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<h2>HL Paper 2</h2><div class="specification">
<p><span class="fontstyle0">An equation for the combustion of propane is given below.</span></p>
<p style="text-align: center;">C<sub>3</sub>H<sub>8</sub>(g) + 5O<sub>2</sub>(g) <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABcAAAAPCAYAAAAPr1RWAAAAtklEQVQ4EWP4T0PAQEOz/w8yw//e+L/AL+h//f6n//8S8DYZLv/7/+P+uv+68n4ELSDD8P////99+n9/nd9/ZXmL/6nzr/z/jMMH5BkOMuzzlf8Lki3+K8tr/feqXvr/7POfGFZADX/8f0Oy4X9leQUKcO7/Dc9/o1hAD5ejWEgE5/3/s31B/5Xl/f7XrL9BzTD/+//z2Un/vWiSWsDpPOJ//9n3BH1IfpgTNPr/YMv+RLgYpgQAW3wPIx3NN5kAAAAASUVORK5CYII=">3CO<sub>2</sub>(g) + 4H<sub>2</sub>O(g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Determine the standard enthalpy change, </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi>H</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, for this reaction, using section 11 of the data booklet.</span></p>
<p> </p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the standard enthalpy change, </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi>H</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, for this reaction using section 12 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Predict, giving a reason, whether the entropy change, </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi>S</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, for this reaction is negative or positive.</span></p>
<p> </p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi>S</mi><mo>⦵</mo></msup></math> <span class="fontstyle0">for the reaction in </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math><span class="fontstyle0">, using section 12 of the data booklet.</span></p>
<p><span class="fontstyle0">The standard molar entropy for oxygen gas is <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>205</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math></span><span class="fontstyle0">.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the standard Gibbs free energy change, </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi mathvariant="normal">G</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, </span><span class="fontstyle4"><strong>in</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="bold">kJ</mi></math></span><span class="fontstyle0">, for the reaction at 5 °</span><span class="fontstyle0">C, using your answers to (b) and (d). Use section 1 of the data booklet.</span></p>
<p><span class="fontstyle0">(If you did not obtain an answer to (b) or (d) use values of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>-</mo><mn>1952</mn><mo> </mo><mi>kJ</mi></math></span><span class="fontstyle0"> and <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>+</mo><mn>113</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math></span><span class="fontstyle0"> </span><span class="fontstyle0">respectively, although these are not the correct answers.)</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Bonds broken</em>: 8(C–H) + 2(C–C) + 5(O=O) / 8 × 414 «kJ mol<sup>−1</sup>» + 2 × 346 «kJ mol<sup>−1</sup>» + 5 × 498 «kJ mol−1» / 6494 «kJ» ✔</p>
<p>Bonds formed: 6(C=O) + 8(O–H) / 6 × 804 «kJ mol<sup>−1</sup>» + 8 × 463 «kJ mol<sup>−1</sup>» / 8528 «kJ» ✔</p>
<p>«Enthalpy change<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>=</mo></math>bonds broken<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo></math>bonds formed <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>=</mo><mn>6494</mn><mo> </mo><mi>kJ</mi><mo>−</mo><mn>8528</mn><mo> </mo><mi>kJ</mi><mo>=</mo><mo>»</mo><mo>−</mo><mn>2034</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo> </mo></math> ✔</p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<p> </p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>4</mn><mo>(</mo><mo>−</mo><mn>241</mn><mo>.</mo><mn>8</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo></math> AND</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>3</mn><mo>(</mo><mo>−</mo><mn>393</mn><mo>.</mo><mn>5</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo></math></em> <em><strong>AND</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mn>1</mn><mo>»</mo><mo>(</mo><mo>−</mo><mn>105</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo></math></em> ✔<br><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi mathvariant="normal">Δ</mi><msup><mi>H</mi><mo>⦵</mo></msup><mo>=</mo><mn>4</mn><mo>(</mo><mo>−</mo><mn>241</mn><mo>.</mo><mn>8</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo><mo>+</mo><mn>3</mn><mo>(</mo><mo>−</mo><mn>393</mn><mo>.</mo><mn>5</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo><mo>–</mo><mo>«</mo><mn>1</mn><mo>»</mo><mo>(</mo><mo>−</mo><mn>105</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo><mo>)</mo><mo>=</mo><mo>»</mo><mo>−</mo><mn>2043</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo></math> ✔</p>
<p><em>Award <strong>[2]</strong> for correct final answer. </em></p>
<p><em>Award <strong>[1 max]</strong> for <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo mathvariant="italic">−</mo><mn mathvariant="italic">2219</mn><mo mathvariant="italic"> </mo><mo>«</mo><mi>k</mi><mi>J</mi><mo>»</mo></math>.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>positive <em><strong>AND</strong> </em>more moles «of gas» in products ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>4</mn><mo>×</mo><mn>188</mn><mo>.</mo><mn>8</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <em><strong>AND</strong></em> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>3</mn><mo>×</mo><mn>213</mn><mo>.</mo><mn>8</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <em><strong>AND</strong></em> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mn>1</mn><mo>×</mo><mo>»</mo><mn>270</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <em><strong>AND <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>5</mn><mo>×</mo><mn>205</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math></strong></em> ✔</p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mo>∆</mo><msup><mi>S</mi><mo>⦵</mo></msup><mo>=</mo><mn>4</mn><mo>(</mo><mn>188</mn><mo>.</mo><mn>8</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>+</mo><mn>3</mn><mo>(</mo><mn>213</mn><mo>.</mo><mn>8</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>–</mo><mo>[</mo><mn>1</mn><mo>(</mo><mn>270</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>+</mo><mn>5</mn><mo>(</mo><mn>205</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>]</mo><mo>=</mo><mo>»</mo><mn>102</mn><mo>«</mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo><mo> </mo></math> ✔</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mi mathvariant="normal">T</mi><mo>=</mo><mn>5</mn><mo>+</mo><mn>273</mn><mo>=</mo><mo>»</mo><mn>278</mn><mo> </mo><mi mathvariant="normal">K</mi></math> ✔</p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msup><mi>ΔG</mi><mo>⦵</mo></msup><mo>=</mo><mo>−</mo><mn>2043</mn><mo> </mo><mi>kJ</mi><mo>−</mo><mo>(</mo><mn>278</mn><mo> </mo><mi mathvariant="normal">K</mi><mo>×</mo><mn>0</mn><mo>.</mo><mn>102</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>=</mo><mo>»</mo><mo>−</mo><mn>2071</mn><mo> </mo><mo>«</mo><mi>kJ</mi><mo>»</mo></math> ✔</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</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>Many candidates had difficulty determining the number and type of bonds broken or formed and consequently this was the part of question 3 that was most poorly attempted. Those that could identify these bonds performed the calculations correctly.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Enthalpy calculations using enthalpy of formation data were generally well done.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most knew that entropy increased however some lost the mark by not including an explanation based on increase number of mol of gaseous products.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Calculating ΔS<sup>ө</sup>, like most other calculations, was well done.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ΔG<sup>ө</sup> calculations were also well done, with some not seeing that specific units were to be used.</p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Millerite, a nickel sulfide mineral, is an important source of nickel. The first step in extracting nickel is to roast the ore in air.</p>
</div>
<div class="specification">
<p>The reaction for the formation of liquid tetracarbonylnickel is shown below:</p>
<p style="text-align: left;"><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{\text{Ni(s)}} + 4{\text{CO(g)}} \to {\text{Ni(CO}}{{\text{)}}_4}{\text{(l)}}">
<mrow>
<mtext>Ni(s)</mtext>
</mrow>
<mo>+</mo>
<mn>4</mn>
<mrow>
<mtext>CO(g)</mtext>
</mrow>
<mo stretchy="false">→<!-- → --></mo>
<mrow>
<mtext>Ni(CO</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>)</mtext>
</mrow>
<mn>4</mn>
</msub>
</mrow>
<mrow>
<mtext>(l)</mtext>
</mrow>
</math></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate an equation for the oxidation of nickel(II) sulfide to nickel(II) oxide.</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>The nickel obtained from another ore, nickeliferous limonite, is contaminated with iron. Both nickel and iron react with carbon monoxide gas to form gaseous complexes, tetracarbonylnickel, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{Ni(CO}}{{\text{)}}_{\text{4}}}{\text{(g)}}">
<mrow>
<mtext>Ni(CO</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>)</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span>, and pentacarbonyliron, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{Fe(CO}}{{\text{)}}_{\text{5}}}{\text{(g)}}">
<mrow>
<mtext>Fe(CO</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>)</mtext>
</mrow>
<mrow>
<mtext>5</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span>. Suggest why the nickel can be separated from the iron successfully using carbon monoxide.</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 standard entropy change, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {S^\theta }">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>S</mi>
<mi>θ</mi>
</msup>
</mrow>
</math></span>, of the reaction, in <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{J}}\,{{\text{K}}^{ - 1}}">
<mrow>
<mtext>J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</math></span>, using the values given.</p>
<p><img 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"></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>Calculate a value for <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {H^\theta }">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>H</mi>
<mi>θ</mi>
</msup>
</mrow>
</math></span> in kJ.</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>Use your answers to (c)(i) and (c)(ii), to determine the temperature, in °C, at which the decomposition of liquid tetracarbonylnickel to nickel and carbon monoxide becomes favourable.</p>
<p><br>(If you did not get answers to (c)(i) and (c)(ii), use <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - 500{\text{ J}}\,{{\text{K}}^{ - 1}}">
<mo>−</mo>
<mn>500</mn>
<mrow>
<mtext> J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</math></span> and <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - 200{\text{ kJ}}">
<mo>−</mo>
<mn>200</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
</math></span> respectively but these are not the correct answers.)</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why experiments involving tetracarbonylnickel are very hazardous.</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{2NiS(s)}} + {\text{3}}{{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{2NiO(s)}} + {\text{2S}}{{\text{O}}_{\text{2}}}{\text{(g)}}">
<mrow>
<mtext>2NiS(s)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>3</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>2NiO(s)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2S</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>formation of «gaseous» pentacarbonyliron is slower<br><em><strong>OR</strong></em><br>«gaseous» complexes form at different rates<br><em><strong>OR</strong></em><br>gases have different rates of diffusion «due to difference in masses»<br><em><strong>OR</strong></em><br>difference in thermal stability of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in boiling points of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in solubility of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in surface affinity «onto solid absorbent»<br><em><strong>OR</strong></em><br>difference in chemical properties of «gaseous» complexes</p>
<p> </p>
<p><em>Accept any other valid answer.</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sum {S_{{\text{RHS}}}^\theta = 313.4{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } ">
<mo>∑</mo>
<mrow>
<msubsup>
<mi>S</mi>
<mrow>
<mrow>
<mtext>RHS</mtext>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
<mo>=</mo>
<mn>313.4</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</mrow>
</math></span><br><em><strong>AND</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sum {S_{{\text{LHS}}}^\theta = \ll (4 \times 197.6) + 29.9{\text{ J}}\,{{\text{K}}^{ - 1}} = \gg {\text{ }}820.3{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } ">
<mo>∑</mo>
<mrow>
<msubsup>
<mi>S</mi>
<mrow>
<mrow>
<mtext>LHS</mtext>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
