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<h2>SL Paper 1</h2><div class="question">
<p>Two pulses are travelling towards each other.</p>
<p><img src="data:image/png;base64,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"></p>
<p>What is a possible pulse shape when the pulses overlap?</p>
<p><img src="data:image/png;base64,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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A car moves north at a constant speed of 3m s<sup>–1</sup> for 20s and then east at a constant speed of 4m s<sup>–1</sup> for 20s. What is the average speed of the car during this motion?</p>
<p>A. 7.0m s<sup>–1 <br></sup>B. 5.0m s<sup>–1<br></sup>C. 3.5m s<sup>–1</sup> <br>D. 2.5m s<sup>–1</sup></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Light of wavelength 400nm is incident on two slits separated by 1000µm. The interference pattern from the slits is observed from a satellite orbiting 0.4Mm above the Earth. The distance between interference maxima as detected at the satellite is</p>
<p>A. 0.16Mm.<br>B. 0.16km. <br>C. 0.16m. <br>D. 0.16mm.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A boy jumps from a wall 3m high. What is an estimate of the change in momentum of the boy when he lands without rebounding?</p>
<p>A. 5×10<sup>0 </sup>kg m s<sup>–1</sup> </p>
<p>B. 5×10<sup>1 </sup>kg m s<sup>–1</sup> </p>
<p>C. 5×10<sup>2 </sup>kg m s<sup>–1</sup> </p>
<p>D. 5×10<sup>3 </sup>kg m s<sup>–1</sup></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Which lists one scalar and two vector quantities?</p>
<p>A. Mass, momentum, potential difference</p>
<p>B. Mass, power, velocity</p>
<p>C. Power, intensity, velocity</p>
<p>D. Power, momentum, velocity</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>An object is positioned in a gravitational field. The measurement of gravitational force acting on the object has an uncertainty of 3 % and the uncertainty in the mass of the object is 9 %. What is the uncertainty in the gravitational field strength of the field?</p>
<p>A. 3 %</p>
<p>B. 6 %</p>
<p>C. 12 %</p>
<p>D. 27 %</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The diagram shows an analogue meter with a mirror behind the pointer.</p>
<p><img src="data:image/png;base64,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"></p>
<p>What is the main purpose of the mirror?</p>
<p>A. To provide extra light when reading the scale</p>
<p>B. To reduce the risk of parallax error when reading the scale</p>
<p>C. To enable the pointer to be seen from different angles</p>
<p>D. To magnify the image of the pointer</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>What is the unit of power expressed in fundamental SI units?</p>
<p>A. <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mtext>kg m s</mtext><mrow><mo>-</mo><mn>3</mn></mrow></msup></math></p>
<p>B. <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mtext>kg m s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup></math></p>
<p>C. <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mtext>kg m</mtext><mn>2</mn></msup><msup><mtext> s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup></math></p>
<p>D. <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mtext>kg m</mtext><mn>2</mn></msup><msup><mtext> s</mtext><mrow><mo>-</mo><mn>3</mn></mrow></msup></math></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A student measures the radius <em>r </em>of a sphere with an absolute uncertainty Δ<em>r</em>. What is the fractional uncertainty in the volume of the sphere?</p>
<p>A. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\left( {\frac{{\Delta r}}{r}} \right)^3}">
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>r</mi>
</mrow>
<mi>r</mi>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mn>3</mn>
</msup>
</mrow>
</math></span></p>
<p>B. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="3\frac{{\Delta r}}{r}">
<mn>3</mn>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>r</mi>
</mrow>
<mi>r</mi>
</mfrac>
</math></span></p>
<p>C. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="4\pi \frac{{\Delta r}}{r}">
<mn>4</mn>
<mi>π</mi>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>r</mi>
</mrow>
<mi>r</mi>
</mfrac>
</math></span></p>
<p>D. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="4\pi {\left( {\frac{{\Delta r}}{r}} \right)^3}">
<mn>4</mn>
<mi>π</mi>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>r</mi>
</mrow>
<mi>r</mi>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mn>3</mn>
</msup>
</mrow>
</math></span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A ball of mass (50 ± 1) g is moving with a speed of (25 ± 1) m s<sup>−1</sup>. What is the fractional uncertainty in the momentum of the ball?</p>
<p><br>A. 0.02</p>
<p>B. 0.04</p>
<p>C. 0.06</p>
<p>D. 0.08</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A student measures the length <em>l</em> and width <em>w</em> of a rectangular table top.</p>
<p>What is the absolute uncertainty of the perimeter of the table top?</p>
<p> <img src="data:image/png;base64,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"></p>
<p>A. <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn><mo>.</mo><mn>3</mn><mo> </mo><mtext>cm</mtext></math></p>
