ethane with bromine in presence of sunlight.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>oxidation/redox AND acidified «potassium» dichromate(VI)</p>
<p><em><strong>OR</strong></em></p>
<p>oxidation/redox AND «acidified potassium» manganate(VII)</p>
<p><em>Accept “acidified «potassium» dichromate” <strong>OR</strong> “«acidified potassium» permanganate”.</em></p>
<p><em>Accept name or formula of the reagent(s).</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1</strong></em> using K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>:</p>
<p><em>Compound A:</em> orange to green <strong><em>AND</em></strong> secondary hydroxyl</p>
<p><em><strong>OR</strong></em></p>
<p><em>Compound A:</em> orange to green <em><strong>AND</strong></em> hydroxyl oxidized «by chromium(VI) ions»</p>
<p><em>Compound B:</em> no change <em><strong>AND</strong></em> tertiary hydroxyl «not oxidized by chromium(VI) ions»</p>
<p><em>Award <strong>[1]</strong> for “A: orange to green <strong>AND</strong> B: no change”.</em></p>
<p><em>Award <strong>[1]</strong> for “A: secondary hydroxyl <strong>AND</strong> B: tertiary hydroxyl”.</em></p>
<p><em><strong>ALTERNATIVE 2</strong></em> using KMnO<sub>4</sub>:</p>
<p><em>Compound A:</em> purple to colourless <em><strong>AND</strong></em> secondary hydroxyl</p>
<p><em><strong>OR</strong></em></p>
<p><em>Compound A:</em> purple to colourless <em><strong>AND</strong></em> hydroxyl oxidized «by manganese(VII) ions»</p>
<p><em>Compound B:</em> no change <em><strong>AND</strong></em> tertiary hydroxyl «not oxidized by manganese(VII) ions»</p>
<p><em>Accept “alcohol” for “hydroxyl”.</em></p>
<p><em>Award <strong>[1]</strong> for “A: purple to colourless <strong>AND</strong> B: no change”</em></p>
<p><em>Award <strong>[1]</strong> for “A: secondary hydroxyl <strong>AND</strong> B: tertiary hydroxyl”.</em></p>
<p><em>Accept “purple to brown” for A.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Accept ratio of areas in any order.</em></p>
<p><em>Do <strong>not</strong> apply ECF for ratios.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Initiation:</em><br>Br<sub>2</sub> <img src="data:image/png;base64,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"> 2Br•</p>
<p><em>Propagation:</em><br>Br• + C<sub>2</sub>H<sub>6</sub> → C<sub>2</sub>H<sub>5</sub>• + HBr</p>
<p>C<sub>2</sub>H<sub>5</sub>• + Br<sub>2</sub> → C<sub>2</sub>H<sub>5</sub>Br + Br•</p>
<p><em>Termination:</em><br>Br• + Br• → Br<sub>2</sub></p>
<p><em><strong>OR</strong></em></p>
<p>C<sub>2</sub>H<sub>5</sub>• + Br• → C<sub>2</sub>H<sub>5</sub>Br</p>
<p><em><strong>OR</strong></em></p>
<p>C<sub>2</sub>H<sub>5</sub>• + C<sub>2</sub>H<sub>5</sub>• → C<sub>4</sub>H<sub>10</sub></p>
<p><em>Reference to UV/hν/heat not required.</em></p>
<p><em>Accept representation of radical without • (eg, Br, C<sub>2</sub>H<sub>5</sub>) if consistent throughout mechanism.</em></p>
<p><em>Accept further bromination.</em></p>
<p><em>Award <strong>[3 max]</strong> if initiation, propagation and termination are not stated or are incorrectly labelled for equations.</em></p>
<p><em>Award <strong>[3 max]</strong> if methane is used instead of ethane, and/or chlorine is used instead of bromine.</em></p>
<div class="question_part_label">b.</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>
<br><hr><br><div class="specification">
<p>The Bombardier beetle sprays a mixture of hydroquinone and hydrogen peroxide to fight off predators. The reaction equation to produce the spray can be written as:</p>
<table style="width: 388.667px; margin-left: 120px;">
<tbody>
<tr>
<td style="width: 211px;">C<sub>6</sub>H<sub>4</sub>(OH)<sub>2</sub>(aq) + H<sub>2</sub>O<sub>2</sub>(aq)</td>
<td style="width: 18px;">→</td>
<td style="width: 195.667px;">C<sub>6</sub>H<sub>4</sub>O<sub>2</sub>(aq) + 2H<sub>2</sub>O(l)</td>
</tr>
<tr>
<td style="width: 211px;">hydroquinone</td>
<td style="width: 18px;"> </td>
<td style="width: 195.667px;">quinone</td>
</tr>
</tbody>
</table>
<p style="text-align: center; padding-left: 120px;"><br> </p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the enthalpy change, in kJ, for the spray reaction, using the data below.</p>
<p>\(\begin{array}{*{20}{l}} {{{\text{C}}_{\text{6}}}{{\text{H}}_{\text{4}}}{{{\text{(OH)}}}_{\text{2}}}{\text{(aq)}} \to {{\text{C}}_{\text{6}}}{{\text{H}}_{\text{4}}}{{\text{O}}_{\text{2}}}{\text{(aq)}} + {{\text{H}}_{\text{2}}}{\text{(g)}}}&{\Delta {H^\theta } = + {\text{177.0 kJ}}} \\ {{\text{2}}{{\text{H}}_{\text{2}}}{\text{O(l)}} + {{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{2}}{{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}{\text{(aq)}}}&{\Delta {H^\theta } = + {\text{189.2 kJ}}} \\ {{{\text{H}}_{\text{2}}}{\text{O(l)}} \to {{\text{H}}_{\text{2}}}{\text{(g)}} + \frac{{\text{1}}}{{\text{2}}}{{\text{O}}_{\text{2}}}{\text{(g)}}}&{\Delta {H^\theta } = + {\text{285.5 kJ}}} \end{array}\)</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>The energy released by the reaction of one mole of hydrogen peroxide with hydroquinone is used to heat 850 cm<sup>3</sup> of water initially at 21.8°C. Determine the highest temperature reached by the water.</p>
<p>Specific heat capacity of water = 4.18 kJ\(\,\)kg<sup>−1</sup>\(\,\)K<sup>−1</sup>.</p>
<p>(If you did not obtain an answer to part (i), use a value of 200.0 kJ for the energy released, although this is not the correct answer.)</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>Identify the species responsible for the peak at <em>m/z</em> = 110 in the mass spectrum of hydroquinone.</p>
<p style="text-align: left;"><img 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"></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>Identify the highest <em>m/z</em> value in the mass spectrum of quinone.</p>
<p style="text-align: left;"><img 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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em> = 177.0 – \(\frac{{189.2}}{2}\) –285.5 «kJ»</p>
<p>«Δ<em>H</em> =» –203.1 «kJ»</p>
<p> </p>
<p><em>Accept other methods for correct manipulation of the three equations.</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></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>203.1 «kJ» = 0.850 «kg» x 4.18 «kJ\(\,\)kg<sup>–1\(\,\)</sup>K<sup>–1</sup>» x Δ<em>T</em> «K»<br><em><strong>OR</strong></em><br>«Δ<em>T</em> =» 57.2 «K»<br>«<em>T<sub>final</sub></em> = (57.2 + 21.8) °C =» 79.0 «°C» / 352.0 «K»</p>
<p><br><em>If 200.0 kJ was used:</em><br>200.0 «kJ» = 0.850 «kg» x 4.18 «kJ\(\,\)kg<sup>–1</sup>\(\,\)K<sup>–1</sup>» x Δ<em>T</em> «K»<br><em><strong>OR</strong></em><br>«Δ<em>T</em> =» 56.3 «K»<br>«<em>T<sub>final</sub></em> = (56.3 + 21.8) °C =» 78.1 «°C» / 351.1 «K»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Units, if specified, must be consistent with the value stated.</em></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>C<sub>6</sub>H<sub>4</sub>(OH)<sub>2</sub><sup>+</sup></p>
<p> </p>
<p><em>Accept “molecular ion”.</em></p>
<p><em>Do <strong>not</strong> accept “C<sub>6</sub>H<sub>4</sub>(OH)<sub>2</sub>” (positive charge missing).</em></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>«highest <em>m/z</em>» 108</p>
<p> </p>
<p><em>Only accept exactly 108, not values close to this.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.</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>
<br><hr><br><div class="specification">
<p>This question is about carbon and chlorine compounds.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethane, C<sub>2</sub>H<sub>6</sub>, reacts with chlorine in sunlight. State the type of this reaction and the name of the mechanism by which it occurs.</p>
<p><img src="data:image/png;base64,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"></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>Formulate equations for the two propagation steps and one termination step in the formation of chloroethane from ethane.</p>
<p><img 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"></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>One possible product, <strong>X</strong>, of the reaction of ethane with chlorine has the following composition by mass:</p>
<p style="text-align: center;">carbon: 24.27%, hydrogen: 4.08%, chlorine: 71.65%</p>
<p>Determine the empirical formula of the product.</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>The mass and <sup>1</sup>H\(\,\)NMR spectra of product <strong>X</strong> are shown below. Deduce, giving your reasons, its structural formula and hence the name of the compound.</p>
<p style="text-align: left;"><img src="data:image/png;base64,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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Chloroethene, C<sub>2</sub>H<sub>3</sub>Cl, can undergo polymerization. Draw a section of the polymer with three repeating units.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>substitution <em><strong>AND</strong> </em>«free-»radical<br><em><strong>OR</strong></em><br>substitution <em><strong>AND</strong> </em>chain</p>
<p> </p>
<p><em>Award [1] for “«free-»radical substitution” or “S<sub>R</sub>” written anywhere in the answer.</em></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><em>Two propagation steps:</em><br>C<sub>2</sub>H<sub>6</sub> + •Cl → C<sub>2</sub>H<sub>5</sub>• + HCl</p>
<p>C<sub>2</sub>H<sub>5</sub>• + Cl<sub>2</sub> → C<sub>2</sub>H<sub>5</sub>Cl + •Cl</p>
<p><em>One termination step:</em><br>C<sub>2</sub>H<sub>5</sub>• + C<sub>2</sub>H<sub>5</sub>• → C<sub>4</sub>H<sub>10</sub><br><em><strong>OR</strong></em><br>C<sub>2</sub>H<sub>5</sub>• + •Cl → C<sub>2</sub>H<sub>5</sub>Cl<br><em><strong>OR</strong></em><br>•Cl + •Cl → Cl<sub>2</sub></p>
<p> </p>
<p><em>Accept radical without • if consistent throughout.</em></p>
<p><em>Allow ECF from incorrect radicals produced in propagation step for M3.</em></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>\({\text{C}} = \frac{{24.27}}{{12.01}}\) = 2.021 <em><strong>AND</strong></em> \({\text{H}} = \frac{{4.08}}{{1.01}}\) = 4.04 <em><strong>AND</strong></em> \({\text{Cl}} = \frac{{71.65}}{{35.45}} = 2.021\)</p>
<p>«hence» CH<sub>2</sub>Cl</p>
<p> </p>
<p><em>Accept \(\frac{{24.27}}{{12.01}}\) : \(\frac{{4.08}}{{1.01}}\) : \(\frac{{71.65}}{{35.45}}.\)</em></p>
<p><em>Do <strong>not</strong> accept C<sub>2</sub>H<sub>4</sub>Cl<sub>2</sub>. </em></p>
<p><em>Award [2] for correct final answer.</em></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>molecular ion peak(s) «about» <em>m/z</em> 100 <em><strong>AND</strong> </em>«so» C<sub>2</sub>H<sub>4</sub>Cl<sub>2</sub> «isotopes of Cl»</p>
<p>two signals «in <sup>1</sup>H\(\,\)NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub><br><em><strong>OR</strong></em><br>«signals in» 3:1 ratio «in <sup>1</sup>H\(\,\)NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub><br><em><strong>OR</strong></em><br>one doublet and one quartet «in 1H\(\,\)NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub></p>
<p>1,1-dichloroethane</p>
<p> </p>
<p><em>Accept “peaks” for “signals”.</em></p>
<p><em>Allow ECF for a correct name for M3 if an incorrect chlorohydrocarbon is identified</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Continuation bonds must be shown.</em></p>
<p><em>Ignore square brackets and “n”.</em></p>
<p><em>Accept <img src="images/Schermafbeelding_2017-09-25_om_08.18.53.png" alt="M17/4/CHEMI/SP2/ENG/TZ1/05.d/M"> .</em></p>
<p><em>Accept other versions of the polymer, such as head to head and head to tail.</em></p>
<p><em>Accept condensed structure provided all C to C bonds are shown (as single).</em></p>
<p><strong><em>[1 mark]</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.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>
<br><hr><br><div class="specification">
<p>Alkenes are widely used in the production of polymers. The compound <strong>A</strong>, shown below, is used in the manufacture of synthetic rubber.</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>(i) State the name, applying IUPAC rules, of compound <strong>A</strong>.</p>
<p>(ii) Draw a section, showing three repeating units, of the polymer that can be formed from compound <strong>A</strong>.</p>
<p>(iii) Compound <strong>A</strong> is flammable. Formulate the equation for its complete combustion.</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>Compound <strong>B</strong> is related to compound <strong>A</strong>.</p>
<p><img 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" alt></p>
<p>(i) State the term that is used to describe molecules that are related to each other in the same way as compound <strong>A</strong> and compound <strong>B</strong>.</p>
<p>(ii) Suggest a chemical test to distinguish between compound <strong>A</strong> and compound <strong>B</strong>, giving the observation you would expect for each.</p>
<p>Test:</p>
<p>Observation with <strong>A</strong>:</p>
<p>Observation with <strong>B</strong>:</p>
<p>(iii) Spectroscopic methods could also be used to distinguish between compounds <strong>A</strong> and <strong>B</strong>.</p>
<p>Predict one difference in the IR spectra <strong>and</strong> one difference in the <sup>1</sup>H NMR spectra of these compounds, using sections 26 and 27 of the data booklet.</p>
<p>IR spectra:</p>