<mo>=≪</mo>
<mo stretchy="false">(</mo>
<mn>4</mn>
<mo>×</mo>
<mn>197.6</mn>
<mo stretchy="false">)</mo>
<mo>+</mo>
<mn>29.9</mn>
<mrow>
<mtext> J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>820.3</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</mrow>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {S^\theta }\ll = \sum {S_{{\text{RHS}}}^\theta - \sum {S_{{\text{LHS}}}^\theta = } {\text{ }}313.4 - 820.3\gg = - 506.9{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } ">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>S</mi>
<mi>θ</mi>
</msup>
</mrow>
<mo>≪=</mo>
<mo>∑</mo>
<mrow>
<msubsup>
<mi>S</mi>
<mrow>
<mrow>
<mtext>RHS</mtext>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
<mo>−</mo>
<mo>∑</mo>
<mrow>
<msubsup>
<mi>S</mi>
<mrow>
<mrow>
<mtext>LHS</mtext>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
<mo>=</mo>
</mrow>
<mrow>
<mtext> </mtext>
</mrow>
<mn>313.4</mn>
<mo>−</mo>
<mn>820.3</mn>
<mo>≫=</mo>
<mo>−</mo>
<mn>506.9</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</mrow>
</math></span></p>
<p> </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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {H^\theta }\ll = - 633.0 - 4 \times ( - 110.5)\gg = - 191{\text{ }}\ll kJ\gg ">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>H</mi>
<mi>θ</mi>
</msup>
</mrow>
<mo>≪=</mo>
<mo>−</mo>
<mn>633.0</mn>
<mo>−</mo>
<mn>4</mn>
<mo>×</mo>
<mo stretchy="false">(</mo>
<mo>−</mo>
<mn>110.5</mn>
<mo stretchy="false">)</mo>
<mo>≫=</mo>
<mo>−</mo>
<mn>191</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mi>k</mi>
<mi>J</mi>
<mo>≫</mo>
</math></span></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>«when» <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta G = 0">
<mi mathvariant="normal">Δ</mi>
<mi>G</mi>
<mo>=</mo>
<mn>0</mn>
</math></span> «forward and backward reactions are equally favourable»</p>
<p>«when <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta G = 0">
<mi mathvariant="normal">Δ</mi>
<mi>G</mi>
<mo>=</mo>
<mn>0</mn>
</math></span>, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{T}} = \frac{{\Delta H}}{{\Delta S}}">
<mrow>
<mtext>T</mtext>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>H</mi>
</mrow>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>S</mi>
</mrow>
</mfrac>
</math></span>», <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{T}} = \ll \frac{{191{\text{ kJ}}}}{{0.5069{\text{ kJ}}\,{{\text{K}}^{ - 1}}}} = \gg {\text{ }}377{\text{ }}\ll {\text{K}}\gg ">
<mrow>
<mtext>T</mtext>
</mrow>
<mo>=≪</mo>
<mfrac>
<mrow>
<mn>191</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
</mrow>
<mrow>
<mn>0.5069</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>377</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>K</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p>«temperature =» 104 «°C»</p>
<p> </p>
<p><em>Award [3] for correct final answer. Use of –500 J K<sup>–1</sup> and –200 kJ gives 127 °C.</em></p>
<p><em>Award [2 max] for T < 104 «°C».</em></p>
<p><em>Accept ΔG < 0 and T > 104 «°C».</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CO is toxic/poisonous<br><em><strong>OR</strong></em><br>Ni(CO)<sub>4</sub> decomposition deposits nickel in the lungs<br><em><strong>OR</strong></em><br>tetracarbonylnickel is toxic/poisonous<br><em><strong>OR</strong></em><br>tetracarbonylnickel is highly flammable «auto-ignition temperature of 60 °C»</p>
<p><em><strong>[1 mark]</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.</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">c.iii.</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><span class="fontstyle0">Compound </span><strong><span class="fontstyle2">A </span></strong><span class="fontstyle0">is in equilibrium with compound </span><span class="fontstyle2"><strong>B</strong>.</span></p>
<p><span class="fontstyle2"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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" width="247" height="82"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Predict the electron domain and molecular geometries around the </span><span class="fontstyle2"><strong>oxygen</strong> </span><span class="fontstyle0">atom of molecule </span><strong><span class="fontstyle2">A </span></strong><span class="fontstyle0">using VSEPR</span></p>
<p><span class="fontstyle0"><img 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" width="734" height="185"></span></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><span class="fontstyle0">State the type of hybridization shown by the central carbon atom in molecule </span><span class="fontstyle2"><strong>B</strong>.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the number of sigma (</span><span class="fontstyle2"><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">σ</mi></math></span><span class="fontstyle0">) and pi (<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">π</mi></math></span><span class="fontstyle0">) bonds around the central carbon atom in molecule </span><strong><span class="fontstyle3">B</span></strong>.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The IR spectrum of one of the compounds is shown:</span></p>
<p><img src="data:image/png;base64,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" width="687" height="247"></p>
<p style="text-align: center;"><em><span class="fontstyle0">COBLENTZ SOCIETY. Collection © 2018 copyright by the U.S. Secretary of Commerce on behalf of the United States of America. All rights reserved.</span></em></p>
<p style="text-align: left;"><span class="fontstyle0">Deduce, giving a reason, the compound producing this spectrum.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Compound </span><strong><span class="fontstyle2">A </span></strong><span class="fontstyle0">and </span><strong><span class="fontstyle2">B </span></strong><span class="fontstyle0">are isomers. Draw two other structural isomers with the formula <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi mathvariant="normal">C</mi><mn>3</mn></msub><msub><mi mathvariant="normal">H</mi><mn>6</mn></msub><mi mathvariant="normal">O</mi></math></span><span class="fontstyle0">.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The equilibrium constant, </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>K</mi><mi mathvariant="normal">c</mi></msub></math><span class="fontstyle0">, for the conversion of </span><strong><span class="fontstyle3">A </span></strong><span class="fontstyle0">to </span><strong><span class="fontstyle3">B </span></strong><span class="fontstyle0">is </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup></math> <span class="fontstyle0">in water at <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi></math>.</span></p>
<p><span class="fontstyle0">Deduce, giving a reason, which compound, </span><strong><span class="fontstyle3">A </span></strong><span class="fontstyle0">or </span><strong><span class="fontstyle3">B</span></strong><span class="fontstyle0">, is present in greater concentration when equilibrium is reached.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the standard Gibbs free energy change, </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi>G</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, </span><span class="fontstyle5"><strong>in</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="bold">kJ</mi><mo mathvariant="bold"> </mo><msup><mi mathvariant="bold">mol</mi><mrow><mo mathvariant="bold">–</mo><mn mathvariant="bold">1</mn></mrow></msup></math></span><span class="fontstyle0">, for the reaction (</span><strong><span class="fontstyle5">A </span></strong><span class="fontstyle0">to </span><strong><span class="fontstyle5">B</span></strong><span class="fontstyle0">) at <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi></math>. Use sections 1 and 2 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Propanone can be synthesized in two steps from propene. Suggest the synthetic route including all the necessary reactants and steps.<br> </span></p>
<div class="marks">[3]</div>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Propanone can be synthesized in two steps from propene.</span></p>
<p><span class="fontstyle0">Suggest why propanal is a minor product obtained from the synthetic route in (g)(i).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Electron domain geometry: </em>tetrahedral<em> ✔</em></p>
<p><em>Molecular geometry: </em>bent/V-shaped<em> ✔</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>sp</mi><mn>2</mn></msup></math> ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">σ</mi></math>-bonds: <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn></math><br><em><strong>AND</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">π</mi></math>-bonds: <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>1</mn></math> ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>B <em><strong>AND</strong> </em><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">C</mi><mo>=</mo><mi mathvariant="normal">O</mi></math> absorption/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>1750</mn><mo>«</mo><msup><mi>cm</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <br><em><strong>OR</strong></em> <br>B <em><strong>AND</strong></em> absence of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">O</mi><mo>–</mo><mi mathvariant="normal">H</mi><mo> </mo><mo>/</mo><mn>3200</mn><mo>−</mo><mn>3600</mn><mo>«</mo><msup><mi>cm</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo> </mo><mi>absorption</mi><mo>»</mo><mo> </mo></math>✔</p>
<p><em>Accept any value between <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn mathvariant="italic">1700</mn><mo mathvariant="italic">−</mo><mn mathvariant="italic">1750</mn><mo mathvariant="italic"> </mo><mi>c</mi><msup><mi>m</mi><mrow><mo mathvariant="italic">−</mo><mn mathvariant="italic">1</mn></mrow></msup></math></em>.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Accept any two <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>C</mi><mn>3</mn></msub><msub><mi>H</mi><mn>6</mn></msub><mi>O</mi></math> isomers except for propanone and propen-2-ol:</em></p>
<p><img src="data:image/png;base64,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">✔✔</p>
<p> </p>
<p><em>Penalize missing hydrogens in displayed structural formulas once only.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">B</mi></math> <em><strong>AND</strong> </em><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>K</mi><mi mathvariant="normal">c</mi></msub></math> is greater than <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn></math>/large ✔</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi mathvariant="normal">Δ</mi><msup><mi>G</mi><mi mathvariant="normal">Θ</mi></msup><mo>=</mo><mo>−</mo><mi>R</mi><mi>T</mi><mi>ln</mi><mi>K</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>00831</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo> </mo><mo>(</mo><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi><mo>)</mo><mo> </mo><mo>(</mo><mi>ln</mi><mo> </mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup><mo>)</mo><mo>=</mo><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>−</mo><mn>46</mn><mo>«</mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✔</p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="569" height="90"></p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub><mi mathvariant="normal">O</mi></math>/water «and <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></math>» ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>CH</mi><mo>(</mo><mi>OH</mi><mo>)</mo><msub><mi>CH</mi><mn>3</mn></msub></math>/propan-2-ol ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi mathvariant="normal">K</mi><mn>2</mn></msub><msub><mi>Cr</mi><mn>2</mn></msub><msub><mi mathvariant="normal">O</mi><mn>7</mn></msub></math>/«potassium» dichromate(VI) <em><strong>AND</strong></em> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></math><br><em><strong>OR</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>KMnO</mi><mn>4</mn></msub></math>/«acidified potassium» manganate(VII) ✔</p>
<p><em>Accept <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>H</mi><mn mathvariant="italic">3</mn></msub><msup><mi>O</mi><mo mathvariant="italic">+</mo></msup></math>.</em></p>
<p> </p>
<p> </p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>primary carbocation «intermediate forms»<br><em><strong>OR</strong></em><br>minor product «of the water addition would be» propan-1-ol<br><em><strong>OR</strong></em><br>anti-Markovnikov addition of water ✔</p>