<p>B. <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>0</mn><mo>.</mo><mn>6</mn><mo> </mo><mtext>cm</mtext></math></p>
<p>C. <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>1.2</mtext><mo> </mo><mtext>cm</mtext></math></p>
<p>D. <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>2.4</mtext><mo> </mo><mtext>cm</mtext></math></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The radius of a circle is measured to be (10.0 ± 0.5) cm. What is the area of the circle?</p>
<p>A. (314.2 ± 0.3) cm<sup>2</sup></p>
<p>B. (314 ± 1) cm<sup>2</sup></p>
<p>C. (314 ± 15) cm<sup>2</sup></p>
<p>D. (314 ± 31) cm<sup>2</sup></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>This question discriminated well at both HL and SL with many candidates choosing the correct option D. However, option B was also a popular choice particularly at SL. Candidates need to be aware that when performing a calculation e.g. the area as here, the uncertainty also has to be propagated - so a 5% uncertainty in the radius becomes a 10% uncertainty in the area. There were some comments on the G2s that the uncertainty should only have been given to 1sf but this is not always correct as uncertainties are given to the precision of the value, depending on the percentage calculated in the propagation.</p>
</div>
<br><hr><br><div class="question">
<p>Which is a unit of force?</p>
<p>A. J m</p>
<p>B. J m<sup>–1</sup></p>
<p>C. J m s<sup>–1</sup></p>
<p>D. J m<sup>–1</sup> s</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p><span style="background-color:#ffffff;">What is the unit of electrical potential difference expressed in fundamental SI units?<br></span></p>
<p><span style="background-color:#ffffff;">A. kg m s<sup>-1</sup> C<sup>-1</sup><br></span></p>
<p><span style="background-color:#ffffff;">B. kg m<sup>2</sup> s<sup>-2</sup> C<sup>-1</sup><br></span></p>
<p><span style="background-color:#ffffff;">C. kg m<sup>2</sup> s<sup>-3</sup> A<sup>-1</sup><br></span></p>
<p><span style="background-color:#ffffff;">D. kg m<sup>2</sup> s<sup>-1</sup> A</span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>The most popular answer was B giving a low discrimination index for this question. It should be a relatively straightforward question provided the candidate can remember which of ‘C’ or ‘A’ is the fundamental unit.</p>
</div>
<br><hr><br><div class="question">
<p><span style="background-color:#ffffff;">A student measures the radius <em>R</em> of a circular plate to determine its area. The absolute uncertainty in <em>R</em> is Δ<em>R</em>.</span></p>
<p><span style="background-color:#ffffff;">What is the <strong>fractional</strong> uncertainty in the area of the plate?</span></p>
<p><span style="background-color:#ffffff;">A. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{2\Delta R}}{R}">
<mfrac>
<mrow>
<mn>2</mn>
<mi mathvariant="normal">Δ</mi>
<mi>R</mi>
</mrow>
<mi>R</mi>
</mfrac>
</math></span></span></p>
<p><span style="background-color:#ffffff;">B. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\left( {\frac{{\Delta R}}{R}} \right)^2}">
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>R</mi>
</mrow>
<mi>R</mi>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</math></span></span></p>
<p><span style="background-color:#ffffff;">C. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{2\pi \Delta R}}{R}">
<mfrac>
<mrow>
<mn>2</mn>
<mi>π</mi>
<mi mathvariant="normal">Δ</mi>
<mi>R</mi>
</mrow>
<mi>R</mi>
</mfrac>
</math></span></span></p>
<p><span style="background-color:#ffffff;">D. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\pi {\left( {\frac{{\Delta R}}{R}} \right)^2}">
<mi>π</mi>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>R</mi>
</mrow>
<mi>R</mi>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</math></span></span></p>
<p> </p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p><span style="background-color:#ffffff;">An object has a weight of 6.10 × 10<sup>2</sup> N. What is the change in gravitational potential energy of the object when it moves through 8.0 m vertically?<br></span></p>
<p><span style="background-color:#ffffff;">A. 5 kJ<br></span></p>
<p><span style="background-color:#ffffff;">B. 4.9 kJ<br></span></p>
<p><span style="background-color:#ffffff;">C. 4.88 kJ<br></span></p>
<p><span style="background-color:#ffffff;">D. 4.880 kJ</span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>At SL, more candidates chose C with B the second most popular response. This question was about significant figures and candidates should be reminded that on the multiple choice paper they are not expected to perform detailed calculations. In this case 6.10 (to 3 sig figs) times 8.0 (to 2 sig figs) produces an answer to 2 sig figs giving B as the correct response. All answers are equivalent from a numerical point of view with the difference being the number of sig figs used.</p>
</div>
<br><hr><br><div class="question">
<p><span style="background-color: #ffffff;">Which quantity has the fundamental SI units of kg m<sup>–1</sup> s<sup>–2</sup>?<br></span></p>