<p><sup>1</sup>H NMR spectra:</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>A sample of compound <strong>A</strong> was prepared in which the <sup>12</sup>C in the CH<sub>2</sub> group was replaced by <sup>13</sup>C.</p>
<p>(i) State the main difference between the mass spectrum of this sample and that of normal compound <strong>A</strong>.</p>
<p>(ii) State the structure of the nucleus and the orbital diagram of <sup>13</sup>C in its ground state.</p>
<p><img 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" alt></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>Draw a 1s atomic orbital and a 2p atomic orbital.</p>
<p><img src="data:image/png;base64,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" alt></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
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<p>(i)<br>methylpropene</p>
<p>(ii)<br>−CH<sub>2</sub>−C(CH<sub>3</sub>)<sub>2</sub>−CH<sub>2</sub>−C(CH<sub>3</sub>)<sub>2</sub>−CH<sub>2</sub>−C(CH<sub>3</sub>)<sub>2</sub>−</p>
<p><em>Must have continuation bonds at both ends.</em></p>
<p><em>Accept any orientation of the monomers, which could give methyl side-chains on neighbouring atoms etc.</em></p>
<p>(iii)<em><br></em>C<sub>4</sub>H<sub>8</sub> (g) + 6O<sub>2</sub> (g) → 4CO<sub>2</sub> (g) + 4H<sub>2</sub>O(l)</p>
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<div class="question_part_label">a.</div>
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<p>(i)<br><strong>«</strong>structural/functional group<strong>»</strong> isomer<strong>«</strong>s<strong>»</strong></p>
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<p>(ii)<br><em>Test</em>:<br><strong>«</strong>react with» bromine/Br<sub>2</sub> <strong>«</strong>in the dark<strong>»<br></strong><em><strong>OR<br></strong></em><strong>«</strong>react with<strong>»</strong> bromine water/Br<sub>2</sub> (aq) <strong>«i</strong>n the dark<strong>»</strong></p>
<em>A:</em> from yellow/orange/brown to colourless <em><strong>AND</strong></em> B: colour remains/slowly decolourized</div>
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<div class="column"><em>Accept other correct reagents, such as manganate(VII) or iodine solutions, and descriptions of the corresponding changes observed.</em></div>
<div class="column"><em>Accept “decolourized” for A and “not decolourized/unchanged” for B. </em></div>
<div class="column"><em>Do <strong>not</strong> accept “clear/transparent” instead of “colourless”.</em></div>
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<div class="column">(iii)</div>
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<p><em>IR</em>: <strong>A</strong> would absorb at 1620–1680cm<sup><sub>−1</sub></sup> <em><strong>AND </strong></em><strong>B</strong> would not</p>
<p><sup>1</sup>H NMR: <strong>A</strong> would have 2 signals <em><strong>AND </strong></em><strong>B</strong> would have 1 signal<br><em><strong>OR<br></strong></em><strong>A</strong> would have a signal at 4.5–6.0 ppm <em><strong>AND </strong></em><strong>B</strong> would not<br><em><strong>OR<br></strong></em><strong>A</strong> would have a signal at 0.9–1.0 ppm <em><strong>AND </strong></em><strong>B</strong> would not<br><em><strong>OR<br></strong></em><strong>B</strong> would have a signal at 1.3–1.4 ppm<strong><em> AND</em> A</strong> would not</p>
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<p><em>Accept “peak” for “signal”.</em></p>
<p><em>Award <strong>[1 max]</strong> if students have a correct assignation of a signal, but no comparison, for <strong>both</strong> IR and NMR.</em><br><em> Accept “B would have a signal at 2.0 ppm” as shown in its <sup>1</sup>H NMR spectrum.</em></p>
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<div class="question_part_label">b.</div>
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<p>(i)<br>«molecular ion» peak at <strong>«</strong>m/z =<strong>»</strong> 57, <strong>«</strong>not 56<strong>»</strong> <br><em><strong>OR</strong></em><br><strong>«</strong>molecular ion<strong>»</strong> peak at one <strong>«</strong>m/z<strong>»</strong> higher<br><em><strong>OR</strong></em><br>will not have a <strong>«</strong>large<strong>»</strong> peak at 56</p>
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<p><em>Accept a peak at m/z one greater than the <sup>12</sup>C one for any likely fragment.</em></p>
<p>(ii)<br>protons: 6 <em><strong>AND</strong></em> neutrons: 7</p>
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<p><img src="data:image/png;base64,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" alt></p>
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<p><em>Accept full arrows.</em><br><br></p>
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<p><em> </em></p>
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<div class="question_part_label">c.</div>
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<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" alt></p>
<p><em>Accept p orbitals aligned on </em>y−<em> and z−axes, or diagrams correctly showing all three p-orbitals.</em><br><em> Do <strong>not</strong> accept p-orbitals without a node.</em></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>A student titrated an ethanoic acid solution, CH<sub>3</sub>COOH (aq), against 50.0 cm<sup>3</sup> of 0.995 mol dm<sup>–3</sup> sodium hydroxide, NaOH (aq), to determine its concentration.</p>
<p>The temperature of the reaction mixture was measured after each acid addition and plotted against the volume of acid.</p>
<p><img 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"></p>
</div>
<div class="specification">
<p>Curves <strong>X</strong> and <strong>Y</strong> were obtained when a metal carbonate reacted with the same volume of ethanoic acid under two different conditions.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Using the graph, estimate the initial temperature of the solution.</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>Determine the maximum temperature reached in the experiment by analysing the graph.</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>Calculate the concentration of ethanoic acid, CH<sub>3</sub>COOH, in mol dm<sup>–3</sup>.</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>Determine the heat change, <em>q</em>, in kJ, for the neutralization reaction between ethanoic acid and sodium hydroxide.</p>
<p>Assume the specific heat capacities of the solutions and their densities are those of water.</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>Calculate the enthalpy change, Δ<em>H</em>, in kJ mol<sup>–1</sup>, for the reaction between ethanoic acid and sodium hydroxide.</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>Explain the shape of curve <strong>X</strong> in terms of the collision theory.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>one</strong> possible reason for the differences between curves <strong>X</strong> and <strong>Y</strong>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>21.4 °C</p>
<p><em>Accept values in the range of 21.2 to 21.6 °C.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>29.0 «°C»</p>
<p><em>Accept range 28.8 to 29.2 °C.</em></p>
<p><strong><em> </em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1</strong></em></p>
<p>«volume CH<sub>3</sub>COOH =» 26.0 «cm<sup>3</sup>»</p>
<p>«[CH<sub>3</sub>COOH] = 0.995 mol dm<sup>–3</sup> \( \times \frac{{50.0\,{\text{cm<sup>3</sup>}}}}{{26.0\,{\text{cm<sup>3</sup>}}}} = \)» 1.91 «mol dm<sup>−3</sup>»</p>
<p><em><strong>ALTERNATIVE 2</strong></em></p>
<p>«<em>n</em>(NaOH) =0.995 mol dm<sup>–3</sup> x 0.0500 dm<sup>3</sup> =» 0.04975 «mol»</p>
<p>«[CH<sub>3</sub>COOH] = \(\frac{{0.04975}}{{0.0260}}\) dm<sup>3</sup> =» 1.91 «mol dm<sup>–3</sup>»</p>
<p><em>Accept values of volume in range 25.5 to 26.5 cm<sup>3</sup>.</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«total volume = 50.0 + 26.0 =» 76.0 cm<sup>3</sup> <em><strong>AND</strong></em> «temperature change 29.0 – 21.4 =» 7.6 «°C»</p>
<p>«<em>q</em> = 0.0760 kg x 4.18 kJ kg<sup>–1</sup> K<sup>–1</sup> x 7.6 K =» 2.4 «kJ»</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>n</em>(NaOH) = 0.995 mol dm<sup>–3</sup> x 0.0500 dm<sup>3</sup> =» 0.04975 «mol»</p>
<p><em><strong>OR</strong></em></p>
<p>«<em>n</em>(CH<sub>3</sub>COOH) = 1.91 mol dm<sup>–3</sup> x 0.0260 dm<sup>3</sup> =» 0.04966 «mol»</p>
<p>«Δ<em>H</em> = \( - \frac{{2.4\,{\text{kJ}}}}{{0.04975\,{\text{mol}}}} = \)» –48 / –49 «kJ mol<sup>–1</sup>»</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Negative sign is required for M2.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«initially steep because» greatest concentration/number of particles at start</p>
<p><em><strong>OR</strong></em></p>
<p>«slope decreases because» concentration/number of particles decreases</p>
<p>volume produced per unit of time depends on frequency of collisions</p>
<p><em><strong>OR</strong></em></p>
<p>rate depends on frequency of collisions</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>mass/amount/concentration of metal carbonate more in <strong>X</strong></p>
<p><em><strong>OR</strong></em></p>
<p>concentration/amount of CH<sub>3</sub>COOH more in <strong>X</strong></p>
<div class="question_part_label">e.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.</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.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Sodium thiosulfate solution reacts with dilute hydrochloric acid to form a precipitate of sulfur at room temperature.</p>
<p style="text-align: center;">Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq) + 2HCl (aq) → S (s) + SO<sub>2 </sub>(g) + 2NaCl (aq) + X</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the formula and state symbol of X.</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>Suggest why the experiment should be carried out in a fume hood or in a well-ventilated laboratory.</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>The precipitate of sulfur makes the mixture cloudy, so a mark underneath the reaction mixture becomes invisible with time.</p>
<p style="text-align: center;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAH8AAAEiCAYAAADQ2g2OAAAXsklEQVR4Ae1dbYxexXWejbYgPppFivhhY2Vt0aqFqiwk+VGJivWWqqSpxBoqWpyKrn8mIGWJ3Aj51xqVSEkTdW2p0EBC11Yl+qHSNSggJSVZVpSUqiqLqcSSNNFi6o+qrrReA65a20z1XPt5Pb68996Z+zWfI+3O/Zg7d855zjkzc87ceUeklFKkFCUHPhYl1YnojAMJ/IgFIYGfwI+YAxGTnjQ/YvBHY6D95ZdfFm+88YY4deqUwHFZuvXWW8V1110ntm/fLnhcVt7neyMhTvXeeecdcejQoexveXm5ET4TExOZIOzatSsThkaVufYwwA8lLSwsyMnJSfgtOvkbHx+X8/Pzcn19PQiWiRCoAOgApivQ8/WOjY3Jubk574XAa7MP0/7www+LI0eO1DKok5OTlz2H7sKkrrGxsez9e/fuvaweb0581Py1tTUj8w6rMDMzk5nspaWlSpJXVlYkrMn09LSEluc1P38+MTEh8YxvyTvNh7Zj8LWxsVGqYOPj42LHjh1ZWYzaMdLHiB+jfWg4/pDUASEtAUf6eB7pwIED2Z9aNruR+zc3Nye8sgI+Sevs7GylFmLAB61FgoXAAA2amddW3XNo/+LiYlYfrEbV2ALlfRkQejPgg9kuAwyg0KQDrLZH/awfwFYJE+77IABegF8FPEbeSDqaWSZAOvdgVUIRAOfBLwMe2oiBFsCAudUBr40yoQiA0+CXAY9ROECHidcZkbcBulpHCALgLPhgrsrs/DFMPQZ0+et9nqONaEOV8EGIXUxOgg9TXgUitL7MMlQ93+Q+B3y0PjqzEAiKa8lJ8MncIoAwkkeq0rii55tch8CpYOtaILQVVsKl5Bz4YGYVOCijYx2q6jG9T/OtTiMx6ESqEli8i0LrigA4Bb5O/wkmYpCHaZ0peHXLQ2vhLGLK1wNB1BFatp312M6dWskD12iV2xYeVSy2qFqUkfO81jpF4AYuW7iC4eotct2iLXAJ6yQEolxJzoAPBh88eLA1vmARxvT0dAbe4uKiWFpaEuvr67B0H/lbW1sTMzMz2bvx3OzsrMAziAcgjrBv3z6xbdu2QoFDOcQPdBKihogVOJFsmx6+32TkDpOfN7MwzagDXQJmAkwoi2sojz8c5xPMtjoYwzFG53nHEft3tc+HKUc5pHx3UHTOevLt6PvciTV80BxE63QTysPMPvroowLRO5hjaCjrgWlFBO/w4cODKmHCUSbfZeAZlEVixK8opo/rKL9169bLooG4ZpJQj0lXYVK3Udm+pW3Y+6ocOnkNggZzwIdjaGpeS/PPtHWOtsJ6qPVxFqBeqzrmM8P40dc1J/p8E62HZENT1QEWxgvPPfeckdDXLYy2YvAHS8IES8D1AbxWlZvSXFVfnfvWwYfJNAWOZhqDs74T2oo2owthAvhsE69V5ZjV9DFjKWuHdfDrMAB9JjRN1f4yItu+h9G/OmVDO+rQUeeZNmmxPuAz1RgSzyVW0MK+TSjAB+AYbOL9EMQ6QNZ5hvS3kVtfwwcmVq2NUwlFX4sRe9GIXC3rw7HN7RGsm30TzYfTBlqG/haLLYc5bHSuwdkDzx0ECX84LnIA6dSHtsAxhHpMk+lA0bT+0vJ9TSuK3lM1JVLvwxmDKR6cJG0ESTBFVB1CRW2suo624K9OmBn02EpWNd9E6yHBcKGin6SzpVSqNW5ilI4upElCn48/dF1w26oDQZ16bWq+VfDBtLoJ3jsIg03m4d1oAz2JGHjq+vhJt832WwWfDNDN86NjML0J8wBWk5kC3u3zwNP6VE8XeJZraqZZDwTpnnvuyU4R1UMXYJrygoeZS/6aaZ19lvdK8zFGyJtV03EDmavG5tVj3tfJ8+9G2/LWSaceW2W8B78Os/GM6lvAOoI6GpvvMup6+myBb3UZl+k6PMbB8+vl1Fi8zrQpH4/HdBKLMk0So4qciqJNSGgjr+nkNlf1WgUfzNJhkFoGQKurZ3EPjNedr+dBY91YDAJh1El4Vx5krPEzFWa82+Y83zr4YDoB0MmLmAwBqGIkni17H+5V1YFYfh54tLuOgwfPmVotHeHULeOdbx/BFPTPZTEBhHrzswK1j9fpY/mtPsvCJ8H5PK8xx/o/BHswY9BZgMrnkF8wfuqVHo91paSrcliJo6Pxahn0kzCxZVqslu/yGG2A1ue7Ip13tuGiboKL9dF+fuqmI/d0oWK0DUtgK+HdmDlgyrd//37jZtSh3fglZQ80kZw2noXW6GhJvgz7ZzxvwwJwDR7GCHXfP2wlcRs81a3D+oAPDW2y+LLp83mh0j3H4BHA65bPl4PA2E7WzT6sElfllFmoonswuzbMZ1OHThOai3hhet178DEK7xt8LADBO+t4FwmQugCU1/rOnQAf0zJ+LmXKABuaD61lDN+0vSiPgSIsh/Vku9/h++HsyPeLOud13ao6dReVwUDN9EMTtS6bLl3yG7kTAz42CCNolUm6x8NcvrrPmpbjQK3uIJXxCdJsM3cK/Lraj5F33WdNwYczp+70FO9yReud03w0qI7Hj9o0LFpnCm5VeQhZnTaiXtsevbyVcUrz0Tho1bDASRUo6IebzLur6sd9fopdp33oLiA4LiXnwAdz6oRG+9B+tKvuQA9dk2vJSfDBJDBLRxvVMuz767pb1bryxxiM1rVKtBgJfAMOmI7+aVrramcecJ6jXgBfp683WWhiwJpWijqr+aTOdBDHeb+p4BDoYTnGE3W7IgiNq8l58ME8ADoMlKJrAB6pDQGAFalj7mEtIDAuJ+fBB/PAfFMg2xAAAm8qfC6belUYvQCfDa4rAKarbKC1mDbWsTropvCcD8kr8MFQaCPAKTL5+esYaQMM9NtV4wfcx6AO5QG+6XweQuZT8g58MBfOkiogVSEAiABTJ6GfNrUwJvXrtKGvMtZX7zYJa/KTaN0Vswilqt/kIayK9Xf8Whirgk0/vMSGDFhTmF8t3ISu3p7tS8q6eg9MNEy1SVegWoW6x7AOrrlrTXnspdkfRiSEAOMB05G5Cfgw7xA030En/7w2+0XmEaac394XfWhR9Gz+OroKrNzBsqu+l4vl29L2eZDgq0xCfw5hwHIvHuO+2r9zTR6uY0yAPwCNMYGXfbnKgJLj4MEvoT36W04s4IweBUsMSOBbYrwLr40a/JGREYG/WFPU4McKOulO4JMTEeYJ/AhBJ8kJfHIiwjyBHyHoJDmBT05EmCfwIwSdJCfwyYkI8wR+hKCT5AQ+ORFhnsCPEHSSnMAnJyLME/gRgk6SE/jkRIR5Aj9C0ElyAp+ciDBP4EcIOklO4JMTEeYJ/AhBJ8kJfHIiwjyBHyHoJDmBT05EmCfwIwSdJCfwyYkI8wR+hKCT5AQ+ORFhnsCPEHSSnMAnJyLME/gRgk6SE/jkRIR5Aj9C0ElyAp+ciDBP4EcIOklO4JMTEeYJ/AhBJ8kJfHIiwjyBHyHoJHmUB6Hm6q7aRTQW/Ro2dt8MbcvVy3jATXhDzev8IhY3Y8azIafgt1/FfrvQXtN99LHhMqxGyHvvBt/nA7y9e/deZu10TvBMyMCDB8FrPoHGDtrLy8s8Lc0nJyezXbpLCwVwMxrwMaibmprSgmxlZSXsgd5FLgRv9ok2NH9mZoanhTnKBD3CVyiPRvNBM35gAcAW/SATfnQBZULv64l/NJoPgvELGvglrKLk7a9kFRFUcT0qzScvIAT5qR+mdtD6mFJUmk9g9+3bx8NBPuza4GagB1FqPrBUp36xTO3yMhwt+PDe3XbbbRk/1tbWLvulzTyTQj0PPrBTBBxG/QcPHhSvv/56lMBnfAkhcMHgjSktZ86cqfVz5wj8hBD0iVbzIflXXXVV9ldkHUK/HuVoP3RQdelL4OtyKsByCfwAQdUlKYGvy6kAyyXwAwRVl6QEvi6nAiyXwA8QVF2SEvi6nAqwXAI/QFB1SUrg63IqwHIJ/ABB1SUpga/LqQDLJfADBFWXpAS+LqcCLJfADxBUXZIS+LqcCrBcAj9AUHVJSuDrcirAcgn8AEHVJSmBr8upAMsl8AMEVZekBL4upwIsl8APEFRdkhL4upwKsFwCP0BQdUlK4OtyKsByCfwAQdUlKYGvy6kAyyXwAwRVl6QEvi6nAiyXwA8QVF2SEvi6nAqwXAI/QFB1SUrg63IqwHJBgI899ftONt7ZNo3eb8UGELCjJnbXKvq5lLaZhj38sJWb7/v0eq/52DkTGynX+UGFukKBd+Gd3u/aabp9mUvl19bWJLZFm5yc7L1ZeOfY2JhEG3xNwteGo90zMzMZ+CsrK72TgXdC8NAGX5O34FPrbTKfwuer9nsLPswuNM8m4ymA09PTXiq/l+AvLS1lwM/OzlpnOrUfbfIteTnVc2mqZWOqWXeWkn/Ou6ke5vL4iTRXfhIFv8eDtqBNffkZ8iDWPfdO8+HQgba55GCh9kMQfPqpFq80/8CBA9lv47j2a5cAHW3C7/agjb4krzQfWo/kqna53r68UHqj+dQs5K4mttEXt68Xms8+FZqFgIrLycUxSRG/vNB8Bm980Cj0+b4EfZzXfGp9nyHbIk3Rve6SH6K0za57pXz0oNEDaTPuoIOr0+5dn33n8Pfbjj1UCYDT4FPrbQZvqhhYdJ+C67L2Owu+L6azCHxcp/DaWG9Q1i7ecxb8EFbKUPttrDQiwGW5k+BT60P41Ur+2qeLIV8np3reTJVK51EXbro8VXXOyQMniUshWw18S4uoIV/Xgj7OaT6DI3DjgnEhJGg/nFRILgWlnNJ8aAbCogiQhAI8AHc15OuM5rNvBKNc0o42LY9rVs0ZzfcpeFNXIFwL+Tqh+dR6n4I3dQXApZmME5pPrXd5oUZdsPPPgUZnQr5lHqA+7rnuBeuCBy58cAK6rHv46P/2MXhTVzBc+c7PKvjUepcjX3UBrnrOBaG3Cr4r5q8KqC7uU/BtfudnDXwGb1z43q4LcHXqpPbbCvpYm+q5NOXJj8j7Orc9xbUy1Tt06FBQwZu6wgJvps3v/Kxovk9r2+sCq/sctd+GW7t3zWfwBo4dEBx7Ag/o9u075Nu75jO4EWrwpq4w2+BLr5pPCY/BjWsqBORNn18l9ab57Nsg4a5/b2cKXFvlEdiCRcRfH11ib5rP4E2fkt0WKH3V0zePetF8SDKkOoaQbVNB6dX/oeOJalrGtierafv7fJ6ezz7iHZ27d+nD7oOYPkHq8l19fefXudkfGRlpagmjfh5h965SpwM+37Ym64rJTertlIddmq8Qvrfrkj9ldaO7xK7eXX7n15nmq5sl0nvVRANiexY86zzoUyZ9Te7ddNNN2eYE2KAAf0w8Z971dZvvbou2rrS/E81HgGJ1dVXMzc0B9eyPmstz5l1fVwdMfCfzrt/dRv3gIb5d7CLo08lon2Y+BW8If/0cbnE4x5Ba5ydNU1v5wsLCwNyzTpp45rau+94FgLdtplY1n8EbGwsT6uuWH0/CmoK/bQZ9Wu3z+w5M+AFbO63shLdtmZH19XV59dVXD+alNPHM+R6eM+/6Ot7DxHcy9/H6NddcI8HrNlJrmo/FCGfOnBn8vh1H1Mwp/zxn3vV1vIeJ72Tu2/WlpSXxwQcftPd7fm1IEIM3Xc1H22hjKHWAx7Bc4HnTdMkmNqiJIVuaU+askufMbV3H+5nYFua+XG/zO79L3CD1hjm1PoVsDRnXoDiVran2Nwa/TTPUgB9RPUqFa9rNNgKfq05oOl00qy62iZKq8q1OO/FMk+/8Gjl5el1vxqF5yjMO0KHWZF1k7ale+t7OrhTCi9o05Ftb87ds2SKOHTuWcYBz6fySLdeuo7GutamN9txwww3i6NGjxtJYS/MRXgTwCwsLA2aSsSCGf2wNz5nbuo73M7EtzH29Pj8/n2FRJ+RbS/NTyJai4kZeGw+OPHVzbiHO8GLTESvf21U9Fyz9hbd09Y6uaSiqn7QxjG66Rb2R5rcxwnRDV8JrBUb9CPeahHyN+nyGFdNXtu4JD7FBrp1oUqpyeJW4lNhX80kzCVp9pYE45duPc3j8gJFuyFfbw0d/chOPEhue8m44QI+rbpxFC3z6knUr7Ya0VKsOB0y+89MCnxWqpoYNUa/hmMmV6y62qS0eldGmo6iX0GKLcrmpKck9nk4tcEC3i66c6qXgjfbY2ZmCmO5h6lcV9Cmd6mHvnJB+6coZdDpuCDx+DPqU7n9UZpVo8tl/syzPmftyvayP9IWGonYW0VY2OyvVfAooVo2GEBQJgQZiwoCUmqv3gFlV0gK/qpJ0308OaIOPWL36R3LVa2o835XrLrapLd7p0MZ3Dcu1wVfNi0/m06e2EiBdXuvQxjqH5drgD3s4XfObA6M6zZ+amsqKcRDBcz7ry3W015e2mrazjDbi9JGcU4dheX6qx6ldyi9sNeMDH8qmeqUePizeKHUSfESU0gXXOAAvX9EmzqXgu0ZIak+7HEgDvnb56VVtCXyv4Gq3sU6Az71m2iXN3doQdXMhOQE+Pv3atm1bFoLEAkRXmNMmQKAJtGEABlpBs/U0bIrX9zUsE8Mva46Pjw8WVk5MTMj5+flWdqDomx6+D3SBBtDCaSFoBK24ZztVruTpu4HYecJnQSgDHLS5lJwDX2WOL4LgE+Aqf50GX22oa4LgK+AqT70BX220LUHAe/N9OPpzdFO451vyEnyVycMA4aCqDUBQh89jEJVX+WPvwVcJassUhwy4yq+gwFcJMxWEWABXeRRFYAcOFjhVsHvF4cOHM9/K+Pi4uP3227PjV199VRw5ciQ7npiYELt27RI7duwQ3PTAujOmqwaokhDD8QsvvCDvuOMOecUVVwwcLzjGNdyLKUWh+ViTAK2H9qsafvfdd2c69fzzz19mEaD10H64YoNOoUr64uKixDdrqssYH5xiCxOMB/KJYwTuKAp3LGcNqCvEFNSAj4BjgwL60gm47oYFABllISTq18moE8IUkiB4D35bgBdpdsiC4CX4XQMeiyB4A74twEMWBKfBdw3w0ATBKfDRv+YBx0CrzqCtCKiur/s0RnACfHxYEOLIepgwYxYCWss+puhaQFm/E+BD20OcSpHJzFWrhmPbKQoPXzteutPiJ09+SvzSo78nHl99TDw45sTa10ak+U9BI/LjfjiBHzH+noL/M/HDPxoTI3d9Tfzl858XM5sv7hoy9YiYfe2o2HhrXnx957UXdhLZPCM+/6MT4twA5A/E8R/tvXQfO45MPSIeevFtcTIrc06c/offFJtH7hJT+3ZfrPszYur7pwc1DA7ef1F8Z+e14uf+8HHxV8f+b3DZmwPbg4567/+p/MHuj0shNsnrv/x3cun0eSnPH5Yv7d6U+fRHH/gz+czR/5VSHperT9wiR0e/KOf+A+dn5Xuv7ZS/PvqA3PnqcXk2e/n78tj3Pie3i9+R972G36g9Kze+f6fcJIQcfeCAfOn0eXn+yCvyldPvyx9/60YpNu2Rj586L+V7L8hv33/NoEw9Ouw+5cRo35wFF8EnEFkFBO0++eDq/wyqPL/6oPwt8Wm5/XsnpZQXnhv9yg/k8UEJKeX5l+R3pq6Um55alWcH4PMZFty4BP67/+Q98KBKa2cOb8xYZUNvFL/xzQ1xVpwQq3//mHjyzXPik5/8T/H2wtPiG/94vdi0s7ICIcQR8ZOv3Sv2//XnxIOrvy/u/HlPe04hhL8tB06/+gviZiPmnxPvvzUrZjZvFjf/7iti+RO/KN5991fE1ie+K56+86Q4+e/Hxckqlpx4Rux/616x+/4XxVPfeFG8+aGOwLhZJi7N/3BZ/O2XnhDP/Paz4vC37xW3UPQ3nhCPvHVOiE9pgLRpj3j80GPiCyek+Leb5sQDn/20+Nf7xoWPjCT5GlQHUOS9H4u3l4W4/tduFjcrlH/43n+J/zYk72O/vEd89aunxJuzT4qnNvxUf4UFhtT7WHzsLvHZ2avFiWf+Rjx1cWr24bEDYt9Xvin+4oQpQVvEZ770J+LrW/9U7P3zf7k4TTStw275uMAXN4rtX/6WeHriSfHQliszP8CVe06K9fufFc/u/rg5EtfeLf7g4VvE6J4/Fg/98ynz5y0/kXz7lgGw+frINN8mq917dwLfPUx6a9H/A/cQGbsiJgMiAAAAAElFTkSuQmCC" alt></p>
<p style="text-align: left;">10.0 cm<sup>3</sup> of 2.00 mol dm<sup>-3</sup> hydrochloric acid was added to a 50.0 cm<sup>3</sup> solution of sodium thiosulfate at temperature, T1. Students measured the time taken for the mark to be no longer visible to the naked eye. The experiment was repeated at different concentrations of sodium thiosulfate.</p>
<p style="text-align: left;"><img 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BH58BAktJIa6FCN8m9t368rBmP8X1ORGnUIO3J3qrzt8IbhTqSNHoTu9jEifxEmbjyuMO695Zc8ubQtPj7UmEkCIWDaivVj1mH97RtxvORu/H7Rkxj5XnO5yzShvnQWpj6yCvmB1K0N56Hh24Y7h1ULYQL6QfjznKflzVzKZnYZhMG3yhvZ9g/viQ46HcKi52HVyQirQSut8T1d8xEWp67D+gcLccpcgDVhC5A1rxAlUBrUB3Bw+hBcHSa5VOqALnG2pRPGcXhq7O+hL/wr7pn+a8TkVcNcKg2YzyD94wp5De3gV7DcukFOClgxFsMv6yjPIoddjevTilAkGRVPr8MnmYMRiWp89XYmpuwYi5nHiuW6TNroFETCfdOZAeFXxeN265KKbGRZ5Yej+9D/4NyN0hIG+xrfCPR54EV5E1HRXGTFSutMpXTSph/3P9VNdO7JeMVXAl3vxl+fkzZKHsDBx/vjEqsuTsS8nSYYRj2JGTdKq2TPNUYm9BQZzzEDqXRnpohq6Cmvan0VuqFYgxwWLdcPCRnIfmKQ7M5PNX/zXhS4FDHXx1i/o6a192KA9L0LG4DkXTFIkPTc8dDnR7n63yMlTdoMK+8H2KwV+EaVbdvi40ergyypPWqkuns858bIIZClSJiNbhgbU1gqNmDtpCib20BpMqJx0sHhZk8RqVGKDnrBwsvx5BGBhjV3olvdz/gvfoPIC3/dKNSHIy3Zv523AUsHleHXt/SRJ1N8kBUsSYLT8PUlhKevfiJbu6fsPiWVvihbuw6a5TH0pSaaFrihj87AC6/aZmjt8iWD+KXVWOPYmJaChGWb8E3hk7hV8gbxTgHexd14uVKgYf4t6HrmJP6f8q2/fhDueWMPdr09HhnWXed2wVIwineQvW0h5sdehIhbC1ApvsAnKRfiTI00YCr/pA1yX+LwgRXYkBWrGPRsyy82F6JkQQrirKNHJAZOPQlR+Rpm/eZba10M0Rc6r0O2B5dAow9hqe0vbnyqsY4JmZiwaxNyJ0krnhW+eMNHYMp7q/HK/dLDgDRDPBqpH+1GgdvSj8ZZ5BYLkqFE1C6OJT34GNu3pDX2ky2oybbsUfImL1856G/AbVkPNnrjuCwMONvEV7LhI5CxdRs+XpfaKBfS0pk8fPKPiUiVNo610p8FndH9L2/gQ2uAF6lQ6buyDjnvZ+OJWzoCVfnI3eN5W6p7VQ0IHzxf3gzrKfCNFts2xMe9befzSkcYh38pB4Rp8nId2wZcr+vH5b0bT47RCHtcvwGv3D8aDy22boWUPa4sGouRMz+yLjeTg/E0BquxLzdyBHKpnI30GzagyHgz7r7R6HXtuJK+luz/TB2FafUb8NwdcfKaeWWmYD9WOnPT8nmmTNMmjhtyxIJeCr+Fdj+Lyk9f/US2doMcfhftfjZbuwIeynNw9eDD1UP283Wrzehta/eteZ8omGIUgMKXqJ+dYC5fLKbGGwQ0/Jr6Ls7un1TN13CDqMlPsvrsNWQUikrfhWqkbPRN2+jH94gonBKhwqJt+uxsMzqrQdi/y3L/dgyob5uS179aMnXTCISWzjaNhSO3zUe5x3HNfEDsXZZg88ks2y2N45YkqXF8hN3/dN16MV8al/0Z280FYk2SQSBljfjE7sbcUdHAD2Tf1r1EbM73gQs5Tzm1dLb1Holb5AnB5hPSGqLT5WnIGi62RQptmtCQDCnaNCShl3slsrp38D06VSAALPtRmHkbkl/5DWKXv4GclIv9liKt13z2/imY991opBU8gzSPfk29ib8W975zEmUrfsH+4RmY6BQVy4CIGx/CU/EG64z1Zp+ivXkrz+V+TR7y1tcCKWmYmSyzkF/hXYCo+75ySczTZiVQn4+cFfsRM6iX/0sLmpK3WRtBYSTgPwF5eZURkVdGaeh+Nb6YnygvEUtIxxT7myunouyRLRUu7sKH4a4HpTXsjX6inbLYT2qW4ZkoHTpkbkeN69s/e5q6IuQvTbRFLJSWvknLKF7HshKVSID2PCH+GeSGr7feMaF+z0hbhys2Y9RvwAJbqMhL5u1BNZRrzVbjY0dYT2njkGsIT2kJoosiJT6D9K2HFM7SPYSldFvq0NIhRZVr8Nbj889n4WX7RqSoMRj5eZW8acJb6EtvqHm/FQmU44t5w2xG73oUPdZPY9D1UCXrqzW70bsQ2Vb/rh7Sa96yeZKImo5lNQ2odVp3ochk92QR0CtfhRyVQz3sniauQ8KUO5EQ4qOaCoLzeOk0Kj5agKXXbsT6e3v49YpV2qgYeN7z2GQWTQJWArU4siMP+YjH3UN6auq+OBOH1Ld340DhXNw/QM0LTg1+/kFar6Z029gRXS6S/JYD50q+xxEt4l3HYGLuWIx8JwkXdhmJ6Ze/jMWL7lWMgeX4YukoDJVcWTpkSHs3HkH6E2uRq7Vu3JE2RA+UM9Ba08LKNG3i2K9X8idE8ZxoOUSk9RXAL6JsRS/53P5aQShehyqXSziOFSEjNcNSXi1il+8XJ62A7K99lcsx1MJSSvFGG1/bSvyd/5sjpKi3ttnCyDpe0yvq0FaXi7goYdDorUu9Az51hABW9JVf4XgVr9YcOhf4qyxz+RviFXsoV+NokfrRIdv3IOAWhnzGdqezId+jod9A6qxrH9uWV/m8TKzxt955qYPdXlAuMVT8bvs1trvU0WErKZbDOZZRGIVxValwjXruIiGoT7V0NsjnRmw7hF12OuqcfM5FywEDpI0++cvw3NJX8HLWd3KYy+xxKhsgpBCR5WiQIvCUv2HbVLMFmzd+hSpYUFs4DU+8dRqGUevk0JWOEKoHcPCFDch1fY2rGZZS5UnKEXqzpUKKpiBhQ6k1DK4jPCy+QtE31YBm6EuVevLS+SXQNc26uc2+wcH66dcmDYNtc5tyedARlKReFlC79N3HYvKGenmzSOWbyBkW4/8MdEAlMxMJkAAJnCcCtuVVbXozrb4nrvgfaWPwlygamoi4F97CrL+V4dy842gQlah8pK/mTPV5otoqxQa54esjo/BUPP43yTfpl9g5aQbWVl2N/ouft4VAdZExejwW3yqHiNR3fxAPj7tBdlFjdfp/Boe/3G8NQWl6eyySI8KcXUW5vcZVrNlxC0vpUq7kSKpFQoqGNRaUch9mDu9rNUr00XfiDmm3Mf9IgARIgARIIIQJSK6/vP3723zv63v9lXgCJd83+mv3N7dqeicvQQdwcOYYZGVl4bn47uig4nNdVUYIXgxyw1drc5vr7JUB4YMewqgkmzdzDy4/Osb9Dr0dHa0If2m9Vo3jB1Qc5zvSn8LJml8cZ4BvYSntGVoqpKhdPi69EJGOHr8MPa6OcNziAQmQAAmQAAmEIgGnt2Nqm+GFtMrQnz/7+l7XkNn+yLCn7YqLLpUmoZQRKs+h7md585mzTWLP4/unvvsIjHu1EkJU4uDGF/HaaxmYJ22yk3yju/hc911qcKd0mEHB3QxvtT+Nig+mYUahLU5rVTbm2PzjueY8V7gfuxzuJRXhL60JO9sUFOj4cjHOun2BXA1uT2EpXUv299zXkKJmfwUzPQmQAAmQAAmQgCYBW6Q+oy9h2zWF2G7YI25WoWr9v2ANVFK/BR++cxzAdbjxmp4I9N2spXwWHoqSZruHInmbBVfeMwPp6TPx4N1K/+ze6hd699uB4Ss5jp6O6ZOKUSU5X3/+aauzc9PamRilFgYy/31k5cgeGiwV7+D1tbutSxukMK/xhosdIWHPvbock61hMqUQqsNkzxHWne0Oq7mFtaWNhxRt4dZTfDsiYClRhFceisT3lB5U2hEHNpUESKBtELC7T7x1IG5ukhtIqTmN7h5RNBnDu4RB12UkMneagIQHkHaTFCExsD999MN4/Akp7Hs+ClOirZFApeiX0ffJ9lD/h5MQ3w6sQFd6Qd5krc1t0hPOY5hVaQLqc7F8/DK8VWVE5NzXUZQ1Gy9Zo2UdwP7h6Ri555QLk3wUjbjKFp7zr5jy3mnAmI5nJ8TDCD0ibpyMF6TXBI4wmfYQqpJRPQKpTf4SuFTH06lPIUU9CXC5pxr60iUNT0mglQmYirPw4HQ9InNKcXDFdyga8TxmOfkJbuUKsTgSIIF2TcC+vtcYH4uY5iAhRajcsB45jkiZtsh/b6erbMD3p8BoDJy+F6VO0RcBJGQibUsuClL9dUHoT9ltN22QG77ewP6ML5Zk2p6c7LHbO6L7X7Lx2mhpp+MW5E59A7n1ukZBo9/F5583hlI1jHoFiwvmYFb0r+Q04Xfg4VUfIW9JAhLsuaxhVD8IzJ+qXUZAn80YUlQqXyv0ZUB1YyZ/CVgOpWOoLgpRqw/JvpX9FdDk9Eqfz5tQ4pM8pR/qL6CMnuxTdkeiRjnOm1ASMRJrcUR8g32p4Tgt+Qk2XoLIVgxH66hiEBzIQTt0jcFT3PyGB0EjzlsVa3F4ZW/odMOR3iYfrGw+s3WJGL6n/rxRCv6CBRrONVh9QQbaFn3fbOT57RXBFt5dCDhCDSsqoI9ORerzJai0LqGsxMmFY5BqtzsU6fw/NKLvHdmY/2mD7HlHkv/Jy8i+Q97o7r+8EMihdNKm5fNMmSY0j5vJZ15owmnzrQoNvbXroMLfYquTt9cBAj77jtTyTdnclW+sm2HcRrGvGUNyNndNfZHXUjorhxeFgN0Ht8M/dxsMke4LqFZNY/On6rNf1kAqd9LqV97/8K+VonRZf2vYb0Dp7zWQOgSWp6V0NrDaBJjrv4fEV2/eLq6c/4U4G6AIZgseAlo6G+IzviHwZMImtBMC5SjdewQwpiB1cOBrukIXVkcYh38Jc2kabln7BG5bc75mxYOMMEOk+95hNbuxd/s5tDW/rJaKDVg76TpclSa70vS9QUzpTOD/4eslt+DaMf/C9357cXCWxLPgJkDDN7j7j7UPFQKWYzj29RmgX2/EdlH7WjYuBbhg/jYccITVluKub0RRnbSJc1FjOGq3UNsm1JesxHsvxCHK7tPSLdS2N5guZUSNwfAtR6GM+B6GptbTtQ4m1G5LRpROCjl+EmdqfsZ/XZO01/O6IuQ5+rMf4l74Fw7V2DzX2JmoLXVwDbmuk3TodSwrUfakJKAKZQ49k/2gdhi9ALM+r7QtxVEujfEU6t3XdLZKu9ZPVU99r9sFL+Xi46ejZD+uQ9eiSGP/sX3dZuSVURoBWKTv0DKsnmSTZf0eDUXi0nwU1WkItfdDoJ+mXCy8eSQeWgxEpqdbN2ZrizoP9dOuTBu8Y4GpoaEN1otVanUCyklrrWlhZRoek0BbIxAKemsuTRMp8BRCsnFJgdRe539voa0bRF3JBDHa6JpPOjeKyLm7bSGGG5cTqC11MJ+YKcapypDlSmE4G5oUgltDs8wHxK6XYm2vea8WsVlbxSe1wb3Wock6qxk63dbHmksdFCHcXfXIEcJd6od6Uf7+IBtzF70xpouZJ84J4XOod4VeuZZpPfc3JHzgdTNkFIpKVTWrsYWyt4VwV0vjCPXqwsPpO6SWUXnNz6UODTli9rUzxczPKoTZEX5WY6lDs9RPWVfn4ybrrLO4Vj5TGz81OLZyzVhcyxHQ0lm1qaVWN75ZIAm0bwIm1J8owze+BjzxN7S1ZQdyJkieTaAItV2Pirw7kIAqVE97Eelu3k1ce+Q7FL26CGurpB3Bs5Bdfg5C1KNi51jtWSh/6+lapP1cH4cbptk3fXyDkudvR4LqrLg9Q6h/mhyh0wG1EOse2m/ahaK15Vb/oAl51fJml7r1mC+FdC9agIkbDsuzuZbdyFv1f6jCMKTu/tmazhHmvKoEBytc593V6mEP9a6IHqlaX3s6H0PC+103exvOojJDjsTpTsjul7U34oy2jcwuiUwlm7FScjFlnIbsU2YIKVz97hG279ArGp5GvsLGBy9QRA27BIOeLcfB4b9TXNPhgvkaG0MNqXj2y1mYdVMUvP1YB1Y/l0aG7GkYfn1xb9zWTw5ipbv2Dlx13eWI/rU3qiELpH03TGlra1nHyjQ8JoG2RiD49faIKMWEwJAAACAASURBVJwSIeBxU03jjIVy1sqxmUmZ12VmSJ5NlmapXGezbOUCQpqtPaucwXPd3GYuEGuSDALoJZw35jjLUM74+lvPtqZXLVmfpumsfXbSdRNig6jJT5JnabVmfJ1miqXZ8zfFzJkzxYs7K0SDWoPNB8RnS2aKNWvGi4x4qf8lPbJvwFTM5Drpi2s9GkTl+9fKeT2mqxPFcyNd3mYoZ1ft5doq6mvdUtaIT7y9IDiVLTKNEEqddcXh9MbDOFqkrntbzJy5TuRYZ79dU2ud+znjqxTj8r1W3pKOm6d+rlIbz5ums41yzt9R4xgqj3fnryYsuXUIaOmsLYZv+zb+2XoSOK8EvK7vda6df6GtAUtNNb6TRPS6Hgm9L1AIi0DExXJMoHMl3+MIroHmtjrLT/jpmLR+9EJc0vXXqjIUF62H/tbTNT/PtQicQ+3Pcuh0w28vVPSZa4h1lfz6QfjzS6ux5qIpeGjxARycOQZZUrKsLDyXMA0zlz2DWVd1ta7vPbT8NtyiuqHKPSKlc1hV7Xp4TudrSPgq+FM3w4CeiPEysed9fS+gj87Aixtr8ZvMpViw8y3kjn1LBpw1DZFPLUVO1t3n9U1EW6+fijbyEgmcFwJehoPzUicWSgLtioDl8Ca8X2hCx6T+uLEFvpH6rpHoJRH9bi+KjpxVsK1F7Y+y513ZIPEQ3toR3KQSZcd/VPgZbpShEMzDFiXQEREXRVhLMO07hjLHvirXEOvqldB3H4Fxr1ZCiEoc3PgiXnstA/OkoDxFc5E1aaN185fl0GxMtBq9KUhY8g5e3FkBc0MOFlgVyV2u51Dvjek9p/MtJLy/dVN9AGusEoBaHNmRh3zEIL5/NLRngzoj6saFsj/U2k+weeZMvL0uFaONVahe9CRGvmdbJuIkuzVP2nr9WpMFyyIBbQIt8DOrXRjvkAAJuBKwr+9tWkx2V6nKc32fe3BfkvRznotVL72PQusOdCnU9gS8+Io0czgMd97c23M8eP0gxKf2sM4EVq1/H6usazxPo/Kz2XhzvTz7qCyTxy1JIAK9bx6KFKmI/Pcxu7DC+iCiDLGuVbqlfBYeipI8NAxF8jYLrrxnBtLTZ+LBu2NhdGSy2NacAzBeiZvvTsWM/+mKH7avwxbrqwNHwsYDj6HeG5NJ9W1aSPgG/+umKF790L6+90Yk9O2kngSnUZFzvewRJTELy2pvwp9nzcKDozJw161SMKTz/dfW63e++bB8EmgkQMO3kQWPSOA8EDiOL/KkuOkDcfPVF7ZM+fqbMXxOqjXSoOntsUiOCIMUr7370K0oghTK+zlkD/ZWdgR6D3sQ4yTrqGgW0qM7yjLi11k3zbVMxSlVi4C+z1iMt0afzEdhSjQ66HQIi7aFWNfKJAVnjH4Yjz8RLVnMjnySLkTfJ+ng1ej/cBLi9XqEXxWP26W+rspG1mW2vh76H5y7UVoaU4fqGuWbA6lAT6HelW8SPKXzJSR8hwDq5gGIdKsmD3nSw9utA3GzZsj5zuh+x1N4yroJ0K7/OujCrse9b0lh7e/Bo7df4WG22F6HSAycfgIlqZfZLzTTZ3PVr5mq08bF/PfoD/i+jdeR1Ws5AjR8W44tJZOAdwL29b0p1yPhUu2XrN4FeUphQPjgt/DPAyuwwREL3h6vfTtKpg7W8FvqLFMfPQOLCxbKr8WlW9ZQ3btRMDfSOSHPWp6AfhDuee0jfOzoz6sRm7UV3+TdLS9r0axBNAZO34vSLWnIkIw4+19CJtK25KIgtYfVeJPXizaGbkdCJibs2oTcSXEAvsTOAimYgsJbg7dQ7/ZyvKXzISS833Wzl63xaV/fa4yPRYxGGuvl8BHI2LrNOVy99OD41Gpkb1OEtXeS4erVQfaH7ByW24NXBydZXk4Cqp8XmSF1+9fo9tvfWFsk3p2FW/74F9yV95+QaiEb4xsBnbS3zp5U+jIqTu2X+UkCbZoA9bZNdw8rp0IgNHRWCkxxE6Lu+woYvREH3rwHklns/udrOvecvNJ2CISCzoqKBZg8bDpe3Sdt1O2La/9egC/v6t52ILMmzUpAS2cVj/zNWh6FkQAJkAAJkAAJkECbIaDrnoFFX4xFRtlJ/HzR79A7qkubqRsr0noEaPi2HmuWRAIkQAIkQAIkcD4JGCIRFReJqPNZB5Z9XglwqcN5xc/Cm4OA1uuM5pBNGSTQEgSosy1BlTJbkgB1tiXpUnZLENDSWW5uawnalEkCJEACJEACJEACJNDmCNDwbXNdwgqRAAmQAAmQAAmQAAm0BAEavi1BlTJJgARIgARIgARIgATaHAEavm2uS1ghEiABEiABEiABEiCBliBAw7clqFImCZAACZAACZAACZBAmyNAw7fNdQkrRAIkQAIkQAIkQAIk0BIEaPi2BFXKJAESIAESIAESIAESaHME3Pz4trkaskIkQAIkQAIkQAIkQAIkEAABIYRTLrfIba4JnFLzhATaIAEtJ9VtsKqsEglYCVBnqQjBRoA6G2w9xvpq6SyXOlA3SIAESIAESIAESIAE2gUBGr7topvZSBIgARIgARIgARIgARq+1AESIAESIAESIAESIIF2QYCGb7voZjaSBEiABEiABEiABEiAhi91gARIgARIgARIgARIoF0QoOHbWt1cvwHzYn6DxPwfW6tEltMOCVgqNmDtpChIu1mt/4nPIP3t3Six+ArDhPo9IzGkwzQsq3HJZCnE2uQOjbLtZeiGI/3QWVsBp1G5azIyh9jTReGSySsw+7NKmHytAtORgFcCJtSXLMNqpa5HjcHwLWWodspbhbKPRmJMlO37oJrGKQNPSKDpBCzF2DQmHB0yt6PKSVqA+ujT2OtUEE88EKDh6wFOs92q34o106bjn4cvbzaRFEQCbgQsxfj71McwVT8XOSfOQYh6VMw+ibpxj+KJAl8euCRjYjpmTd6CnZE6N/GoK8OhHXcirfQXSG4PG/9zkN33Amt6S/kCPPeH/Sge+SkOmAWEeRv+EbkUWQlLscrVkHYvgVdIwCcClvLZmHjNYrz62xxZzyRdz9Xjgj/fieTc47aHrNOoyLkLV7/cA5cXnoIQDagrvBw95wxA3Lw9LgayT8UyEQn4QOA0Kj5IxxNvnXZJ2wR99GHsdSmMpx4I0PD1AKfpt+TZr/GDD+CqB4YivOkCKYEENAlYDq/DyneGIvXR+5Aa/SsAnRH1P4sx47Uz2Fmw32XmwUWMpQTFy2/D4I23477RkS43pVMTavduwiL0QZxRkq32V4sjW97B2ltGYub4GxAnjS76ONzwzBIsv2YVcvf8pJaJ10jATwI2PYu8F+lpN8l65tB1M/ZPXCk/ZNW8icUPnEX8c1Mw66quAAwIv2oyHh4TjeolHyKXD2J+cmdy7wRMqD84Hc+MNqPX9S5hEgLWR1/GXu81Y4pGAjR8G1k0+5HlUCaG3tUZA/In4YYLw5pdPgWSQCMBE+pPlGG7oZeLYdoJl17RE1i0DZs1f+hrUbb6Xgw7momcGTdCMhHc/87gh6PHYLrlSsR20Ro2qlH+bTUMA3oiRplE3xNX3Gzybny7F8orJKBCIAJ9xh+BqHwJaV2VimZLWnUEJVX/BbqmYX7DfnyScrGKDF4igRYgUJ+L7JHr8M0bz2N0Fxf5AeujL2OvS1k89UhAZdTwmJ43/SCgj5qA977LQlp3rRkyP4QxKQl4JGAbHNWWKACINH0nGwOqMjohKj4PJQtSEKf/r2oKwGbU/vZ7fP5AuG2dbz/EvZCL3HJbHssxHPv6jEZ+wLTvGMpclg1rJuYNEgiUQMptSO0jL71xFnEalZ9NxOwnwtB/8Xg8qmY0O2fgGQn4QaAcXyzJxIzr3sCHqeHwPtXlqz76MPb6UUsmBWj4tqQWRMQgTnN2rCULpuz2R0AeHANrtwFd4npAbYGDQ57lGP791Tlc9NubcNe79bb1vfnY1Gcl0q9djNx6C6Q1wGUHuYXNwYwHrUrAUr4QL0tG7cNJiHf5ZbMcSsdQXTi6x6/DhhETMPUmI1xeRLdqXVlYqBGQNgVn4o5XJ2D94j+jp4v+ubbWL330Zex1LYDnHgl46R6PeXmTBEigvRDQJ+Gh7Wdx0jorbG+0ETG334OxP0/HxA2HwclcOxd+tjqB+q1Ym7EI/5y0FOvv7eFm1Or7ZiNP2pBp3oePL5mDkYMmY5b9TUWrV5YFhhoB62bL+J+R8M9HkBru3azySx99GHs53eCfRnnvIf/kMTUJkMB5IRCJ6Cs9ztm2TK26xKDvzUD1t5Wo6xKDmFjOo7UMaErVJFC/Fa8/MhyPd1iCDc8n2za7aaTW90fSczOQUb0Sq/51lC72NDDxsh8EJG860xbhny/OQvbgC/3IKG3+bYI+KsZeZxd+/lWhPaam4dsee51tDkEC8iY2Q7VQbVu126Y31WRNumjW90TPazppynDb9KaZkjdIwDcClop1WGg1erPxcfYoJPm4tEwXabI+rNFg8I0zU2kTkL3p1KJ62g24xO7bPCwZDxWaYFqQhCgnP+fqcqiP6lxa6ioN35YiS7kk0KoEDAi/LAa3uG1ia54dwfKatIHuAVis/iWvQnxyf3SDPOvstonNtkYt8sooz+uIW5UXCwtuAqdRmT8MSdHTMc/4JrapGL2aOgtAVPez6qwxuCGw9m2AgGPZgtK3ubkAa5IMMGQUolLIfs4D1UfNfIqxl3rspyIIxZ80HvCvZQiYS9NECq4TCXnVLVNAO5ZKvbV1vnmv2Di6szCMWicKas1CiHpRsXOsGGXo54fe1YiyFb0EjNNE9ilJhv3vhCieE62QLV2vFKXL+ouOYz8Q+2xJzSdminGGPiJ2+X5xUkpiPiB2vRQrDIapLvLsctvnJ3W2Kf3eIOp2jxAJgDCM2+jQPXeJKjpr3icKphhd9Ng9J6+4E6DOujPRvGIuEGuSDMKQUSgqHYkC1UeVfCpjr6MYHjgIaOksZ3z9fFBgchJoswT0v0dK5nws6zYNyRFh0Em72FMtOPvGaryWbPdlWovDK3tDp1OZvfXYsGgMnPoxdqZswVsxkmwpBOxYPG5agI+X3I3+tpFEHz0eGR8mY9i718qv/cKuxpDSsXh2x5N0H+WRL2/6TMCyAznP5qJICquy9l4MCLOFI7a/ZnbotorOhmVgdo91qjPEPpfPhCQQEAHf9FGe4dUpwh2r5FMZewOqUjvNpJNMY3vbpR8zxan9Mj9JoE0ToN626e5h5VQIUGdVoPBSmyZAnW3T3cPKqRDQ0lnO+KrA4iUSIAESIAESIAESIIHQI0DDN/T6lC0iARIgARIgARIgARJQIUDDVwUKL5EACZAACZAACZAACYQeARq+odenbBEJkAAJkAAJkAAJkIAKARq+KlB4iQRIgARIgARIgARIIPQIuHl1CL0mskUkQAIkQAIkQAIkQALtkYCrtzKDKwTXBK73eU4CbY2AlsuStlZP1ocE7ASos3YS/AwWAtTZYOkp1tNOQEtnudTBToifJEACJEACJEACJEACIU2Ahm9Idy8bRwIkQAIkQAIkQAIkYCdAw9dOgp8kQAIkQAIkQAIkQAIhTYCGb0h3LxtHAiRAAiRAAiRAAiRgJ0DD106CnyRAAiRAAiRAAiRAAiFNgIZvS3ZvXRHylyYiUaeDtLtQp+uHuBf+haI6S0uWStntmIClYgPWToqy6ZsOusRnkP72bpT4rHIm1O8ZiSEdpmFZjUsmn/T5NCp3TUbmkA62OkThkskrMPuzSpjacb+w6c1NwIT6kmVYrdT1qDEYvqUM1daiTKjdlowox9hrH4MbPztkbkdVc1eL8tovgboi5L0Q59C5DqMXYsnBGhuPJuqjpQTFy5W2xFAkLt2M3PL/tl/eTWg5Dd8mwPOY1VKMTU/8EcOK/4JHy89BchNnLp+Ch0pTceukv2O/i03hURZvkoAvBCzF+PvUxzBVPxc5JySdq0fF7JOoG/conij40QcJkjExHbMmb8HOSJ1zeh/12VK+AM/9YT+KR36KA2YBYd6Gf0QuRVbCUqxyNaSdS+AZCfhMwFI+GxOvWYxXf5sj65mk67l6XPDnO5GcexwmGBBxawEqhbCOvdL4K/+fQPGcaCBhIdY/nwCjzyUyIQl4ICCNj2l3YdSpF7C+1gwhKnHgjq3YHPcAhu85BTRJH0+j4oO/4qb1g9B/VwUarLbECPzp81EYuWQnH948dIvmLaH4A6SxgX/NQcBcmiZScJ1IyKt2Eqd13SkRT/wiQL2Vccm6lSrSSn9R8KsRZSt6CUNGoahUXHU7NB8Qe5clidis7WLvil4Cxmki+5TZkUxLb52vy2UhZY34pDGrEOYCsXpgN7fvgkN4Ozygzjal02165qKjQmhdt5fVIOp2jxAJGCZSd/9sv8hPHwlQZ7VANYia/CRhMEx1GjOlcW9NksHD2OujPpoLxOuJHYVxValoUFRBGnuTXMtU3OehEFo66xbAQtNC5g2/COj7ZiNPwq76V4my4z/ChIvBDlAFxIt+EzCh/kQZthsG4S7jrxS5O+HSK3oCT2zD5mcTkNZV7SVPLcpW34thR5fgk5dvRIfViuy2Q1/02YIOKP+2GoYBPRGjLEbfE1fcbMLOgv2oSrmFs2zueHnFLwIR6DP+CMR4jUxVR1BS9V+g6wXOCepzsfzpXOzMyMP3gy90vsczEgiYgPx2oaHBTwG+6mNdGco+7YOYqc72gt4Yh2uxArl7piAt5WI/C2/fyZU/T+2bRKu2Ph53D+lJo7dVmYd6YWfww9FjMLkuUbA1O9L0nWwMqGLohKj4PJQsSEGcPpA1Y7I+6y3HcOzrM6olSBdN+46hjEt8NPnwRjMRSLkNqX1cjF6cRsXWRZi++xE8OyGeD1/NhJpiNAhYSrD75QkYv0NL33zXR0tVCfaZlJMZyjJLbZNoyms89kaAhq83Qs15X1qDOfdNbB93P8a7DczNWRBltT8C1dbZ1sDabUCXuB6I9Dezqz5LMxMHuYXNX4xM3zwELOUL8fITYej/cBLiXX/ZLLuRt+r/gKf+gvHRWkZE89SDUtozgVocXtkburCrceN0Pfq8MBKpUSr65rM+ym/yvmnPSFug7a7DQwsUQZEygSocWvkw7jv6NBa/8Ef0J3kqRlAToD4HdfeFWuXrt2JtxiL8c9JSrL+3h9vbNMvhTXi/cCjuvvdazvaGWt+3qfbYluFYN6A9gju3JuKaRza5bWanPp7fTqP51Sr8q3Bo+W3oN2EgHl35FNK6qzwBtko9WEjoEohE9JV+z9kGiENDn7vEICaWq9YDhMpsgRKo34rXHxmOxzsswYbnkxHn9qtWiyM78pCfcg/SBnFtb6CYmc8/AvruaZj2/M2IXPseVh4+q8jsjz4aEH5ZDPopcvOw6QTchoimi6QEJwLSWp+5ybLRu28hsmO7Ot3mCQk0DwF5E5uhWn1HZbWhF+KcNr0FWKonfdb3RM9rOmkKdtv0ppmSN0jANwKWinVYaDV6s/Fx9igkdVH5SbMUY2fucfdNl74VwVQk0EQCR3Hw+/pGGX7qo7SJbYBBa+/FVYjp4bzprbEgHmkRUBkltJLyur8ELBVLMO3ma3Bj/l14dj+NXn/5Mb0/BOSZgVvcNrHZNr3dciVi1YwCP4rwrs/yrLPbJjbLMfz7q3OIvDLK/3XEftSPSdsTgdOozB+GpOjpmGd8E9u0jF4A8mvlAYhP7s9lDu1JRVqtrbZ1vVHT3YP+AKg23IrUwd0ctfFbH6U3aUMOu21ikze99UXs78IdsnngIwGlrzctn2fKNDz2kUDdejE/3iBgTBczT5zzMROTBUKAemujZt4rNo7uLAyj1omCWsmRbr2o2DlWjDL088OHroYvVB/12Xxiphhn6CNil+8XJ6VqmQ+IXS/Fuvu4DKSjQygPdbYpnWn3fwphGLdR7FP6jHYTK/tYNcLVv7VbQl7wQoA66wFQ3Xoxb0BE47gnDX3li0WmyzUhAtHHelH+/iBhMIwTaSWnrJUwl78hXrm/swcfwR7q2o5uaeksZ3x9fEDwL1ktDr/7HDJ3moCqbGRd1rExhKwthCbDZfpHlKl9IKD/PVIy52NZt2lIjgiDTheO7qkWnH1jNV5Ltvt5tM1O6AYiMd+XaG5Sub7rsz56PDI+TMawd6/FJZKuh12NIaVj8eyOJ/Goqg9hH9rFJCSgJGDZgZxnc1Ekuchbey8GhDWGIZZDw/uj20rBPCaBAAmEj0DGR69j1sn7McD2Gx/2YAXqX9qDosf6+fWmy3IoHUN1OjTaCJ3R/fb52LLwKA7GXWi1JcKiX8Gaq97AerrmC6jDdJLxb88pDRqKU/tlfpJAmyZAvW3T3cPKqRCgzqpA4aU2TYA626a7h5VTIaCls5zxVYHFSyRAAiRAAiRAAiRAAqFHgIZv6PUpW0QCJEACJEACJEACJKBCgIavChReIgESIAESIAESIAESCD0CNHxDr0/ZIhIgARIgARIgARIgARUCbpvbVNLwEgmQAAmQAAmQAAmQAAkEHQFXpw1u8UVdEwRdC1nhdkdAa+dmuwPBBgcNAeps0HQVK2ojQJ2lKgQbAS2d5VKHYOtJ1pcESIAESIAESIAESCAgAjR8A8LGTCRAAiRAAiRAAiRAAsFGgIZvsPUY60sCJEACJEACJEACJBAQARq+AWFjJhIgARIgARIgARIggWAjQMM32HqM9SUBEiABEiABEiABEgiIAA3fgLD5mqkKZR+NxJgoHaTdhbqoMRi+pQzVvmZnOhLwk4ClYgPWToqS9U3SucRnkP72bpRYPAvyLV8VDm1NR+aQDh70+TQqd01uTKOLwiWTV2D2Z5Uwea4C75KAfwTqipD3QhyiJD3X6dBh9EIsOVjjJsNZtyV9fBO55f91S8cLJBA4ARPqS5ZhtXLsdfq9N6F2W7JDV632gE1v7ccdMrejSrMCruPqUCQu9z6ua4pr5zdo+LaYApxGRc5duPrlHri88BSEaEBd4eXoOWcA4ubtofHbYtzbsWBLMf4+9TFM1c9FzolzEKIeFbNPom7co3ii4EdtMD7lk/W539wIdFr1IyS3h6J8CsYXJjvps6V8AZ77w34Uj/wUB8wCwrwN/4hciqyEpVhV48X61q4h75CAMwFLMTal3YVRp17A+lozhKjEgTu2YnPcAxi+55QjraV8Fh7qlY8vHy2Vdbb2bSyzTMPwh95BEdXRwYkHTSNgKZ+Nidcsxqu/zZHHPWnszdXjgj/fieTc4zDBgIhbC1ApjZtO/ydQPCcaSFiI9c8nwKhaDRPq9zyC+/5wFp02nJbzm2fjyc+HInE+bQlVZN4uCsUfIDHlX7MQOJUtMgz9REJetUJcjShb0UvAOE1knzIrrvOwKQSotzI9c2maSEGqSCv9RYFT1jlDRqGoVFxVHvqUz6rPBmFcVSoaFJmd89r0O2WN+ESp3uYCsXpgN5fvgkJIOzykzjal0xtETX6SMBimOo+j5gKxJskgGnX9iCicEqE4t5WpOjY3pT7tIy91VquftX7Xta7b5TSIut0jRAKGidTdP9svqnyq6bHGd0Ald3u+pKWznPH19mQQ6P2uaZjfsB+fpFwcqATmIwE/CJhQf6IM2w29EGf8lSJfJ1x6RU9g0TZsVp1x9S2fpaoE+0wDENPjYiij3uiNcRhg2IzNnx6DBdUo/7YahgE9EaMcWfQ9ccXNJuws2O/hVZ6iyjwkAY8E5Nmzhoa5SOuqVDSXTDV5+HhxD8Qn93eeSePY7AKKp00jEIE+449AVL6kro9VR1BSpbK0pj4Xy5/Oxc6MyVg8+MKAqhBp+k5ddkDS2k8mD6NG+4HQOi09jcrPJmL2E2Hov3g8HvU0YLdOhVhKSBE4gx+OHoMpUqfaKu0BMtB8jcXoIk2o/rYSdZZjOPb1mcYbLkemfcdQxtfLLlR42iwELCXY/fIEjN/xCJ6dEG81dOWHtb6Ijfge+UsTkWhdU9kPcS/8C0V1VMRm4U4h3gmk3IbUPhe4pDuNiq2LMH13o766JFCc9sD1qcNww6IPsNK+Nt1yEMX/KoNp7hTM6usqW5GVh6oEaPiqYmnei5ZD6RiqC0f3+HXYMGICpt5kdJo1a97SKK19EpBnW/1vu2/55Jld91kLybj42r4jo64MZQe5hc3/PmCOwAnU4vDK3tCFXY0bp+vR54WRSI2S3njIbzK+wVHk3jkF8/u+g23WtZX52Bg5FbdN2Iz9tH0Dx86cXglYyhfiZWmi6+EkxLtaWpbdyFv1f8BTf8H4aOUbOjWxBoQPXoE1r+Uj67KO8sbisAFILslCTuZgRKpl4TWPBFy7w2Ni3gyMgL5vNvKkQde8Dx9fMgcjB03GLPuTW2AimYsEWpdA1zGY+O4F2Pnia1hWIRvAlop1+NuMf+DM9crFD61bLZbW3gnYXjMLAXP5I7hzayKueWQT9lvsP22VMMxZjo9v7W6bbDCi78jxmPBOFiZ62vDZ3rGy/U0jUL8VazMW4Z+TlmL9vT3cJroshzfh/cKhuPvea52X4aiWWo4vXopD3GfPocC6kVPaIFeJ0j8vxm2j30Qh316oUvN00T46eErDe81FQN8fSc/NQEb1Sqz611G6d2ourpQDIBLRVwby7O9rvs7oPvxDHHjmMPYMkmYdonDpKzpcvvBtjO0chsgro9ClSwxiYmkEUx3PDwF99zRMe/5mRK59DysP/2KrRJTbunRIejrkMMqO/8gx+Px0VWiXWr8Vrz8yHI93WIINzycjzs3KqsWRHXnIT7kHaYN8WNtb8w/kzLwI8Q8OQ1IXuzDbA9z7r2D2rp9Cm2cLtM5OsQVEU6QWAfuaSPrz1SLE6/4TkDexGaqFatZqt01v9mT+5DMi5o/r8WalPONwcuEYpHY9iLJP+1iNC72+J3pe08ku2O3TbdObWwpeIIHmIHAUB7//BRHX34MHDe7Lc5qjBMogATUC0luwhVajNxsfZ49SGKqKP0LwzQAAIABJREFU1JZi7Mw97r4JWJGk8dCE2r2b8I5JZTlElxj0vbmUm4YbYfl8RMPXZ1T+JZTX9Q5EYr67/1RR3c99p7F/4pmaBFwIGBB+WQxucdvla9u8dsuViHXMFiiz+pjPUojXB/3GTZ+lNb5fYRhSB3dzzDq7bWKzHMO/vzpnnRUOZE5aWVsekwBgW9cbNR3LVDyVVBtulfWxyyDcMPKou2EgrUX/NBHx/S91ewVNuiQQGIHTqMwfhqTo6ZhnfBPbtIxeAPIyhwE+2gAG7Qe4ujIc2nGVj3ICa1XI5lL6eNPyeaZMw2NfCZwQxXOihWHUOlFQa3Nqat4nCqYYna/5Ko7pNAlQb21ozHvFxtGdFfpVLyp2jhWj3PxJu6D0KZ/NJ2XCLJFdfs4qwFy+Xrye3kv0zznm8O1rPjFTjDP0EbHL94uTUirzAbHrpVh3n6suVWhvp9TZJvZ43Xoxb0BEo55Jqla+WGQ6XVPxk2rTx45jPxD7lL6mm1id9pCdOqvVy3Y9gzCM2+hFr2T/u0Y3f+tasqXrlaJ02bXCOHGVyD5wypZQutZfGOJfETl1VGQtelo66xSxQiuRllBe90LAfEDsfjtVjDZCev8sgBSRsCRPfGI3hL1k523fCFBv7ZwaRN2BbLFqotGmbxAwjhapb+8WBxxjo82AxXWKgBK+5JON2L3LEkSCVZchkJApJuyqcBi9ci0qRemWNJERb3DUwTBqvpj5mWs6e53b5yd1tun9bj6RI3KyYoVRoY9pW0rlBy6H+AZRV7JQzLu/s00frxaxWVs5Bjv4+H5AndVgZQucIv/G23/rlZ/OY60UfMWT4SsHBYJL4BXXcZV6rNEbTpe1dFYnpbJPZ0sxoxWn9sv8JIE2TYB626a7h5VTIUCdVYHCS22aAHW2TXcPK6dCQEtnucZXBRYvkQAJkAAJkAAJkAAJhB4BGr6h16dsEQmQAAmQAAmQAAmQgAoBGr4qUHiJBEiABEiABEiABEgg9AjQ8A29PmWLSIAESIAESIAESIAEVAjQ8FWBwkskQAIkQAIkQAIkQAKhR8DNq0PoNZEtIgESIAESIAESIAESaI8EXL2VGVwhuCZwvc9zEmhrBLRclrS1erI+JGAnQJ21k+BnsBCgzgZLT7GedgJaOsulDnZC/CQBEiABEiABEiABEghpAjR8Q7p72TgSIAESIAESIAESIAE7ARq+dhL8JAESIAESIAESIAESCGkCNHxDunvZOBIgARIgARIgARIgATsBGr52EvwkARIgARIgARIgARIIaQI0fFute0+jIud6dOgwDctqLK1WKgtqXwQsFRuwdlIUpN2s1v/EZ5D+9m6UeFE5X/M5p4vCJZPfRG75fxWQT6Ny12RkDulgq4OUZgVmf1YJkyIVD0mg6QRcdW0oEpe76LqlBMXLE5Fo/z7ohiJx6WYXnW16TSiBBBoJmFC/ZySGaPzWex9DGyUBJtRuS0aUQ39t47rivEPmdlQps/DYKwEavl4RNU8CS/kCPD+pGKZIXfMIpBQScCVgKcbfpz6Gqfq5yDlxDkLUo2L2SdSNexRPFPzomrrx3Md8lvJZeKhXPr58tBSS20NR+zaWWaZh+EPvoMhmWEt6/twf9qN45Kc4YBYQ5m34R+RSZCUsxSo+8DUy51ETCUgTCYm4InsAhm6VdL0BdQdvxKC3E3DrmkO2h6zTqPjgr7hp/SD031WBBiFgLh+BP30+CiOX7KSx0MQeYHY1AibUl0zHrMlbsFPlt96XMdRZqgERtxagUhpvnf5PoHhONJCwEOufT4DRORPPvBEQij9AYsu/ZidQt0WsTu0mBgyIEDBOE9mnzM1eRHsWSL2Ve99cmiZSkCrSSn9RqEONKFvRSxgyCkWl4qry0Ld8R0ThlAh3OaeyRYahn0jIqxZCyGUhZY34RKni5gKxemA3Wxplye33mDrbxL530ju7rAZRk58kDIap8hhrLhCvJ3YUxlWlosGeRAgh6XuSPY3iOg89E6DOeuYjzAfE3mVJIjZru9i7opfKb70vY6iXMqy3G0Td7hEiAcNE6u6ffcnQbtNo6SxnfL09GTT5fjm+WDIej3d5FS+Pj2yyNAogAXUCJtSfKMN2Qy/EGX+lSNIJl17RE1i0DZtVZ1x9zFeTh48X90B8cn/n2YWuaZjfsB+fpFwMoBrl31bDMKAnYpQji74nrrjZhJ0F+znLpugZHgZKwITavZuwCMOQOribQog8O9bQMBdpXfVAXRnKPu2DmB4XQxmpSW+Mw7XYgtw9Pyny8pAEmkKgFmWr78Wwo5nImXEjuqqJ8mkMVcvocq0+F8ufzsXOjMlYPPhCl5s89YWA8ufJl/RM4xcBaa1PJp6a+Sc8m3UnLidtv+gxsT8EzuCHo8c0l9JEmr5DSZVyLa5dtm/5LFUl2Gfqi9iI75G/1L5msh/iXvgXiurs6xyO4djXZ+yC3T5N+46hzMtaY7dMvEACbgRsOnvLFYj7fgVW29e0R43B8C1lqLall3VW+RCoFFSKsuM/ct25EgmPm0CgE6Li81CyIAVxerVxFvBpDPVag9Oo2LoI03c/gmcnxDtPQnjNywR2AjTF7CRa4rM+F6/9qQrGnS9hVjTX9rYEYsq0E5BnW+1nvn/6ks9snU3+BkeRe+cUzO/7DrZZ15vlY2PkVNw2YTP2SwatNMN2kFvYfGfPlIERsOls/XqkjqxCQ8Yxef3j4fuQsnYIknOPwwT5TcY3gRXAXCTgJwEDusT1gPY7Xbs+ehlDvZVq2Y28Vf8HPPUXjI/WeqjzJoT3afi2lA5YirHp8cewcPI8ZPN1REtRptxWJVAJw5zl+PjW7rZXx0b0HTkeE97JwkRPm+datY4srN0Q+DwSqbnPIq27zQAIT8Hwx/rj4MgVWFUj2g0GNjSYCDRtDLUc3oT3C4fi7nuv5WxvE7qdhm8T4GlnlXYTp+O+YzOR/cQgD0+B2hJ4hwT8IxCJ6Cu15xu0ZfmTL8ptvSS6xCBmyGHra2OLdByrXE2pXSrvkECTCRh7u6xnNyD8shjcYl3WY7Ye92tyIRRAAs1JwPMY6vl9WS2O7MhDfso9SBvEtb1N6RUavk2hp5XX9jrCtHMKhncJs/kz7YqYx74DquYi/cJoRK22u9zREsLrJOAPAXkTm6Fafaar2m3Tm122L/l+jYjr78GDBvW1a3ZJ0PdEz2s6OU5dD9w2vbkm4DkJ+ESgBwYOHQQtXbeLkDaxDdDU2avcH+LsGflJAs1OwODbGOqpXEsxduYed9887CkP76kSoOGriqWJF/VJGFfQ4OJ3rwZlK3oBxmnIPlWOykf6Ou00bmKJzN7uCShnu5QGqn0j0JWI7aL2dfcxX5dBuGHkUXfPDNad84mI738p9JBnj902sVmO4d9fnUPklVF8+9Hu9bQ5ABgQflU8Rrt5ZrB5KIm/AQnS+kfF2wjlTJpjk9HvwpujMpRBAr4R8GEM9fS+TF7mMMDds45vpTOVkoDSwZuWzzNlGh4HSsDm45R+fAMFqJmPemtDY94rNo7uLAyj1omCWsmRbr2o2DlWjHL42dVA6FM+Fd+R5gNi10uxouPYD8Q+m99e84mZYpyhj4hdvl+clIqzpXH4VtWoQnu7TJ1tao+fEMVzogUSFoqcOln5zOVviPn3RIr+OcdsfnvrRfn7g4TBME6klZyyFiileeX+zu7+qJtanXaQnzrraydr/db7NoaqlyL7qDa6+WlXT82rMgEtnVWbAlLaxTwmARIIFgL63yMlcz6WdZuG5AhpiU04uqdacPaN1XgtWfKzK/3V4vDK3tDpBiIx3xbNzad8BoQPfgv/LEnCda9Gy8t3wu7HQw1/w8dL7kZ/20iijx6PjA+TMezda3GJFFYz7GoMKR2LZ3c8iUcl36r8I4FmIRCNgdP34tCUYnzUR15OFjboExSP+xQFqT1sb9M6o/vt87Fl4VEcjLvQqrNh0a9gzVVvYD1dQTVLL1CIPwR8G0Mth9IxVKcDQxH7w9a/tDrJLrZn0el01tfz9nN+kkAwEKDeBkMvsY5KAtRZJQ0eBwMB6mww9BLrqCSgpbOcglFS4jEJkAAJkAAJkAAJkEDIEqDhG7Jdy4aRAAmQAAmQAAmQAAkoCdDwVdLgMQmQAAmQAAmQAAmQQMgSoOEbsl3LhpEACZAACZAACZAACSgJuG1uU97kMQmQAAmQAAmQAAmQAAkEKwGFDwdrE9z8JbsmCNaGst7th4DWzs32Q4AtDTYC1Nlg6zHWlzpLHQg2Alo6y6UOwdaTrC8JkAAJkAAJkAAJkEBABGj4BoSNmUiABEiABEiABEiABIKNAA3fYOsx1pcESIAESIAESIAESCAgAjR8A8LGTCRAAiRAAiRAAiRAAsFGgIZvsPUY60sCJEACJEACJEACJBAQARq+AWHzMZOlEGuTO0DaWej8Pxzph876KITJSMB3ApaKDVg7KapR3xKfQfrbu1Fi8SzDt3xVKPtoJMZE2fQ5agyGbylDtZPo06jcNRmZQ+x6H4VLJq/A7M8qYXJKxxMS8IeACfV7RmJIh2lYVqOmzN7uA6jfgHkxv0Fi/o/+FMy0JNCMBKpwaGt64/ioOoaqFGcpQfHyRCQ6bImhSFy6Gbnl/1VJzEveCNDw9UaoKffrynBox51IK/0Fkpu4xv8cZPe9oCmSmZcE3AlYivH3qY9hqn4uck6cgxD1qJh9EnXjHsUTBR5+7H3KdxoVOXfh6pd74PLCUxCiAXWFl6PnnAGIm7fHYfxayhfguT/sR/HIT3HALCDM2/CPyKXISliKVaoGi3szeIUEnAmYUF8yHbMmb8HOSJ3zLeuZt/uS0bsVa6ZNxz8PX66Sn5dIoDUIyGNov7kR6LTqR9keKJ+C8YXJTmOoe01Oo+KDv+Km9YPQf1cFGoSAuXwE/vT5KIxcshNV7hl4xRsBofgDpL7gX/MQaBA1+UnCYJgqsk+Zm0ckpagSoN7KWMylaSIFqSKt9BcFpxpRtqKXMGQUikrFVeWhT/lOZYsMQz+RkFetyCrLhnGaTcdt5ylrxCdKlTcXiNUDu7nkVYhph4fUWR873XxA7F2WJGKztou9K3qJRl2z5fd2X9SLis+fEo/Gviw+2zVepOA66qGP6F2TUWddifh5bh1DDcK4qlQ0KLKqj7/KBAXi9cSOqvmSaF8oQLkfauksZ3y9PRkEfP8Mfjh6DKZbrkRsF2IOGCMz+kjAhPoTZdhu6IU4468UeTrh0it6Aou2YbPqjKuP+bqmYX7DfnyScrFCtuthNcq/rYZhQE/EKFVe3xNX3GzCzoL9nJ1wRcZzDwRqUbb6Xgw7momcGTeiq1tKb/cBy6FMDL2rMwbkT8INF4a5SeAFEmgtApaqEuwzDUBMj4uhjBymN8ZhgGEzNn96TH05WF0Zyj7to5rvWmxB7p6fWqsJIVOO8ucpZBrVNhpiMwJ++z0+fyDctuayH+JeyOW6nLbRQSFWC9uDluqrYCDS9B1KqtTWgwWa7zQqP5uI2U+Eof/i8Xi0qx6wHMOxr89ocjXtO4YyteWZmjl4o30T6ISo+DyULEhBnF5Nd73dB/RRE/Ded1lI6658GGzfVNn6tkdAF2lC9beVjiVjyhrKBrOW/pai7PiP6gazUgiPnQjQ8HXC0YwnlmP491fncNFvb8Jd79bb1vfmY1OflUi/djFy62kBNCNtioL8oOU/CP/zWQ6lY6guHN3j12HDiAmYepNRnsGQZiYOcgub/33AHOoEDOgS1wOR6jcBeLsPICIGcXzjpkmQN1qPgDyz6/4AJxm2X2su1JXfyH3TetVsFyXR8G2pbtYn4aHtZ3HSOlthL8SImNvvwdifp2PihsN8SrNj4WdQEdD3zUaetFnTvA8fXzIHIwdNxizuLg6qPmRlSYAEWplA1zGY+O4F2Pnia1hWIRvAlop1+NuMf+DM9crFD61cr3ZYHA3f1u70LjHoezM0X2u0dnVYXqgQiET0ldpzY9qtDDQfAH1/JD03AxnVK7HqX0dh6RKDmFgO4NqseYcESKD9EuiM7sM/xIFnDmPPoI7Q6aJw6Ss6XL7wbYztHIbIK6NU3m4YEH5ZDPq1X2gt0nIavi2ClUJJoLUJyJvYDNVCteBqt01v9mSB5rPnB+zr007pe6LnNZ0ab7gcuW16c7nPUxIgARIIbQJGxPxxPd6slNybVuLkwjFI7XpQdfOanYPWEgn5/lVum97s+fipTYCGrzabJt2R10EOdHeWbvXtexXik/vD2KQSmJkElATkmYFb3DaxefMu4ls+TX2W/MVU97PqczfIs8dum9hs693VZzSUbeAxCZAACYQoAUshXh/kHkBFWuP7FYYhdXA39YZLb9KGHHbbxCZveuuL2N+Fq+fjVU0CNHw10TTthr7vNMyZ8x/sfGcLCuvsG9mqcGj9Six5cCYWJ3tyC9W0spm7fRLQ9xmL8aO3YtVL79t0zu55oRMSptyJBI1vuy/5VPXZsh+FL87GohFTMONGadCOQO9hD2Lc9peRvuobeYeypQS7X56Axz59CjOG93Fy49M+e4mtJgESaJcE9IPwh4cvQtHcbMUa3w1447U8VK9/TPaMowZGfwNue6w/qtMWYOLBGmsKaW3wq1lvYnvGY5jBYFhq1Dxe0/gp9JiHN30iEI2BUz/GzpQteCsmzObObCweNy3Ax0vuRn+S94kiE/lBQP97pGTOx7Ju05AcIelcOLqnWnD2jdV4zfGgVYvDK3tDp1O8jfApn4o+h2Vgdo912JY9Ckm2nfP66PHI+DAZw969FpdI4TXDrsaQ0rF4dseT2gO7H01kUhIgARIITgIR6PPIh9g7vAi50dIaXx3CHvwa+x/8X3yZ2sMxKSC/XdOhQ+Z2m9/zzuh++3xsWXgUB+MulPNFv4I1V72B9RPi+eY4AGXQSbEu7PmkjlCc2i/zkwTaNAHqbZvuHlZOhQB1VgUKL7VpAtTZNt09rJwKAS2d5byjCixeIgESIAESIAESIAESCD0CNHxDr0/ZIhIgARIgARIgARIgARUCNHxVoPASCZAACZAACZAACZBA6BGg4Rt6fcoWkQAJkAAJkAAJkAAJqBCg4asChZdIgARIgARIgARIgARCj4CbV4fQayJbRAIkQAIkQAIkQAIk0B4JuHorMyghuN5U3uMxCZAACZAACZAACZAACQQzAS51CObeY91JgARIgARIgARIgAR8JkDD12dUTEgCJEACJEACJEACJBDMBGj4BnPvse4kQAIkQAIkQAIkQAI+E6Dh6zMqJiQBEiABEiABEiABEghmAjR8g7n3WHcSIAESIAESIAESIAGfCdDw9RkVE5IACZAACZAACZAACQQzARq+wdx7rDsJkAAJkAAJkAAJkIDPBGj4+oyKCUmABEiABEiABEiABIKZAA3fYO491p0ESIAESIAESIAESMBnAjR8fUbFhCRAAiRAAiRAAiRAAsFMgIZvMPce604CJEACJEACJEACJOAzARq+PqNiQhIgARIgARIgARIggWAmQMM3mHuPdScBEiABEiABEiABEvCZAA1fn1ExIQmQAAmQAAmQAAmQQDAToOEbzL3HupMACZAACZAACZAACfhMgIavz6iYkARIgARIgARIgARIIJgJ0PAN5t5j3UmABEiABEiABEiABHwmQMPXZ1RMSAIkQAIkQAIkQAIkEMwEaPgGc++x7iRAAiRAAiRAAiRAAj4ToOHrMyomJAESIAESIAESIAESCGYCNHyDufdYdxIgARIgARIgARIgAZ8JaBi+36Fw8m8QtfoQTKqiTKjdlowonQ46j/8DkZj/IyyH0jFUJx+rimuzF2txeGVv6KKmY1mNpc3W0r1itnoPXYuipla7rhAfTIqy9fNwpB86615cXRG2PnEXJtrvWQqxNrkDOmRuR5V76qZfae3yvNQ4ePXbS8MCvV2zDJkdOngYPwIV3Hr55D7V0PfWq0YLlWQfv0O1fS2ELajFmlBfOguZQzrIY7nWb0MbG1u1kZtQf3ARnkluht+4/9/e2cBFVaV//DcwLJYKZuEGYrVhiuDL/k1TW1whVPqv1ZYFm66pq2ualpgu9vLXBc0ycbWsFUvTzBQV1LSyAiEhKUmtXV9AKK2Ut2oqBXyNYc7/c1/OzL137sxccDSGHj4fPnNfznnO83yf57zMueeecV2I5k4NyjcNRZw45glrue2bz/hQg/cKnmoGvnUoX9EH0fM/wrGfr8E1NXuxemqkOHhV62RG0LA8VDMGJv43oDY3HqG4FbE5FvmacO8Adg+/Tp3Vp86C0G3yMbDq5zA1WIPKp+xorrJ1+CJzMhKzRiK14iIYy8LyyDYaYVbUFS/A35cHuviSpEl+yac65fnFY0JeAxrS70DoJctvugC/yOXI8flYb7rdlIMIEAEfIWArRNZjz+KFbptxsJGB5UxArFOXptO2tljzTmDfmjSk+185BW1lCzB91Hf4KesbNLBqVE+KhPnKFW+wJB0f/sL9o0HFr2gyTegHofsjH2Bb3134ZNtxlO4uw6G7tiPLpwevV5RnKy0sCJ3at7wq3kphk1lEgAgQgctD4NoOCNH0+penoNYqNRAdg9u2wAFva+V9eezSrQKsohy7HlmLVde/jqKzV+Ear5R9Ed8Xb8GiUe3kx+a9ED3/fRTUK5/Fn0X13pmOxzGmBMS9nKtJo1FGfqzaaeZSu2z7I3ZbCfaviJMfTZhginsC094rg0UlQlNm2Dgk7SyX02iXOhzHh/8IhilhOT7Y8zeMC5OXesQ9geTiannGkz9GTEDci7PkNHyZRw3K3pvm0T5b1UassS8v0OFkK8Gn65Mc5ZvC0Gnma8goqVVZ5vGkvgC5L7vgIy5XuBbdpxwHahZiWgd/naULgq13InJ4PmqQjYweV4lp7Fp8+xk+nB9tXxITMHYpXiq13xXVU9vqyQ4X5amWVtjkZTj3IWn9entMmIRYWlGMitMFyLHr1AvRC4tQogxBQzGjJqte6uCIkXeLFLGsiit1fvuZ1h+68a+JV900gJqrTgxpy9LWDb5cYcUuFCvqkLMPz6L6kzQHZ8HO7AJ8azdKONDGvSc/y5k1vnAq22M94HUxCVPey3Ffp1T68pMGWA4o2ixdHxrzB5coftZm4Ikwk6Y+cV15WwFA6yM9X2sY6bZxGk4BY1/AO3sNLELS5DPptTNGdFQZL5xoYkZ4dKyNP6c8vF49jzffHu1o+8S2txK1pS+oYnD0JzWqJ1Dq+qAff7bKbGTb2wahbdf2P1acKcnAKnvbrNVbx4eiHbLufMmcmz7LiJ5OaKDVS22f2D75D8XEfCusi+MRprvs0EXbygvzelsuCJa5xD2B5Zy7zMi9L4R8fRG/pA7InYg4f0WdMVIfuE3KT20cq+JRGgf498hALj5DQUKIi+WP3P96fb+RdsJgvdDY6GgXXfhQ1T/KRru1F4Dh9l8J0YeOmfavLo9tjJ/KUivOs/riiSx27kfsSKM2kfa8gdXmxrNQ3Mpicyzam6zx6FQ2HGCIfYqllp4W7zdWLmNPDgpkIQuL2ffilTOscnN/ZjY/xEZ9XM0ahGv1O9mqB9sy84St7KArHU4vZ7NDwRA6gU0tOc1YYxnb/dkpxhr3sa1j2zLzQ/9mmZUXGWMNrL5kOnvI3I31zvpGks+kMkMxnMVuPMq+Z42qNI2slpW/EsEQ+hRbflpQ4BjLnxXEACjkVrOyjfEsFiNYYvEpsRyJhZBmLcura2SNJ/awPXU/sqMZvVX2NVa+zpY82JYhdinLqpcMbKxIZRPMZhby+Ba2u65Rh0EF2/9suKJ8xljjQZY3K1QhR9Z7+Gq22xU3ztbO5wyrKhrPHhLKtvtEa7+TaxX2JrKpR89LCRrz2Op4M4Odq56OjEm2dmNRz+2RY6xaZvQIS60QfKb3x2PNuTxzSj6rZo1yLCrj7QyryvkTixViMHSsHF868WAoZpx1kuKbxz6PkVCHDxkvn8eIswzGuF+lmBFS8DoSuvKoKl491RGPMWTE97xeufVhA6svHsVilWnq8lh2cigDQpmkt5QmxizXT9EwOV7dxafsC0eboY0NzovXb70Y47GijAUHV0ecO/vD3mYp46U0laV4sc2S4pWXzXXlccTtcxMPhuJVkuPg2MDqBTtihPqpqENcDfsnL98dX57GjY52efyAx4OinTdUP3TqFW/3NO2x1M462hBD7Ux9Jnu+T5CiLdKJE55mxSF7nyW1K5yj1ofcZll33o/wuqXpswzpyUXaPx3tmL0dbTzC9j4XxULtfZJQN6Q2WR1zdiHyAdef2+PId3nacu7TnixKZHqBndx9lNVzzvZ+QccXvC9WtiGG6oPWZsU4w21fyORxDK+fOnIY56ft+88ZGNsYrBce20Wug7MP7b73Wvuvx8A3rgnrcb3wx2HrB4V6YMCL0wzOTi9nKWaz3FnyNIwx8Xov3QG1mEpuROxOFS9yfRTOV1w3m5+UBrK6jYFcGcUKdV5/4Bs6TTMwk/JIOvCBl4aFaIdy0C3bqLDbeaAtpNHY4oKHxJjbq2ErF+X4kGSazY7OQbqnKctp4O+Q4DjS5nE0lmqf8IaD66jk7JDGv1xo8zpSeCrPHX9NfKn8z/Nx/XiJnJUcM/yy4lMd37JdvJPj6RR+Fr/U8ev8szGPvRYX6Bz//L7w6UqGKib0vqwomZ0Rvxh49L2heqWMe4WiCj3tMa3soBRJXR2qmcqplHJVNjukqOsBt1tTF/U6TYcI8UiS01PxJVm4rIkFhT4qn7rQzV6EW7ayrh7jgdvmIV51dXGV166hy3ZXxdejjgp59kMXMeNRll690rdDHTtyPqf4U+oh1X17v2DXVd2Oqmy3p1EecH1cxBtvE3T9b0RPZVn8WLbDaXJII0/V1vG82k+uvyKmXORTs9CUZRcr6yZOSNgvKg7kfJyLeEfSwZMveD8Bu191dHcrj6vBy/PUF/L+S+vTW4B0AAAeoElEQVRbLkf45Dpo0hhqJ1yw0tQLdWzLZavkcx1c+ZDHugd7dWNUR7bSfB861l3qcEUnrA8fQ2l9A+r2bcN6ax90v/E69fqZ9t0ROeQoivIONWGHgBM4kLMfNaFdER36G4U5ZrTr0h13WHch+9OfYPtiGzbnhyDkljCE2FNF4I5/1cqL/3+2X1Ud9OqL2DCl3BCE3xIC6/o8vFXbqEoqnVjt9sX0+q2OfYDly2rU2/ajKPsE0Ksrotpz1/AXCeUXy4KnIr3hEHYPOoLtaWlIS0vDppfjEC8+htEpWveSxMd6Rz+NHRKfXvgKpSfP6Oa89Iuy7Noc5GTWwdznJnTnporClSyVaxAuvWR3EgLxtaGYcSfD7T0xjiU/q5fayLn8uqPP0BDUpL6OBR9tR9r2o5olOY4YcldHaj3G0Leinc3zvSY+anPwwbJzmvoDoH13dB8svXViw9UI+/1tiM3NwLysAmxPe9f90iURRx2OFeYgFzcj6oZ2Dqxi7DeIL5X4XVI9kGIMYtvjLsZ6QF1fle3HD/Y67c4fBhYUOOxTHnmMByNtHNcxUs0R3I/KAjXHRvh61FEjUzyV2teG9B44vW2B2H6tWTMFs4fcib/v7qiX4dKuGWpnIL6s3dDwDMZWrhJ1WrJkLlbNiJSWeska+IXHYGjMW1i55h0UbH2+6UvL3FliSE+dWOV1cGAUonTaUc8x7k4pT/cuR1su9XeefOGsmZH68JNzNlzuvtBYu10Dz/XCD57bRU9v4vB+zivtvw5NX7mkqiq/vNLy+hnlFmny2qRm6SavTVVuuSat02mWNM+Zao6hpEZvsHwO3371jduBu/XgNyjTadecC61B2Yo+CAuKw32F52Hp0gVlP87C8r2TMdzogNX2Db757zln0fYr1Sg/8QMMqWPP07wDac2Zclu8YFVn0zypQi7NoMmooCsdM3a9wtHv6X0ozbgKnbdNxbz7otBJb00lX2PW3DriRd/bakpw0Or4ymg3RXVgRrsB6/DOkUmYbJmHZfPuRlyQv4E1nSohOideqAc6Upt+ycttll0Bg/HgNl5/9tju2ItzOjDC16COKtnCNlTJGBcWhqj796Dw2ltw8mQ0bsp4F6vjLeIEgO4XQy5DNSnAL3r+9NjOnHkPr43qgPY95yGj7nrU1/ujKvZt7HslAvbBY7tRSHlvF3ZE5uO9F+diWs8OOuuAPeviLoVHPTWZPdZBl32SRpAXTpuqu8sijfjCVWa39UEnk8H2UH9bVx15Li95aidsHuvFdwhwKd3oDX+D9l6Jvt+ozpcjnacvCJejTDcyEzH16DqdLbPcZHF3a/hq7H5fb9sWKZOtzF3mZtzjM8wV2rxX4/qbb3K71ZYw8xnpx1Cizao5F7ZUSZ5qQ0jWNziZeKM8eywsan8RhwF016TXPfW7CTf9/mqIGXQThIkz75f7WxGzmBG68jBOtqRtYTzEjC4ur10MRY9708T/SS8KLzosxpsvz8C0YV8BR+dhjFiOhzpiy3evjRd97xcajT7mla7DyK6JGe2iJ+NB4f8xQHhxZeuaNCSPyEdpzgfN2vLQK/XArt+lHHjwx6WIhrt4mI5IQbbbeBXaBfftjiv1jPN1p+MC520ghW21pmcg83+34uCqkejNGxnhhb9SK9DXlUbNv+65nRFeXpqOSYXjkVqxFGnh/Gme8BKVZhjePhZ/miD8v4J04eW/zHnImJ2AYRX5OJkei7bNVxOe9XQW7rEO8j7JOatXrzRHd30F6vDFBoO+0BPgtj7oZDDYHgoDpUsbDHpoJ4QX0K5AvWg0aC+vljrEWsWlFmKfP4JuG4kx5oMoOvyd6m1cnNmI9NvbNHGz6BvRL6E/zB8eQEG1cgbWijOfjkacSdq43a/bSPzFaZZB3slBTOMi1J0ekVpQ+aUF5jFDcV+w3saCZtf21ZejrBDi4+L2fv0Rk3ijY4ZBDjFp1wBhw+xS1FWU4zC0j2Avov5UXRMC0g0fUX4zZ0uboAGCE3Bn8tWwFJeiVIW5Egee6wKTqw3Wm1JGE9JexO8MxUwTRF5i0rYIu30OHpkwEKHirE2j6xhS1BGbxxi6iL6u6kZTfc99+GW1ellGfTnK9+gt+ZGQ+IUnIjF5mljfhScLzrMpQeg6JMH5CYb8drIpYSU+/cYb9cCTi7RLfqw4U1GOD83DkDjgOkP+cLZNXgoS1dQ5B208tDcQr1ZZxzLN0iXJDuGLsv4fv9/Udkaro7LtlUvi7Z3m0byt/nv8oK/MpV3lMeq2nTkvtt/QLmGz/YTTFtdxDL9oDBizEONGB0F4Yldu8xOX0vVqjsaG9NQR7DKf1Cepl83p5PfGJZc6NKct53prlhN68gXc9GmKPt/ZXDf5mtoeOgsH4KbvV7bbhurFVR7aReHHPNwP6dz2c16xVxdCi7vontKVVDd4HJI3BKN09FyM5VvRCL8aNmcWnghciGWjuqnXxrrVzYyg+IXYPHodnn16FTZWCQ2w8Ms1CzD/8W0oWTgLacIPMfgNxJ2zhyNm8SI8tKtK7IBtVWvx+huVCBHT8G/+msJq1iJt3lvyWkXhkeBIJCz7K/5vegxCXX0vDL4PE15qo7ZPeKQzZTYWx6SL9vkhCF3vmo4nb1qKtAV50jZbtkPY/dpbyI1NwbJRkeggfkF4C9mrP5K34TqL6o8fxdMz9rtdSqG2wIygQTOx4gENn9JZePRPhbByPupMLs6U6wUbUWepc0VAkz8CsTMex9h1T2HUIr6lmPDLOOOR8n99kDh/pM4G64KI5panKd7p1M9YzDjl89IFWz5W39EGnWZudayBrS9E7s5SWCY8iMnd2gAG6oihGPKa72UfvvAIhr5yWBr8CnU2dQEWy0sghHVp4q8fxj2NtKN8K7salL+/DXsxCQ//78269dqv22TMnlWNgoXLkSHW37OozluKN/MTkDg/CYMGCV+UL7UeePLdZyhYuFTWW3hEL9SPCkRlTsHDwg/aGPCH7vBW/nJiXb8BC8Tt/aS2acH8Qkcd9hgPbY3Fq6hjGxSNeALTXJXlhIF31h74etRR+2M3AP/CW5O5GStFvwpb763Fiyn/wppmL4h2MkBxwUg7c634JSI0dzMW5Ev9AGwlKF40Ho+uO2uXJU1AJCBuE98SU/Dbm3gvD+j993jE+AHSZMpBFK3fiXxxq06hTZuMZ4Stt9z+GdFTT8CNuG3CeIzStKNCnzRmyWA37aierOa2rc3VXU8HaSDqyReAvE5fFHEBFguM1QenIr3ZFzoJly4YaCf85C8PnuqF+3ZR6DOVX770+mM/L/b9Luz1gcstZ+CLtuictAOHd7RH+BM3IEBYwxg0A6kdlyHrzWlIbNdEVf36Y+S/38XO/luwMjwQJlMA2sd/jW+mFmL37AHyy2xtETY8Cxs+iUbf+TeJZfqH70TxQwVyGt35GiD2IaT02YzXu/tD2Nuy195xWHJwoeIRmZ7nQxH5yAdq+9ovw4bbt2H328l2+/w6T8ez2a/j+Ybx6Olvgsn/ToyyLXQwCB6HGR89hvHFI6T7poEYlj8UIzfPQYpZZ4ZFTxXhWrs/4e8rNXymtUH7HYdR8iTn4yqz+rpUGYuQ0aMdgsdswX7VDK46rfLML3wOlv03GTO+S5JtCUPP9xIw5OOVyBzQQZlUddzc8lRC9E4MxYxeRi9c84vH39a9ieUd/onRwhpYRfxnzrtLfiRsrI54jCFv+l7w4cEpGFs4CJ1EndOxvP/zWBQnvUhiQxC6TdqB4onH8HW8sCZSWM8t+Tm+cA7m2B8raxj69UZ8+i7sSypAtlh/26Hzwp7ovVeODW/VA02x6tN7kTgxClfN7yy1H0NP48L2t5FnX2JkzB9qmcJZELqNfg0fTCnGW9ECkxtw86rf4c//NwbDeWIj8WAoXiUdj7x1HmeGCmUFoP3Un9Fzyt2OsniZyk8jfI3oqJQpHkcg9vFXsLrPq5gm+tWEwKcsOPXgVmydFeSU2hsXPLczwkTJMuzI+BmNw8Olvic8HUvDlmLbxliYLcIOloBfZDpe/3gQ7tzRT4p1uU85+Y9cZN4vLzvzG4Kkl9KxoGEahor1eDymnHoKczIiPJriWU89EWa0i1qCDFU7eiv++OVjmHNkA7LctKN60prbtjZPdz0NjPlCqEPiJNG5yYjzvxl9th+D1VB90CnTi+2hjnTA0NjGYL3w1C4KcSpOGrjpj71or/RlULsnuT6FlnTVJOxA0ZIUatm6yBtnH37B7drhlm0DaUcEiAARIAJEgAgQgV8ngSZOo/46IZHVRIAIEAEiQASIABEgAr5PgAa+vu9DsoAIEAEiQASIABEgAkTAAAFa6mAAEiUhAkSACBABIkAEiAAR8H0CNOPr+z4kC4gAESACRIAIEAEiQAQMEKCBrwFIlIQIEAEiQASIABEgAkTA9wnQwNf3fUgWEAEiQASIABEgAkSACBggQANfA5AoCREgAkSACBABIkAEiIDvE6CBr+/7kCwgAkSACBABIkAEiAARMECABr4GIFESIkAEiAARIAJEgAgQAd8nQANf3/chWUAEiAARIAJEgAgQASJggAANfA1AoiREgAgQASJABIgAESACvk+ABr6+70OygAgQASJABIgAESACRMAAARr4GoBESYgAESACRIAIEAEiQAR8nwANfH3fh2QBESACRIAIEAEiQASIgAECNPA1AImSEAEiQASIABEgAkSACPg+ARr4+r4PyQIiQASIABEgAkSACBABAwRo4GsAEiUhAkSACBABIkAEiAAR8H0CNPD1fR+SBUSACBABIkAEiAARIAIGCNDA1wAkSkIEiAARIAJEgAgQASLg+wRo4Ov7PiQLiAARIAJEgAgQASJABAwQoIGvAUiUhAgQASJABIgAESACRMD3CdDA1/d9SBYQASJABIgAESACRIAIGCBAA18DkCgJESACRIAIEAEiQASIgO8ToIGv7/uQLCACRIAIEAEiQASIABEwQIAGvgYgURIi4PsEanAouxQW3zekiRZo7K4vQvah2ibKoOREgAgQASLQWgjQwLe1eLI12FGdhnEmE0zC/7htKBFsqi9A7stxiOPXTb0QPT8b2ZU/+6bFtRl4IswEU9jTyKi1ubXB+mkSuprikPTpGbfpPN+04MDzfdDn3TJ87zmxTgohfyeYuv4L2VbtbSvOlCZjnGCTyYSA2R+iRpvksp2700soVGO3NRvpIUORVl7XfI1qMzA74H5MK7sgydCeN1+yF3LWoGxFH4TZ64rgkylIq76AmqxbXfjPC8UaESHWbW/EspHC3KU5jvyZ1yIseRpGc068rXGXje4RASLQagjQwLfVuLK1GBKLxOJ6sDdGItq2H9sevQsj9j+AhysvgjEGVvci5v2UjKSHliP7jPuBY8sjUocvNi1F+u9iEWN5F9mf/tTyVGyyRqdQ9vZGrLt6MbIaGBrS70Bok2X4SgYr6vZtwwtDRiCxWxsA2vNf2A5rEd5dcgiWlHxUswZUb+4rK2RGaNJnYMf+gUTzL6RjWBreYLuRNaDdL6SAXGxtDnJejsV9jyxBJvsMW/4a+MvqQ6UTASJwxQnQwPeKI6cCDRP4did2rLse3e6+B6M6/0bK1j4eI6fch+EFG5DxiTBwFGYcX8CiUe2kmWJxRvh9FNQLg2KdGUFrNv7V1YQ26QdgtWZjcecAdLr/z/KMcpI4k2er2og1M8Ic8hYWoUQcY59F9cd/s89umsLGIWlnubx84KI0qybOsDlNi0q62/Zjz+ZKhI7/J/6ZfAJFeYfUs6P1+dhiLzcBk984hHN2WDUoe28aZg8OkPUywRT3BJKLq2HjdsbNwkJF/rhNZbCI96LR/ykLsO5+9OSztrYSFC+Mts8OBoxdipdK+RIAK84cTXOUFTcPmw46NLGrpJR9PAVJAXFIKsrRYfodyt8drc+N+2DmUocPwyZi2sd7VCwkWxwlq47OHcaRZ7gtwhMBwf+nceB5hd3C7F5AEp64eBGlSTeI/r8gzqgn4P45g2X/h6HTzK1y7AAQZym7Ijq7Qi7uHGq+qkTIX25HjNhyyuf3X40vhrZB2KoySJ7/HFvHtHE8tQBgK5uGoeaBuP1W76W7o026YwZeiOvIJKQcB6yL4xFmmohVfFYaVtWMr/QkQWm3CQFjl2NjlfAURa4zqljqhWheB2wl2L9C8QRGVQcAl3XH7YzvWVTvnemIt7BxGP1JjcyyxquxY6spwfqQO+UvLqooohMiQAR+JQRo4PsrcbRPmnn9YAyJP4Ev3slWDMoAv8jlyGEHsHv4dbBVLkByn9lYEr4NRxoZGisn4Z5d92DYjO04ZBNm5dz/ma6ywrK3C4ZUnEfdnulIiTiM7U9PwsSDKciqb0B9cS90ejoJw1aXou7TSfhrTDWq3qhEA2tAfV4HtLn3HgzNPgErAqVZNfYK0sL0p9VsX2xD1u57cN/g2zAgoT9CFr+CBfbByXF8OG8kEg9OxvLKi2isHIFOh4/bB8a2sgVIHnEMn//zGzQwwc5leNK6FC+lfoCPuJ0FG/FCwFocabyIqhwzMCoRQ7PPoe+TJdi/MAQYuxVHxFm/Shx4/k4Myk3CHHEmvRqHB72BWX2eQpqwhKR2Jeb3fhZrB+6UZD31NT7bdFYHZAj6cdkRwozvbmQNrIOK6cGJGPv53Yi7+0eRWyM7g6q1P8By1wMiN+H7hJh+UwlOzq0Cq89EesQ6ZMRMRWpkDk6zCux/thQFM9ch29XSkJrPsaXNq9jV2Cj5K3Uu5u21OnQT7BaeFjRkYVFgIKKyTuLC7H6QvJSLbR8PRaLI/ElM3P+gHDsAxFnKYyhJ7CLZLnxxec2C7jdeJ+Xl5xG90LVvIGqKSlEupKwtxr4PLwK7DqBQ1LkOxwpzUDhzGh6P8166PdP7IYaHmjkR/yjLwuIIIHDRflxgKzEp0l385+Ltkw9KT1LqM/Hc1zMwdlkRahAg2VqQi/W/zcIRzvTpGXg073vU5Sfjz1PbIqT4FBirxtG5/0XRXXORJsSxbb+LulMGd89mbJWLMfePL2PtiCLJ349+iI1/SEZyWS2qsv7sxdiR/GAZE4Hu1PPp1Ge6RAR+JQQY/RGBlkKgKpWNRSxLLK6XNWpg9aWpLCXGzAAwIJSFPL6Cpaa+w3bXNTLGaln5KxEMoU+x5aeFc+GvgdXmxrNQJLKpRy1s/8IQhojFLKuB385iiyPAAhftZw0N0rE5JZ9Vy7cbj05lwxHBorJOylf4xzGWPyuIKdMy9r0kf/hqtpsXz5M7fUr5wdOeXs5SzGYWuvIoE1UTbb+VxeZY5JzcDiUPpVC5bNG2ekkPFQdleXXS/bFb2RFBhFh2L0VZArYslh4m6HOYVW7uq2Eqy1JytKui1EOSI/C1c2rMY6vjzY5zMZ9Dt4MXtT6Q5SlsaShOZBGquOCFO6cV7LD7l/uH292QxRYFBtp9K8nVYy7EznleiP1TiI1485P2WHOc/yzGnFm+J8WQEK+y7xrz2Kp+HVlszndeTsdjRVZRYfsFdoFVC37EZJZadV46lv3nbLfShzqxZJe7l50QY2MaS624aOfCD1zXHcaYU93mueQ6LOrJK6l8z9uxY/cD5/YZ2/LXQAYeH1wl+iQCRKBVE6Dvvb+SLzi+aaYZ7XqkIX1PAxorspDxr4l41jYf8+bdjbh7nkFGVQPqTtUBvboiqj0PZTOComMwTHjIX9tgyGz/64LQUU5pq7XgOLog+oZr1Hmtn+Pz7XXyY2T5BTxTJ2kJwfGfYHE3pSVIqs3BB8vOIfQB+TF5cALuTL4aNVs+QZENsFaU4mPcjKgb+BpIbodCjfoCbE9Lw5Ilc7FqRh+pbMVtDOuHIcGcQwjCbwkBRN1MylSwlhVgm/UwChJCHMsmApIwu9qKn059j5NfVWiYhqPHbV1VMjyd2JnafsKPR4GQW8IQYs8kyzv+E8plbvb0PM3VHRHSltvCL7r4bEpaJxH9MKRnB/mqGe26dEcvMXa0y1XkWdvHh+E+kbHyPECMudHWYhSU/SjO7n6Ysg6bHz+EokOVsH6xDZv++zASB1zn5XQ8ap2MMnChPUKC3cwI6zI14/o/jMOTEa9iXpdAcanNtNWOF01d1h232lyU6nBEV0R34tPXcgYvx47wxEXyw6Vwc2sM3SQCRMAHCBjsWXzAElKxVRPwC0/EI7OewaQXq9FYkYoJ5WmYueEgjA1tvYdGeozMpBfthMfnwr/Hl4akl6DWW62oebgHAsS3ybsifkkdkJuBeXk/eFTQVpmGid3jkPhVW5xGB1TFbkGesHyh2X/yS4TcBvnzwuxe/GF3syW3zowWVJRcRMzQ3vLLe5rz6wfjj3F7UXToCE6Un0LILf+DPwy8CTVFB/GfQ8Uo5ANmb6e7wrBZ5+lYuOc0qvak483xX+PM3CQkdRmJpE9PX2FNmlpcI85UlKOI+6Gp2Sk9ESACrYYADXxbjStbmyFW1O0aijCT9MKZ0jq/8HvwpzuEt7EDEHxNEHD4GErFl9mEVFbUlRRhF0IQEiyvV1RmPmuBRe89LTmNX3AIIlCBkpOnlLkAc1/0vTcIF/MPYa+n2V11TsBWiC2LCuW37RWDZmE9a8xB8SW3s12i8Ad8hdKTfOsybocg7DyO7VyPNVcvRuaaFDwzaxbS7v0tTD9cVJdkX1MqXLag8ksL8IebESWuFHEkNUfGYqS5SJqNdFyWj4LQ+eYuGqaVOLrvmFNKQxf8OuLaHoDly2rFHsKyvIiOLWCt5QEUHuGDNqs4ODqM7ojqopkNFXYDWHGbY0Zee+7XH4P/Eo6atfMxX9g1YHBXhPYeiPjMTDy7rsYxYPZ2OkNO8HaitgiLScGYcVl446Swrngn3i48BpuruuO2+EAECXX4+DGUfK+ZZfdq7PyI/e//Bx1VTx7cKkY3iQARaKUEaODbSh3r+2aZETRoIh6PeQsrn8tQvNxWg/JNs/HvDUNxz5BeiBwxBhMsi5G2IE/cecFWlYGF8wthmfAgJnfriG639kbo8V14dXcVbMJOBhnL8aabjWb9uo3H5LHfojRji7hdmq3qJTw1OAABs79C98QRiM19AdNWHhYHcbaqtVg6qp3HvWuFR6yb8xNw3/191Vt9tRuBP4+5Edb1edjQdgrGzfoSBQuXI6PqZ9iq1uO1NcX2l9tEf547ioIvhJ0XBAaT8YwwY6z8q3kHyzM+QYntZ1TnTsczS25B7F//iGjIe85+e1pakhF8D5LmXY+a1MVIFndykHarGBvQG3G59QhNmIgUO9OfUf3xAryRqSlLWa67Y7+BSHj4fxCyeBEe2lUFG87Kut2A3n+PR88r0QJxu4UX6a5txKnTZ+UdAwTFP0PR+s3ijgb22ElJwmTVC4rabcu054KcINz8+76I+KQARSHdER36G/iFRuPWkLex4/PxSBzAH697O507+N6+dx7HX+0Kk7Drhhg3Vpz5ogiHTvTCoN/fhN+4rDsfgu8X4qxRELoKddi8GhnrPoMFF1GdOwJxpn6Iy4v0Xuz8sFfaxmzwTfJLjc6a0BUiQAR+HQSuRLfz6yBJVnqfQLtRmLUxE5ldV+P56A7yetQw9HwvAUM+XonMAR3gFz4Hyw6mY1blSPT0N8E/fBXeHvY2dr14L3r7+SEofhm2PVeJ0uHh8Pd/EBPxOGb8xc3enX79ce9zq7C6z2IktfeHf/jzWN1/E3bNjUfnAUvwyju90G9+b3QyCWUtweoe2dg1NxahcLWdmbQWNHf4SEztz9eSclRyp29ZjAVZpxGbugMfxGVhQXgg/MM3ouSacHmgfBW6jX4V2UnvI0PkcCsG73sAk+dFIfT4PhQckwe2ob0xrDIJPf0D0Xn8dQh5dwOyhl8H4BpE3jMKYw9PRJy/8IMG16PfY2/igynFeEuU1w6dE224sD1bSh/8MP5pZxqIznPaImRIW650Ez/bonPSDux+51p0HhcOf1M7WbctyEu8EZezAWpER7Xd39+Bu+dEAcJyk3HbUC1a0hPdrtqNlSJzOXZEfyq3M/uPOFvo2MbshOZcQiLMpN8fCpjHDJXWAQcnIGF0kONcJue9dM7bpjXROU1MLsTha4q4CUD76DJUvLQS/x56HeCy7sQiWFWSWm+/8BQ889FjGL8zBp1MbdA5wQpsXI+s4Z29FDsX0eatdMX+yypl6IQIEIFfGQGT8Orer8xmMrelEhD2+uxciPPF7/zyG923VEa6egl7r0aj/2uzkVX2C/5Iga5uLfeisJ9t5EAL+lK8tVwnXVbNhAH47XjAPxNHhB/MuaxlkXAiQARaCoHLOeHSUmwkPYgAESACRIAIEAEiQASIwGV90kh4iUAzCBQge2B71a9eNUMIZSECRIAIuCYg/pLcrXhgg+YFUdc56A4RIAKthAAtdWgljiQziAARIAJEgAgQASJABNwToKUO7vnQXSJABIgAESACRIAIEIFWQoAGvq3EkWQGESACRIAIEAEiQASIgHsC/w/YeSdpbjxq0wAAAABJRU5ErkJggg==" alt></p>
<p style="text-align: left;">Show that the hydrochloric acid added to the flask in experiment 1 is in excess.</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>Draw the best fit line of \(\frac{1}{{\rm{t}}}\) against concentration of sodium thiosulfate on the axes provided.</p>
<p><img 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BBAAAEEEEAAAQSCIEBgEYRWoowIIIAAAggggAACCPhcgMDC5w1E8RBAAAEEEEAAAQQQCIIAgUUQWokyIoAAAggggAACCCDgcwECC583EMVDAAEEEEAAAQQQQCAIAgQWQWglyogAAggggAACCCCAgM8FCCx83kAUDwEEEEAAAQQQQACBIAgwQF4QWokyIhBAAQbIC2CjUWQEEPBUwIuxfTwtMJkjkEKAAfJSwLAYAQS8E/DiS9SLQcy8yNNUg5RvkMrqlS0GwTpmg3gceHe2JWcE/CFAVyh/tAOlQAABBBBAAAEEEEAg0AIEFoFuPgqPAAIIIIAAAggggIA/BAgs/NEOlAIBBBBAAAEEEEAAgUALEFgEuvkoPAIIIIAAAggggAAC/hAgsPBHO1AKBBBAAAEEEEAAAQQCLUBgEejmo/AIIIAAAggggAACCPhDgMDCH+1AKRBAAAEEEEAAAQQQCLQAA+QFuvkoPAL+FWCAPP+2DSVDAIGBEfBibJ+BqQl7jbpAqgHy5CSZpKSLk6RkEQII+F2grq7OKSkpcezv2l722ZbFT7W1tR3r3XT2np+fH5+sV59tey+mmpqajGfrRZ5WyCDlG6SyemWLQbCOWY6DjJ8KyRCBtAVSfcfTFSrqISf1D7VAY2OjSktLY3V0HMd+6Ss/Pz+2zNa5U319fexjQ0NDLI2btrm52U3COwIIIIAAAggg0K0AgUW3PKxEINgCc+bMiVWgtra2oyKVlZVqaWmRu85WWJBRVFQUe3Uk5AMCCCCAAAIIINALAQKLXmCRFIGgCVgQkc5Vh0WLFqmkpCRo1aO8CCCAAAIIIOAjAQILHzUGRUHAawG7UlFeXh7rDjVjxozY7myZXbGwV0FBgeyGLHtZOiYEEEAAAQQQQCBdAQKLdKVIh0DABSZNmhQLHOzqhAUV1vXJJvf+Crv3wq5uuPdXWKDh3p8R8KpTfAQQQAABBBDIggCBRRaQ2QUCfhCoq6uLBQ32bvdXuEGDdYGyYKK6urpTMcvKymRBSPy9GJ0SMIMAAggggAACCMQJMI5FHAYfEYiKgHVzsoDBngLlXrlIrLtdybCrHBUVFbJ7NeIn6yqVzlRTU5NOMtIggAACkRBgHItINHMkKplqHIvcSNSeSiKAQCcB6/Zkk91f0dPkpo1PZ1c4eprspOPFl+jChQsznq8XeZpPkPINUlm9ssUgWMdsEI+Dns6brEcg6AJ0hQp6C1J+BLoRsO5OY8eO7ZLCAgoLGOxqxezZs2M3a1u3p/jJvfeCp0XFq/AZAQQQQAABBFIJcMUilQzLEUgisHH5vfruTx/V2iTrBu1zjn550WRtuhaQJMEALLJuTBZcWPBgn22aN29e7GXzFlzYjdzWLcrSuEGEBR6WztYVFxcPQMnZJQIIIIAAAggETYDAImgtRnkHVGBwUYnO+eLjOuWe0fr5T4/WyPhrfluN1lYDWrquO7dAwW7KtsBh1qxZsQQWKNg9E+7jZi24sAH0bL1774Qts8DDDUa65swSBBBAAAEEEECgswCBRWcP5hDoXiB3W02cXqEf//UHWjboPB1bvE336X2w1p7uZK/uJusSlfhUqO7Ssw4BBBBAAAEEEEgUILBIFGEegZ4Ecot00k23qjXXb9cneio46xFAAAEEEEAAAe8E4jtyeLcXckYgVAI5ys0r0PC2V/TgkrfUHqq6URkEEEAAAQQQQKBvAgQWfXNjKwSkD/+lBfWrCCw4FhBAAAEEEEAAAUkMkMdhgEBfBZrm69u/H62bLyoWfQq7ItqN4AyQ19WFJQggEF0BL8b2ia4mNR9IAQbIG0h99o1ARAW8+BL1YhAzL/K0Jg9SvkEqq1e2GATrmA3icRDRrwKqHSEBukJFqLGpKgIIIIAAAggggAACXgkQWHglS77hF8jdXFtvnquc8NeUGiKAAAIIIIAAAj0KEFj0SEQCBFIIjDhGPz9/ogZ/ttrZ0KSXnv4/ve9IantHT974LR201UhNOuVnemD5GtliJgQQQAABBBBAIKwCBBZhbVnqlVUBp+UpXfPlgzXx2Lmqb9mglX/+qY6feY+aJ03UVnXX6ISvXqclzRuzWiZ2hgACCCCAAAIIZFOAwCKb2uwrpAIb9M/7b9QPl2ynM64p0wFbvqHHqh5Qi76qH829X4/cfan2fv1e/e6Jd7hqEdIjgGohgAACCCCAgERgwVGAQL8FmrX8uZelMV9T+RkHabuVz+vPC5ukQw9V8S5DNWz07jpA/9RfG1eJaxb9xiYDBBBAAAEEEPCpAIGFTxuGYgVJYKM+Wf/pZwVuV8vypXpSedr76IkaM1hq/3C13lWett6MG72D1KqUFQEEEEAAAQR6J8AAeb3zIjUCSQQ+0v/d+g3tde4aXXLPhdr10Qqd+9sddfUz81UxoUl/vuY7Ounnbbr8yQd05eRtk2wfzkUMkBfOdqVWCCDQdwEvxvbpe2nYEoG+C6QaIE9OkklKujhJShYhgIAJtL+3xPnRlFH24CdHynPGn3mP0/BJq/PiDUc70ihnyhULnZWftkcKy6vzSE1NTcYdvcjTChmkfINUVq9sMQjWMctxkPFTIRkikLZAqu/43L7HKmyJAAKuQM6IL+qy+Ut09N9f1fubjVHx5/dW4RCp9fALdO9fxuqoL4zX8FxGvHC9eEcAAQQQQACB8AkQWISvTanRgAjkKHf4WH1u6thOe8/b90ua1mkJMwgggAACCCCAQDgFuHk7nO1KrRBAAAEEEEAAAQQQyKoAgUVWudlZ6ATaWvV+0wdqbWNc7dC1LRVCAAEEEEAAgV4JEFj0iovECHyspidv0YVnXaSbFjyq2791mEaMHKP9TrpWi5s+hgcBBBBAAAEEEIisAIFFZJueivdFwFn5iH54wXIdcPahWnvtBbr3gNu1rv1d1Uxr1EVzX9BHfcmUbRBAAAEEEEAAgRAIMI5FCBqRKmRPoK3+Ok24dpSW/PGrWn/HhZo75ipVHrGtPn72Gk24ZYL+dteJKsxecXy9J8ax8HXzUDgEEBgAAcaxGAB0dumJAONYpP1kXhIi0I3Ah88615Ye48y8/TlnVWxYik+dVXV3OZccU+qc+9BbTrRGqujGyXFiY3p0n6Jva70Ya8CLPK12Qco3SGX1yhaDYB2zHAd9O4eyFQKZEEg1jgVdoTyJ48g0tAJ5B+m7d/1IhxTkanCskjkarK217/dv0c+PGSVGqghty1MxBBBAAAEEEOhBgHEsegBiNQKdBXKUW3igyo6X1PqSHnx+uI6dcrxO7ZyIOQQQQAABBBBAIHICXLGIXJNT4YwJfPgvLahfpfaMZUhGCCCAAAIIIIBAcAUILILbdpQcAQQQQAABBBBAAAHfCBBY+KYpKAgCCCCAAAIIIIAAAsEVILAIbttRcgQQQAABBBBAAAEEfCNAYOGbpqAggRPI3Vxbb57Lk6AC13AUGAEEEEAAAQS8EGCAPC9UyTNCAo7aWlfo1eeX6vV//1tvN3/8Wd3ztMOuo7TTmN21715F2m5o9GJ4BsiL0J8BVUUAgbQEGCAvLSYSBUCAAfIyMRoIeSAQL/Dpu87zt5/nHJin2GBwNlhMslfegec7v31ldeQGz0s1eE48YV8+ezGImRd5Wt2ClG+QyuqVLQbBOmY5DvpyBmUbBDIjkOo7Pnr/jRqAKJAiBkHgUzU9NlvfOPtOrT7mav1x0TN6cdmbWrly5WevN7XsxWe06I9X65jVd2j6CZfp/rfcqxnZrV99fb1KS0tl/7tgL/tsy+KnxsbGTmks3axZs+KT8BkBBBBAAAEEEOhWgMCiWx5WIpBCoL1BC266R//c+xLdPmeWTjnyc5q42y4qLCz87LWLdpv4OR15yizNuf0S7f3P+1S16N9ZH/PCDRisFo7jxF75+fmxIMLWudO0adPU0tKiurq6WJrq6mrNmTNH5eXlbhLeEUAAAQQQQACBbgUILLrlYSUCKQTa16m5oUk6YC+N23pwikS2eLC2GrOb9lKTGprXZT2wsODAptra2o4yVlZWxoIId50FGHYFY8aMGSouLo6lKysrk70WLVrUsR0fEEAAAQQQQACB7gQILLrTYR0CqQQG76gJpXtLD92vP7+yJnZzRdKkzhq9+ujDWqi9VTphR3UXgiTdvp8LLYhobm7uNhc3eHCDCjexzbtBh7uMdwQQQAABBBBAIJVAbqoVLEcAgW4EcnbU4eddpDMeP0/f/vxrevTML2vynuO16/Zbfvb42U+0ekWDXn/qQd0y73mp9HqdfdiOA/5oWuvuZN2brDuUXaGwye0SVVRU1KnClsZdnxh0dErIDAIIIIAAAgggIInAgsMAgT4JDFbeXqfppodH6IBbqnTDr67Sn5PlM/Y4fffGh3XOaUdpr267TCXbOLPLJk2a1HHTdkVFhRIDiVR7cwOPVOtZjgACCCCAAAIImACBBccBAn0WGKy83b6s86//ks69qlmrVv1HK5vXf5bbFioYuYNGjChQXm5On/eQyQ3txmyb3KdE2Xv8vReZ3Bd5IYAAAggggED0BBggL3ptTo0RiHWHspu3GxoaYk9/mj17duxeDLf7kxHNmzdP9rQoe0KU3cgdP9njaNOZampq0klGGgQQQCASAgyQF4lmjkQl7XeAPW0yceKKRaII8whEQMANIOyeC7dLlHV5ir+XwtbZ5K6PZ0l2Molfb5/tpOPFl+jChQsznq8XeZpBkPINUlm9ssUgWMdsEI8DKzMTAmEWILAIc+tSN+8EnFa9/fIyvfdpursYrK1G76Hdtts83Q0yks4Gw7OAwa5MxE8WNFhwYUGDG2RY16j4wMLmbV38svg8+IwAAggggAACCMQLEFjEa/AZgXQF2ht0/xmHa+Y/WtPcYqym37dEd504Ks30mUlmN2lbcGFdneyzTdbFyV42b4GDGzxYGgsi7OWmcZ8clZnSkAsCCCCAAAIIhFmAwCLMrUvdvBMYvI9mPPiwci67UBf8tlVlV1+mU/bI62Z/QzRi/4Ju1nuzqqSkJHaPhN1PMWvWrNhOLHCw8S3ig4aqqqrYentylDvZekvHhAACCCCAAAIIpCNAYJGOEmkQ6CIwSENHfVHn3XSLPm4q00+e26Afff+b2mtoejc1d8nOwwXuKNrd7cKCDZ4Q1Z0Q6xBAAAEEEECgJwFG3u5JiPUIdCOQs/VB+p9rZmqfP1+vXzz6duoRuLvJg1UIIIAAAggggEAYBLhiEYZWpA4DKJCjYQeU696lh+u9ocO0kcFhBrAt2DUCCCCAAAIIDKQA41gMpD77RiDEAva4WcaxCHEDUzUEEOi1gBeP4O51IdgAgQwIMI5FBhDJAgEEeifgxZeoF2MNeJGnSQUp3yCV1StbDIJ1zAbxOOjdGZTUCARPgHssgtdmlBgBBBBAAAEEEEAAAd8JEFj4rkkoEAIIIIAAAggggAACwRMgsAhem1FiBBBAAAEEEEAAAQR8J0Bg4bsmoUAIIIAAAggggAACCARPgMfNBq/NKLEfBDYu1U3HztbbRxylwz43SRP3m6BRefw5+aFpKAMCCCCAAAIIDIwAVywGxp29Bl0gJ1+7HSQt/smZOnbyPtplqz11xLd/qtvnP6GlbzRrgxP0ClJ+BBBAAAEEEECgdwIEFr3zIjUCmwQG7aKpP/6Dnl/1npbX1eqe33xDuy2/S+ecNEX77Tpaex9xumbd+Ac99uwyNbW2oYYAAggggAACCIRegAHyQt/EVDB7Am1qfftVPf/88/rbE4/o/jseUH2rpLxiHXfmKTrnvG/r2N3yslecAd4TA+QNcAOwewQQ8J2AF2P7+K6SFCgSAqkGyJOTZJKSLk6SkkUIIJBcoN359MOVzrJnHnXuvmGWM/3wA53p972VPGlIl3p1Hqmpqcm4mBd5WiGDlG+QyuqVLQbBOmY5DjJ+KiRDBNIWSPUdz92mkYgrqWT2BXKUm1eo3T5nry/p1PM/0YZP+HPLfjuwRwQQQAABBBDIlgC/dLIlzX6iLZCzmYZuHm0Cao8AAggggAAC4Z2Sn/8AACAASURBVBbg5u1wty+1QwABBBBAAAEEEEAgKwIEFllhZicIIIAAAggggAACCIRbgMAi3O1L7RBAAAEEEEAAAQQQyIoAgUVWmNkJAggggAACCCCAAALhFiCwCHf7UjsEEEAAAQQQQAABBLIiwAB5WWFmJ8EVcNTW2qxVH34ita1Tc/M6bRpHe5CGblOgrTdPEZtvXKfmD9y0cbXP3Vo7jR2t7Yam2C4uadA/MkBe0FuQ8iOAQKYFGCAv06LkN1ACqQbI43GzA9Ui7NeHAu3a0PKWlr34gupfWqqXXqjXU/Mf2TR6dkZLu72Kjzlahx6wv/bdbz8VH3iA9hq1tcL4x+jFl+jChQuV6Xy9yNMOmSDlG6SyemWLQbCO2SAeBxn9KiEzBHwoEP7/NvUhOkXym8CnWr18seZefpoOHTtNP13QKI06TKd875e6f/n7+vDTdhuKPjOv9vVqaXpB835+gU46ZCc5r92nK044QJ+bdrnmLl6u1W2O33AoDwIIIIAAAgggkJZAGP+TNK2KkwgBE3Ba/6WFt/5Y331khGZe9H3Nr5ioXfI8/LPIGarhO+4Ue+26Z7EmTy3T2RVr9daLi/XA7TP15eoT9Isfna7PFzKaHkcoAggggAACCARLgCsWwWovSptBAaf1Jd1xwcV6oOA7WrzgF/r2McXeBhWpyp67tXaZdLwu+M2fdO+pju46/ULNfXWNuHaRCozlCCCAAAIIIOBHAQILP7YKZfJeYMP/6e5L7tKn/3Orbjrr8yr0w83UOVtq1OQZuvmuk/TuT69SdeNH3juwBwQQQAABBBBAIEMCBBYZgiSbIAms1dL/vVuryy/XjEk7+Oym6RzlFh6hS34xVa9dd49e3cB1iyAdWZQVAQQQQACBKAsQWES59SNad+e9Ov191Ld07sThyvGlgQUXJZr13QL9va7ZlyWkUAgggAACCCCAQKIA41gkijCPAAIZEWAci4wwkgkCCIRIINOPyg4RDVUJmECqcSzsEZpdJntYDhMCCPROgL+bzl5eedTU1HTeUQbmvMjTihWkfINUVq9sMQjWMctxkIGTH1kg0EeBVN/xHj5XM2ChF8WNoMDHenvx73TvC6t7UfcxKv32iZqY14dehK1Lde+tz2vEyd/UEaMSHyfbrtal83Ttne+p5Ir/0eT8wb0oU/dJ58yZI3vV19fHEhYVFWnGjBmqqKjo2HDRokUqLS3tmHc/5Ofnq7mZ7liuB+8IIIAAAgggkFqAwCK1DWsiIOCsXqo5F9+sf6Zd13Ldd+rx6QcWba16f9WH+tTyf69e9118hybsM0V75A5L2OOnWvnM/bryV2u07RlnaXL+lgnr+zZrAUV5eXksiKirq4tlMnv2bM2aNSv22Q0u3KCjoaFBFngwIYAAAggggAACvRUgsOitGOlDJLC5djnxOv1l0Q469fjZWlH2a827ulTbd3dHd84Wyt8h/T8bZ+3fdd0Rx2v2663/dTt6nK7671znT+Mv1d67DO28rB9zFlhYoFBZWdmRiwUTdoXC1rmBRWNjYywdQUUHEx8QQAABBBBAoJcC6f9C6mXGJEcgGAKbq/DI7+m221bq6FNu1V0nl+gXU0dm7GlROQWHaeavLtV//vC62te/pafnLdPwY6Zor207/+kNyh+tPXfeUaOnnKTDMtgNyr1KkdgW1sXJgomWlhbZZws0SkpKEpMxjwACCCCAAAIIpC3Q+ddN2puREIEwCQxT0YnnadZXj9HZP/mjTp38PRUP6+6yRW/qPkSFU3+gO6ZKavmrrtvyEY36wY918m6ZuyrRm9K4aa3rk12dsKDCggsLMuxVUFAQm7d0dh9GVVWVuwnvCCCAAAIIIIBAtwJ9uAO12/xYiUAwBYbsoem3LVTdTVO1fXu7N3XIn6yL7qgc8KDCukBZEGGBg03u/RXujdqO49hj4WJpkt3Q7Q0OuSKAAAIIIIBA0AUILILegpQ/QwI5yt1uvIqL99aovMw9kSlDhctYNhZE2I3bZWVlHfdXWBcoCySqq6s77cfSuPdidFrBDAIIIIAAAgggkESAAfKSoLAIgTAK2FUKuwJhXaBqa2t7rKIFIZMmTYoFIPE3f9uGNjBOOlNNTU06yUiDAAIIREKAAfIi0cyRqCQD5PVxABA2C59A+3vPOo/UfeC0+7xq7WuWOovrP8hIKaurq52ioiKnpKQk7fzq6uocGwCnsrIy7W3iE6YaPCc+TV8+ezGImRd5Wt2ClG+QyuqVLQbBOmY5DvpyBmUbBDIjkOo7nq5QkYgrqWS8QM52I+U8/Dstbvo4frG/Pre9rYXXL5EzZpt+l8vGsZg2bZqKi4uTXqmwcS3sfx6s21P85N57wdOi4lX4jAACCCCAAAKpBAgsUsmwPLwCOTtr6pmj9chVv1PdKh8GF20r9PhVV+kvk6dpSkH/7vewoMJu1rb7JRLvoXAb2G7itu5RFmC4kz0pat68ebEbvC0gYUIAAQQQQAABBHoSILDoSYj1IRTIUe4ux+rK7wzRb751teYvXyPr8zPwk6O2VXX63cUX6fejz9OlUwr7NZ6GBQcWVNhkQYJdlUh82VUJexqU3XNh7+76sWPHxsa14HGzA39UUAIEEEAAAQSCIsA4FkFpKcqZYYHBytvrNN34yxrd8L2v66Ep/6PvTjtC+xYO69eP+b4W0tnwjl549Le6tvIf2vfqn+s3pWM0NL37o1Pu0gIFe9pTOpNdsUh1RSOd7UmDAAIIIIAAAggQWHAMRFhgsPKKvqxL79lbT//hN/rhF3+mYSecrK9OmaT9dh+v0aNGKC+3n7/uU+q2a0PL22pcvlwv/32Bfnfzsxp2ynn6/oMzddAABTcpi8oKBBBAAAEEEEAgDQECizSQSBJugZyhu+jQsyr10Dea9PLf/qqn//JHXXrZfP25Pk+Hl31eu+86XuNGDJWz+l96Zuk7+jTGMVjbjC/WfiO3SIrT/lnatsS1beu1YUi+Nl/5tB5ZNlLHnXmsjj7kK/rZX67WPgQUiVrMI4AAAggggECABAgsAtRYFNVbgZyhhdr3iGmx17k/vk6r323SypXN+uij97Vi1TptXDtIaz7ZWp/EipGrbYrGqWj7zZMWyvlwkNZ2pHWTDNKQLbfVrvsfpsP2v0X3FG7r4RURd5+8I4AAAggggAAC2RFggLzsOLMXBCInYDeCM0Be5JqdCiOAQDcCDJDXDQ6rAiVg3/HJ7uPkikWgmpHCIhAsAS++RBcuXKhM5+tFntZSQco3SGX1yhaDYB2zQTwOgnUGp7QI9F6Ax8323owtEEAAAQQQQAABBBBAIEGAwCIBhFkEEEAAAQQQQAABBBDovQCBRe/N2AIBBBBAAAEEEEAAAQQSBAgsEkCYRQABBBBAAAEEEEAAgd4LEFj03owtEEAAAQQQQAABBBBAIEGAp0IlgDCLQJ8F2lrV1NiolR9uGkKvcz6DtdXoPbTbdsnHveicljkEEEAAAQQQQCB4AoxjEbw2o8Q+FHBaX9Id55+hs+/8R4rSjdX0+5borhNHpVgfvsWMYxG+NqVGCCDQP4FMPyq7f6VhawT6LsA4Fn23Y0sEehBo1UtzL9XZd76rA6dfqfIv76n8ITkJ2wzRiP0LEpaFf9aLL1EvxhrwIk9r3SDlG6SyemWLQbCO2SAeB+E/61PDqAvQFSrqRwD1z4BAixrqX5cKT9NV11+qqQWDM5AnWSCAAAIIIIAAAsES4ObtYLUXpfWlwBYavuNwKXeYhm3On5Qvm4hCIYAAAggggIDnAvwK8pyYHYRfYFt9YfoMHdeyUPNrG7XBCX+NqSECCCCAAAIIIJAoQFeoRBHmEei1wMd665X/09odXtavThin24qP0fF7bavOUfsw7XPOlbpo8ohe584GCCCAAAIIIIBAEAQILILQSpTR5wIbtf4/y/REQ2usnK31j+ju+sQiT1B5WbLH0CamYx4BBBBAAAEEEAimAIFFMNuNUvtKYEtNvGCBnAt8VSgKgwACCCCAAAIIZFWAwCKr3Ows1ALOWv37qRo9tuhpPfdGi9oH5Wv0fvvr4MO/pKkTtxd/bKFufSqHAAIIIIBA5AUYIC/yhwAAGRFw3tWTPzlLx/xkgTZ1iIrPdX+d8du7dcs399TQ+MUh/8wAeSFvYKqHAAK9FvBibJ9eF4INEMiAQKoB8uQkmaSki5OkZBECCDhOm/PB45c5E5TvFH/7dueZxg+c9e2O43z6obPylYedq48b6yjvG87ty9ZFCsur80hNTU3GHb3I0woZpHyDVFavbDEI1jHLcZDxUyEZIpC2QKrv+M4PrslABEMWCERPoEUv1izQ6/nT9eOfTNfndi3QUBt4OzdPhXt9WRdfOVNfaF2ie596S+3Rw6HGCCCAAAIIIBARAQKLiDQ01fRSYL1Wv7taKthZhQWJd1LkaLPtd9I4NamheR2BhZfNQN4IIIAAAgggMKACBBYDys/OwyGwjUbvUyQ1PKWnX12bUKU2vVf/V9VqvCYXjdDghLXMIoAAAggggAACYRFI/O/VsNSLeiCQRYGttO8Jp+vrPztNM8vO1YeXn6rD9thBw9pW681/PKybLvmVmiZcpm8evpOshxQTAggggAACCCAQRgECizC2KnXKskCOhoz9mn7xwCq1n3O5Lpv+h077zzv8Yt3z64s0pYDrFZ1gmEEAAQQQQACBUAkQWISqOanMwAlsrsLDZuruF76mK15drsZ3VuuTQVtqxK7jtMfuu2q7ofQ6HLi2Yc8IIIAAAgggkA0BAotsKLOPiAjkKDdvZ+158M7aMyI1ppoIIIAAAggggIArwAB5rgTvCPRGYONy3fvda/TY6LP0y4sO1Kp7f6yfPtrUTQ7DtM85V+qiySO6SROuVQyQF672pDYIINB/AQbI678hOfhDgAHy0h7yg4QIpCHQ9qJzw/55Tl75Q857Tqvz4g1HOzZYTOrXBKf8oXfSyDjzSaqqqpzi4uKOshUVFTmVlZWddtTQ0OCUlJR0pLF6VFRUdErT25lUg+f0Np/E9F4MYuZFnlbuIOUbpLJ6ZYtBsI5ZjoPEsyPzCGRPINV3PB2//RH4UYqgCQyeqAte+FAf3voVjdCWmnjBAhuuvpvXa7r1KyOzXss5c+aovLxcJSUlHWWbMWOGZs2apdmzZ3eUZ9q0aWppaVFdXV0sXXV1tdxtOxLxAQEEEEAAAQQQ6EaAwKIbHFYhkJ5Am95fulDzH3hK/95g/+mfMG34t578/e36Q/0HsUsaCWs9nbXgoKioSJWVlR37qaioiAUats6mxsZG1dfXywKO4uLi2LKysjLZa9GiRR3b8QEBBBBAAAEEEOhOgMCiOx3WIZCWwAa9WXuNTjrhbv2jZWOXLZxVz+k3p52jK5a8oa5ruyTP6AK7AtHQ0NAlz/z8/FhAYVcp3ODBDSrcxDbvBh3uMt4RQAABBBBAAIFUAgQWqWRYjkC3Am167+HvqiAnRzk5W2nSxU9IqtJJI4fIbmiKfw3a5RTdqzHaZ4et5Zc/OLtCYVcy3ADDqmrz8ZOts8mCCyYEEEAAAQQQQKAnAR4325MQ6xFIKpCr7aeep9tmrdODKz/SB68u0SP1eTq87GDtskVi+DBMhZOO1VknFPkisLAuUBYsxHePSlrFzxYSWHSnwzoEEEAAAQQQcAUILFwJ3hHorcCQcTrxmv/ViVqnpTd+TY8sG6Nzf1ShyaNHqTDPRtlepzfqX9FHI/fRHoXDlNPb/D1Ib1cq7MZtu3/C7rVgQgABBBBAAAEEMiXAOBaZkiSfaAs4a/Tq3ZfrzP/5m6Y8+JhmH7GdtPEV3Xr4YTr3xc/pigfm6PIjd9ZARvJ25aG0tDTW5am2trajvdwnRDU3N8e6Rrkr5s2bJ3talD0hygKR+Mm6eqUz1dTUpJOMNAgggEAkBBjHIhLNHIlKMo5F9h7ty54iJ9DmfPD4Zc4E5TnjT57tLGho3STQvsZpfPIu55IpoxzlfcO5fdm6AZOprq52bPwKG6sicbJxLux51HV1dZ1WpVreKVE3M6mecd3NJmmt8mKsAS/ytMoEKd8gldUrWwyCdcxyHKR1yiQRAp4IpPqOT+wMHokoi0oikFmBFr1Ys0Cv539Tlb+8UEcXbbkp+5yttevkb+qq6y/WF1qX6N6n3lJ7ZnecVm42joVdebCnPMVfqXA3tjEubLJuUvGTzdsN3IlPi4pPw2cEEEAAAQQQQMAVILBwJXhHoM8C67X63dVSQZFGbz8kIZccbbb9ThqnJjU0r8t6YGFBhd2sbV2ZrEtTssmeBmXBgw2Y5wYX1g3KXja2BRMCCCCAAAIIIJCOAIFFOkqkQaBbgW00ep8iqeEZPb98XULKjWp+6VnVarwmF42Q3dKdrcnGqHAHwbMgIf4RuO5nN5CoqqqK3XsxadKkWDq7wmHBSLpPjspWndgPAggggAACCPhXYCDvJfWvCiVDoFcCW2nf407RV39yti4+Y7g+/N4pmjy+QEOcdWqqf0S3XnuLmiZ8V988fKesPhnKujE5TpKRwJPULVU3qSRJWYQAAggggAACCCQVILBIysJCBHojkKMhu52qWx5ZqwvPuVyXfH1up43zDr9Y9/z6Ik0pyOb1ik5FYAYBBBBAAAEEEPBcgMDCc2J2EA2BzVV42Hf1x5dO1hVLX1PjO6v1yaAtNWLXcdpj91213VB6HUbjOKCWCCCAAAIIRFeAwCK6bU/NMy3QtlYrGt/V+txtVDh6m025t63Wm688rbplr2rl2K/prM9tl+m9kh8CCCCAAAIIIOALAQbI80UzUIigCzgtz+gXZ5yli//8eoqqTFD5Q4/r1q+MTLE+fIvtBnEGyAtfu1IjBBDouwAD5PXdji39JcAAeZ4MD0KmCJjAemfZ7WWOVOgcOH2Wc2X5FCdPo5zDyy9zLi8/yhmrfOfAigXOyk/bI8WVavCc/iJ4MYiZF3laPYOUb5DK6pUtBsE6ZjkO+ns2ZXsE+i6Q6juejt/+CgApTSAFmrX8uZel/Gm64tqrdFnFmTpSbdrsoFP141vu1X03lui1+QtVv6otkLWj0AgggAACCCCAQDoCBBbpKJEGgW4FNuqT9Z9KBTursCBXOduP0b6jmvTyspVqzRmufb9yrI78559026I3ld7DX7vdGSsRQAABBBBAAAFfChBY+LJZKFSwBLbUiNHbS80r1NTcJm0xQmP2KFTTsnf0gUUSuZtpqN7WK/9Zo43BqhilRQABBBBAAAEE0hYgsEibioQIpBIYromlUzWhpVpXVszRMx9sqz0P2116fL7+8PCTevz+h7RQY3XQqIKsjrydqrQsRwABBBBAAAEEvBAgsPBClTwjJjBIWx/6bc297gitvvMJvdaylSaddamuOLBelx33RZXO/L0+nVKu84/aJasjb0esEaguAggggAACCAywAONYDHADsPuQCOTsoM9//069cPJ/9PGOmys3t0SXz1+iL/39Fb2rkTrgkAO0Sx4jb4ektakGAggggAACCCQRILBIgsIiBPomkKu8nXdS3mcb5w4fq89NHdu3rNgKAQQQQAABBBAImAAD5AWswSiujwWcj9T0whNasORJPffyGo0750pduOPzmvPySH3tuIkakZvj48JnvmgMkJd5U3JEAIFgCzBAXrDbj9L/V4AB8vo+BghbItCzQPsq55lry5yxij1R1pHGOtPv+7fzwWPfd/I1yplyxUIGyOtZMa0UXgxi5kWeVpkg5Ruksnpli0GwjlmOg7ROmSRCwBMBBsj7b5DFJwQyLLBRzUtu0JkXP6+9rn1Cb/7lGm3qADVYBUfO1B8rxmrJlT/T3Lo1Gd4v2SGAAAIIIIAAAv4R4KlQ/mkLShJYgRa9WLNAr+d/Vd+afohGbhl361LuKJWe9U0dpaV67MUVjGMR2Dam4AgggAACCCDQkwCBRU9CrEegR4H1Wv3u6o6RtxOTD9pquHZUi5paP2bk7UQc5hFAAAEEEEAgNAIEFqFpSioycAJbaeRuo6T/vKZ/rfwkoRgb1fzSs6rVeE0uGsEAeQk6zCKAAAIIIIBAeAQILMLTltRkwAS20X7Hf13HqVqX/+hOPfNGszZqo9a3vKGlNb/WheffoqbxX9FJny9kgLwBayN2jAACCCCAAAJeC8R1Bvd6V+SPQFgFcjR0r9N16wPv6dTjy3XYnZvq+cY5h2mefRx/qq67q0LHFA4JKwD1QgABBBBAAAEExDgWHAQI9FvgYzX+vkKXvj5JM7++lza8/g+93NisT5SnHXbfWwdPPli7DY9eUME4Fv0+sMgAAQRCJsA4FiFr0AhXh3EsPHmKL5kiYAJvOfdNH+tozE+dZza0Q/KZQKpnXPcXyIuxBrzI0+oZpHyDVFavbDEI1jHLcdDfsynbI9B3gVTf8dxjEeFok6pnSmBb7fflozT+/Rf13D/e1QYnU/mSDwIIIIAAAgggEBwB7rEITltRUt8KDNaQ7XbRfoW/08zPz9MPi4/R8Xttq85R+zDtc86VumjyCN/WgoIhgAACCCCAAAL9ESCw6I8e2yIQE2hT86t/0bx/tsbmWusf0d31iTQTVF72aeJC5hFAAAEEEEAAgdAIEFiEpimpyMAJbKmJFyyQc8HAlYA9I4AAAggggAACAy3QubfGQJeG/SOAAAIIIIAAAggggEAgBQgsAtlsFBoBBBBAAAEEEEAAAX8JEFj4qz0oDQIIIIAAAggggAACgRRggLxANhuFRsD/AgyQ5/82ooQIIJBdAQbIy643e/NOgAHy+j4GCFsi0FWg/X1n2bPPO0vf+tBhSLyuPLYk1eA5yVOnv9SLQcy8yNNqFKR8g1RWr2wxCNYxy3GQ/nmTlAhkWiDVdzxdobwL5sg5zALvP6NflhyoE+9dpo3aoOX3ztLpZ/5Kf23Z6Otaz549WwUFBV3KuGjRItn/PiS+kqXtsjELEEAAAQQQQAABSTxulsMAgb4ItH2i9a3SRw3/0r+ahuvNV/+q395ZpC9+t0njNgxOkuNgbZG/nYYPHbhY3oIKeyWb6us3DbzR0NCgoqKiZElYhgACCCCAAAIIdCswcL9yui0WKxHwucAOB+irZ+2vpltP0R4jx+noq/4m6W6dvd8ojRw5MsnrC5r56DsDUqmWlhaVlpbK3ktKSpKWobGxMRZQEFQk5WEhAggggAACCKQhwBWLNJBIgkAXgUFjdMINf9DDBy3Qax9+pBVP3KEbHtle0y8/XvtsnSxe30yjxm7VJZtsLCgvL1d+fr4qKys1bdq0pLu0rlCpgo6kG7AQAQQQQAABBBBIECCwSABhFoF0BXLyJuiY8gk6Ruu0dLOndMNfxqvs/O/rKyOSdYVKN9fMp5sxY0a3QYNdybArFvayeyps3ibbrqqqKvMFIkcEEEAAAQQQCKUAgUUom5VKZVdgS028YIGc89fq30/N1y03P63n3mhR+6B8jd5vfx18+Jc0deL2A3ZDU09XItz7K+yqRnNzcweddZ+yV21tbccyPiCAAAIIIIAAAqkECCxSybAcgd4IOO/qyZ+cpWN+skCtXbbbX2f89m7d8s09NbTLuoFfYIHHpqfDdi5LWVmZrBvVnDlzYlcvOq9lDgEEEEAAAQQQ6CzAAHmdPZhDoA8CG9W8+Mc65Mhfa8tvX6ebLzle+40p0NCNrWpa9hfNvXSmLlt8sG6v/1+dtduwPuSfuU3sHgu7nyL+ykSq3O1KxqRJk1RRURG7PyM+nT2WNp2ppqYmnWSkQQABBCIhwAB5kWjmSFSSAfIyPTII+SHQIbDKefySYkf5M52H/vNpx9JNH9qdj1+80fmCCp2jbn/N2ZiwNtuzZWVlTn5+flq7rauriw1yV1lZmVb6xESpBs9JTNfbeS8GMfMiT6tXkPINUlm9ssUgWMcsx0Fvz56kRyBzAqm+45M9viYSkRaVRCBzAuu1+t3VUsHOKixI7F2Yo82230nj1KSG5nVqz9xOM5aTjW1h//NgVzLiJ/fei57u0Yjfhs8IIIAAAgggEF0BAovotj01z5jANhq9T5HU8JSefnVtQq5teq/+r6rVeE0uGiF/PS9qU1Ht6U82fkX84Hn2ZKh58+bF7q0oLi5OqBOzCCCAAAIIIIBAVwECi64mLEGglwJbad8TTtfX8x/UzLJz9dPfPaq/1tWr/tnHNf+Wi3Xy13+lpgkn65uH76T07kzo5e77mdyeBmVPfrJ3u3Jhr7Fjx8YeUcvjZvuJy+YIIIAAAghESCCx30aEqk5VEciUQI6GjP2afvHAKrWfc7kum/6HThnnHX6x7vn1RZpSMPDXK6qrqzuVzZ2xKxap1rlpeEcAAQQQQAABBLoTILDoTod1CKQtsLkKD5upu1/4mq54dbka31mtTwZtqRG7jtMeu++q7YZycTBtShIigAACCCCAQCAFCCwC2WwU2p8COcrN21l7Hryz9vRnASkVAggggAACCCDgmQDjWHhGS8YIRFvA7tVgHItoHwPUHgEEOgswjkVnD+aCK2Df8ckG1+WKRXDblJIj4HsBL75EFy5cqEzn60We1jhByjdIZfXKFoNgHbNBPA58f9KmgAj0U4CO3/0EZHMEEEAAAQQQQAABBBCQCCw4ChBAAAEEEEAAAQQQQKDfAnSF6jchGSDwmYDzkZpeeEILljyp515eo3HnXKkLd3xec14eqa8dN1Ejcv04igWthwACCCCAAAIIZEaAKxaZcSSXqAs47+vZX5yhyZOO0dkXz1bVb2v18qp1WtO4WD886TidfNUiNbU5UVei/ggggAACCCAQYgECixA3LlXLlsBGNS+5QWde/Lz2uvYJvfmXazQ2tuvBKjhypv5YMVZLrvyZ5tatyVaB2A8CCCCAAAIIIJB1AQKLrJOzw/AJtOjFmgV6Pf+r+tb0QzRyy7gehrmjVHrWN3WUluqxF1doY/gqT40QQAABBBBAAIGYAIEFBwIC/RZYr9XvrpYKdlZhQVxQ8Vm+f+xQUgAAIABJREFUg7Yarh3VoqbWj0VnqH5jkwECCCCAAAII+FSAAfJ82jAUK0gCq/XsT0/Q5yuLdM+rt+ikVTdqwqRbdch9S3TXiSPVXPMD7X30A5p63yLNPXEXReUWbgbIC9IxTFkRQCAbApkegycbZWYfCCQTSDVAno2a12WSki7uko4FCCBgAu3O+leqnOPy8pzxZ1Q5T/7pB84YjXHKbnvSefGxG5zp4/Mcjb/QeWjlJ5Hi8uo8UlNTk3FHL/K0QgYp3yCV1StbDIJ1zHIcZPxUSIYIpC2Q6ju+a7+NZGEJyxBAoBuBHA3d63Td+sB7OvX4ch1256akb5xzmObZx/Gn6rq7KnRM4ZBu8mAVAggggAACCCAQbAECi2C3H6X3jcDmKjzyUj26/Dg980ydXm5s1ifK0w67762DJx+s3YYTVPimqSgIAggggAACCHgiQGDhCSuZRkugTe8vXawn/z1M+x99iKacuK+mxANs+Lee/P1irZhwvL5evG1k7rGIJ+AzAggggAACCIRfgKdChb+NqaHnAhv0Zu01OumEu/WPlq4PlHVWPaffnHaOrljyBo+b9bwt2AECCCCAAAIIDJQAVywGSp79BlygTe89fJEmHHuDWjpq8oROGlnVMdf5wxgdv8PWIpLvrMIcAggggAACCIRHgMAiPG1JTbIqkKvtp56n22at04MrP9IHry7RI/V5OrzsYO2yRWL4MEyFk47VWScUEVhktY3YGQIIIIAAAghkU4DAIpva7CtcAkPG6cRr/lcnap2W3vg1PbJsvL7/6+v1lRGDw1VPaoMAAggggAACCKQhwAB5aSCRBIG0BNrW6u3lDXpvfXvn5M5HWrXsVa0c+zWd9bntOq8L8RwD5IW4cakaAgj0SYAB8vrExkY+FGCAvLSH/CAhAr0XaG/+m3PtcRMcGzAm+WuCU/7QO73POMBbpBo8p79V8mIQMy/ytHoGKd8gldUrWwyCdcxyHPT3bMr2CPRdINV3PF2hfBgFUqSgCWzQP++/Xhf/eY0OnD5Lx27xd/286l+aVH66Jus5/aHqeRVUXK8fHV0YtIpRXgQQQAABBBBAIG2BxLtM096QhAgg4Ao0a/lzL0v503TFtVfpsoozdaTatNlBp+rHt9yr+24s0WvzF6p+VZu7Ae8IIIAAAggggEDoBAgsQtekVCj7Ahv1yfpPpYKdVViQq5ztx2jfUU16edlKteYM175fOVZH/vNPum3Rm7F+UtkvH3tEAAEEEEAAAQS8FyCw8N6YPYReYEuNGL291LxCTc1t0hYjNGaPQjUte0cf2B0XuZtpqN7WK/9ZwwB5oT8WqCACCCCAAALRFSCwiG7bU/OMCQzXxNKpmtBSrSsr5uiZD7bVnoftLj0+X394+Ek9fv9DWqixOmhUgXgQbcbQyQgBBBBAAAEEfCZAYOGzBqE4QRQYpK0P/bbmXneEVt/5hF5r2UqTzrpUVxxYr8uO+6JKZ/5en04p1/lH7aKcIFaPMiOAAAIIIIAAAmkIMI5FGkgkQSA9gTa1rviPPt5xpLbNldpWN6ru76/oXY3UAYccoF3yonW9gnEs0jtqSIUAAtERYByL6LR12GvKOBZ9f1QvWyLQP4H2NU7j43c6t//1vf7lE7CtUz3jur/V8GKsAS/ytHoGKd8gldUrWwyCdcxyHPT3bMr2CPRdINV3PF2hwh5SUj8PBT5W07O/1eXTDtJWOSM1adrlmvvsSv33obLt2vD2k7r13GO075FX6S/vbfCwLOllPXv2bBUUFHRJ3NjYqNLSUtn/QLivWbNmdUnHAgQQQAABBBBAIJUAgUUqGZYj0K3ARrU8c6NOLT1dV897Xq1qUv28q3V26Xf0m6VrJWeN/u/eWfrSnl/UuVUN2qP8En3789t3m6PXKy2osFeyadq0aWppaVFdXZ0cx1F1dbXmzJmj8vLyZMlZhgACCCCAAAIIdBEgsOhCwgIE0hH4j56+a66W6CRd++TbWt/+iVpevkPThzygH9/+Jz14zak6+JRr9UThqbp2wWItvPlb+nzh5ulknPE0FjDY1Qh7Lykp6ZK/Xa2or6/XjBkzVFxcHFtfVlYmey1atKhLehYggAACCCCAAALJBAgskqmwDIGeBNqa9Pqi16Ujv6qTDt1ZQ3OGaPjeX9Hp3ypWy01n6/gfvqQDK/6kV/5+hy46eoKG5w7c86DsqkN+fr4qKyuT1soNHtygwk1k827Q4S7jHQEEEEAAAQQQSCVAYJFKhuUIpCOwzZYa2hEzDNU2I7aSNEbH3Xi//nzNSdorf0g6uXiaxq5EWNemVJMFDzYVFRV1SmLBiE3u+k4rmUEAAQQQQAABBBIECCwSQJhFoP8CU/SN4/dVXkfA0f8c+5NDsu5PvcmPwKI3WqRFAAEEEEAgugIEFtFte2rumcBmGjKAXZ88qxYZI4AAAggggAAC3QjkdrOOVQgg0JPA+tV6r6nps1Qf6f21n0hap9XvvasmxQ+IN1hb5G+n4UODF8sndpGyytojadOZFi5cmE6yXqfxIl8v8rSKBSnfIJXVK1sMgnXMBu046PXJjg0QCJgAgUXAGozi+kxg3tnab15imf6ms/e7O2HhWE2/b4nuOnFUwvKBn3UDB+vyFH8Dtz1FyiZ3fXxJ7ZG0PU0WfHgxyqz98Mt0vl7kaT5ByjdIZfXKFoNgHbNBPA56Om+yHoGgCxBYBL0FKf/ACORspVFfOkPT17anuf9h2mfE0DTTZjeZew+GPXI2PrCwebuBO35ZdkvG3hBAAAEEEEAgSAIEFkFqLcrqH4HBu+nkm+7Qyf4pUZ9LYlckLHiwwfPs3V7z5s2LveyJUkwIIIAAAggggEA6AsHr8J1OrUiDAAK9Eqiqqop1eZo0aVLs/gkbidsGyEs19kWvMicxAggggAACCERCgCsWkWhmKonAJoFU41nYVYra2lqYEEAAAQQQQACBPgtwxaLPdGyIAAIIIIAAAggggAACrgCBhSvBOwIIIIAAAggggAACCPRZgMCiz3RsiAACCCCAAAIIIIAAAq5AjpPkgfT2/Pkki91teEcAAQR6FLDzSE1NTY/pSIAAAghERSDTY/BExY16+k8gVazAzdv+aytKhEBoBLz4EvViEDMv8rRGDFK+QSqrV7YYBOuYDeJxEJqTOxVBIIUAXaFSwLAYAQQQQAABBBBAAAEE0hcgsEjfipQIIIAAAggggAACCCCQQoDAIgUMixFAAAEEEEAAAQQQQCB9AQKL9K1IiQACCCCAAAIIIIAAAikECCxSwLAYAQQQQAABBBBAAAEE0hcgsEjfipQIIIAAAggggAACCCCQQoBxLFLAsBgBBPonwDgW/fNjawQQCJ+AF4/gDp8SNQqCAONYBKGVKCMCIRPw4kvUi7EGvMjTmjJI+QaprF7ZYhCsYzaIx0HITvFUB4EuAnSF6kLCAgQQQAABBBBAAAEEEOitAIFFb8VIjwACCCCAAAIIIIAAAl0ECCy6kLAAAQQQQAABBBBAAAEEeitAYNFbMdIjgAACCCCAAAIIIIBAFwECiy4kLEAAAQQQQAABBBBAAIHeChBY9FaM9AgggAACCCCAAAIIINBFgMCiCwkLEEAAAQQQQAABBBBAoLcCDJDXWzHSI4BAWgIMkJcWE4kQQCBCAl6M7RMhPqrqIwEGyPNRY1AUBKIi4MWXqBeDmHmRp7VxkPINUlm9ssUgWMdsEI+DqJz7qWd0BegKFd22p+YIIIAAAggggAACCGRMgMAiY5RkhAACCCCAAAIIIIBAdAUILKLb9tQcAQQQQAABBBBAAIGMCRBYZIySjBBAAAEEEEAAAQQQiK4AgUV0256aI4AAAggggAACCCCQMQECi4xRkhECCCCAAAIIIIAAAtEVILCIbttTcwQQQAABBBBAAAEEMibAAHkZoyQjBBCIF2CAvHgNPiOAAAKSF2P74IrAQAikGiBPTpJJSro4SUoWIYBAGARqa2sd+7tPfOXn5/e5el6dR2pqavpcplQbepGn7StI+QaprF7ZYhCsY5bjINUZjeUIeC+Q6juerlADEeaxTwR8JlBfXx8rUUNDg/2vQserubnZZyWlOAgggAACCCDgVwECC7+2DOVCIIsCjY2NKioqir2yuFt2hQACCCCAAAIhEiCwCFFjUhUE+iqwaNEilZSU9HVztkMAAQQQQAABBERgwUGAQMQFWlpaZFcs7FVQUCC7Icte5eXlEZeh+ggggAACCCDQGwECi95okRaBEAq491fk5+fL7qlw77GwQKO0tDSENaZKCCCAAAIIIOCFAIGFF6rkiUCABKwLlAUT1dXVnUpdVlYm6yI1Z86cTsuZQQABBBBAAAEEkgkwjkUyFZYhgIDsSsakSZNUUVGhysrKTiLWVSqdqaamJp1kpEEAAQQiIcA4FpFo5khUMtU4FrmRqD2VRACBPgtYF6nEya5w9DTZSceLL9GFCxdmPF8v8jSfIOUbpLJ6ZYtBsI7ZIB4HPZ03WY9A0AXoChX0FqT8CPRTYPbs2bGbta3bU/zk3nvB06LiVfiMAAIIIIAAAqkECCxSybAcgYgIzJgxIzZ+hQUY7mRPipo3b55sXXFxsbuYdwQQQAABBBBAIKUAgUVKGlYgEA0B6+pUW1sre7fuS/YaO3ZsbFyLqqqqaCBQSwQQQAABBBDotwD3WPSbkAwQCL6Ajbqd+FSo4NeKGiCAAAIIIIBANgW4YpFNbfaFAAIIIIAAAggggEBIBQgsQtqwVAsBBBBAAAEEEEAAgWwKEFhkU5t9IYAAAggggAACCCAQUgEGyAtpw1ItBAZawG4CZ4C8gW4F9o8AAn4S8GJsHz/Vj7JER8C+45ONacXN29E5BqgpAlkX8OJL1ItBzLzI07CDlG+QyuqVLQbBOmaDeBxk/STMDhHIsgBdobIMzu4QQAABBBBAAAEEEAijAIFFGFuVOiGAAAIIIIAAAgggkGUBAossg7M7BBBAAAEEEEAAAQTCKEBgEcZWpU4IIIAAAggggAACCGRZgMAiy+DsDgEEEEAAAQQQQACBMAoQWISxVakTAggggAACCCCAAAJZFiCwyDI4u0MAAQQQQAABBBBAIIwCDJAXxlalTgj4QIAB8nzQCBQBAQR8JeDF2D6+qiCFiYwAA+RFpqmpKAL+EfDiS9SLQcy8yNNaIUj5BqmsXtliEKxjNojHgX/OzpQEAW8E6ArljSu5IoAAAggggAACCCAQKQECi0g1N5VFAAEEEEAAAQQQQMAbAQILb1zJFQEEEEAAAQQQQACBSAkQWESquaksAggggAACCCCAAALeCBBYeONKrggggAACCCCAAAIIREqAwCJSzU1lEUAAAQQQQAABBBDwRoBxLLxxJVcEIi/AOBaRPwQAQACBBAEvHsGdsAtmEciKAONYZIWZnSCAQLyAF1+iXow14EWe5hCkfINUVq9sMQjWMRvE4yD+/MhnBMIoQFeoMLYqdUIAAQQQQAABBBBAIMsCBBZZBmd3CCCAAAIIIIAAAgiEUYDAIoytSp0QQAABBBBAAAEEEMiyAIFFlsHZHQIIIIAAAggggAACYRQgsAhjq1InBBBAAAEEEEAAAQSyLEBgkWVwdocAAggggAACCCCAQBgFCCzC2KrUCQEEEEAAAQQQQACBLAswQF6WwdkdAlERYIC8qLQ09UQAgXQFvBjbJ919kw6BTAowQF4mNckLAQTSEvDiS9SLQcy8yNOAgpRvkMrqlS0GwTpmg3gcpHXiJBECARagK1SAG4+iI4AAAggggAACCCDgFwECC7+0BOVAAAEEEEAAAQQQQCDAAgQWAW48io4AAggggAACCCQTmD9/vlasWJFsFcsQ8EyAwMIzWjJGAAEEEEAAAQSyL9Dc3KzKykqdeOKJBBfZ54/0HgksIt38VB4BBBBAAAEEwiZQUFAgu2JhE8FF2FrX3/UhsPB3+1A6BBBAAAEEEECg1wI777yzHnvsMU2cOJHgotd6bNBXAQKLvsqxHQIIIIAAAggg4GMBu3Jx4403xoKLUaNG6emnn/ZxaSlaGARyw1AJ6oAAAukJ2IA22Zyyvb9s1o19IYAAAkETWLduXdCKTHkDJkBgEbAGo7gI9EfAcZz+bN6rbVONytmrTAKeGAMJAwzsz5jjYGAM1q9frx/96Ee69tpr9dRTT+mQQw4J+FmV4vtdgMDC7y1E+RBAAAEEEEAAgV4KWFBxwQUX6LbbbiOo6KUdyfsuwD0WfbdjSwQQQAABBBBAwHcCBBW+a5LIFIgrFpFpaiqKAAIIIIAAAlERyM/P19tvvy17OhQTAtkSyHGSdLqmL2S2+NkPAuEV4DwyMH2q/XZEcRxwHNgxyXGAgd/OTZSnfwKp/qbpCtU/V7ZGAAEEEEAAAQQQQAABSQQWHAYIIIAAAggggAACCCDQbwECi34TkgECCCCAAAIIIIAAAggQWHAMIIAAAggggAACCCCAQL8FCCz6TUgGCCCAQHKBJM/GSJ4wxEsxkDDAwP7EOQ5CfKKjah0CBBYdFHxAAAEEEEAAAQQQQACBvgoQWPRVju0QQAABBBBAAAEEEECgQ4DAooOCDwgggAACCCCAAAIIINBXAQKLvsqxHQIIIIAAAggggAACCHQIEFh0UPABgegKNDY2qrS0NDY6ro2maa9Zs2ZFFySh5rNnz1ZBQUGHj1nNmzcvIVXX2XS2q6+v72Rvedsyv03p1CVZmdPdztK5x56927zfpnTrkljudLZL/Bv063FQXl7eqZ2mTZsmK3u6U0tLi8aOHZu0fefMmaNJkyZ15J8qXbr78iqdlwaJfwfu34Q5MyEQCAEnybTp4QVJVrAIAQRCKVBcXOzYq66uLla/6upqJz8/35kxY0af6xuW84hZWF0qKio6LEpKSmLLGhoaOpYlfkhnO9venC0/dyorK4st6y5vN2223tOpS7KypLud1d9ezc3NsWyqqqpivpWVlcmyHZBl6dYlsXDpbGf1Lioqcqzt3cndrra21l004O/2N2DHq7WPTXaM2nnDyp7OZPW09Pb3lNi2bpvH/51ZmmRp09mXV2m8NLAy2zGQrqdXdSRfBNIRSPUdb48/6zKlStwlIQsQQCDwAvbjwP7m3R8LboUsqOjPF1xYziPJHFKZuXb2ns527o+U+O3cvON/YMWvH4jP6dQlWbnS2S7VD2gLNPpz/CUrT3+WpVOXZPmns521tf29WNvHT2ZgP8T9Mll7WH3iJzcgSCx7fBr7bOlse7e9EwOLVAGK344DLw3MKVn+iZbMI+AHgVTf8XSFCsR1JQqJgHcCixYtimVeXFzcaSc2b10c/Ngtp1NBPZ4xn0SboqIi2cu1S1aEdLarrKxUc3Nzss19tSyduiQrcDrbWRqzLCkp6ZRFbW2tGhoaOi0byJl06pKsfOls5xqYQ/xkx539/Vn3oYGe7Fxgr8Qyuu3WXddAq4N1rayuru6yvVuvurq6pO2dn58f228UDFzjxPONa8Q7AkEQILAIQitRRgQ8FLAvM5sSfzDYF7pN7vrYTMT+sR8zyX5MGYP7gycZSX+2s/7blveMGTOSZZ31Zf2pSzp2bhrrX2996q1Pud3P4qd7LLw26KlR/fA36P4HQ6rzhBmlmmwbCxz68oPZ9mvbu+ejVPvIxnKvDdz8LdB0763w299CNpzZR7AFcoNdfEqPAAJeC/jhR43Xdexr/n21Sbad3bTq/rCoqKjoEuj1tYxeb5esLuns093O3u1Hqb3sKoX9iDQHu3nZJrPw++TWpbfldLezH9zJ/sfffmAGZXLrkqy8FhT0JTCwYNPytSt7QZj6a+Bub8eDXd2xyZYF6W8hCO1EGb0V4IqFt77kjgACCKQlYP+j6zhO7H927QeV+2MirY0DnMgNKqqqqjqCKfthVVZW5qurFl4Su8GTXa1yJ+s65P7QdJdF6d2CSzOw48D1CXv9rZ52DoivrwXa1t0s6sdD2Ns+TPUjsAhTa1IXBDwQsC82puQCfbXpbjv3R7X9b3UQflh2V5fkapuWutvZu/1vttU7frLlFnS4V3Hi1/nts1uX3pbL3c7e7WqNtbfbBcbycn9g9uV/+3tblv6md+vS33xse3Owx6vG/899JvL1Oo9MGsSX1c03CH8L8eXmczQFCCyi2e7UGoEOAfdLK/FHrP2os8ld37FBhD7YDzqrf6KNEZhPKpu+bufSuj8k3TZwlw/Ee1/rku52qQzduroW7vxAvKdbl8Sy9WY7+xFtwYX9j7W9rPuPHXduHol5Z3veDfwS/xbcYzRT7WRdwuxqnR0X5uGnKVsGqeqcKeNU+bMcgUwIEFhkQpE8EAiwgPtUl8T/DbN5+yJzv0wDXMV+Fd18Em3sx5W9urNJZzv7AWU3LCdO9mPNLz8orWzp1CWxDuluZ4ZW38R7DMzXflz2FHgk268Xy7w0cAfQSyy3HXfWFcgPk9sWiYGFex9Id38L6ZbfuoK5Vyr8FlRYHbw2sPOB3aydOLl/C3YMMiHge4Fkz8JN9WzaZGlZhgACwRdwnyGfOEBef8ZSCMt5xH3ufvzz++3Z+jZQmDugW7IjIJ3tbPAzc4p/pr9tZ3nHL0uWfzaXpVOXZOVJdzs7/uLHa7DjMH4gtmR5Z3tZunVJLFc629kYEFbf+GPM2t/GNOjuGEvcl9fz7ngb7pg3Vu7EtuupDNa2ice8bWN1t+XxgwT2lNdArPfSINn5wLzsOHDNB6LO7BOBZAKpvuPtkmuXKVXiLglZgAACoRCwLy/7sWx/++4r/kdOXyoZpvOI/cizH36ujf2Ysh+M7mQ//mxd/I9jW9fTdpbG8om3tzz8+COip7r0x8Ac3B+W5ujXH1JeGthxYG3vHmN2TPQ06Jx7/GXr3do4vp2srInlTHUcuGVMFli427h1T/Zu2/lh8srArVtQzgdueXmProD9nSabcmxh4mUVu3ksyeLEZMwjgAACCCCAAAIIIIBAxARSxQrcYxGxA4HqIoAAAggggAACCCDghQCBhReq5IkAAggggAACCCCAQMQECCwi1uBUFwEEEEAAAQQQQAABLwQILLxQJU8EEEAAAQQQQAABBCImQGARsQanuggggAACCCCAAAIIeCFAYOGFKnkigAACCCCAAAIIIBAxAQKLiDU41UUAAQQQQAABBBBAwAsBAgsvVMkTAQQQQAABBBBAAIGICRBYRKzBqS4CCCCAAAIIIIAAAl4IEFh4oUqeCCCAAAIIIIAAAghETIDAImINTnURQAABBBBAAAEEEPBCgMDCC1XyRAABBBBAAAEEEEAgYgIEFhFrcKqLAAIIIIAAAggggIAXAgQWXqiSJwIIIIAAAggggAACERMgsIhYg1NdBBAIiUD765o7daRycnKUkzNSU+e+rvaQVK131XhfiysmfeaQo5EVi7W2dxmQGgEEEEAgQwIEFhmCJBsEEEAAAQQCI9D6uuZXTN0UkE25VPOXE44Fpu0oKAI+FiCw8HHjUDQEEECgJ4HCSx7XGmelas6aoGie0LfTEbPr5Kx5XJcU9qTF+k0CG7S8+gqd9365Vmz8WCvOX6vzfrpITfAggAAC/RSI5vdQP9HYHAEEEPClwNrFqhiZo5wp16u+NUnHqNj6THabWqvli+/Vdafv09EVKSdnqirmztfi3vwPeOtyLZ7/v6qY4nbtsjpUaO6D9WpKUo3+2rcvn6upU+dquQd5d1u2WPe1cWl2W/usi1d/ytlWr+vGWVe5hNe4m/Xh9GqtvP1E7TRogz5cvV7DdhyuLbstPCsRQACBngUILHo2IgUCCCAQLIEnrtVFt9ap1dNSf6J35l+qw097VIO/s1AbHUeOvT68SSXND+q0wy/U3Nd77l7T3lSrS489XKc92KqSqtc35eF8rJXXHazm+Wdo5JE/0eKmTzJYk3a1rnhDQ07+gsaF/Rswt1gX/euzdnHbx97/dZGKcyXFAo9ttMfZKzRt6u7Ky6AyWSGAQDQFwn5ajWarUmsEEIiwQKG+cPiuWnbxlbq1frV3Dmuf0o3nzdc+V/9AMw8q/G83rLzdVPq9H+jqfRbosjvqur+RuvU5/fIbp+vOopv1/B0XqnS3rT8r72YqLD5RF/36dl2rKp122cN6J2NXF5pVV/OeTjx0zH/L7J2Sv3P+LPDYuKJc/zntKj3Q1Obv8lI6BBDwvQCBhe+biAIigAACvRPI+8YPdONZb+rii+5I3iUqPrv2JtXPv06nWxeqz54wNaVibo9dmdrffUMvpuqUP2iCzqpZqZWzj5AbKsTvctPndq197gH98olDdXXFl7VTsm+jvEmacfkZ0tyf6cYn3u+aRV+WrH1JNa8epEPHDU2ydbvWLr5UI3NO0HXz58d18ZqqirueU9Pa5aq97nSNjDnto9Ovf7pzVy3r0jW3QlPcrkfWnWvx8rSuHLU31Wt+fN7X/VkvvPvxf8vodmO77k+q6Ug3UlMqfqf6pve1vPb6jjYcefqv9Vy3V3k2aPncUzu6ZA3aari2G1ag4Vsma4T/FoFPCCCAQE8CnEV6EmI9AgggEDSBweN0/JU/0VnLeuoStVr1v/yWjn1wC32n/uNN3ZA2Pq/LB9+rI/+/vfuPifq+4zj+urOxTYbUObN5p6vGEcAomxNGs+kqggXdXErOqsnmDwppWKPM6VAUtW1Wa0VdnVNXUyOVYvyjLRdTszlRETedgYDRaTcgzLqG3bnomg3IYs24W75w4HFyx11Fv+yb5x/G74/P9/P5fh6f5Lj3fX4VHooYlNgTslSY/yVVFyzSC7uOyh3lF+h7lEbPQbW8jgRNGjfy3uV+R3bFp83VMkejKk/+KXLvR7/nwp341N5Qq49cgw2DOqZ1exs0edMF+Y1hWWe+o/q8p+VMfl3XntmuNn+XOv5SLO38sTYf+1vPMr+d11S+cqGWnntKZR7D8jN5yp7SuaUZ+sGu+sjBRXfPzRLtvfWcaju65Pdf0KbJrfrNu9dCKuJV9bp6teRlAAAJ6ElEQVSDqpm8US1+v7o8Ffp2fYnSnHP0+rV0bW8zhqJd1VYdUG7EXp4nlLh4o5acW6QRRhCUXKFxR4uUEc9XghBwThFAIEYBPkViBCM5Aggg8P8gYB+/QD/f54o8JKr9kt5786aWrViidEfgy719vDLylii79qKueCLMbbBPlGtPlap3ztCpdT/SwqwkjTK+pBq/0rtr1TLQ5PFgON9t3bjskVISNCFu8D9F3ss3dPOBh0MZwcwlTZ00dpBhUKlav2WtXN1Ds0bKkfZdpTscyu4b9mVXXOLTmp3yT52o+6s6ZfS+HNXmU7O1b9uLAcuRcqS/pL1H8tS8bpfea7kTXPug40DPTfNibdmUq8Rui3glutZqy/rUoHQ9h471JdrkSu6eD2F3fFNz051S9hptWj1TDoMxLkGzZk+R90SDmiO1Qdw05Vdc7QkmPRVaEzyc7b5SuYAAAghEJzD4p3l0+ZAKAQQQQGBYCYzU+Nx12hdpSFR8pso8DSpL/1Q1brfcxr/yEmUlFag6mroY8ymKK+Tp8qjhWJWq3t+p5c07VLBwjpISX4xq8nY0xQxZGiOY+WiGctLGDFmWPRkFel9SZmhab4DWfcOuuAkJStF1NbeFm0rf+2xogBWnCUmTh/g9yQ4BBBB4uAIEFg/Xl9wRQAAB8wTsEwcZEtWupvICOUclKWtvnbqneo+er7ca3lZ2xC/DIVWyO5T6nEuu54tV4elSR3OV1iedUMHqD8Iv6Wofq0nTndLVVrVF+mU9UJRj+iSNe8C/WL7WP8o9NUNpgw75maykCTGskdTb+xLCcu/Uo8s3bg+8M/qgz97LRXIoJcnJ6k3BJBwjgMCwEnjAj+lhVRdeBgEEEEAgRKDfkKi6W/3u+lo+0OqCes2vuqGus2XKd7nkcj0j578/1tV+KUNPjMm/i2VzlqqmPXR8kjFM6HsqWDZLqv6dzreGGwI0Rmk52XJ4W3XjZrghV8aciNOq9KZqWc7XI0wED32/gc7vqPV8vaY+cD4D5N0bJA1wq+eSU9PDDb8a9NmwmXIDAQQQGHYCBBbDrkl4IQQQQGAoBYKGRL16QPV9WRv7ObTqqqZo5rSvBM05+K86/jXY/hNPKGHWPGV7q3Wy4dO+HO87yJ4XZvUlI6Vd8em5WptxXpvLfjvwcrKdDXr7tcNSfql+kjH2vuxjuuC7ofPuLz+EYVDGWwSCpKuXdK3faky9xpF6QHqfDe256VRb8/WYqkhiBBBAwGwBAguzW4DyEUAAgYct0Dsk6uNa1fYtEdu74tJ5VR7+Q2DZ1Lvy1h9U6ar96kvm86p+d+8Sq8bypu7uidn2xOe159A3VLn0Z9rlDtoh21i+tuIVFRb8Rzu3uZRol3zeC9rdtzt3jkrcTT2rJMWla+3RCuVdX6VvvbBbp/p2674rb6Nbu1YWaJ0KdWTrgsBytO1qcZcGlnMNyicav06PmjUpqoni0WTXP40RJP1QW589p1WlBwNLvfrU2VSpoqWHlbSzWIsTB1re1sjFrviMQu2bf1xLiyrV1D0szKjnm3ptR2P/YjhDAAEEhrkAgcUwbyBeDwEEEBgKgZ4hUSvlCM4sfpZ+erxM6RdXyDnC2MciVRt+P1Yrjr2v9YGEvtYT2vLhdB03lkHtOKbv1/9Ch+qNXop4Jee/pcbjizSmrjTwvE22Edn61a0Z2tJ8VMWpoyXdUeuJX+vDlEPqMJZpbZin+lXvqj4whMrueFbbzjTquCtOpwuTA3tpPC5ncZ3GuA7Lc+YVZQYmRBtDt4pWtauo7TMZm7rdXvVLVUe1qVu0y8wG48R4bKyytL9KR2Z/ohLn47LZRmjUS3/W7CO1Ol6cHnleRGCFrYqUGmWOGiGbLVmFdVNUtDM3xpcgOQIIIGCugM3v9/tDX8HYJGmAy6HJOEcAAQQQMEvA16Ty+ZnaPP2ImiJuRDeUL3hbNSV5OplzWGWZn3NokrHR24zTyrm0VZmDTqIO9+49vQErFzRrRW8+Rr7JWapcduYReoR7P64jgAAC1hYIFyvQY2Htdqd2CCCAwBAJ3JW3Zr/Kbud//vkOvr+rZvsB3d5R+ACbsXWqcVeWRk3ZqE8Wz9GUKPbAGCIAskEAAQQQGESAwGIQIG4jgAACw1nAuyNLT9qcyilvGng50yF5eSOoeEN5FZO0Z09uYL5DjBkbQcXmNapIeFl7XBODJovHmI/ilFp8Vv6uiyr6x6vacOyKakrSZHsySzv6JobEmifpEUAAAQSGQoDAYigUyQMBBBCwqkBnk9wlS7XhylwdfmeFkmPuIfCps8Wtkvkv60ruHr2TPy3yfIMIjr6WcuXklPfsjWH/gkaP/aLGjQ43KTpCRtxCAAEEEHgoAsyxeCisZIoAAghYQcCn9prNSs56494qUfqalledVYXrq1FW0JiXMU9Z/VY4KlSVZ59cjseizKM3mbGh3xplFpTLq2la/uYBbV89Uw5+IusF4n8EEEDgkQiEm2NBYPFI+CkEAQQQQAABBBBAAAFrCIQLLPidxxrtSy0QQAABBBBAAAEEEDBVgMDCVH4KRwABBBBAAAEEEEDAGgIEFtZoR2qBAAIIIIAAAggggICpAgQWpvJTOAIIIIAAAggggAAC1hAgsLBGO1ILBBBAAAEEEEAAAQRMFSCwMJWfwhFAAAEEEEAAAQQQsIYAgYU12pFaIIAAAggggAACCCBgqgCBhan8FI4AAggggAACCCCAgDUECCys0Y7UAgEEEEAAAQQQQAABUwUILEzlp3AEEEAAAQQQQAABBKwhQGBhjXakFggggAACCCCAAAIImCpAYGEqP4UjgAACCCCAAAIIIGANAQILa7QjtUAAAQQQQAABBBBAwFQBAgtT+SkcAQQQQAABBBBAAAFrCBBYWKMdqQUCCCCAAAIIIIAAAqYKEFiYyk/hCCCAAAIIIIAAAghYQ4DAwhrtSC0QQAABBBBAAAEEEDBVgMDCVH4KRwABBBBAAAEEEEDAGgIEFtZoR2qBAAIIIIAAAggggICpAgQWpvJTOAIIIIAAAggggAAC1hAgsLBGO1ILBBBAAAEEEEAAAQRMFSCwMJWfwhFAAAEEEEAAAQQQsIYAgYU12pFaIIAAAggggAACCCBgqgCBhan8FI4AAggggAACCCCAgDUECCys0Y7UAgEEEEAAAQQQQAABUwVsfr/fH/wGNpst+JRjBBBAAAEEEEAAAQQQQOA+gZAwQo+FpghNEHqfcwQQQAABBBBAAAEEEEAgVIChUKEinCOAAAIIIIAAAggggEDMAgQWMZPxAAIIIIAAAggggAACCIQKEFiEinCOAAIIIIAAAggggAACMQsQWMRMxgMIIIAAAggggAACCCAQKkBgESrCOQIIIIAAAggggAACCMQs8D9o0jW3wphsvAAAAABJRU5ErkJggg==" alt></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>A student decided to carry out another experiment using 0.075 mol dm<sup>-3</sup> solution of sodium thiosulfate under the same conditions. Determine the time taken for the mark to be no longer visible.</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>An additional experiment was carried out at a higher temperature, T<sub>2</sub>.</p>
<p>(i) On the same axes, sketch Maxwell–Boltzmann energy distribution curves at the two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2 </sub>> T<sub>1</sub>.</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(ii) Explain why a higher temperature causes the rate of reaction to increase.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest one reason why the values of rates of reactions obtained at higher temperatures may be less accurate.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>H<sub>2</sub>O <em><strong>AND</strong></em> (l)<br><em>Do <strong>not</strong> accept H<sub>2</sub>O (aq).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>SO<sub>2</sub> (g) is an irritant/causes breathing problems<br><em><strong>OR<br></strong></em>SO<sub>2</sub> (g) is poisonous/toxic</p>
<p><em>Accept SO<sub>2</sub> (g) is acidic, but do not accept “causes acid rain”.<br>Accept SO<sub>2</sub> (g) is harmful.<br>Accept SO<sub>2</sub> (g) has a foul/pungent smell.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>n(HCl) = «\(\frac{{10.0}}{{1000}}\)dm<sup>3</sup> × 2.00 mol dm<sup>-3</sup> =» 0.0200 / 2.00 × 10<sup>-2</sup>«mol»<br><em><strong>AND</strong></em><br>n(Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub>) = «\(\frac{{50}}{{1000}}\)dm<sup>3</sup> × 0.150 mol × dm<sup>-3</sup> =» 0.00750 / 7.50 × 10<sup>-3</sup> «mol»</p>
<p>0.0200 «mol» > 0.0150 «mol»<br><em><strong>OR</strong></em><br>2.00 × 10<sup>-2</sup>«mol» > 2 × 7.50 × 10<sup>-3</sup> «mol»<br><em><strong>OR</strong></em><br>\(\frac{1}{2}\) × 2.00 × 10<sup>-2</sup> «mol» > 7.50 × 10<sup>-3</sup> «mol»</p>
<p><em>Accept answers based on volume of solutions required for complete reaction.</em><br><em>Award <strong>[2]</strong> for second marking point.</em><br><em>Do <strong>not</strong> award M2 unless factor of 2 (or half) is used.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" alt></p>
<p>five points plotted correctly<br>best fit line drawn with ruler, going through the origin</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" alt></p>
<p>22.5 × 10<sup>-3</sup> «s<sup>-1</sup>»</p>
<p>«Time = \(\frac{1}{{22.5 \times {{10}^{ - 3}}}}\) =» 44.4 «s»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Accept value based on candidate’s graph.</em><br><em>Award M2 as ECF from M1.</em><br><em>Award <strong>[1 max]</strong> for methods involving taking</em> mean of appropriate pairs of \(\frac{1}{{\rm{t}}}\)<em> values.</em><br><em>Award <strong>[0]</strong> for taking mean of pairs of time values.</em><br><em>Award <strong>[2]</strong> for answers between 42.4 and 46.4 «s».</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)</p>
<p><img 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" alt></p>
<p>correctly labelled axes<br>peak of T<sub>2</sub> curve lower <em><strong>AND</strong></em> to the right of T<sub>1</sub> curve</p>
<p><em>Accept “probability «density» / number of particles / N / fraction” on y-axis.</em></p>
<p><em>Accept “kinetic E/KE/E<sub>K</sub>” but <strong>not</strong> just “Energy/E” on x-axis.</em></p>
<p> </p>
<p>(ii)</p>
<p>greater proportion of molecules have <em>E </em>≥ <em>E</em><sub>a</sub> or <em>E </em>> <em>E</em><sub>a</sub><br><em><strong>OR</strong></em><br>greater area under curve to the right of the <em>E</em><sub>a</sub></p>
<p>greater frequency of collisions «between molecules»<br><em><strong>OR</strong></em><br>more collisions per unit time/second</p>
<p><img src="data:image/png;base64,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" alt></p>
<p><em>Accept more molecules have energy greater than E<sub>a</sub>.</em><br><em>Do <strong>not</strong> accept just “particles have greater kinetic energy”.</em><br><em>Accept “rate/chance/probability/likelihood/” instead of “frequency”.</em><br><em>Accept suitably shaded/annotated diagram.</em><br><em>Do <strong>not</strong> accept just “more collisions”.</em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>shorter reaction time so larger «%» error in timing/seeing when mark disappears</p>
<p><em>Accept cooling of reaction mixture during course of reaction.</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;">
[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>