<p>primary alcohol/propan-1-ol oxidizes to an aldehyde/propanal ✔</p>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The majority of students got at least one of electron domain geometry or molecular geometry correct.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The vast majority of students could identify the hybridization around a central carbon atom.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The vast majority of students could identify BOTH sigma and pi bonds in a molecule.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates identified B having C = O and a peak at 1750.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A surprising number of candidates drew propanone here as an option, either failing to read the question or perhaps finding the structural formulae provided difficult to understand.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates identified B, the product, as being in greater concentration at equilibrium however some lost the mark because they did not include a reason.</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could apply the formula for Gibbs free energy change, ΔG<sup>Θ</sup>, correctly however some did not get the units correct.</p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The mean mark was ⅔ for the required synthetic route. Some candidates failed to identify water as a reagent in the hydration reaction, or note that dichromate ion oxidation requires acidic conditions. This was also the question with most No Response.</p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question regarding the formation of a minor product was not well answered. Many candidates struggled to explain the formation of propan-1-ol and to then oxidize it to propanal.</p>
<div class="question_part_label">g(ii).</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>Hydrogenation of propene produces propane. Calculate the standard entropy change, Δ<em>S<sup> </sup></em><sup>θ</sup>, for the hydrogenation of propene.</p>
<p><img src="data:image/png;base64,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"></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 standard enthalpy change, Δ<em>H </em><sup>θ</sup>, for the hydrogenation of propene is –124.4 kJ mol<sup>–1</sup>. Predict the temperature above which the hydrogenation reaction is not spontaneous.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S<sup> </sup></em><sup>θ</sup> =» 270 «J K<sup>–1</sup> mol<sup>–1</sup>» – 267 «J K<sup>–1</sup> mol<sup>–1</sup>» – 131 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<p>«Δ<em>S<sup> </sup></em><sup>θ</sup> =» –128 «J K<sup>–1</sup> mol<sup>–1</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.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«non spontaneous if» Δ<em>G </em><sup>θ</sup> = Δ<em>H </em><sup>θ</sup> – <em>T</em>Δ<em>S </em><sup>θ</sup> > 0<br><em><strong>OR</strong></em><br>Δ<em>H </em><sup>θ</sup> > <em>T</em>Δ<em>S </em><sup>θ</sup></p>
<p>«<em>T</em> above» <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{ - 124.4{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\gg }}{{ - 0.128{\text{ }}\ll {\text{kJ}}\,{{\text{K}}^{ - 1}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\gg }} = ">
<mfrac>
<mrow>
<mo>−</mo>
<mn>124.4</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mrow>
<mtext>1</mtext>
</mrow>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</mrow>
<mrow>
<mo>−</mo>
<mn>0.128</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mrow>
<mtext>1</mtext>
</mrow>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</mrow>
</mfrac>
<mo>=</mo>
</math></span>» 972 «K»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept 699 °C.</em></p>
<p><em>Do not award M2 for any negative T value.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.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">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Vanadium has a number of different oxidation states.</p>
</div>
<div class="specification">
<p>Electrode potentials for the reactions of vanadium and other species are shown below.</p>
<p style="text-align: center;"><img 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kFRNCJABIgAESACRMA/AVIq/POhq0SACBABIkAEiIBMAqRUyARF0YgAESACRIAIEAH/BEip8M+HrhIBIkAEiAARIAIyCfh8qZtde0p/RIAIEAEiQASGiwD1O8NFOvTl+CgV4fftj9BDoBKIABEgAkRgZAhIbaI0MtJQqXIJSCmCNP0hlyDFIwJEgAgQASJABPwSIKXCLx66SASIABEgAkSACMglQEqFXFIUjwgQASJABIgAEfBLgJQKv3joIhEgAkSACBABIiCXACkVcklRPCJABIgAESACRMAvAVIq/OKhi0SACBABIkAEiIBcAqRUyCVF8YgAESACRIAIEAG/BEip8IuHLhIBIkAEiAARIAJyCZBSIZcUxSMCRIAIEAEiQAT8EiClwi8eukgEiAARIAJEgAjIJUBKhVxSFI8IEAEiQASIABHwS4CUCr946CIRIAJEgAgQASIgl0BYKxVO+6fYkZMM9sMlUVEZ0Jta0eup2Q8WVKw2we45p1/5BIidfFbhGrO3FSZ9huvZmF8CU1t3v6TUvv0s6IgIEIFhJRDGSsUNtB9/C0eTq9DDONBjfgzNa/ejuds5rICoMCIQfgRuoO3wFqy9ko9Ox010ruvG2lc/IgU7/BqKJBptBJx2WPbpMZ8b6LoHu4YPYLHfGqCm3Wg7uQM5KjZNFKJUOag42dY/SBZJ7ewyIU+VAn3jFeHV3mZUzE9BnukrSPaGzlYYMhKQYWiVjiPMNWhnYaxUjEdi7kGcKkpFDBSI+YefI/XOoNWbMiICEUyAfTYOw1alQ5ziBnqufYc7p07C30VwjUaF6NyLXIWoDAPaJN/2o6KmY7QSt9BV+yoyq4GVZhscDAOHbQumfrwRmb8/DZ6t0IvPLXSZSqApvYzFTdfBsIPkpsW4XPoLZFY0iysWzq9Qu+U3MIiZ4mPux6KseBj2NqBd4j5ztn+GQy2PIT8jHsPdyQ++vEFrS070tjXBZOBreyrM1/8BRyx2ca3K2YXG1/fgyvYsTHgn3aXp3Z6CDXuXQsVpjPNRYembGOlvUFbGnF2w9EqQ748Z2BGbb8YLMHUNpJ0Glq0wNsupEQaPiVtUu72CRn0KolQlaBS14Livcy+5Xlgq5stk50SvZRdypG54oaABnLH57kBGngldQW6SAITAD5YKJPSNNNwjh6goJFRY8EMgGQUz7mCeJ3aaI2Ei7svrxLKMabDKbl8AkfxsdDdCr4qCSt8o/iLnrqtkjtIG8T7it/uAHK/BUrHC/6iSnx8dhy8B50XU7T2B5KxfIUut5DprhXIuCl5aj+Saj2AWfQcD6D6NXWv/DVmbC6FLjAXYQXLiL5CXNQdNlbUi1vdutFa/guKLU/CQKI3xSMj4JXJbTuB0+w2RGDfQfvoEWrJ0WBA3TuR6aIMGr1QMSlu6BXvjVmQmrcORq2nY2+MAwzBgHBZUPHAdpkw10ktOws7vcFiFYtN67EvYgp26+/C/ik650nxvRnm+ETY2PXMKReoYL1JX0Lh1My4sXozZMYOvplemrtOYFKzS34niLR+ErHN0dtWiQFOAj6dugc3B1vEmbLWpaMlZigJ/Zi9RgdnAGKjlsutuwtblbVj89Cx4U5XMXtYFBWLUWdBP2YsttX5Md7LyGnyk29RFaOfuG5Zr/397kRq3DT5br5Q30GZYhqj5O+QptYN5nm5To6idgaMzH//9bCW+WXFyTDwbXqCHcDqI95GgNDnvmElQr8rDlOJy1IZ0ECIQjE4GS4BT1FfDZBcZXvTaYG2ZhFnTpwhG/4qp0zEL9agzXxUvNTYNZTYzytKmiF8XhLIDryr886Yf4fWSJyXfv4q4h7Eiqws1R7/0tXR0f4aqTd+icNkcsCrMcP8NobcNVFtiYe3GM+nvI974Af5YlIFET2evUEKtK8TuYxuA1wqxietw2BGECfqFW/DFkp34Y+5MScC+0NiyarD13HLol9wjuAF84w4mRIFYTTZKOn+HXU1e812Dyc4nzQ201/0ZBmQiJ+9BKLlWGgdlah5e2nYfDGv3oklKK/bJK9CAa7C88wbOlazFkpBouVOgyVuOzpDWIdA6hyL+eCSu3IGGB08gc00NWge0lgXyPDnRZljRNxJXTJiEKXdOxqS/k/M4R/qzEay2CvR95F1uABxjH0Jeyf9g7S5/JnLv/Ok83Ag4L3XgnNh0BCeoDec6rohb2n0qcgv25iq8uukCct/MhyaW99z2mrGn6CDi39yAJff8yCdlf8BkpC57EvCxdDjRbf4INck6LJo9qT/6MB7xahN4qYFpS1fRfPggmrTrJTp61yh2c/Ed7k7zCpqrSrG93oDCB1SI5szVEhqkt+jOb1D/1kGMW/4QEvg1ZJ1sTBX9zjJR7LSLAY18z3ncgt1iQoVn1QnrUFP3PioyVEJzqyIeGfmzUVN2VOb8KTv98ARyTN94Syty7pozZ2ylSOPfcJ6Y9nZ0XArN1IuzqxFvVd6O5fOmC5Qxp90CU0WOe7rJ46DUiDZ+Z+nFV5WzA3Wm15ERJXQ2UiSkI39hPcreb5P3EPobPXiYeP067c3Y1zd1JNbOXglCcaqIQ1rJ77ANFUiToVjIf57GI3HZRiz/+CnXczFjH6a+u074cpKqTzg+G4NoX6nqyQ8P9H3EN58CkOIoKoBLYVxYswfvt4mZq0UTUWBYEXCit7MdLUOUydlmQEbUHVA9sBYnH12N/Add0yiubK/Bsuc1fPj4W9ipG2gwrEDM7IXISv5YaCFxfoOPDp7Bwvx0Yd83RLkDSc7vcgNJ544bgLbU/SXqaixQzpqOqZKlTkZKhhZKO2tKUiCtzCwwTzPMHuiUbgM1a/rdo4NSRGpnewP2GuK9OsZrsFQ+h8wjP8Iay01Xvo5/x+boQ0jPr3KbqN2jl5S9uLz4PfSwjjiWVYh+92VsqPdWUcdBOXMOkuul5rVEBAtWkPYxzEsYP/jcJNm5LSTJXvn3NqPymXwciV4FCzcVwzooFSG6ZhXy95jd5jcX35Q3rrqdkW7CsmYc3l27EfXekiruwsy58ag/9Jmko5F3kkDOWa/p59R5aOybOmrF20mf4llNSYj9YESkjJmJ3N1VKPx6owzFIoDnic13X4vrPrbtw/pU3stJsn2BUf9siDSBaFDA7yOhaVuco2hJXKBC+TPMTf4ch053yFOkpbOiKxFMQJGYizpuyr8TB+KO4gF1ofudxDpzbkLmhw+jYnWKPKu8e2BrPPhJ3zQ8d18efxArFtwtGBQOJzLJ7l2eEPK1JZfpSInkJJUMYIGYkrwldWuUygRMn8pzUun+HIcrLyErZzlSle5wRRw0K5dD23QGX9jYkb9r9GIt1uMl3QxOTo8jjta7GNbdhp1LU54etheFs+svKGNNZt5aqP01pE+MdjlhChwQf4z07RYRyaWCetFpveil+DnR3VyLSquWNxUDKJT/GytZR6OT52FjB3FuvsV9zkie6ZqnRAobh6nTE6AMiUJ2BU27SmFIXo+XCua6p45iMSO3DAey/i1AE/QPsJtWi3Dtd+507aEywPmEB7ChyQ77/pUDKBbynycRqDKCRtezYd+ejomC+93dDhPTsd17DOBFZ2jvIwmOXmUIThVTMH3WpJAp0oKy6EQ+AbsJOfx7iF0A8J97sVR1O++5ZxcCfIuYaQlIlp+z/5isFfNFPYphwt66i/ih6wNsWduBwopfQe1xC/CfA4BxiFugw9Ljf0Yd57DJOmg24FbhEqSKWbgHzC84EYaoVLA9q2saIHy0pVu41NEOe3ICpvEbx+Msk3oVjSYTTOy/QY/0pLz+kTQ3erH5KD6KhIewXCtiE4lRISkZaLHafJ1lgtM+/bn0nkd1SSkurqzENm8/EeVGNFx3O73yHA8Z5jIaitX9eQx05LyCjnPXvOqvQGxaKWy2bUi99ImLm+l9GPSLkZT3njtH9zyePR5J0/iuneORMO8x+CpkCvcDehHWTpFVOwPJ6e+65Ag0BtOS4mH356Xtk+9tUOr2eFnL+h07+U6eco9tuzVQ9Ig4gXnKDunzNLqeDWVxA64L7nd321xvQLHI4+pBPPRfCY5+M3bdf2hpRyd/ytBvGroYcgJKHfbx7yF2AcC9+TDavuc9966FAK5BpJREKh8HTqmYwnA7Wqzt+Jz1obN/iA0pf9+nzERzfZMF29N/LL1MOXYOlhV+7xrY9n6JozVA1qL7ZQzchVIE82zoSoVMbcnVICxAOR3wYBuIReMabftC6karIQ+qCUlIf+MsrrERJi3E2+Z3oEUIOjd8A1NOQt8NEhU1ASkbPsT+pT/lhclcxth7HoY1T2MT1uHtknT36Nu3hkMO4bybv/XNhi0/5+eYkPQM3jj7f7klUZMytsNc9RRC8pKUPXqQVkh8R7E/4ilBvlUctpCYe5DosZSJFhrK0UeYPBtBaF9RdAEEDu19JMUxAAEoauQR4AaR13wcMl1WL+8BVX/1XH4UQr+y/qtqZGX8I1JzD/OUGJdy7LBWQQs1ihsug6nLRaJobz0JsxdlAof+FeYztdgTvxQZQ5ka7xds0EeiYgacmxxtKfZ+ZGSpYT/XgUtePk/95V2Fua4edqUWGSmT+4MDOnKPCLzSONveR0FeMxYaO+A4VYZcnQ463cNQXf+vITvfeBXlPr0bun3tvBulB+byx5Ft/JoXxmCgZYzcVuWcQlGExt1ZmMG3vogXPPhQ7qHx3mGM3b3xFeSdfATGzg6cKnsOOpZdWhyuWy8Ovix/KQMYPYhno4S26gK3OY2PBUHK+VU8o5EJlfM8DUqyMHk2hty+g6q8MNGQ3kfiHIUF0NmoI8BZER9Dy6ZyVLe6trpi3887X92BluLVeDJR3M9NkahDaflU1Oz7sH8VGLf3UhlqHl2HX6UOtq9zEeYc36e9D33pGSxd8TDigtOrD7r5glS8HG2JdUJbAU39DpSJ7lHgXqK1/abvMpuAqueerxeYGT2eu/dh7sy7eA4sP6DnGm8fNO5Fo0LLp/8h3CuDG8GLTNJy4fCaLghIWD+R2TX0LyNd9RSOTn0ZTaFWKFhJ3PO+QmuSe1SWPAcz+SNs5//DtSs33fIrEJuyAFnKC/j0/H/zHNE83L2r6QmX1u69U8g+l2pDsJsQPSFtRhQtgF3WXNe/Eog/9zroY4mN2gTly3meBAlknoyWZ0Nmdblo7PK93f0rvvq+kzKU95EYR8/zowJaPsVpwYoyVhDPc+Q1LRtIVSjuCBMYhzjt8ziwbQpq7pvIWZyjVatxLvllHHthXt+eEC7LBH9ztklQF/4BxxZfxmuJbt+36FzUJeiD815X3I0FK9SwYhGWDVFBCQpghvcHsIPoQf45OhhjrpbRaDRMccNliUxuMraG3zIazGSyy08w1h6HK57DxpiN5Uy2UsloNtYzNnewRCYDBjusVYwWTzFV1u/6415vYIoF+d9kbGffZLKVYAB1n8yOTiOTq5zJZFe1MD1s6p4LjLFYy7BslMUNzPX+HBnRcnjXhYc9jLn8cSbb+LUwWPTMwfSYKxkNW2aukemU5HGZaShWM1BuZBqui0VyX9dWMVaxyz5lf8dYq55iIIjvYK43bGSU0DIbGzoZLhuHjTlbmc0oAV7ZN5lO4xpGqcxlqi6wlBxMj9XIFGuUAr6uIsXK8RGmP+B7M1N+bz5jtH3fH+bnqK8NK0+776XrjNW4kdHgcabc/Dc/KSUu9bQwVdkzGWV2NXPBc89KRA1asKznKfDSRO/ZkX42AmxfhpPX93nso+Guj7bqAuNwXGCqtEvc7f437hnsf44H/z4S5ci472v2ueC9Uzi5ODnuZTiZ+gSlA5bAkPodQjhiBKTaLUiWClZLl6MtjYMy7TdosFVDN7kR+RM8WpsaRWcnQnfMgobSR4fsM6BIXAR9cZdwVUbsPLxwrAypZ3Kgima9xNV48ZMpyKl9T+DUpYhbgp1NO/GI9deYwI5GJxTgbNI/oVjj7fnl2gq1fqjLO8VUQ2cbDpeUowmA3bAU0zh5+SsMpObnxDILJGw8Eqa+668AACAASURBVJ9cjWLB9q/sRl/rcKx6Fs6kT3PtizDtRXxydw5qjcW8Jb3jEKcrRdOBubD+8wxERUVjQv5ZJGVlQeMtgrMDpw99Dq33PiLe8QZ53teGl15xt/VEaI5MxjrzH1CoHsSGMNyy0D+59psoqO1bvjVI8eQlk/U8ycuKHyvinw1+ZeQcK2Ygt+5fUMS1eyz+Yc796J/gG/z7SJQj2A3PduJsZTbvuXAJyX2LoX6O1zJ3ORWgOEQgwgjw1RwpzYMfJzKO3SN9TSVjDsbIkhtlKIWWCi7soT4LR2RwkSMlO5pbwmjKz7osNXKS+InjGtH1W4LYqFyYpHXFT2YjfYmzWKiDxmZkqjN2nw2HrZ7ZqC1gjJ03g4A+EI4uC0a/hSQIxY+iLEZPvzOKGkVGVaTaLXiWirBSpty7c6aewFv13/Dm+IMlpBPdTftROu3XeF4jZz/3YJU7HPmw3ypYh9Q9+1Efkm8VXEFT1SFM896edjiqNtQyYmZi5euv4cEP12Or9+eIh5r3sKUfm8+G034Sm1YakbDzFeiCsv18ABzZbzGU/gRvPt8/7z5szU0FEYFhJjBKlQqW4hRoXijCXUeO4K/BXhfea8Y7Zd9i+ytPjLinbUjuF3aq6B0ljvzpXJD333A545Zdyccr3ntthKQiwc9UoXwUpac+lflxoOCXH5wcx9Kz0Y02UwkWvtiGJdW7kDsjmJ9YksOR/ZZOFa5s3xCib+kE546gXIhAsAhEsVYOT2bs7oC8U08w/RIBIkAEIpMA+xn0GV47bGYbYdsnvsV/ZFYysqWmficy20+q3UipiMz2JKmJABEgAqOCgFTnNCoqN4orIdVuo3j6YxS3JlWNCBABIkAEiEAYEiClIgwbhUQiAkSACBABIhCJBEipiMRWI5mJABEgAkSACIQhAVIqwrBRSCQiQASIABEgApFIgJSKSGw1kpkIEAEiQASIQBgSIKUiDBuFRCICRIAIEAEiEIkEbvMWml0mQn9EgAgQASJABIaLAPU7w0U69OX4KBW0+VXooVMJRIAIEAEi4CIgtd8B8QlvAlKKIE1/hHe7kXREgAgQASJABCKGACkVEdNUJCgRIAJEgAgQgfAmQEpFeLcPSUcEiAARIAJEIGIIkFIRMU1FghIBIkAEiAARCG8CpFSEd/uQdESACBABIkAEIoYAKRUR01QkKBEgAkSACBCB8CZASkV4tw9JRwSIABEgAkQgYgiQUhExTUWCEgEiQASIABEIbwKkVIR3+5B0RIAIEAEiQAQihgApFRHTVCQoESACRIAIEIHwJkBKRXi3D0lHBIgAESACRCBiCJBSETFNRYISASJABIgAEQhvApGrVPxgQcVqE+zhzTc8pSN24dkuIZbKaf8UO3KSwX4IKCoqA3pTK3o9ZdI94SFBv0SACAyBQOQqFUOoNCUlAmOPwA20H38LR5Or0MM40GN+DM1r96O52zn2UFCNiUCoCfQ2o2L+XOgbrwxcktMOyz495nPKvlvhN3wAi/0WL60TvZYdmK9aC1MXP5wXBYCzzYCMqGUwtN0QXhjGM1IqhhE2FUUERo7AeCTmHsSpolTEQIGYf/g5Uu8cOWmoZDcBZysMGSpEZRjQRvrd6Lgtes9j39bX8C9NN2XU5xa6al9FZjWw0myDg2HgsG3B1I83IvP3p9Hdl4MCMbMXIiv5BPbWXYT4rXID7adPoCX3l8hIGN+XcrgPBq9UcJpYCvJMX0lUkFWb2AcmARmGVl4cJ3rbmmAy8DUzFebr/4AjFjsvnhiKXlgq5rvMt7enYMPepVBx2t18VFj6DLn9CVkZc3bB0iveBP0RAzxi8814wa/GGGCOItFZTo0w6DPc5uooRKlyUHGyrd9kjSto1KcgSlWCRtERp/s698IKhB2rFe9CTkUzrywREQMOcmnbGXkmdAW5SQIR5QdLBRL6RgXsyMD1n1BhwQ+BZBTMuMP5PDm70Pj6HlzZnoUJ76SPjeepuxF6VRRU+kbei5rXgNx1lde7infd+7C3DY2mP0A/X9V3/0TN18NwxAL7QPf2gO+la7BUrPD/bvWWh87DgMAt2C010K9pxH3LfoEYORI5L6Ju7wkkZ/0KWWol2A5ZoZyLgpfWI7nmI5j573VFPDLyH0PLoc/QLnaPOTtw+lAXslY8jLjB9+xypPYbZ/BFx9yPRVnxMOxtEK8gq1O0f4ZDLY8hPyOegwXcgr1xKzKT1uHI1TTs7XGAYRgwDgsqHrgOU6Ya6SUn/TyUMVAXnXKl+d6M8nwjbGx65hSK1N5NeAWNWzfjwuLFmB0z+GqK0otJwSr9nSje8kHIOkdnVy0KNAX4eOoW2BxsHW/CVpuKlpylKPCnyIkKzAYGwK67CVuXt2Hx07PkPRiSZXpfUCBGnQX9lL3YUutHGfVOFuTz29RFaOfuG5Zr/397kRq3Ba2sG2gzLEPU/B3ylNrhep5YhWLTeuxL2IKduvvwv8bI8xS0ZmXfa/aTKMnU4NkjvViwt9V9D92EreIBXDWthCr9ZTQKTNf80uW8lyZBvSoPU4rLUevH1M3PlY6HgQDrd5SwGia7+NDD2XYAK4suIuP11UiZEC1PoF4brC2TMGv6FHcf6UqmmDods1CPOvNVXj7jELdAh6wWE47+9RovnD10ortpPzbdehLLUid7XRve0yH0tuORkPFL5LacwOl2sfkbtykmS4cFceO4SvdaduOZ9PcRb/wAfyzKQKKns1coodYVYvexDcBrhdg05A6HHRHXYOu55dAvuUfQWMHBq0CsJhslnb/DriYZc2YBF3oD7XV/hgGZyMl7EEqulcZBmZqHl7bdB8PavWjia7AB5+8vwTVY3nkD50rWYgnXbv7iDubaFGjylqMzpHUYjFzBTjMeiSt3oOHBE8hcU4PWAa1loX6eWMuXCfqFW/DFkp34Y+7MABTGSH+egti2vc2ofCYH1fFv4t//uB6PJsa6Mx8HpVqHot1VKMdePLtJbMARAMfYh5BX8j9Yu4tvAg9iPSiroBNQqJ5A9bHNSFOy/Z28P+elDpyTXG1gw7mOK0LrfewcLCsEKg9/7mVxuwpz3cdIzloY/EG0vKr0xRqCUgEo4h7Giqwu1Bz90tdM3v0ZqjZ9i8Jlc+B67K6i+fBBNGnXS3T0rlHs5uI7ht5pOr9B/VsHMW75Q0jg15B1iDFVIEflMXmz0y4GNLb1z1xx1hSLCRUeL3l2yqHufVRkqISmU84UNRs1ZUdlzoWy0w9PIMf0TR986QN2/vswGFsp0mL5FXCnsLej45K0s450vgNfcXY14q3K27F83nSBMua0W2CqyHFPN3mciRrRxu8svfiqcnagzvQ6MqJSBA5LioR05C+sR9n7bcIHRkq8AUYIYsmc9mbs65s6EmtnsVRBDlPEIa3kd9iGCqTJUCxC+zxdQXNVKbbXG1D4gArR3JSP9KhLQCLinydBbYZw4kR3cy0qm+Zhm/4X4iZm1oq5eSVgKPUdcEhxFJXIpWQurNmD90fQ6U5UNAoUJxDzEyg9A2XxGF6hTvR2tqPFK9T/6STMXqTzmRpxdn2Cg8bZvFkB/7mE8qpIjxVIcZORuuxJoLLWy4vciW7zR6hJ1mHR7EmuDLu/RF2NBcpZ0zFVstTJSMnQQmn3NvuIyHSbGkV7dFCKXHK2N2CvId6rY7wGS+VzyDzyI6yx3HRPu/w7NkcfQnp+ldtEzY4kduOZlL24vPg99LBOM5ZViH73ZWyo91Ynx0E5cw6S66UsNSKCBStI+xjmDcURR5Kd20KS7JU/NzrLx5HoVbBwUzGsM1ERomtWIX+P2a1QuvimvHEVi5uuc9M1ljXj8O7ajaj3rrfiLsycG496qblB7/gBnju7THhOnYfGvqmjVryd9Cme1ZSE2A9GRNCYmcjdXYXCrzfKUCxC+TwpkFZmFkz3MMwe6JTuCR/Je4Kdxhzlz5NIs4kHsaPBetiVCZg+VWo0qkBsygJkKS2oqftSMJoU5yheEhuqUP4Mc5M/x6HTHfKUb+ms6MooIuAalJ3BwY++cd8Xrvf28aWeWYGRraxk9y5PLI9H6sfCuR/nN/jo4BkszE/vsxS4zDxKJCepZJhdRcw+8gRyTbOw2p/3g9/9OQ5XXkJWznKkesxTijhoVi6HtukMvrCxI3+XNcVarMdLuhmcnB6nGa1I+dy8l/L0sD30zq6/oGzTBeTyuHJi2V9D+sTofoexPifEHyN9u0VEcqmgXnRaL3opfu7RmVXLm4phX3j/Gyuz5qDp5HnYWKchN9/izYXQcSZhz3TNUyKFjcPU6QlQhkQhu4KmXaUwJK/HSwVz3VNHsZiRW4YDWf8WoDn5B9hNq0W4eixdMn8nPIANTXbY968cQLGg52lWiJ8n+/Z0TOx7PnjtNzEd273HDd53rvMKOs7ZgOQETJMxIrWf68ClPoc696jU+73kXQb/XDEF02dNCpnyzS+KjkUI2E3I4d8r7OKA/9yLparbee8EiUUCItn5BikQMy0Byb4X/Ico7saCFQ/iuMefkXPQ/J43K+A/eaivDlGpYNVp1iN1NowHP+lzWuQ08uMPYsWCuwUm9FBXxpX/LVzqaIfd+8GPTUOZzYyy1KtoNJlgYv8NeqQn5fWPpDlris1H8VEkPITlWhGbSIwKSclAi9XmO/0T7Mr2nkd1SSkurqzENm8/EeVGNFx3O73yHA8Z5jIaitXyJeFemte86q9AbFopbLZtSL30iYub6X0Y9IuRlPeeO2+3Zcoej6RpfIfZ8UiY9xh8FTLPw3QR1k6RVTvyJfaNKWkRi8G0pHjYvT2qfXPghdwGpW6P1+i+37GT7+Qp99i2WwNFj7ijF1cwPU8hfZ6UxQ24LnhG3O15vQHFIo8472YY4qHEe8lvrq57Fi3t6ORPM/pNQxeDRkCpwz7+vcIuDrg3H0bb97x3gtgiAfkSuAamUvFVPg6crpgKxKYuQeGtBpxu/xa9fz2OGmT2zwpIZTdM4UNXKuDySF16/M+o4xw2WQfNBtwqXIJUnj+AC55d5gtDCqYcKq7Rtm/MbrQa8qCakIT0N86C852dtBBvm9+BFiHo3PANTDkJPI12AlI2fIj9S3/KC4uCrGWMvedhWPM0NmEd3i5Jd4++fWs45BDOE/lb32zY8nN+jglJz+CNs/+X1SQxKWM7zFVPISQvvCCMEHxHpD/iKUG+VRy2kJh7kOixlIkWSs+TKJZgPk/iBQwcylkOVLLveeFUr9R7aeBiKcYoJsANTK/5OGS6LPvegzQeB261GHDodDPOHD6BeG/rNS/qcB8GQakAwHmkfu+aBuj9EkdrgKxF9wunOWLvR0aWGkKToHd1PXOWWmSkDHZZjFu798ra2fY+CvKasdDYAcepMuTqdNDpHobq+n8F6CjjlbHk6d3Q7WvnabQ9MJc/jmzj17wwBgMtY+S2VuYUiiI07s7CDBlmV0mRBrrA3eDeOyLdQNvhV5B38hEYOztwquw56Fh2aXG4br04UI6Duz7kEYIS2qoL3EYyPhYEKefXwUkamlT0PIlwDc7zJJJxAEEeny9/jtIeq50aWRn3u53U2SLE30sBFE5RRyMBz94Tm8pR3epaMMC+83e+ugMtxavxZKLUJlasI+9STKt5GaVG9QjNCog3SHCUCrAeqZnAoX+F+Uwt9sQvFdnRi3VCWwFN/Q6UiS4ZdS+32n4TuW/mQxOrgN9vFYjXB4B7vl5gMvR42d6HuTPv4k3J/ICea7yVH5zio0LLp/8h3CuDG8GLTLhy4fCaLpAULMAL7J4eLyNd9RSOTn0ZTaFWKFjp3HO4wukc9wgreQ5m8kfYzv+Ha1c8O8Z5nNMu4NPz/81zKvNw9666J9yPJu6dRO65VBuC3VDoiQB3LmSXYdb1rwTiz68O+ljOHGxonie5CIXxRsvzJKyV/7NbsDfv7l8lNr8EJm6FmNvsrDmNTWV/6ZvuFeTVa8Y7W6uB3BI8r5nCuyTG0fPMsdaPT3FasAqNTep59uT5cPAKo8MwJeDaRpu/Cds4xGmfx4FtU1Bz30TOih2tWo1zyS/j2AvzeEqpb4W41WKpt4DVwlkB35jDHMLw/gB2ED3IP0cHY8zVMhqNhiluuCyRyU3G1vBbRoOZTHb5Ccba43DFc9gYs7GcyVYqGc3GesbGBX/HWKueYTTlZ5kexsH0mCsZjXIj03DdnUaiBDbYYa1itHiKqbJ+1x/regNTLMj/JmM7+yaTrQQDqPtkdnQamVzlTCa7qoXpYVP3XGCMxVqGZaMsbmCu9+coXg7vuvCwhzGXP85kG78WBoueuevLlplrZDolq3yZaShWM5Dk4r6urWKsknnwBWCZP8VAEN/BXG/YyCihZTY2dDJcNg4bc7Yym1ECvLJvMp3GNYxSmctUXWApOZgeq5Ep1igFfF2liZXDl8Pr+HszU35vPmO0fe91Qfy0rw0rT7vvpeuM1biR0eBxptz8N/FE/kJ7Wpiq7JmMMruaueC5Z/3FD8a1oD9Pgxcq8p8nhmG459/3Ge6j4n4/aKsuMA7HBaZKu8R9r/yNe275z77DVs9s1CgZZXYlU2/1vBFuMjazkSnPnslA81umwXazL2vPgShHxv0ssM8S7z3EpeHkuJfhZPJkMgp/h9TvjEIekVIlqXYLkqWC1bhZj1Q1rFjkZ0evcVCm/QYNtmroJjcif4J7xUK0GkVnJ0J3zIKG0kfdPgOD/1aBInER9MVdwlUZsfPwwrEypJ7JgSqa9fpW48VPpiCn9j2Bg5Yibgl2Nu3EI9ZfYwI7Gp1QgLNJ/4RijbcXl2tzr/qhLu8UUyKdbThcUo4mAHbDUkzj5OV5qnvt+yCWxeDCxiPxydUoFmxoxm70tQ7HqmfhTPo01/4G017EJ3fnoNZYzFvSOw5xulI0HZgL6z/PQFRUNCbkn0VSVhY03sJw3sqfQ+u9j4h3vEGe97XhpVfcbT0RmiOTsc78BxSq3UucA8mbWxb6J9d+EwW14iPUQPKTEzfoz5OcQsXjRPzzJF4t6VDFDOTW/QuKuHslFv8w537wJwUVykdR2mDBMV0MPspn73X22bwDqqKzmKyrhq3hN6IbIIlyBLtJ2k6crczmPUsu0bgdievneC2NlxabrhCBsCDA14qkNA9+nBE5dnQyDRufYnKNHa6R8oBCuEf6mkrGHIyRJTdiUAotFVzYQ30WjgFFipgI7MhsidtCNHShXaOzfksQmyMXJmldGXqZIcuBs1iog8YmZHIGPeOx+zxxVgltAWPs9LU8BI45EI4uCwbfQhJ4eZGRImz7ncjAN2JSSrVb8CwVoVKRBN8qkLvltnt3ztQTeKves0FIMAV07bNeOu3XXvOmwSxjpPJivzuwDql79qM+JN8duIKmqkOY5vabGalaDqrcmJlY+fprePDD9dgq55PGgyokHBONzeeJ/cbHppVGJOx8BbqgbFkfAEd2R+LSn+DN5/3Pq4fj3UIyjW0CYaxUDOVbBWyjToHmhSLcdeQI/hrsNd6sM1bZt9j+yhPiW/VG+j3FThW9o8SRP50L8v4bLmfcsiv5eMV7r40IYcaZvk99irI0vhNehAg/JDHH0vPUjTZTCRa+2IYl1buQO8PzfY8hAXQnlsOR/f5OFa5s3xCi7+8Eox6UBxEQJxDF2k48l9i5Qd6pJ3iEftnPdj/mtSMku/HIm/1bC4+QZFQsESACo5gA+xn0GV47bGYbYdsn/lmAUUxiWKoWXv3OsFR5VBQi1W5hrFSMCu5UCSJABIgAEfBDQKpz8pOELoUBAal2C+PpjzCgRiIQASJABIgAESACsgmQUiEbFUUkAkSACBABIkAE/BEgpcIfHbpGBIgAESACRIAIyCZASoVsVBSRCBABIkAEiAAR8EeAlAp/dOgaESACRIAIEAEiIJsAKRWyUVFEIkAEiAARIAJEwB+B27wvsstE6I8IEAEiQASIwHARoH5nuEiHvhyBUhE+G1+FvuJUAhEgAkSACBABIhBcAjT9EVyelBsRIAJEgAgQgTFLgJSKMdv0VHEiQASIABEgAsElQEpFcHlSbkSACBABIkAExiwBUirGbNNTxYkAESACRIAIBJcAKRXB5Um5EQEiQASIABEYswRIqRizTU8VJwJEgAgQASIQXAKkVASXJ+VGBIgAESACRGDMEiClYsw2PVWcCBABIkAEiEBwCZBSEVyelBsRIAJEgAgQgTFLgJSKMdv0VHEiQASIABEgAsElQEpFcHlSbkSACBABIkAExiwBUirGbNNTxYkAESACRIAIBJcAKRXB5Um5EQEiQASIABEYswQEXymlz8+O2fuAKk4EiAARIAJEICACYl82FygVbG5ikQIqhSITASJABIgAEZBJgB3MUr8jE1YYRZMyQtD0Rxg1EolCBIgAESACRCCSCZBSEcmtR7ITASJABIgAEQgjAqRUhFFjkChEgAgQASJABCKZACkVkdx6JDsRIAJEgAgQgTAiQEpFGDUGiUIEiAARIAJEIJIJkFIRya1HshMBIkAEiAARCCMCpFSEUWOQKESACBABIkAEIpkAKRWR3HokOxEgAkSACBCBMCJASkUYNQaJQgSIABEgAkQgkgmQUhHJrUeyEwEiQASIABEIIwKkVIRRY5AoRIAIEAEiQAQimUCEKBW9sFRsgcn+QySzJtmJABEgAkSACIxqAuGjVDjtaN6RA1VUFKKiVJivN6Gt1zmq4VPliAARIAJEgAiMJgJho1Q4249j89FZONbjANNTi8ebf4eq5qujiTXVhQgQASJABCKZgNMOyz495nODX3YAnAG94QNY7LckauVEd2OJe7DMxvf9V+kb0e1J7Z3/fD32WewQDK97m1ExPwV5pq+E4Z482F9nKwwZCcgwtErH4ccP4nHYKBWKxFzUnVoPdYwCiInHnNS/h7NtNxK4RpiAlA1bsVR1O9coCRUW0ESI713wg6XCzUt44xIvX1YUQgSIABEIjMAtdNW+isxqYKXZBgfDwGHbgqkfb0Tm70/3KwaCTBWITSuFjWG4z7uzn3h3/f8N5vLHAU0ljm3WIJZN4/wKpueewS5HFo5x8a7Dui4a1SkFqG670Z9rzP1YlBUPw94GtAu0jf4ozvbPcKjlMeRnxGPYO3mG9wew9ZX752CuN2xklADDphP/VzPFDZflZuiOd5OxNfyW0eYamU6HJ2kPYy7fzBht33sCRH7/xpjLC5hy899Erg0liM33GSbX2MH0iTOU7KTS9liZhqpiRtPHciaTXX6CsfaEtFQpaYIYHqr7hCdiz1mmPHsnY5bFysH0mCu97i9eXnRIBIjAsBIIrN8ZVtGEhTkuMFXaexlt1QVBX+CwVjFa5Uam4brcd7XrHaTB47z+yv2e9MnnMtNQrGaUxQ3MdZ40jk4jk6t8iqmyfscL9Rx+x1irnvJJ47karF+pdhuCEiOlgTFgelpQlT0T0KzAstTJ/erTgEe3YG98DSv3TcfOnUsQJ1s61sS0HcsvPIynZ08asJTAIkyCelUephSXo7ZLysQVWI4+sVkNtWApnv34pyiz3eQ0WYdtD2a1FEFTUIsuCW3UJ59hCbiBNsMyRM3fAYssn5dQ3Cf8il5B49bNuLB4MWazVq4B/xSIUWdBP2UvttT6MR8OmA9FIAJEYEwR6LXB2jIJs6ZPEYz+FVOnYxbqUWeWOV3fa8aeonJYiwuxSu3pr67CXFcPZC1ASiz/PTYFaWVm2MrSXNYMN3BF3MNYkdWFmqNfote7Ebo/Q9Wmb1G4bI4gjXe0UJ3zpQ9SGddg2fMi8k6mourtPNd0hpyce1th0j+LF79YgOo/5mCGrA7CnXGvGe9s/Qol+l8EoIjIEcodJ/Yh5JX8D9bukjJxBZCXSFRnewP2Gu5AVs5ypCrHcTEUyrkoeGk9kg2l2NV0RSTVSAWNR+LKHWh48AQy19SgVZZiISbrIO8TQVZO9FpqsPXccuiX3CN40AXRfE6mQJO3HJ1r96KpO6w0Nh9JKYAIEIHwIOC81IFzdilZbDjXcUWG/8ItdNXvR6VVhzefn9ff6TuvoOPcNSQn3QlbowH6+Spuql+VswMn2/o8LniFT0bqsieBylo0C95hTnSbP0JNsg6Lgj7A5hXv75BvCpEyZ/Dj+D++yXQa1zBKzBROF1xvYIqVSkb7Tj1ztrrfxK/MrmTqraxRR8xEfi+Tbfzaf3HcVXeZ2irGKrA+3WRsZiNTnj2zf2pGU8xUNViZHl6uDpuZMZZnu6dx2CkHI2MsX8LAywzl39zEy9B9+L25nLk328jYfC/JDuHMalAKzG0O21mmuljrrpOS0RRXMQ0cQ9nZBidiTwtTlT2TUWZXMxdkTTvwix3sfcLPg71tOhhjrlrAh72XeqwNTFUfIzAQaXfxtF750ykRIAIhJzD0fifkIvL6KJEpfU//5jUtIioVN4Wi9J2acOfxkEbDaDfWMzauL3MwPReqmex71zDGzpu+2XF5PSR0MeDeiRph/+ubMighUu0WVEuFs+sDbFlrQtLGSmzzGTnaUb+qAsYJv3I5oTg6cSDuBLT5VbD0QsSZpR37dHf704dc15wXUbf3BJKXP4SEvtqwI9jdeCbzCKLX1HMONQxzE7bNd6ImvRB7LNdcaXubUfnMcrxxeTGa2FUnjnqsiT6CtRtqfcpVKH+Gucmf49DpDhnaqE/yIQTMw/J507lRuLPLhOfUeWicugU2B+vw04q3kz7Fs5oSmEI1NSMlecxM5O6uQuHXG5EWoMVi8PeJ0KrgsvDE9/HhRGVNi/nF+Djpd+jhnJ087b4Jh/nOToq7MHNuPOoPfSbp7CRVdQonAkSACAyGAOdAWT9HYmrCjs/GZeGNbY9CyfVlCsTMeBw5S/9N3EquiEdG/mwYD37SN0XOvROPP4gVC+4OwHI7mJpIp+nrhqWjyLzCdtDProUhaQMqStLdUIRplcV6vKSbgRg2WKFEygI1lE1n8IVtCL4K13/1ygAAIABJREFUovNcV9F8+CCsWTnIS1W64Y6DUrMcWdpWnPziEpxworu5FpXWZdj80hIkstMtCiVSCzZim1YpFJyTdwqmz5o0fJ2Q8yvUlu1AS+4vkZEwHsAVNO0qhSF5PV4qmOvmG4sZuWU4kCVx0/nWwh3yA+ym1aLLm8SWPEmGTXgAG5rssO9fKV+xCNp94kRvZztalAmYPtU1ZcRWzmk7j5NN8XhkXoLrPsM4KNN+g1PMYeQmshw9f+MwdXoClPUncLqd51ntuUy/RIAIjH4CdhNyRJZ5Ct9581Fh+RYx0xKQPCQiN9B++gTqtdJTE8pZ0zFV0CvHYFpSPOznOnBJOKYCMA5xC3RYevzPqOPeYWz+DbhVuASpAr+MIQkdcGKB+AGn7kvAzo+/gg1WHYwH1sj0o1C4G+kirJ0+riZ9OQ904JrnikfSNE5VcUf3OLek4FLjEZhMJphMf4A+PQ159d+647gcY+zJCZjG999QTMe85fNEinU1Llra0TloPwKRbEWDutFa/QrWXnwSB7Y94fIT6f4SdTUWSN50NR/BLJhbE83YHXgblLo9XkucPEudBvdr262Bomeghb7BvE9u4VJHO7zbT6GaiUc1p7Gp6gM0N36ARtH5SBZDcO4/f5TpGhEgAmFOQKnDvr5lnlLvvlMoUseAc8gUGW+6aqjyceD0qbmzA6cPnRZ5hwOIvR8ZWWqfJAMGxM7BssLvXRb03i9xtAbIWnS/e0A1YOqQRAiCUnELXaZNyNzwFXLf3IAlcf2jxpBILMjUPVoVhLEnTvS27kOOaiKS0t/C2WusivcTZLxtQpUWaLHafD1mffIIJMB35H97ygb85/6lwk1PEipgGajfRTdaDeuRtgnY9vZ6pLkdNz3S2LenY6JAs/4RkvLe81weud+Ye5DoJatQmGDfJ73otF4UFsGexaSi6FgTDjzwNxi3rkJ60kT3BjWNtEOrLy0KIQJEQC6BGBWSkq/5OGSKD2x9M3VNfaiQlXF/v4NmX7RYJD3wj4DP4JB9z3VB8+hMqER760mYvSgTOPSvMJ+pxZ74pW7Ldl/Gw34gKmYgUvTNj5dXYacuEA/8QEqRiusZbXpdd7bhcMFGnFxoRKejDmW5T0KnW4w01bewtki673plEsip78j/e3M57s02Cjc9aS+C+jY/+XJbla9zKRSNO5A7g9sShZdACW3VBbePiJdWbStF2giavHhCih4G/z5xW47ESotJRJruOZSdsoFx2GA2PopLm9Kh2doksUGNWCYURgSIABHgEeB8GB5Dy6ZyVLe6VmQ47Z9i56s70FK8Gk8Kpld56bhDzwDY26ruiTcOcdpsFCYdxtZ3zO5B7y3Ymw9hn3E21j09S9L6oEhIR/6096EvPYOlKx4OzQpIj5gyfoemVLjnx48/+hreXp0iWWkZcgw6issk5TWFwvlZAMlzfybw7XD2XEP/4szJSMnQQtnyOc4LtliVGAHDHe49XTJoyYUJnfaTKElX44GjcXizSUSh4MxjKrR8+h+wC+bWrsFS8QSiMgxoE4QL8xeeOdHbVoeKnOSh+1X0WU3YeUeJaayQ3Cdun4iBpqMUSqh1K5GTpfaalxzoIRcSozMiQATGOgG2438eB7ZNQc19rAU0CtGq1TiX/DKOvdC/PNTZZkBGVBQE22/LQcdZWf+CEuxGIvdevQPq3bfw7F9KofM3A6C4GwtWqGHFogD3hZIj1CDi8NeWSC0R4cfpP2Z3mnycgVJiuUt/RIbhlsvAZxmNa8mkyBIdftqBjkV3OXPtQgbNb5kGm2spjsN2mql0Ly/t252MW37DXxZ5nbEaN7p2tfRaUsqIliMtXEBLStkdITXKAVm6lrXOZLIrT7uXHHnk5e/MJi2Tz5UhLQv1yU0iIHT3iev+Ee4q5wrTMsXGC+6lw+wSUyNTrFF7LbNy7ToHn6XIEtWgYCJABEJCILB+JyQiUKaDICDVboO3VHR/jsOVHwL23Vg67Q7JEW/A2lqgipEiEU/ql6FFsDRwCjQvvIXq1M+QrnLJNu3FM7g75y0Yi3nOMIp7oNtpxIFH/gP/PCEaUVEzkH/2p8gq1vpI4VkK5Fne6RNh0AE30Ha4gltFIcXSw1ARtwQ7m3bikUuvQBXNft9jIjRHJmOd+Q8o7NuZLQBBuGWhf8I2VCAtVDt3hvA+USQugr64S7DMV5H4LKrN+fjxkacwgdP2ozFBcwQ/XrdXuMyZc5r6HFrBUuQA2FFUIkAEiAAR8CEQxSoonlDWnMM79QSH/y/71bbM14CKP6JoMJ2roIbsNtTZSNqUgIbWbW4/BVeYxroarV7bpQqSRupJ73kY1qxETfJbOFaUOiLTWINDx+5HshOZRUDFsQKZq45cJbEmyoWaduj72nhwElAqIkAEhkYgYvudoVU74lNLtdvgLRXhhCQmBas234c9bzX2bQISVPHYvdRLfyLcVjWoBYxwZjEzsfL11/Dgh+uxtbHf62SEpZJRvOs7HptTT+Ct+m8C2JTsCpqqDmHam/nQhLFzqwwAFIUIEAEiEFYERodSAQViNWvwzl2N+NNf3btlBg3zNVjeqcKV7cO9XDZoFZCVkUL5KEpPfYqytCmy4odPJHaqqwh3HTmCv8raP8T1vZCyK/l4xWfX1/CpFUlCBIgAEYhEAqNj+iMSyZPMRIAIEAEiwPnjReS0+xhvu9E9/THGG5eqTwSIABEgAkQgHAiMkumPcEBJMhABIkAEiAARGNsESKkY2+1PtScCRIAIEAEiEDQCpFQEDSVlRASIABEgAkRgbBMgpWJstz/VnggQASJABIhA0AiQUhE0lJQRESACRIAIEIGxTYCUirHd/lR7IkAEiAARIAJBI+DzIW527Sn9EQEiQASIABEYLgLU7wwX6dCX46NU0CYkoYdOJRABIkAEiICLgNQmSsQnvAlIKYI0/RHe7UbSEQEiQASIABGIGAKkVERMU5GgRIAIEAEiQATCmwApFeHdPiQdESACRIAIEIGIIUBKRcQ0FQlKBIgAESACRCC8CZBSEd7tQ9IRASJABIgAEYgYAqRURExTkaBEgAgQASJABMKbACkV4d0+JB0RIAJEgAgQgYghQEpFxDQVCUoEiAARIAJEILwJkFIR3u1D0hEBIkAEiAARiBgCpFRETFORoESACBABIkAEwpsAKRXh3T4kHREgAkSACBCBiCEQQUpFLywVW2Cy/xAxcElQIkAEiAARIAJjiUB4KRVOO5p35EAVFYWoKBXm601o63WOpfaguhIBIkAEiAARiFgCYaVUONuPY/PRWTjW4wDTU4vHm3+HquarEQuXBCcCRIAIEIFRRMBph2WfHvO5gS87+M2A3vABLPZb8ivZ24yK+XOhb7zilcaJ3rY6VOQkg/0CaFRUMnIq6nwH1lz6FOSZvoLkkNvZCkNGAjIMrdJxvEoP1mlYKRWKxFzUnVoPdYwCiInHnNS/h7NtNxI4wBOQsmErlqpu54AnVFhAEyH+bgN2umi+++Zkb1DP/3xUWHr9JaRrRIAIEAEi4EPgFrpqX0VmNbDSbIODYeCwbcHUjzci8/en0e0TXySg9zz2bX0N/9J00+eis6sWBZpKXF78HnoYBkzPe1h8uRJJmTth4VvsY+7Hoqx4GPY2oF1Cq3C2f4ZDLY8hPyMew93JD6287kboVZ7OyutXlYMKkwV2T6UD0pxuwd64G2VXcvHCqt+gnQXM9MBcvhlG2/dgGAbtRWrc5tMs12CpeAEVlms+V4YWwOa7wr9mOLQCvFKzGmsjDPqMfmWA5XmyDfLVgRioi05xrFhe/f+nUKSO8SpvOE+d6G4scU9xed0zUVFQ5VTAZLG7tesbaDMsQ1SGAW2e+0iWqE70WnYhp6JZJq/hbl9ZlaBIRIAIhBMB50XU7T2B5KxfIUut5DprhXIuCl5aj+Saj2Du9veSugW7pQb6NY24b9kv4PsGvoKmXaU4nqXHS7oZrusxM7Akbzm0TQdxWGCxH4+EjF8it+UETrffECF0A+2nT6AlS4cFceNEroc2aGhKhVs2ZXEDrgs6Lgd6GtPQsjYTz1TKfbF7KsoqFK9h5b7p2LlzCeJkS8h2Vtux/MLDeHr2JE9mQfqdBPWqPEwpLkdtVwBmrkGW7tJYC/Dx1C2wOViF4CZstaloyVmKAn8mr0GWN6RkbmVxvuwO3FOaGsUNl3nKDlvP62h85ALWpjyHyqEoht1N2Lq8DYufniXy8HrK5/8Ob/vyS6ZjIkAEIoRArw3WlkmYNX2KYPSvmDods1CPOrP0VL2z7QBWFl1ExuurkTIhWqTCU5BWZoatLA2xIle9gxRxD2NFVhdqjn7pO3Dq/gxVm75F4bI5svLyznuo57K77MAKUiBmxnK8tG0emjZU4HCbmDYlkmNvK0z6Z/HiFwtQ/ccczGCnQeT+9ZrxztavUKL/RQCKiNzMAcQ+hLyS/8HaXTLNXAFkLYx6A+11f4YBmcjJexBKDsE4KFPz8NK2+2BYuxdNfjViYW4hP1PMwMrqt/Hgh/8HawznfW/wgASIxYyVG7BN+zk2lJgCtE54CroGyztv4FzJWiwJREsftvb1yEm/RIAIRBIB56UOnLNLSWzDuY4rkv4LCtUTqD62GWlK+ZYDp/1T7Hx1B1pyS/C8ZopXwZORuuxJoLIWzYL+wIlu80eoSdZhUdAH114iSJwG0GtL5DBg8EVYO3lG+6vncbLCs8KD74jiRHfzfqzd/h72F86DKpo1jScgx/SNuwTWnP8KdErfSQ/gFrrq96NyXDrmJYznScSanEw8x5coRM3Xw9AonEZw2i0wCWQywVTxT4hSlaCxr8FcJqeFNXvwvlwlqU8S1r/hCV5d+i6IHIxHYu5hMLZSpMWKNI+9HR2XPNYSt0ltvso9TcI6DTX6OvaIlBLMIIUyHSVvrwM2PR0ExcItWUs7OvvmEf8H50/uQI57qk2VswMn28RnMJ1djXir8nYsnze9fzTR24ZGg7dzlTenobRvMGlSXkSACIQfASd6O9vRMljBYn4CpdxBMmf9VSFaNQ+FJ+dgQ75ncMkvXIGY2QuRlfyx0ELi/AYfHTyDhfnpSBDpPvg5hOo49MUqtchImeyW/1vUb3gZ70avgoU16wscUYDYtFLYBNMo7dinu3vgunvmupY/xAPJzqvvxjOZRxC9pp5zquGmETbfiZr0QuzxmNd7m1H5zHK8cXkxmthVJ456rIk+grUban3KVSh/hrnJn+PQ6Q5JjdQnUbADtI+5Fadb6DIVQp35EaaWWVz16/kdkj4ugKagFl3+pveCLRNYy1QWdh/Lxdd5wVEslFkLkOJRquo3Yu2747DGcpObImlafBmlSc+I+M64rTzJHkZsRa/BsqcQz378M7zNti/nXFWE6JpVWHe4TdCOYdG+QW8bypAIEIGIIqCYgdw6m2va+0A8jj6gxXNi096KeGTkz4bx4Cd973tnewP2Hn8QKxbc3T+oGubKh0ipuAV7cxVe3XQamsIlSPV0DgCUuS+jtGCuy6wfMwO6l/Qotno7ogRIQXSu6yqaDx+ENSsHeakupxpgHJSa5cjStuLkF5fgBGsdqUWldRk2v7QEiawmqVAitWAjtmmVvkIopmD6rEmoP/SZpNetb6LghDi7/oKyTReQ69FAu09j11oTkrdtRIGnfjEzkfvGTmQdL8WuJu/lSv7k+AamnIR+p9C+lSK+jpT9q0i8r0VjQkohmnAe+werWLD7lOx8DZvq5wjnA5Vr8Gbpc0jlTIexSNQVYnPxJVQe/tzL47oXndaLUM6ajqmeO9t5CV+cbEXyIw+42hdsEz+K0lPtqMudIXzwRrB9/bUOXSMCRCBEBOwm5Az4vmNXzH2LmGkJSA6RGOLZjoMybQ02F98hsdJjHOIW6LD0+J9Rxzlssg6aDbjl1eeK5x26UM+rd0gl2LenY6KgYe6ASv81Hnn7GN4tTOU5y92J5Lk/c/sJuIuMUSEp2Yaaui+9Ogj5IrnmuuKRNI3vU+txfEnBpcYjMJlMMJn+AH16GvLqv3VnfhXmunrYkxMwjW+aUkzHvOXzRASIwbSkeEBgmheJFuyg3vOoLinFxZWV2LbkHihYZYidN7OrfJyGMCied0O3r93LaZK/YiTQ4y+w+5EfocevtcSC7ek/Fioy0WroL83D2+Y/oFDNc7ZNnoOZgrlIVzvYvT2unVfQce4akpNU/fecYip+/ugM1G/6I2qbG2HymvoSNtUIta9QCDojAkRguAgoddgnsI6LvetcK+Y4h0yRsaZLVJF3cTDrINXnxM7BssLvXdbz3i9xtAbIWnR///svmDLIzCsoSoXv6g8GzKky5C5WCxUImUIFFk1qrsuJ3tZ9yFFNRFL6Wzh7je3hfoKMt02o0gItVtsQnQr9Sek98mf32PgQ+5f+VNCJytpro/c8DGuexiasw9sl6V48xTrm+5BXL+lN5E/oIF5TIObee71k9c5ebPWHDafKnsNi93It7xQDnnMWK4/C6Ik9Ceqid2E98ACuGcuwND0JE7jdWg1olPDL8KSkXyJABIhAHwFuwHbNxyFTfFDbl0regduPQqVvFB1cC6aDBTlOwuxFmcChf4X5TC32xC9FhsCvUBB5WE