<p><span style="background-color: #ffffff;">A. Energy<br>B. Force<br>C. Momentum<br>D. Pressure</span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A student measures the time for 20 oscillations of a pendulum. The experiment is repeated four times. The measurements are:</p>
<p style="padding-left:150px;">10.45 s</p>
<p style="padding-left:150px;">10.30 s</p>
<p style="padding-left:150px;">10.70 s</p>
<p style="padding-left:150px;">10.55 s</p>
<p>What is the best estimate of the uncertainty in the average time for 20 oscillations?</p>
<p>A. 0.01 s</p>
<p>B. 0.05 s</p>
<p>C. 0.2 s</p>
<p>D. 0.5 s</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>This question was well answered, although option B was a significant distractor for candidates focusing on the last significant digit.</p>
</div>
<br><hr><br><div class="question">
<p>What is the order of magnitude of the wavelength of visible light?</p>
<p>A. 10<sup>−10 </sup>m</p>
<p>B. 10<sup>−7 </sup>m</p>
<p>C. 10<sup>−4 </sup>m</p>
<p>D. 10<sup>−1 </sup>m</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>This question was correctly answered by the majority of SL candidates.</p>
</div>
<br><hr><br><div class="question">
<p><span style="background-color: #ffffff;">An object is held in equilibrium by three forces of magnitude <em>F, G</em> and <em>H</em> that act at a point in the same plane.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right:auto;margin-left:auto;display: block;" src="data:image/png;base64,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" width="218" height="192"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Three equations for these forces are<br></span></span></p>
<p style="padding-left:90px;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">I. <em>F</em> cos <em>θ</em> = <em>G</em><br>II. <em>F</em> = <em>G</em> cos <em>θ</em> + <em>H</em> sin <em>θ</em><br>III.<em> F</em> = <em>G + H</em></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Which equations are correct?<br></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">A. I and II only<br></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">B. I and III only<br></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">C. II and III only<br></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">D. I, II and III</span></span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The velocities <strong><em>v</em></strong><sub>X</sub> and <strong><em>v</em></strong><sub>Y</sub> of two boats, X and Y, are shown.</p>
<p><img src="images/Schermafbeelding_2018-08-12_om_09.03.42.png" alt="M18/4/PHYSI/SPM/ENG/TZ2/02_01"></p>
<p>Which arrow represents the direction of the vector <strong><em>v</em></strong><sub>X</sub> – <strong><em>v</em></strong><sub>Y</sub>?</p>
<p><img src="images/Schermafbeelding_2018-08-12_om_09.04.57.png" alt="M18/4/PHYSI/SPM/ENG/TZ2/02_02"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A stone falls from rest to the bottom of a water well of depth <em>d</em>. The time t taken to fall is 2.0 ±0.2 s. The depth of the well is calculated to be 20 m using <em>d</em> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{1}{2}">
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</math></span><em>at </em><sup>2</sup>. The uncertainty in a is negligible.</p>
<p>What is the absolute uncertainty in <em>d</em>?</p>
<p>A. ± 0.2 m</p>
<p>B. ± 1 m</p>
<p>C. ± 2 m</p>
<p>D. ± 4 m</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>What is the unit of power expressed in fundamental SI units?</p>
<p> </p>
<p>A. kg m s<sup>–2</sup></p>
<p>B. kg m<sup>2 </sup>s<sup>–2</sup></p>
<p>C. kg m s<sup>–3</sup></p>
<p>D. kg m<sup>2 </sup>s<sup>–3</sup></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Two parallel wires are perpendicular to the page. The wires carry equal currents in opposite directions. Point S is at the same distance from both wires. What is the direction of the magnetic field at point S?</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Which quantity has the same units as those for energy stored per unit volume?</p>
<p>A. Density</p>
<p>B. Force</p>
<p>C. Momentum</p>
<p>D. Pressure</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The length of the side of a cube is 2.0 cm ± 4 %. The mass of the cube is 24.0 g ± 8 %. What is the percentage uncertainty of the density of the cube?</p>
<p> </p>
<p>A. ± 2 %</p>
<p>B. ± 8 %</p>
<p>C. ± 12 %</p>
<p>D. ± 20 %</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Two sets of data, shown below with circles and squares, are obtained in two experiments. The size of the error bars is the same for all points.</p>
<p><img style="display:block;margin-left:auto;margin-right:auto;" 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"></p>
<p>What is correct about the absolute uncertainty and the fractional uncertainty of the <em>y</em> intercept of the two lines of best fit?</p>
<p><img 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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Which is a vector quantity?</p>
<p>A. Acceleration</p>
<p>B. Energy</p>
<p>C. Pressure</p>
<p>D. Speed</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A student wants to determine the angular speed ω of a rotating object. The period T is 0.50 s ±5 %. The angular speed ω is</p>