6ColQMi6SShSjEzVLONhwu2IiTC43odNShLPdJ6HSLkab6FtaWUHe63iN/do+Nx5Ft/FpgDRDfa6O/oqz37w5OoShC4+4skdUwT6HK+p0gT89+FHKXJvWXNgqOuIf+TpGKxCIxTYfcsjrXPKX5TTx+aQfSNa/zHHFFklEQESACRMBDgPNheAwtm8pR3epyFO9boVG8Gk8m8hcJeBLJ/FUkYlnpBiTVHMT77rzZBQjsfk1ba36Obb9KkVweqkhIR/6096EvPYOlKx4OzepHmdVgow2zUvGtr4WAG12qkJVxvyS0gerjMkt5rTLh8oXPdIuz5xr6vQ0mIyVDC2XL5zgv2GbVNTfvW6473Hu6xDfiEEPYm+llpKuewtGpL6PJR6FQIDZlAbKUF/Dp+f8WOBuC28I10O1Zu9HGW10h7Tfh7Ufh5zyhApZgbXnqY/pz+07wnTlZ4m6fCP9WqHFQqpdgVU4mlIKVNGwGw9W+Q7w9KDkRIAIjQGAc4rTP48C2Kai5b+L/b+98oJuqsv3/baro+Erl8cORhDLyoK/FWdQfkk59Cj8NLaYiFnhBYBTbYvvTMgOI8kprERwHECztlAcCgr52WorOgCQPrI622FKcigMvcdA6U9LVYdWxJMyDx0Dbn8qf5PzWvblJbpJ706RJ+nd3ra7cnHv+7PPZ9+bsu88+5/Je52jVMpxO+iVqnp/hGr/srRVI5zbyk/E6SAuuQIx6Od6pmYNLW6YLHu0JeLJ2PNY3bkPOZD+7VyjGY9YSNcyYi0UpzkUR0q30SSoT/QHcQ28Qf1fqWYESTFlQz670VMzWwsq1SgZoWYG+hXVx+buaWXnWFKbM0bMOW08V+DnP1z2JactbmLuaC6y+QM2geYXVW67yhW2WJlaWNYVx/XTJbGtn+pwpTJlVyVq6uNJXmFlfxDQAg7KI1V9x18gk2/Ejl+tUFzOWzGFZ+r+6UuQPbKzLWMa375/LVdahX86UyixWdtLi6HdXC9MXaBk0ZczI90W+Fd8zNtbVUsmylFNYVnmzQz++mcKQYmNX6ouYEmpWUH+hh/q+Y+byhQxQMk2BnpkF/bSU5zClcjnTdzj06q5EyK8tZ2an2gSductz152Dkw/fXuvXLQEdEQEiEByBoMed4Kqn3BEiIKe3PvZU3AZtyTNIPbsFCVxg58gncDypFI1B7ZwpYWspEvB44SI0e6zKGAPN87tRmXICaapbeMsv7sXPMD57N/QFanclirug267H/of+jJ+NjEZU1GTknfwRMgu07jzCEb+fet00zz0QfHKFmMBN26wtQSMAa8UCxPH7dYg9AsnCi2hGYJxuMxr3P4TzhWpE8zwX4sgdeTC+s9zx/pSgRBGWhTbk8/tNDKidO7XPYWXq13g1gdPP7Ug9PgVVjZuh89nc6lYkPL4MBeLta/nNuQ5g5R1HoOH1y113Dk41mx7zcBX2iX6D0gllJgJEgAgMLgJRnBHjFJlze4u+OpMHxyfn9s/YApT+GvnilQO9kp5750QWEtfFo/7MJmETKkeaxrwMZwLcSrVXTfd7IS7AtRrLU99FUs3+MLDs6w5x7/F4GvkoQk2+eOVRT3IMF/32xIHOE4G+JTCox52+RTWgWpPTWx97KiLIJCYZz66/G3t2N7g2Aglra9x+6pt/iJ3PuefOwlr/gKmM81g8gdf2/wQfZGwdhIGM3Hs8ViJlzz7UBfOelmGj3wFzoZEgRIAIDEECQ8eogAKxmuV4884G/OaPEXhL6ZvluLh1TXDvkxi0Fwy36covcExuq/CB3q/YGXj+TSWO/OZ0gMuGufeFDCf9DnQFknxEgAgMVgJDZ/pjsGqA5CYCRIAIDGMCcm70YYxkUHRdTm9DyFMxKPRAQhIBIkAEiAARGLIEyKgYsqqljhEBIkAEiAAR6FsCZFT0LW9qjQgQASJABIjAkCVARsWQVS11jAgQASJABIhA3xIgo6JveVNrRIAIEAEiQASGLAEyKoasaqljRIAIEAEiQAT6lgAZFX3Lm1ojAkSACBABIjBkCdzk3TNu7Sn9EQEiQASIABHoKwI07vQV6ci342NUDNp3f0SeFbVABIgAESACYSYgt4lSmJuh6sJMQM4QpOmPMIOm6ogAESACRIAIDFcCZFQMV81Tv4kAESACRIAIhJkAGRVhBkrVEQEiQASIABEYrgTIqBiumqd+EwEiQASIABEIMwEyKsIMlKojAkSACBABIjBcCZBRMVw1T/0mAkSACBABIhBmAmRUhBkoVUcEiAARIAJEYLgSIKNiuGqe+k0EiAARIAJEIMwEyKgIM1CqjggQASJABIjAcCVARsVw1Tz1mwgQASJABIhAmAmQURFmoFQdESACRIAIEIHhSoCMiuGqeZ9+d8NU+jIM1hs+ZyiBCBABIkAEiEAgBAafUWG34tS2bKiiohAVpcLMQgNau+2B9JXyEAEiQASIABEgAhEkMOiMCnvbh1j/3lTUdNnAug5jzqlfofzUpQgioqqJABEgAkSACACwW2GqKsRM/qGWe7BNR2HF+zBZrwWOp/sUSmdOR2HDRXeZzgYUqrj6ZP5Va9HQKTw88+WTkWv4GrKP0/YzqEiPR3rFGfk87tbDejTojApFQg5qj70AdYwCiJmIaSn/CNi+QGm8hDLiS2Eib77fC+aGqRTx/IU8EslrNmKB6mb+wo4vNYHQ+aJz8/K83oiXLytKGUgEvkdrxSJERS1CRev3A0mwQSTLNZw7/CoyKoGlRgtsjMFmeRljjxch49+b0BlIT7q/QtXGLfjPxqueuWNTUWxhYEz8b0OXsQwazEFJTQFSY4XhOuYezM2ciIq99WiTsSrsbSdwoPkR5KVPRF8P8mForxOtDQdQmp0ksrI4682AhlYpzHZ0tzbCUCG29rhpjLdwxGQNwqq6BmvDLhRfzMFzaWnIbxMrQzhuy4f6Jk/dAXZ0m3Ygu/QUur1PhfT9MkylS/xbjyHVL1X4Gs4ZVkAltmJhR2fDWqiikj0tYVdx53nHj8tN6ny08RdyF4wl66G3XOcv7LZ8NXzQgevj8yg1XXbVFp6DPmLX3YoGj+suCdmltUFNn7l5eV5v0rzCQ6fnWpw6DUzn/utz3J+HSp1TjJzx5Lg/DQ2t0vcMx9XwFgpnqty/ATMLUXHEBKvMj16PMgzae/QiGgqTEeVxT4p7K5xPr0BrQGy431cDKgrT3WwDfjru6beOO78N6bkGnAtIFnE/huGx/Sxq936EpMynkalW8oO1Qjkdq156AUnVH8Po9CRIorkGq6kahcsbcPeiRxEjmccrsduIPfm7gJKXsUw9SnTyVsSn/xQ5zR+hqU3KQPwebU0foTlTh1njRojK9c1hiEYFN6itheap3yF6eR1vufGWVtfrmHXpCJ7SvICKM2LDgjMENiIjcSWOXErFXm4KgxvQbCaU3ncFhgw10tYeDeCHiKtnC5ZWTcD27fMxLphedDZi4+JWzHtiamCKDVgPo6B+NhdjCkpw+FwQrrCA6/fNaD/3Pl5esQtW31MRSOEGrq1Y3PIgnrhXfIGHo6k+YGf/GoZVC/DU8R+h2HKVv+5slj2Y2pwPzarDA+tHVXBdzgy74duzruznDmOVZiVqop+FyeY0nM5g76xuHHlqAZZXfOVhWNitR7E2Q4OnjnRj1t4zwpPWVVhK78Mlw1Ko0n6JhmBcw5yIQ+ge7Zm4nxz2c2hYuxCJTx3BpVmvo0t4irVZNuO+S+8iQ5WBtQ3n5B/EeuSoQIw6E4Vj9uLlw35c6X5EHHKnbphQGr9MOmC92wJz8yhMnTDG4+lfMXYCpqIOtUb5aXh7634szT+L9NeWIXlkdADYLsO0ZwPWmBdh/bPJPmOVYtyDWJJ5DtXvfelxP/IVd55A+bpvsXrRNMQG0FLYszDRH8D9JgTxd6WeFSiVTFvewmzexWwtrFyrZMqCenaFP2djXcYypsEUlqNv983PejovNNDVwvQFC1lWWROz+DTqLYT3978zY8l8aXm9s/bq+3fMXL5Q1OdeVRJYoa5mVp71ANNo1AzKIlZ/xQnDxq7UFzEl1Kyg/oJEXc7zC1m5+TvR+S5mLFnP9JbrojTRYddJVqJ50quM6HzIh5FlZzOXM60EE7n0kLsTYgU2Sx0r0qhZVnkz6+qxLqdOg9W5d8UXWH2BmkFbzszOy8mVxaEfj2uNvyaUTJmjZx0++RljPZ131S0+GOz3qMDQ454U988fY3E+jsMcBuVypu+4Kj4hHAdyXvxbJ+gP3vc9Y/w9ICuvRNNhTgp63Alz+x7VXTeykkl5kr+Dsr8V/sZBZ+Vdf2OWLsdNIluPMy9jzNahZzlKubGSyyiMlz7MHE8YAAAgAElEQVR6E34LJO9hUQNhOJTTWzDP+D4Gjf18O07LPSYrJiOn1gJLcapgLV3CqYNvo1H7Agrn3+Vh6TkqdljN6wtuQcWKvWiUdCXZ0XlqH1ZsfRf7Vs+AKppzzcYj2/CNj2xSCfZzDdhddjMWz5ggap9zSxk8p284162Xq9duNcHgcglzbnMDDKX/6uXmdLilZlfvwaEA5y35OfpsQ5DeBs6KfRHrblqGtU9OlOpqL9JioM7fAJ3Sd9IDuIZzdftQNiINM+JvFdXdn+y4JbCPBax7PhaHGVGcOkYkv/PQgtPtF11PfHbrKVS53M2c679CZirPWT78nwplGta+sRJY94SPdyD8rQk12i+i/bRFpvpbkZBzEMyyWZjb5e7FwyhrnIFNhY9KewtjkvHs+qVAxWbsaBQFpcm0wCUPnXvUTycDOdX5OQ6WfQ7tphWYL+nC5rx7q1GAXVixw3c+X5qjdMOK+DTkza5D8aFW1z0gnXM4p9rR3dGG5t4iiPkhlFwcYEB/36Ot9reoQAaWzBovGqvEhRWIuXc2MpOOe3pI7N/g47c/w+y8NMQH2py42jAch9QsfzHm/C/U5S7E06XvQHbOlRO080vUVpugnDoBY2VbHY3kdC2UVjlXkgKxqZth8QhmaUOVbnwAKARFJT0iGhi5OcVdeDLjiGj65ios629Dddpq7HHGDnSfQtmTi/H6hXlo5KZsbHVYHn0EK9Yc9mlXofwxpid9jgNN7RG6QTmZf438sgnYuWEe7grEk+YjZZAJzrnExQ+ILtTByE6u3zNchqb9nAHPqHPRMPZlWHj3/xm8kfgpntKshaGPprUcUioQMzkTu2py8NfcPjIsFBORnqeDsi4XmqdLccjQ6Cfe5BKMtXWwKuMxYazcvK0CscmzkKk0obr2ywAC2YbKPSp3nQWabken8WNUW1U+rnaPGmLvQXqmGlaf+Xwpjh4lPb8o7sSU6RNRd+CEbOCfZwH6FlEC9nY0HfgcmtXzkeIMzpRqkL9f74X+7U9c07f2tnrs/fB+P8aIVEXhTZMd3gNqRnEXdNv1qCuZhqNrlmBBWiJGcisJuCd9rx8kh1dDiaRElc/8kG9bnk+Ovud7k9KNDvNZL6PG4T0xZ2YjN8UReAOMgFKzGJnaMzj6xXnYucBH7omMm9t6aT4SOGtToUTKqiJs0ip9BVGMwYSpoyJ3g/LBO59gTs0m6CSfYJwimbA17Q5RcJdztUI0bk/bEpxnRHIucRCyc6Jxftq/xuHibWjO+SnSeQ/MRTTu2IyKpBfw0qrpUPJ3Rywm5xRjf+YfJJ8InVX5fn4DQ3a8BH+nHgL5jMbI5NVoxFfYF5BhEarOR2CcbjMa68rw8NE1WLhgJhJHRgvL5rwCr51ejaR4xAXwBGY93Y7zPQYDDpF7lLsYrFuQdjvHzlvPdyBtq8n3cvFIuYbz7W2wYiIS4wII6bO2of28OI5LiqNHA15fRmDshHgo6+QC/7yyD6WvVgOyxTq6ORlr/rLXtQrOob+ZKDV9i5i4eCT1Qd/5lRt105A5954exsoRGDdLhwUf/ha1fMAmF6BZj2s9GSMR7kNoRgUnXEwCHs6vgsVmgfGwHvp3S5Bl3opc7gcp4RmvQM0I98Zf9fyP4GUvo2YMUouNsBQn43zDERgMBhi4KPa0VOTWfSvUJjyRef94KiZgxuIZEi3GIC5xItDcho5wb8rFBxv+HB/MKfKKBpYQA2oU1F8QAuecAXfcpw1X6osgYQ5JVcKnOQxC7x+4QcbOp3edOFO5ASvOPo79mx5zuO9lvWkOnfo+EfpUKkoYD11VmwR/sS6COf4Cux76Abr8Dszh0HksEh5+AVWWq7AYP4Be/zZKsizYmrsAaYnTke0VqCnqcOiHQ+EedVJQFqH+ihCI7uFZvYD6ArUzV2Q+JTn6a0ohDJhnYe4I75o4f60OiHNKHarE+rluRMmkPNcqOMcSz2PIV8eAD8iU/eHswasUcGcdKzfq/HoARZXFTsOi1dcdnvHuL/FeNQIwRkTlI3AYulHhFEqhhHqeDrrH81FlsaHLrEdB4ofIXXWIXzrlUIgVzWaLb7Sqsw7XZ7gU5KoQ4J+2nYaCM92O7jNVyFbdjsS03Th5mfvF/iHS3zCgXIsAZXXWFcjnDVgNyzyeXm5OXoO/7Fsg7BAqPNVI7q/BrZEuwYqzS1C6zDcaOJDWe5dHbi6xr9l5P/lz+2p8gH0LfuTBM7D9IjpxpuIFpK4DNr3xAlKVnu5769Y03C5+eon6ARJz3+0dvrCVUiBm0iTBexK2Sv1UNAJK9aPQ6Z5EflUzWFcL9AUq7MvdgINcvBDvkVMFbDz7n/YUxBj096gfnEGdEjwHCHCQ9x6AJDkGJQBlliIQo0Ji0mWP+Csum/RDl1QFAaTxUx9NUGbOQrK/qQ9XVaNw79wM4MDvYfzsMPZMXCB4XV0Z+vwgBKNC2ExFcj22AjEJjyI3cwbgdKk55//8ukGd87RapCePDi8M/oK4zbNOeysOrirC0dl6dNhqUZzzOHS6eUhVfQtzs1wEqmcVwX27CUrdHo+n1+vGEkzK0nvGiUjtr8HHNRhgbVzNL0lyuOWEwY53tcZFaPc051OMV0/7nJ33kz+3r8YcZOn/6sGzx/0i+G3eVzoMioZtyJnsvehKCW15i3t5tPgpxhWk6MViiHy1t1YgXW5/k5jJmJ+7GFo0CfFCzvgnb9e7GIYzNkCNzPR7el7eNtjvUXHXQzp2xqL0MA3s9Kx5D0BSHEOShwrzBPgYhkfQvK4ElcJWCXbrp9j+6jY0FyzD4wniIPZeMuMNQnh51P3Xxcc2xh1C4ebPsGDJg9JB0/6rCOvZEIyKWxE/4xFoZYMqBTm1zsDI0UhZtASaum0ollwTzQX+VWPj1qvI2ZkHjchK44LnclXcvFYIrjkh1sHDU+JU4PQfezwB2rsuwx2rLvx4Nn+OrzzW2zvmLX21IaR7T5f4ZgwuRVhN47nj2ncwly8EeFdrB2pzJstECgfXlHduh5fJ66lpMLETOsTvqZCmxn3vjcPORgmDgjd8VWj+9M9ee6Vwm3M9hqiANyziGuxE69FtyPa39a6HN8R77l3iu6QHy1tbgXy/BuupXW7ZZq6FobUTivgHsFhr6SGo0hnUqkBsynys1jRhXfHvXIFiHq13G/HmxkogZy2e03CrbjrRalgrbHGcjkLDGU+v5WC/Rz06H+AXuXcZ8W7taahbt1Nm35vLML1Zhq1Yjp3PzfA02KQ4wun9aMHxpjZP7tyGgPzKBu8pzgD7MGyyjcA47XPYv2kMqu++nfeQRquW4XTSL1HzvFsHDuM8CqrChgCCk8MATzEes5aoYcZcLEoJ88N4b8QTL1eVW3cqzuN5fIW1lOcwpTKLleiN7n0jbBZmrCxgGsxhJca/i4pcZZb6V/i9KrJKPmJmYd0u4/LrS1iWUsk0RXXueriSwlp3QMNKjD2v2Bc15nUorNP2WL8rrBnXvMLqLY614DZLEyvLmsI4Fq49NmztTJ8zhSmzKlkLL/MVZtYXMQ3gtUcEt3yY259jUsB7YVw3lrBJWXpm8ZI2sK8SewewcO1ZIJJAsk/9zY7bV2MOy9L/VSSon0PndSS77t9R1rk+3L0PilPX3teyn7Zcp2ysq6WSZSmnBLjfhKtgkAdB6pzX53zh3nTsd+C41kXyluiZUbgnGLvKLMZ9rEAziWlKTnrsm+HYT0PJlFllrM7s2JHGkV/PSrj7SHxvcXuFCPwdnL33AxgK96hwX/jsH+BUqXBe+B3i9yzQlDEj97vCX6MPuPeXsXWw+iItA/f7Wmd2cbdZjExfksWU0LKi+g6JPX+kOAr7UXC/WeLfNl4s6fxOiSP9Gfy4E2mJqP5ACMjpLQRPBWfCcJHxb8BUsxCjT64V9o2IQlS0FjsuTMN68zvI99hedASUqb9AvaUSutENyOMjy7n8auSfvB26GhPqNz/s9hrwgYmluPTiDmyZ1BuTSVzmViQ8vgwFHlubjoHm+d2oTDmBNNUtvOUZ9+JnGJ+9G3pxMJWwymX/Q3/Gz3iZJyPv5I+QWaAVN8AfOyN3PffC8Mk2uBIUCXi8cBGaPZacDSZ236P1YCnWNFoB6y4siHPoWhyZ73yqUIybj+2N2/HQ+Q3C9Xw7NEdGY6XxLaz2uJYDUaGwLLQhn99vYpW/FwAFUl248vBer/8U7s1Y/PO0e+CYGOTkzcavTdz9eRL5wj0RFXUL1Dv+hp+s/x1q8lM8ItIVyoexud6EGl0MPs6bLMS33AJV/kmM1lXCUv8LV8wKv1eIZSd0427Ct11duHHbaIz6B/FP0PC7RyXfZeTUs2IcUjfXwML9vn680rGyLioK0aq1ODl6IWosNdicOk7COynFEVAkPIXKkzuR5R1sKCxh1HosGXcKQZ9EIEgCYotEzvIQ5+m7Y+4J6knHEx6/y1mongpOcq7O+T5PW73rk5SXwJHm8nD0ruKBWYp/inI+3YYq4jBjx+1+x3sseuPtCJW1//K8p0G7SmbXRv9le3eW8zBpGCDhleQrHK73qMOLq5XbnTRo2IFzpB01g4ZLBbh5eJkduMWPCUGaIxHObm3AjjXvYF9uEkbya4cbsSY5X3pP9oBF4XahW4mUPftQF4mNjLg91zf/0HeOM2D5BnBGfnfEu7Fnd4P0/Hmoog9lduA8AE/gtf0/wQcZW92vMA6VWYjluRiTdUv1iN++oYc9T0JsyKM4t3PrMTDbZ1j5t1fw4mHv3XCH4z0awruMPNiKvwTK8SIayw8gziuOTVwTHROBYAgMXKNCvH6YXzusQYmxVGYb6SC6HDsDz7+pxJHfnPYKVgqiDsmsXOBUOS5uXSOzra5koUGUqECsZjnevLMBv/ljBN5SOqTZcWp2TP0dGxArSBwBk7NfbMX8yh0SK2Aic1nyAWzOYFfFP2DUmH/E2FE/8G1sON2j3WdgKHwKL34xC5W/zsbkADYS8wUmk9IjR0dwfPHFPGyQfHWCTL2UTAT8EIji/DjO89wcs+irM7n/P7k3x03OBw7U8JuQ9L9AJAERGMQEOhtQODkNW8WrprllzVW6oDZFC56AsD9IbgWsmIKssj14zbVzafC1Df4S3Jt/12Gyxw63k5ClPxbgqwcGPwGuBwN23BkaeCPWCzm9DQ6jImJYqGIiQASIABHoTwJyg1N/ykRt90xATm8Dd/qj5z5RDiJABIgAESACRGAAESCjYgApg0QhAkSACBABIjCYCZBRMZi1R7ITASJABIgAERhABMioGEDKIFGIABEgAkSACAxmAmRUDGbtkexEgAgQASJABAYQATIqBpAySBQiQASIABEgAoOZwE3ewnPLROiPCBABIkAEiEBfEaBxp69IR74dH6NiQG5+FXkO1AIRIAJEgAj0AwG5/Q76QRRqMggCcoYgTX8EAZGyEgEiQASIABEgAvIEyKiQZ0NniAARIAJEgAgQgSAIkFERBCzKSgSIABEgAkSACMgTIKNCng2dIQJEgAgQASJABIIgQEZFELAoKxEgAkSACBABIiBPgIwKeTZ0hggQASJABIgAEQiCABkVQcCirESACBABIkAEiIA8ATIq5NnQGSJABIgAESACRCAIAmRUBAGLshIBIkAEiAARIALyBMiokGdDZ4gAESACRIAIEIEgCJBREQQsykoEiAARIAJEgAjIEyCjQp4NnSECRIAIEAEiQASCIDAwjYobJpQuM8AaREcoKxEgAkSACBABItC/BAamUdG/TKh1IkAEiAARIAK+BOxWmKoKMTMqCtxbOqOi0lFY8T5M1mu+eT1SrsFqqkbhTJW7XNUpWO3iTN55VJhZ+BaOmKzwyNZ9CqUzk5Fr+NozXVyV/Qwq0uORXnFGPo84fxiPyagII0yqiggQASJABIYqgWs4d/hVZFQCS40W2BiDzfIyxh4vQsa/N6FTttt2dJt24cmMk7hvfzsYY2C2N3HfJz/Hk2Wn0C2Us597H+sy9gNLD8Ni4/KYUDy2CT/LeB2NnSKzIuYezM2ciIq99WgTJYubt7edwIHmR5CXPhF9PciHrz3eMuKssGQUNlwU9y/A426YSmc6rLibk7Fm7wKoeEtwJkpNTuyiqjhrLXsHTN0yVEVZgzrk6k1/HoZzPVmeQdUaXGZu+ifeaQmLPuNLYboRXFURyR2yrmWkCkqn3I26Dem5BpwL8yUgIx0lEwEiMJwJ2M+idu9HSMp8GplqJT9YK5TTseqlF5BU/TGM4oHfg9MlnDr4NsyZOswaN8JxRjEes5ZoYS47jFN8ue/RVvtbVCQtRm5mCpTcyKxQImVVETYlHUet8ZKoxlsRn/5T5DR/hKa270XpzsPv0db0EZrF7TlP9cFn2IwKh2WkQ8mW8aiu/dKP1SbXqxio8485rLjrRpTk6WHhLDp2DPnqGK9CF9GwcT1a5s3DvTFh64KjjZhkPFt4Gwpefr//Bqub1Mhv4/ru9d+WD/VNXih6/fV7tFYsQtTMbUEbZqHrWkroYHWqQIw6E4Vj9uLlw37cgFJNURoRIAJEQIoA/0C3DAarxNNbtwXm5lGYOmGMx9O/YuwETEWd18AvVblEmrUN7ee5B9hudJjPQjl1AsaKhzTFGEyYetVnTFWMexBLMs+h+r0vXZ4OV+2dJ1C+7lusXjQNsa7EvjsQix9CqxfRWL6bt4z+ry4DSVv34FCrlAUVQhOuotwTajU2nl6Mwvl3eSjXlSWkAwViNVlY2/Er7GjsjcclpMb7sPCtSFi6DfX3f4SM5dU4E7DHJxK67q1Ox0CTuxgdK/Z6ugf7kCI1RQSIwPAgYD/fjtOyqwcsON1+USZ+YTRSFi1BYrUBHzs94HYrjB9/icSSfCxKuBWwX0T7aYssSOvpdpz38MhydT4OuDwdzqJ2dBo/RnWSDnPvHeVM7NPP8BgVnV+ithrITL8Ho+IfwGLt5zjQ1C4BuBOtR7chW+Vw6auyS3Goggt6CWLKxP4N6na/jRGLH0C8SHq71QRDabYwZeIMoGlAq8dgyQXCGFCaneSYZlFlo7T2EErTVVAVNri9K4qJSM+7F9XF76HVQ5EyuvFn3coUgXfAz8xCVDS0+lqdcuXDka4Yh9S1v8ImlCI1UMMiErqW1Kkd3a0NqChMFwKbohAlwUgRn4a82XUoPtQqcb2FAxLVQQSIABGwo7ujDc29AsF5VX+GvZv+GwvibnH8nkXHIc2kw97VKeD98LwXRNZikWhVgZh7ZyPTe2rE/g0+fvszzM5L8xgfJSqIWJJoWO5tG4JlBC3Sk0cDigmYsXga6g6c8AoiuYZzhrXQZH+FhxqugDEbWovuQM26rWj0bppz/+/RQemdDsDeVo+9FROxeMYEt5ei+xTKnszDkehnYeICXPgAmnxEVz+LvD1GYaAWgmWS9+LCvHfRxeUxPYvod36JNXXeyhwB5ZRpSKqTm7OSECyYJPvXMDyjRUbDj1Bsucqz6Hrjxzj+1AKs8hfRG0wbgeaNmYKcXeVY/deiAAyLCOhaVqdG7MkrwPHEX/G6YuwqLOtvQ3XaOhwUe8EUd2LK9IkS11ugACgfESACRCCSBC7DVPo4NMfnoKXLJkxrX0HL4k/x6NNVQXiJvWQUHn71b3/imqrnx8cP78eSWePd46NXsUh/Dd2osLfiUHElkDkLybFcdbcifsYj0NbtRrl4+qCzCTtWHMfsnS9j6WRupkeBmMmZeH1/kaTxIN1xwVpUxmPCWCHgBXZ0njqMMrMW2bn3OwJc+BiX/4OlmdPQePQrWHhvgxAsU1CIl3STeevQGWSjlWiMnydTNsl4XCQKBJxkR2fjXqyouBubXspFipLrh5NFBj4MypV/A1bDMveTvGuZkyi4M5C0kfdhTaMV1n1L/RsWEdG1lE4Bu+UrHG2ciIdmxDsseYyAMvUXOMYOIodzF7r+RmDshHgoI2UAutqhAyJABIYcAasB2eLfSG6RwF/2YoHqZtHvKrdY4FvExMUjqTcAOj/HwbLzyMyeg8muGMBYTH58CRYcfR2/PnUJiFEhMUnqMdpfgyMwbpYOCz78LWr5gE0uQLMe11bPRwo/FvsrG7lzIRsVfNBenYqf+nAGhSj4KRCLKLhEeMK13o3pU+4UWVCKIBV1Defb22BNikecSzkKxKZuhsWyCSnnP4HBYIDBcAgVhfOQmPuumxzvtrcgKVElDFKOUw5ZJZTJKxloNlvCPCVxCcbaOlg9DCNOFoGFNZiAn5ug1O3xDej0DvAM4rtllwaKLokgJd6jcAIHwq5rKZ0CCtUUPKxpwrry93Gq4X00tMot2HJeQ2dh7pBYJeS+AuiICBABIuBJQKlDlfj3kVskMCkPest10e+qY7GA40HTs7j7m8ongNNxzjn2uXO6jvgxRhgn+YBMleuU94FPAKczQ+w0LFp93fHw2/0l3uPCEObe4zHGObP21WeIRoVj6UodTNiadofbsou+G7l1Vlj9LrPpTRcdEbI+Jbu/QkX2/8bIxCfx+sn/4QfoUelbYSxfCDS3ocMjrsKndPAJAVu3fgY56xak3R7tZhYVhejEXNQFL014S8TchQTee+JdbaR0LaPTmBTk1zRi/31/h37js0hLvF3YaMY7TsZbTvpOBIgAEYgAAd4IuOwTkOkI4JyIxDjvVYqcDArEJs9CpsRzK/g4CucDeQziEifCJyCTD+C87PMw7O7dKNw7NwM48HsYPzuMPRMXID1e7Ml15+yro9CMCn7pShO05S38RiAeSyCv1KMAlWEOoHOA94TzPVoPbkDu0Yeg72jHseJnoNPpoEsdhyvms55Zw/UtCOtWtkltOcxC/IcHN2ZEceoY2WL9diJiupbSqdDLmASk6p5B8TELmM0Co/5hnF+XBs3GRndQbb8BoYaJABEYVgT4GIZH0LyuBJVnHJ5Tu/VTbH91G5oLluFxj2lZEZnYZDy9KRmna98TeVw7cebQ26hOXIJFKaMdYQP83hPb8GrlVw7vuN2KU9u3YF3zIhQ+niDy8Ivq5swWLlg97hAKN3+GBUsexLjQRnXPynvxLYTmnUF7Ouldu2LvQXqmSgigc1pr3i7qYCNqhflzD++D8KSbNA1TxE/Y9v+HyxevupEI8jR/+mfPrVHlom75dPixEN1VB3c0GsnpWiibP8dXHlu7OjZzmhm1CBXiQES/lXMrJGrdq1nEc4O9PpbabCySupbSqUSnFUqodUuRnan2suad15Dck4JEXZREBIgAEQiawAiM0z6H/ZvGoPpuznMahWjVMpxO+iVqnp/h2hPC3lqB9Kgo0YrCWEzO2YrX04HavMmCd3o6tlxahMaaVVALU/mKcbNQuP8FjK3WYiT3+x2twvzTSdhZsxIafzES/EZaapgxVzBQgu5YeAsw0R/ATSMF+neB1ReombKgnl2RLGJjXcYypsFCVm7+jjF2lXXolzOlpojpzVwJG+sy61mBRskANSuovyBZi3eizVzOtK46ubM2dqW+iCmhZUX1HczGJ1nYybIspgQYlEWs/gqfymwdepajnMKyyptZF5evq4XpC7SM67d3P3zb8ZZE9P26kZVMymN6y3VRop9DWzvT50xhyqyd7KTlqojFJKYpOemQzU9xn1Ndzaw8i6uvkrV0OfrqkyekhMjqWoq1I03LCvQtAg/n9aJmOfp2h575Pn3HzOULGbTlzByJrofEjQoTASLQE4Hgxp2eaqPzfUVATm+99lTYW99D8daxfnbtEtbRarlguxPoxAiM021G49o7cETDWXnRSHj1a6SufA5Sqy/kTCdFwlwUFpwTrcrgNqtaiZrKqfgsLQ7RnIUX9yI+GZ+Nw/oCj5UlinHzsb1xOx4y/5vDEhy5CicT/xUFGu8JLyF+QPsIZkRifkpxF3Tb9dj/0F9RqOLWLUdjpOYI7lh5AO841y3LAZBK55eF/sax38Sqw67lRVJZe5MWaV376hRQJDyFSmMe7jiy0KErF6O92CTe9MzejqYDn0PrtW9Jb/pJZYgAESACRCBEAmKrRs7yEOcJ9zH/RCryJvRcv+AB0ZQxYzieym0trFyr9PRU8GkPBOw96VnmPsrBeyzUvfN29IGI8rruvU7l6+yDDlETRIAIhEygP8adkIWmCngPvxSGXnsqgrZlOhtQqEpCdoUQhMItUeSDXHYHua7W8c6H9SkfYXfdNxHYRZHbR2IfNsf9G57TDMCASX/gY6Zg6WtbcP8HL2Bjr17q5q/yIM4Freve6pTbMvwA4nbm+Z9zDEJ0ykoEiAARIAK9J9B3RkXsDDxf80skHX9CcGdHIVr9Jmzz9vbC5T8GmufzceeRI/hjuJeLdhvxZvG32LrhsX6Pou2NWhXKh7H52Kf9u4KkV7oOVqeO94UUX8zDBvF0SG+gURkiQASIABEIC4Eozn3hrImLZhV9dSbTJxEgAkSACBCBiBCgcSciWCNeqZze+s5TEfEuUgNEgAgQASJABIhAfxIgo6I/6VPbRIAIEAEiQASGEAEyKoaQMqkrRIAIEAEiQAT6kwAZFf1Jn9omAkSACBABIjCECJBRMYSUSV0hAkSACBABItCfBMio6E/61DYRIAJEgAgQgSFEgIyKIaRM6goRIAJEgAgQgf4kcJN349zaU/ojAkSACBABItBXBGjc6SvSkW/Hx6igza8iD51aIAJEgAgQAQcBuU2UiM/AJiBnCNL0x8DWG0lHBIgAESACRGDQECCjYtCoigQlAkSACBABIjCwCZBRMbD1Q9IRASJABIgAERg0BMioGDSqIkGJABEgAkSACAxsAmRUDGz9kHREgAgQASJABAYNATIqBo2qSFAiQASIABEgAgObABkVA1s/JB0RIAJEgAgQgUFDgIyKQaMqEpQIEAEiQASIwMAmEEaj4gYu/OEgDn5xeWD3mKQjAkSACBABIkAEIkIgTEaFDd1/ehsFWevwwV+6IiIoVUoEiAARIAJEgAgMbAJhMCou47utAPIAABDqSURBVIvy5Uj9P6/g99cHdmdJOiJABIgAESACRCByBMJgVNzAdyMeRLGpBsUPxkZOUqqZCBABIkAEiAARGNAEwmBUjMG/ZD6Jmf90O+j9pgNa1yQcESACRIAIhItA9ymUzpyOwoaLAdTYidaj25CtigL3Iq4oVTZKj7ai27uk3QpTVSFmcnm4/5mFqDJZYRfn49tNRq7ha890cR77GVSkxyO94ox8HnH+MB6HwagIozRUFREgAkSACBCBgU6g+ytUbdyC/2y8GoCk13DOsBaazRcwr/EKGLOhq3EeLmx+FBmlp9yGhf1rGJ55EjtsmahhDIxdgXllNCqTV6Gy9Xt3OzH3YG7mRFTsrUebh7XhzmJvO4EDzY8gL30i+nqQ7+v23L2mIyJABIgAESACg4rANVhN1Shc3oC7Fz2KmEBk72zCjhV/QOb61dAlcCECCsQkPIrczGloLDuMU52cZWBHZ+NerPjwfmQ//mOh3lgk6FZjfcFZrCs/gU5XW7ciPv2nyGn+CE1tImPDdf57tDV9hOZMHWaNG+FK7auDAWtU2FsrkB6l6hf3TV/BH6rtkO6GqmapX0RgiBO4YUJp/DIYrDckO2pv3Y+l+WeR/toyJI+MlszjkxibimKLEcWpY3xOuRMuwVhbB2TOQnKseFgeg9RiIyzFqRBHLCrGPYglmedQ/d6Xbk+Hs7LOEyhf9y1WL5rmUcZ5OtKfYukj3ZZQfydaGw6gNDvJMWfknF861IjWbhlfTrCScXNO2TtgCrg+O7pN25Cea8C5MIkQrMhc/humUsQ759JEn/GlJkhf4r1pJYQy3a1oOFTqnheMioIquxSHGiTmBl3NdMNUOtOta1e/ZqLU5DOjCAStO1dD/g+4etOfh+HcNf/56CwRIAJEQIaAQvUYKmvWI1UZigfgGqynyvHquhbk7MyDhjMi7BfRfvoykhJvg6WhAoUzVfxvpip7G462un0UbrFGI2XR44DL0+E8Y0en8WNUJ+kw995RzsQ+/QyjUTEeuiojqnTj5TvQfQaGwoVI3Pg57niuDjZ+3oibX3oSqFmJxIztQRgCcs1cRMPG9WiZNw/3xgTaPQVi1JkoHLMXLx/2E/wi12SY0m9S56ONZ8LNp7n/2/LVuClMbUAI4JkpnsvrsW47ulsNKMx4FBv/6048Z7oqyHcFjU9Fo+YpjefcoEd9MVDnH/Poj6Nvx5Cv9nYe9kZ3Ho3Jf4lJxrOFt6Hg5ff71XCUF5DOEAEiMOAJxPwQyoDHFd/eOLy4t0B13wocfXgZ8u5XOmIeui0wN3+L7uoirPp4PJ6vt/CxF61Fo7H/0bUSD0MKxNw7G5lJx1FrvORuyP4NPn77M8zOS0N8oMOfu3RYjvqw2csw7cnHgup/hn7/RmSrBZj8/FI68neVowQlyNjYKJo7CraPnMehGhtPL0bh/LuCDFAZA03uYnSs2ItGfo4r2LYHSX7FZCytfAP3f/BzLK/4ytd1JtWNbiP25K1A9cSt2L8lE2qXlR6LhIdXYVfNGmDNz7ExoChoqQa4tFB0J1enOF2BWE0W1nb8CjsaA4nWFpelYyJABIhA6AQUCTmo5R4YbR3YP+493KdeLTIYrDgxIhOvb3oYSn5kViBm8hxkL/gDVuxo8h0XFRORnncv9G9/4npQsrfVY++H92PJrPFBjn+h981ZQ98ZFZ2f42DZ59BuWoH5UsEjMVOxpPQ/sDM9rvcw7N+gbvfbGLH4AU8rrbsVR0uzoeJd70nILq1GRWE6olRr0SAyIBTxacibXYfiQ60BLcPhpyuyDbA6aQbwabeeQhXXNi+LCjMLK9Ag6d4KoLJeZlEo07D2jZXAuicCMCzs6Dx1GGWNM7Cp8FGM87liOIv5pyg9vB7pcSG4BOV0xy2xMoinXKSYccFTBveUGrdcq/YQStNVUBU2uG9G4SasLn4Prf04zdVLtVExIkAEwk3AakC2a0o2ClE3J2PNX/Zigepm0ZStzFRtKLIoxiH1xUIUwIC9tWdd441y6gSM9fiNjUFc4kRYT7fjvM9v1giMm6XDgg9/i1o+YJML0KzHtdXzkeIRlxGKoMGX9RA/+OKBlhDmeawqTJ0wRsZoGAGl+lHoUhMCi6iVaJq30iomYvGMCe42uGU6qxYguzkVDV02MPYpikY3Yt3WOt8aFHdiyvSJqDtwQnapjm+hwFPs5wx4Rp2LhrEvw2LjpjfO4I3ET/GURsq9FXi9wefkLOBM7KrJwV9zezIsHAFEVmU8JoyVMRoUSqjnzUMqH9kcvDRcCUnd4TJMZc8g48gPsNw55WL7L6yPPoC0vHJhqozzcOzCk8l7cWHeu+hiDDbTs4h+55dYU+dt7o2Acso0JNXJRU33TnYqRQSIwCAloNShSjTVzK4bUTIpD3rLddGUrdRUbbj6a0Wz2YLu2HuQnqkOvtLYaVi0+joONLXD3v0l3qsGMufe0+sxNHgBfEuEZFQ4nraFTTrE1p5w7G7uGs63t8GKiUiM855Hd+cK7ciO7o42NHsMfs5lOg9h5+YnMJmfC4vF5Jxi7C+QUuAIjJ0QD2VEBp2LaNyxGRVJL+ClVdMF95YgS6aMe0sWyDcwZMeLLGl5HcjrKBojk1ejEV9hnz/Dgg8gsgBJ8YgLYS5Rtiv8CSndAeC9W+eRmb0YKc4pF8U4aJYuhrbxM3xh4YIuL+HUwbdhLijES7rJ/M2kUE7HqpdegFaiUcXYCZiqbHLchBLnKYkIEAEiEE4CjjiKZJlNstTITL8HsYhF4n3/AlR/DKPIew50o8N8DpqHp0AlOVqPwr1zM4ADv4fxs8PYM3EB0uNvDaf4QdclKWagtYiDCaWOA60nPPkEw8Vj8BOespOmYYpzUOIbc7iUfNtVICYuHkk4C3OHxMoE3wKBp3R+idpqE2TdWz4Xk7+quaDYNpEl7Q7qlNJDz2lfYNdDP0CXj3vNnwzhPCelOwDOpVgpl9BgMMDA/VcUIi0xFy4/E8/VgqRElYd1roh/AIu1Sl8hY1RITILj6cD3LKUQASJABMJKQJGgw+aSsaiu+gBnnCsS7efQ8Foxqh9eiadTRgMYgXHaLKxOPIiNbxqFWDdulcgBVOnvxconpnr8vokF5Kft4w6hcPNnWLDkQYkpanHuyB+HZFQELp7gAYjEYO0SgrPozrq+hf/gBqyGZR7egZuT1+Av+xYIsRqCtyC+FCY/6z+tW9Nwu4dX5wdIzH03/OIGVaMCMZMmCd4Tr4KKMZgwVQU0t6HDeUN4ZQn9q5zuOnGmIheqkYlIe/0kLnMNjZqNN4xvQhvRayn0HlENRIAIDE8CDs9ElCieaxTUq99CzbwL2JIQ7RhDonNQG1+Ixl2ZggcdQEwK8mt+h7XYhQR+jLgF6l3X8NTvNkMnFYfoxKsYj1lL1DBjLhbxBorzRP98hm2lon/xFYhNnoVMZSVOt1+EHTJxFVxQXo0ZI9MeRLz/CiXOCt6H0xKnwpJ0E5S6PWBsj6s2LlBz8o6J+H2VDhLPxK587gMltOUN+DBnsjvmw31ygB6NRnK6FsqtbWg/fw2IlXat2a0m1LSMRFpqAm4LuifSurO3HsKq3FOYrW/HWzrnah47Ohvq0AxgatDtUAEiQASIgB8CN6mR3yY1Ne5bxrGSI8fnhGQ6F3emy0cV9+9TQpQQk4CH86tgyfebS1SAO1QgNnUzLKleyf30NQyeCoYbF75E7dt7ULqjAoams+hmEr3hA0qmoW7dThyW2oCo+ytUPK1FxnuX8A+3KeCY+7ai+fhJYVMszhW0y73x0sy1MHismhC8IR5P1MKA6JHGySb3ZCzM7Uci9oMPxFGh+dM/w+oxzXAZptLHEJVeEcSKBK+X03h4PnoTXxGFKFkPiwKxKfOxWtOEdcW/cy1dcmvYju4zVXhavRTvXb6FNyh8defOLX0kpTunLu7G9Cl3ioywG+i6LNoMRo4rv+7bO1CTUz23Hhw+0yXSclEqESACRIAIBEWAif4Abpo+uD/7fx9jv5ipZnOeL2Plb21gWT+5ny3d9yf2nVQ1Xc2sPGsKg6aAVRotzMbnsbEu80eshE9/hdVbrjpK2lpYuVbJmScMyiJW//c/s3LtfFZi/Dtj7O/MWDKHKQvq2RVROzZzOdNiISs3i1q3tTN9jpppCvTM3MW1eIWZ9UVM46z3ikMKRzXfMXP5QgZtOTOLk0VtiA+vG0vYpCw9s4gT/RzbOvQsRzmFZZU1MQtfv1OWOUK//BT2OWVjXS2VLIurr7yZdfmcD2eCsy0l0xTsY0anjjiWdWUsS6lkmqI6oU+MMW/deTCWlktSd1fqWYFH3VeZ5eROlqUEA9SsoP4CX5mLq5NDVwvTF2j5ayega0RaJEolAkSgDwj0ZtzpA7GoiR4IyOnNw4qQyyRf9/fs7L4lDPP2sbN2LpeddX/yCzZ+UgkzXpcpZbMw4+E3WYFGMBj4wT2Llbx7TBj03eVsliZWxhkbnFHhMTDZ2JX6IjbJy6hg7AKrL3iAactbBINFqKvLzOpKspiSawtTWFaJnulL5vvWyw+Gk3zLu0XyOArWqGCMM6DqWbkw4HG8lVklTO8ysDyqD+CLc7CfwnL07Z59DqB0sFlsFiM7XF7gMMh4lg753603+xg18rqTa1VKd1eZxbhPdK1wuvstqz/5LitQuo0KX65aVlD+Bl/O06gIzmiUk5TSiQARCB+B4Med8LVNNfWegJzeQjQqvAW6zv5Ws4r944w32J9ueJ8L33ebpY4VaVcxfYfg1XBVbWNdxjKm0ZQxI++VcJ3wOnAMLp4DDmP807KPAeNVdMB9dRoWvfF2DKTOBKq7AGUWvCUeOubTHnB5OAKsibIRASIQQQJyg1MEm6Sqw0BATm9hiKlwzrYw3LB8hC1rTmDxC+lICPAFbs7SgX7arUexbqke8ds3SETEOt7hsT7lI+yu+wZ27nWyDWuhUuWi4oxzHt75Mhfvt7hdRGP5AcQ5X/ASqED9no/byOoJvLb/J/ggY6vHDqH9LlpQAnjrLqjCAWTm9izZh81x/4bnNP7eFhhAVZSFCBABIkAEJAmEyaiwoftP+/CM5hVcXvMfKPnXfwrfC7BcYnei1bAWs19sxfzKHciZLH4RrCsTgDHQPJ+PO48cwR+7gVjNStTsvBvHU28XloNyy3S+w7yat7Ba7XyLm+O9E8UX87Ah6HeGiNvur+MRUKb+Ascsm5Haj9uzht57se48ollDr7rbiDeLv8XWDY/1+zru0DtDNRABIkAEBiaBKM4L4hSN231R9NWZ3MPnVVjrS7Bk4QnM2LcdBXP+GTFRPRTpzenOBhROTsNWcUB/lh6WgJdz9qZRKkMEiAARIAKRJNC7cSeSElHdgRCQ01uIRgXD9+YqLJ15EInVb2J9WlwEPBSBdI/yEAEiQASIwGAkIDc4Dca+DCeZ5fQW4vTH/+BExU4csH6IDbPG42bXfgnLYLD62VZyOJGnvhIBIkAEiAARGCYEQvRUDBNK1E0iQASIABGICAG5J96INEaVho2AnN5C9FSETT6qiAgQASJABIgAERjkBMioGOQKJPGJABEgAkSACAwUAmRUDBRNkBxEgAgQASJABAY5AZ+3lHLzJPRHBIgAESACRKCvCNC401ekI9+Oh1ER/B4VkReQWiACRIAIEAEiQAQGBwGa/hgceiIpiQARIAJEgAgMeAJkVAx4FZGARIAIEAEiQAQGBwEyKgaHnkhKIkAEiAARIAIDngAZFQNeRSQgESACRIAIEIHBQYCMisGhJ5KSCBABIkAEiMCAJ/D/AXC6uz+dADGhAAAAAElFTkSuQmCC"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the oxidation state of vanadium in each of the following species.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_09.58.14.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/03.a"></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>Identify, from the table, a non-vanadium species that can reduce VO<sup>2+</sup>(aq) to V<sup>3+</sup>(aq) but no further.</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>Identify, from the table, a non-vanadium species that could convert <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{VO}}_2^ + {\text{(aq)}}">
<msubsup>
<mrow>
<mtext>VO</mtext>
</mrow>
<mn>2</mn>
<mo>+</mo>
</msubsup>
<mrow>
<mtext>(aq)</mtext>
</mrow>
</math></span> to V<sup>2+</sup>(aq).</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>Formulate an equation for the reaction between VO<sup>2+</sup>(aq) and V<sup>2+</sup>(aq) in acidic solution to form V<sup>3+</sup>(aq).</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>Comment on the spontaneity of this reaction by calculating a value for <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>G</mi>
<mi>θ</mi>
</msup>
</mrow>
</math></span> using the data given in (b) and in section 1 of the data booklet.</p>
<div class="marks">[3]</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{V_2}{O_5}:{\text{ }} + 5">
<mrow>
<msub>
<mi>V</mi>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<msub>
<mi>O</mi>
<mn>5</mn>
</msub>
</mrow>
<mo>:</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mo>+</mo>
<mn>5</mn>
</math></span><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="V{O^{2 + }}:{\text{ }} + 4">
<mi>V</mi>
<mrow>
<msup>
<mi>O</mi>
<mrow>
<mn>2</mn>
<mo>+</mo>
</mrow>
</msup>
</mrow>
<mo>:</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mo>+</mo>
<mn>4</mn>
</math></span></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>penalize incorrect notation twice.</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>H<sub>2</sub>SO<sub>3</sub>(aq)<br><em><strong>OR</strong></em><br>Pb(s)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Zn(s)</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{V}}{{\text{O}}^{2 + }}({\text{aq)}} + {{\text{V}}^{2 + }}({\text{aq)}} + {\text{2}}{{\text{H}}^ + }({\text{aq)}} \to {\text{2}}{{\text{V}}^{3 + }}({\text{aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}}">
<mrow>
<mtext>V</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mn>2</mn>
<mo>+</mo>
</mrow>
</msup>
</mrow>
<mo stretchy="false">(</mo>
<mrow>
<mtext>aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msup>
<mrow>
<mtext>V</mtext>
</mrow>
<mrow>
<mn>2</mn>
<mo>+</mo>
</mrow>
</msup>
</mrow>
<mo stretchy="false">(</mo>
<mrow>
<mtext>aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mo stretchy="false">(</mo>
<mrow>
<mtext>aq)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>V</mtext>
</mrow>
<mrow>
<mn>3</mn>
<mo>+</mo>
</mrow>
</msup>
</mrow>
<mo stretchy="false">(</mo>
<mrow>
<mtext>aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>O(l)</mtext>
</mrow>
</math></span></p>
<p> </p>
<p><em>Accept equilibrium sign.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{E^\theta }\ll = + 0.34{\text{ V}} - ( - 0.26{\text{ V}})\gg = + 0.60{\text{ }}\ll {\text{V}}\gg ">
<mrow>
<msup>
<mi>E</mi>
<mi>θ</mi>
</msup>
</mrow>
<mo>≪=</mo>
<mo>+</mo>
<mn>0.34</mn>
<mrow>
<mtext> V</mtext>
</mrow>
<mo>−</mo>
<mo stretchy="false">(</mo>
<mo>−</mo>
<mn>0.26</mn>
<mrow>
<mtext> V</mtext>
</mrow>
<mo stretchy="false">)</mo>
<mo>≫=</mo>
<mo>+</mo>
<mn>0.60</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>V</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta } = \ll - nF{E^\theta } = - 9.65 \times {10^4}{\text{ C}}\,{\text{mo}}{{\text{l}}^{ - 1}} \times 0.60{\text{ J}}\,{{\text{C}}^{ - 1}} = \gg - 57\,900{\text{ }}\ll {\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg / - 57.9{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg ">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>G</mi>
<mi>θ</mi>
</msup>
</mrow>
<mo>=≪</mo>
<mo>−</mo>
<mi>n</mi>
<mi>F</mi>
<mrow>
<msup>
<mi>E</mi>
<mi>θ</mi>
</msup>
</mrow>
<mo>=</mo>
<mo>−</mo>
<mn>9.65</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mn>4</mn>
</msup>
</mrow>
<mrow>
<mtext> C</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>×</mo>
<mn>0.60</mn>
<mrow>
<mtext> J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<msup>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>=≫</mo>
<mo>−</mo>
<mn>57</mn>
<mspace width="thinmathspace"></mspace>
<mn>900</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>J</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
<mrow>
<mo>/</mo>
</mrow>
<mo>−</mo>
<mn>57.9</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</math></span></p>
<p>spontaneous as <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>G</mi>
<mi>θ</mi>
</msup>
</mrow>
</math></span> is negative</p>
<p> </p>
<p><em>Do <strong>not</strong> award M3 as a stand-alone answer.</em></p>
<p><em>Accept “spontaneous” for M3 if answer given for M2 is negative.</em></p>
<p><em>Accept “spontaneous as </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{E^\theta }">
<mrow>
<msup>
<mi>E</mi>
<mi>θ</mi>
</msup>
</mrow>
</math></span><em> is positive” for M3.</em></p>
<p><strong><em>[3 marks]</em></strong></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;">
[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>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, reacts with thionyl chloride, SOCl<sub>2</sub>, according to the reaction below.</p>
<p style="text-align: center;">HOCH<sub>2</sub>CH<sub>2</sub>OH (l) + 2SOCl<sub>2</sub> (l) → ClCH<sub>2</sub>CH<sub>2</sub>Cl (l) + 2SO<sub>2</sub> (g) + 2HCl (g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard enthalpy change for this reaction using the following data.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change for this reaction using the following data.</p>
<p><img src="data:image/png;base64,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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>The standard free energy change, Δ<em>G</em><sup>θ</sup>, for the above reaction is –103 kJ mol<sup>–1</sup> at 298 K.</p>
<p>Suggest why Δ<em>G</em><sup>θ</sup> has a large negative value considering the sign of Δ<em>H</em><sup>θ</sup> in part (a).</p>
<div class="marks">[2]</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><sup>θ</sup> = [–165.2 + 2(–296.9) + 2(–92.3)] – [–454.7 + 2(–245.7)]</p>
<p>«Δ<em>H</em><sup>θ </sup>= +»2.5 «kJ»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1]</strong> for –2.5 «kJ».</em></p>
<p><em>Do <strong>not</strong> accept ECF for M2 if more than one error in M1.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S</em><sup>θ </sup>= [208.5 + 2(248.1) + 2(186.8)] – [166.9 + 2(278.6)]»</p>
<p>«Δ<em>S</em><sup>θ </sup>= +» 354.2 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«3 moles of» liquid to «4 moles of» gas</p>
<p><em><strong>OR</strong></em></p>
<p>«large» positive Δ<em>S</em></p>
<p><em><strong>OR</strong></em></p>
<p>«large» increase in entropy</p>
<p><em>T</em>Δ<em>S</em> > Δ<em>H</em> «at the reaction temperature»</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.</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 ethene, C<sub>2</sub>H<sub>4</sub>, and ethyne, C<sub>2</sub>H<sub>2</sub>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethyne, like ethene, undergoes hydrogenation to form ethane. State the conditions required.</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>Outline the formation of polyethene from ethene by drawing three repeating units of the polymer.</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>Ethyne reacts with chlorine in a similar way to ethene. Formulate equations for the following reactions.</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">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Under certain conditions, ethyne can be converted to benzene.</p>
<p>Determine the standard enthalpy change, Δ<em>H</em><sup>Θ</sup><em>, </em>for the reaction stated, using section 11 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) → C<sub>6</sub>H<sub>6</sub>(g)</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>Determine the standard enthalpy change, Δ<em>H</em><sup>Θ</sup><em>, </em>for the following similar reaction, using Δ<em>H</em><sub>f</sub> values in section 12 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) → C<sub>6</sub>H<sub>6</sub>(l)</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>Explain, giving two reasons, the difference in the values for (c)(i) and (ii). If you did not obtain answers, use −475 kJ for (i) and −600 kJ for (ii).</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>Calculate the standard entropy change, Δ<em>S</em><sup>Θ</sup>, in J K<sup>−1</sup>, for the reaction in (ii) using section 12 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine, showing your working, the spontaneity of the reaction in (ii) at 25 °C.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One possible Lewis structure for benzene is shown.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_14.31.21.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.d"></p>
<p>State one piece of physical evidence that this structure is <strong>incorrect</strong>.</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>nickel/Ni <strong>«</strong>catalyst<strong>»</strong></p>
<p> </p>
<p>high pressure</p>
<p><strong><em>OR</em></strong></p>
<p>heat</p>
<p> </p>
<p><em>Accept these other catalysts: Pt, Pd, Ir, </em><em>Rh, Co, Ti.</em></p>
<p><em>Accept “high temperature” or a stated </em><em>temperature such as “150 </em><em>°</em><em>C”.</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><img src="images/Schermafbeelding_2018-08-07_om_13.51.15.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.a.ii/M"></p>
<p> </p>
<p><em>Ignore square brackets and “n”.</em></p>
<p><em>Connecting line at end of carbons must </em><em>be shown.</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><em>ethyne:</em> C<sub>2</sub>H<sub>2</sub> + Cl<sub>2</sub> → CHClCHCl</p>
<p><em>benzene:</em> C<sub>6</sub>H<sub>6</sub> + Cl<sub>2</sub> → C<sub>6</sub>H<sub>5</sub>Cl + HCl</p>
<p> </p>
<p><em>Accept “C</em><sub><em>2</em></sub><em>H</em><sub><em>2</em></sub><em>Cl</em><sub><em>2</em></sub><em>”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em><sup>Θ</sup> = bonds broken – bonds formed</p>
<p><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = 3(C≡C) – 6(C<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAANCAYAAACgu+4kAAAAUklEQVQ4EWP8////fwYKABMFesFaB9qAfwwUuuAdA4uKgiJKMNx5cJ+BWDGGf28YGCmKhX83KPQCkwgDo7K8AlnpAORVBoZ/FHqBgYFCLwwKAwBbdR/JDJ9lrwAAAABJRU5ErkJggg==">C)<sub>benzene</sub> / 3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> 839 – 6 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> 507 / 2517 – 3042 =<strong>»</strong> –525 <strong>«</strong>kJ<strong>»</strong></p>
<p> </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 “+525 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>”.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for:</em></p>
<p><strong><em>«</em></strong><em>Δ</em><em>H<sup>Θ</sup></em><em> =</em><em> </em><em>3(C≡</em><em>C) –</em><em> </em><em>3(C</em><em>–</em><em>C) –</em><em> </em><em>3(C</em><em>=</em><em>C) / </em><em>3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span></em><em> </em><em>839 –</em><em> </em><em>3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span></em><em> </em><em>346 –</em><em> </em><em>3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span></em><em> </em><em>614 / 2517 </em><em>– </em><em>2880 </em><em>=</em><strong><em>» </em></strong><em>–</em><em>363 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>.</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>Δ<em>H</em><sup>Θ</sup> = ΣΔ<em>H</em><sub>f</sub> (products) – ΣΔ<em>H</em><sub>f</sub> (reactants)</p>
<p><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = 49 kJ – 3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> 228 kJ =<strong>»</strong> –635 <strong>«</strong>kJ<strong>»</strong></p>
<p> </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 “+635 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>”.</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>Δ<em>H</em><sub>f</sub> values are specific to the compound</p>
<p><strong><em>OR</em></strong></p>
<p>bond enthalpy values are averages <strong>«</strong>from many different compounds<strong>»</strong></p>
<p> </p>
<p>condensation from gas to liquid is exothermic</p>
<p> </p>
<p><em>Accept “benzene is in two different </em><em>states </em><strong><em>«</em></strong><em>one liquid the other gas</em><strong><em>»</em></strong><em>” </em><em>for M2.</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><strong>«</strong>Δ<em>S</em><sup>Θ</sup> = 173 – 3 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> 201 =<strong>»</strong> –430<strong> «</strong>J K<sup>–1</sup><strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>T = <strong>«</strong>25 + 273 =<strong>» </strong>298 <strong>«</strong>K<strong>»</strong></p>
<p>Δ<em>G</em><sup>ϴ</sup> <strong>«</strong>= –635 kJ – 298 K × (–0.430 kJ K<sup>–1</sup>)<strong>» </strong>= –507 kJ</p>
<p>Δ<em>G</em><sup>ϴ</sup> < 0 <strong><em>AND </em></strong>spontaneous</p>
<p> </p>
<p><em>ΔG</em><sup><em>ϴ </em></sup><em>< 0 may be inferred from the </em><em>calculation.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>equal C–C bond <strong>«</strong>lengths/strengths<strong>»</strong></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><strong>«</strong>all<strong>» </strong>C–C intermediate between single and double bonds</p>
<p> </p>
<p><em>Accept “all C</em><em>–</em><em>C</em><em>–</em><em>C bond angles are </em><em>equal”.</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.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">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.v.</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>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="specification">
<p>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="specification">
<p>The table lists the standard enthalpies of formation, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\text{f}}^\Theta ">
<mi mathvariant="normal">Δ<!-- Δ --></mi>
<msubsup>
<mi>H</mi>
<mrow>
<mtext>f</mtext>
</mrow>
<mi mathvariant="normal">Θ<!-- Θ --></mi>
</msubsup>
</math></span>, for some of the species in the reaction above.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2018-08-10_om_08.21.04.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/04.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hydrogen gas can be formed industrially by the reaction of natural gas with steam.</p>
<p> CH<sub>4</sub>(g) + H<sub>2</sub>O(g) → 3H<sub>2</sub>(g) + CO(g)</p>
<p>Determine the enthalpy change, Δ<em>H, </em>for the reaction, in kJ, using section 11 of the data booklet.</p>
<p>Bond enthalpy for C≡O: 1077 kJ mol<sup>−1</sup></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>Outline why no value is listed for H<sub>2</sub>(g).</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>Determine the value of Δ<em>H</em><sup>Θ</sup>, in kJ, for the reaction using the values in the table.</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>The table lists standard entropy, <em>S</em><sup>Θ</sup>, values.</p>
<p><img src="images/Schermafbeelding_2018-08-08_om_15.07.35.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/05.c"></p>
<p>Calculate the standard entropy change for the reaction, Δ<em>S</em><sup>Θ</sup>, in J K<sup>−1</sup>.</p>
<p>CH<sub>4</sub>(g) + H<sub>2</sub>O(g) → 3H<sub>2</sub>(g) + CO(g)</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>Calculate the standard free energy change, Δ<em>G</em><sup>Θ</sup>, in kJ, for the reaction at 298 K using your answer to (b)(ii).</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>Determine the temperature, in K, above which the reaction becomes spontaneous.</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><em>bonds broken:</em> 4(C–H) + 2(H–O)/4(414) + 2(463)/2582 <strong>«</strong>kJ<strong>»</strong></p>
<p><em>bonds made: </em>3(H–H) + C≡O/3(436) + 1077/2385 <strong>«</strong>kJ<strong>»</strong></p>
<p>Δ<em>H </em><strong>«</strong>= ΣBE<sub>(bonds broken)</sub> – ΣBE<sub>(bonds made)</sub> = 2582 – 2385<strong>» =</strong> <strong>«</strong>+<strong>» </strong>197 <strong>«</strong>kJ<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for –197 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>.</em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\text{f}}^\Theta ">
<mi mathvariant="normal">Δ</mi>
<msubsup>
<mi>H</mi>
<mrow>
<mtext>f</mtext>
</mrow>
<mi mathvariant="normal">Θ</mi>
</msubsup>
</math></span> for any element = 0 <strong>«</strong>by definition<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>no energy required to form an element <strong>«</strong>in its stable form<strong>» </strong>from itself</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>ΔH</em><sup>Θ</sup> <strong>« =</strong> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sum {\Delta H_{\text{f}}^\Theta } ">
<mo>∑</mo>
<mrow>
<mi mathvariant="normal">Δ</mi>
<msubsup>
<mi>H</mi>
<mrow>
<mtext>f</mtext>
</mrow>
<mi mathvariant="normal">Θ</mi>
</msubsup>
</mrow>
</math></span><sub>(products)</sub> – <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sum {\Delta H_{\text{f}}^\Theta } ">
<mo>∑</mo>
<mrow>
<mi mathvariant="normal">Δ</mi>
<msubsup>
<mi>H</mi>
<mrow>
<mtext>f</mtext>
</mrow>
<mi mathvariant="normal">Θ</mi>
</msubsup>
</mrow>
</math></span><sub>(reactants)</sub> = –111 + 0 – [–74.0 + (–242)]<strong>»</strong></p>
<p>= <strong>«</strong>+<strong>» </strong>205 <strong>«</strong>kJ<strong>»</strong></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><strong>«</strong>Δ<em>S</em><sup>Θ</sup> = Σ<em>S</em><sup>Θ</sup><sub>products</sub> – Σ<em>S</em><sup>Θ</sup><sub>reactants</sub> = 198 + 3 × 131 – (186 + 189) =<strong>» «</strong>+<strong>» </strong>216 <strong>«</strong>J K<sup>–1</sup><strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>Δ<em>G</em><sup>Θ</sup> = Δ<em>H</em><sup>Θ</sup> – TΔ<em>S</em><sup>Θ</sup> = 205 kJ – 298 K × <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{216}}{{1000}}">
<mfrac>
<mrow>
<mn>216</mn>
</mrow>
<mrow>
<mn>1000</mn>
</mrow>
</mfrac>
</math></span> kJ K<sup>–1</sup> =<strong>» «</strong>+<strong>» </strong>141 <strong>«</strong>kJ<strong>»</strong></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><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = TΔ<em>S</em><sup>Θ</sup><strong>»</strong></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{T}} = \frac{{\Delta {H^\Theta }}}{{\Delta {S^\Theta }}} = \frac{{205000{\text{ J}}}}{{216{\text{ J }}{{\text{K}}^{ - 1}}}}">
<mrow>
<mtext>T</mtext>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>H</mi>
<mi mathvariant="normal">Θ</mi>
</msup>
</mrow>
</mrow>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mrow>
<msup>
<mi>S</mi>
<mi mathvariant="normal">Θ</mi>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mn>205000</mn>
<mrow>