<p style="text-align:center;"><span style="background-color:#ffffff;"><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="\omega = \frac{{2\pi }}{T}">
<mi>ω</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<mi>π</mi>
</mrow>
<mi>T</mi>
</mfrac>
</math></span></span> </p>
<p>What is the percentage uncertainty of ω?</p>
<p>A. 0.2 %</p>
<p>B. 2.5 %</p>
<p>C. 5 %</p>
<p>D. 10 %</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>This question was well answered by candidates.</p>
</div>
<br><hr><br><div class="question">
<p><span style="background-color: #ffffff;">What are the units of specific energy and energy density?</span></p>
<p><img 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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A list of four physical quantities is</p>
<ul>
<li>acceleration</li>
<li>energy</li>
<li>mass</li>
<li>temperature</li>
</ul>
<p>How many scalar quantities are in this list?</p>
<p>A. 1</p>
<p>B. 2</p>
<p>C. 3</p>
<p>D. 4</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>A river flows north. A boat crosses the river so that it only moves in the direction east of its starting point.</p>
<p>What is the direction in which the boat must be steered?</p>
<p> <img src="images/Schermafbeelding_2018-08-10_om_15.46.12.png" alt="M18/4/PHYSI/SPM/ENG/TZ1/02"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>What is the unit of electrical energy in fundamental SI units?</p>
<p>A. kg m<sup>2</sup> C<sup>–1</sup> s<br>B. kg m s<sup>–2</sup><br>C. kg m<sup>2</sup> s<sup>–2</sup><br>D. kg m<sup>2</sup> s<sup>–1</sup> A</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>What is the best estimate for the diameter of a helium nucleus?</p>
<p>A. 10<sup>–21</sup> m</p>
<p>B. 10<sup>–18</sup> m</p>
<p>C. 10<sup>–15</sup> m</p>
<p>D. 10<sup>–10</sup> m</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The magnitude of the resultant of two forces acting on a body is 12 N. Which pair of forces acting on the body can combine to produce this resultant?</p>
<p>A. 1 N and 2 N</p>
<p>B. 1 N and 14 N</p>
<p>C. 5 N and 6 N</p>
<p>D. 6 N and 7 N</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>This question was well answered by HL and SL candidates. There was a higher number of blanks (no response) among SL students than is typical this early in the exam paper.</p>
</div>
<br><hr><br><div class="question">
<p>A student models the relationship between the pressure <em>p</em> of a gas and its temperature <em>T</em> as <em>p</em> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="x">
<mi>x</mi>
</math></span> + <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="y">
<mi>y</mi>
</math></span>T.</p>
<p>The units of <em>p</em> are pascal and the units of <em>T</em> are kelvin. What are the fundamental SI units of <em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="x">
<mi>x</mi>
</math></span></em> and<em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="y">
<mi>y</mi>
</math></span></em>?</p>
<p><img 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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>A</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Two different experiments, P and Q, generate two sets of data to confirm the proportionality of variables <em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math></em> and <em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi></math></em>. The graphs for the data from P and Q are shown. The maximum and minimum gradient lines are shown for both sets of data.</p>
<p><img style="display:block;margin-left:auto;margin-right:auto;" src="data:image/png;base64,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"></p>
<p>What is true about the systematic error and the uncertainty of the gradient when P is compared to Q?</p>
<p><img 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"></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Which of the following is a scalar quantity?</p>
<p>A. Velocity<br>B. Momentum<br>C. Kinetic energy<br>D. Acceleration</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>C</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>The graphs show the variation of the displacement <em>y</em> of a medium with distance <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="x">
<mi>x</mi>
</math></span> and with time <em>t</em> for a travelling wave.</p>
<p style="text-align: center;"><img 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"></p>
<p style="text-align: left;">What is the speed of the wave?</p>
<p style="text-align: left;"> </p>
<p style="text-align: left;">A. 0.6 m s<sup>–1</sup></p>
<p style="text-align: left;">B. 0.8 m s<sup>–1</sup></p>
<p style="text-align: left;">C. 600 m s<sup>–1</sup></p>
<p style="text-align: left;">D. 800 m s<sup>–1</sup></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>How many significant figures are there in the number 0.0450?</p>
<p>A. 2</p>
<p>B. 3</p>
<p>C. 4</p>
<p>D. 5</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>B</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Which is a vector quantity?</p>
<p>A. Pressure</p>
<p>B. Electric current</p>
<p>C. Temperature</p>
<p>D. Magnetic field</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>D</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br>