<mtext> J</mtext>
</mrow>
</mrow>
<mrow>
<mn>216</mn>
<mrow>
<mtext> J </mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span><strong>»</strong></p>
<p><strong>«</strong>T =<strong>» </strong>949 <strong>«</strong>K<strong>»</strong></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>award a mark for negative value </em><em>of T.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Hydrogen and iodine react to form hydrogen iodide.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub> (g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2H<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math> (g)</p>
</div>
<div class="specification">
<p>The following experimental data was obtained.</p>
<p><img 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"></p>
</div>
<div class="specification">
<p>Consider the reaction of hydrogen with solid iodine.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub> (s) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2H<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math> (g) Δ<em>H</em><sup>⦵</sup> = +53.0 kJ mol<sup>−1</sup></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the order of reaction with respect to hydrogen.</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 rate expression for the reaction.</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 value of the rate constant stating its units.</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>State <strong>two</strong> conditions necessary for a successful collision between reactants.</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>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</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>Calculate the entropy change of reaction, Δ<em>S</em><sup>⦵</sup>, in J K<sup>−1</sup> mol<sup>−1</sup>.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></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>Predict, giving a reason, how the value of the ΔS<sup>⦵</sup><sub>reaction</sub> would be affected if <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>I</mtext><mn>2</mn></msub></math> (g) were used as a reactant.</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>Calculate the Gibbs free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ mol<sup>−1</sup>, for the reaction at 298 K. Use section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the equilibrium constant, <em>K</em><sub>c</sub>, for this reaction at 298 K. Use your answer to (d)(iii) and sections 1 and 2 of the data booklet.</p>
<p>(If you did not obtain an answer to (d)(iii) use a value of 2.0 kJ mol<sup>−1</sup>, although this is not the correct answer).</p>
<div class="marks">[2]</div>
<div class="question_part_label">d(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>first order ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Rate=<em>k</em> [H<sub>2</sub>] [<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub>]</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>k</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi mathvariant="normal">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>20</mn></math> ✔</p>
<p>mol<sup>–1</sup> dm<sup>3</sup> s<sup>–1</sup> ✔</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>E</em> ≥ <em>E</em><sub>a</sub> <em><strong>AND</strong> </em>appropriate «collision» geometry/correct orientation ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi mathvariant="normal">c</mi></msub><mo>=</mo><mfrac><msup><mfenced open="[" close="]"><mi>HI</mi></mfenced><mn>2</mn></msup><mrow><mfenced open="[" close="]"><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub></mfenced><mfenced open="[" close="]"><msub><mi mathvariant="normal">I</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> = 2 × 206.6 – (130.6 + 116.1) =» 166.5 «J K<sup>–1</sup> mol<sup>–1</sup>» ✔</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>same number of moles of gas</p>
<p><em><strong>OR</strong></em></p>
<p>Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>a solid has less entropy than a gas ✔</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em><sup>⦵</sup> = 53.0 kJ mol<sup>–1</sup> – (298K × 0.1665 kJ K<sup>–1</sup> mol<sup>–1</sup>) =» 3.4 «kJ mol<sup>–1</sup>» ✔</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«ln <em>K</em><sub>c</sub>= – (3.4 × 10<sup>3</sup> J mol<sup>–1</sup> /8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K)» = –1.37 ✔</p>
<p>«<em>K</em><sub>c</sub> =» 0.25 ✔</p>
<p><em>Award <strong>[2]</strong> for “0.45” for the use of 2.0 kJ mol<sup>–1</sup> for ΔG</em><sup>⦵</sup><em>.</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>4(a)(i)-(iii): Deduction of rate orders and rate expression were very well done overall, with occasional errors in the units of the rate constant, but clearly among the best answered questions.</p>
<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;">
<p>Generally well answered by all but very weak candidates. Some teachers thought this should be a 2-mark question but actually the marks were generally missed when students mentioned both required conditions but failed to refer the necessary energy to <em>E<sub>a</sub></em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>One of the best answered questions.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ΔS was well calculated in general except for some inverted calculations or failure to consider the ratios of the reactants.<br><br></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some candidates confused the entropy change in this situation with absolute entropy of a solid and gas, or having realised that entropy would decrease lacked clarity in their explanations and lost the mark.</p>
<p>4(d)(ii)-(d)(iv): marks were lost due to inconsistency of units throughout, i.e., not because answers were given in different units to those required, but because candidates failed to convert all data to the same unit for calculations.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Limestone can be converted into a variety of useful commercial products through the lime cycle. Limestone contains high percentages of calcium carbonate, CaCO<sub>3</sub>.</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" 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" width="538" height="218"></p>
</div>
<div class="specification">
<p>Thermodynamic data for the decomposition of calcium carbonate is given.</p>
<p><img 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"></p>
</div>
<div class="specification">
<p>The second step of the lime cycle produces calcium hydroxide, Ca(OH)<sub>2</sub>.</p>
</div>
<div class="specification">
<p>Calcium hydroxide reacts with carbon dioxide to reform calcium carbonate.</p>
<p style="text-align: center;">Ca(OH)<sub>2 </sub>(aq) + CO<sub>2 </sub>(g) → CaCO<sub>3</sub> (s) + H<sub>2</sub>O (l)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calcium carbonate is heated to produce calcium oxide, CaO.</p>
<p style="text-align:center;">CaCO<sub>3 </sub>(s) → CaO (s) + CO<sub>2 </sub>(g)</p>
<p>Calculate the volume of carbon dioxide produced at STP when 555 g of calcium carbonate decomposes. Use sections 2 and 6 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the enthalpy change of reaction, <em>ΔH</em>, in kJ, for the decomposition of calcium carbonate.</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>Calculate the change in entropy, Δ<em>S</em>, in J K<sup>−1</sup>, for the decomposition of calcium carbonate.</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>Determine the temperature, in K, at which the decomposition of calcium carbonate becomes spontaneous, using b(i), b(ii) and section 1 of the data booklet.</p>
<p>(If you do not have answers for b(i) and b(ii), use Δ<em>H</em> = 190 kJ and Δ<em>S</em> = 180 J K<sup>−1</sup>, but these are not the correct answers.)</p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch an energy profile for the decomposition of calcium carbonate based on your answer to b(i), labelling the axes and activation energy, <em>E</em><sub>a</sub>.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State how adding a catalyst to the reaction would impact the enthalpy change of reaction, Δ<em>H</em>, and the activation energy, <em>E</em><sub>a</sub>.</p>
<p><img src="data:image/png;base64,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" width="679" height="174"></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>Write the equation for the reaction of Ca(OH)<sub>2 </sub>(aq) with hydrochloric acid, HCl (aq).</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>Determine the volume, in dm<sup>3</sup>, of 0.015 mol dm<sup>−3</sup> calcium hydroxide solution needed to neutralize 35.0 cm<sup>3</sup> of 0.025 mol dm<sup>−3</sup> HCl (aq).</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>Saturated calcium hydroxide solution is used to test for carbon dioxide. Calculate the pH of a 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> solution of calcium hydroxide, a strong base.</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>Determine the mass, in g, of CaCO<sub>3 </sub>(s) produced by reacting 2.41 dm<sup>3</sup> of 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> of Ca(OH)<sub>2</sub> (aq) with 0.750 dm<sup>3</sup> of CO<sub>2</sub> (g) at STP.</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>2.85 g of CaCO<sub>3</sub> was collected in the experiment in d(i). Calculate the percentage yield of CaCO<sub>3</sub>.</p>
<p>(If you did not obtain an answer to d(i), use 4.00 g, but this is not the correct value.)</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how <strong>one</strong> calcium compound in the lime cycle can reduce a problem caused by acid deposition.</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>«<em>n</em><sub>CaCO3</sub> = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>555</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>11</mn><mo>.</mo><mn>09</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 5.55 «mol» ✓</p>
<p>«<em>V</em> = 5.55 mol × 22.7 dm<sup>3</sup> mol<sup>−1</sup> =» 126 «dm<sup>3</sup>» ✓</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept method using pV = nRT to obtain the volume with p as either 100 kPa (126 dm<sup>3</sup>) or 101.3 kPa (125 dm<sup>3</sup>).</em></p>
<p><em>Do not penalize use of 22.4 dm<sup>3</sup> mol<sup>–1</sup> to obtain the volume (124 dm<sup>3</sup>).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>ΔH</em> =» (−635 «kJ» – 393.5 «kJ») – (−1207 «kJ») ✓</p>
<p>«<em>ΔH</em> = + » 179 «kJ» ✓</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award<strong> [1 max]</strong> for −179 kJ.</em></p>
<p><em>Ignore an extra step to determine total enthalpy change in kJ: 179 kJ mol<sup>-1</sup> x 5.55 mol = 993 kJ.</em></p>
<p><em>Award <strong>[2]</strong> for an answer in the range 990 - 993« kJ».</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S</em> = (40 J K<sup>−1</sup> + 214 J K<sup>−1</sup>) − (93 J K<sup>−1</sup>) =» 161 «J K<sup>−1</sup>» ✓</p>
<p><em><br>Ignore an extra step to determine total entropy change in JK<sup>–1</sup>: 161 J mol<sup>–1</sup>K<sup>–1</sup> x 5.55 mol = 894 «J mol<sup>–1</sup>K<sup>–1</sup>»</em></p>
<p><em>Award <strong>[1]</strong> for 894 «J mol<sup>–1</sup>K<sup>–1</sup>».</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«spontaneous» if Δ<em>G</em> = Δ<em>H</em> − <em>T</em>Δ<em>S</em> < 0<br><em><strong>OR</strong></em><br>Δ<em>H</em> < <em>T</em>Δ<em>S</em> ✓</p>
<p>«<em>T</em> ><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>179</mn><mo> </mo><mi>kJ</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>16</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 1112 «K» ✓</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept “1056 K” if both of the incorrect values are used to solve the problem.</em></p>
<p><em>Do <strong>not</strong> award M2 for any negative T value.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>endothermic sketch ✓</p>
<p>x-axis labelled “extent of reaction/progress of reaction/reaction coordinate/reaction pathway” <em><strong>AND</strong> </em>y-axis labelled “potential energy/energy/enthalpy✓</p>
<p>activation energy/<em>E</em><sub>a</sub> ✓</p>
<p><img 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"></p>
<p><em><br>Do <strong>not</strong> accept “time” for x-axis.</em></p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em> same <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✓</p>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Ca(OH)<sub>2 </sub>(aq) + 2HCl (aq) → 2H<sub>2</sub>O (l) + CaCl<sub>2 </sub>(aq) ✓</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>n</em><sub>HCl</sub> = 0.0350 dm<sup>3</sup> × 0.025 mol dm<sup>−3</sup> =» 0.00088 «mol»</p>
<p><em><strong>OR</strong></em><br><em>n</em><sub>Ca(OH)2</sub> = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> <em>n</em><sub>HCl</sub>/0.00044 «mol» ✓</p>
<p><br>«<em>V</em> = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mstyle displaystyle="true"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>00088</mn><mo> </mo><mi>mol</mi></mstyle><mrow><mn>0</mn><mo>.</mo><mn>015</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> =» 0.029 «dm<sup>3</sup>» ✓</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1 max]</strong> for 0.058 «dm<sup>3</sup>».</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>Alternative 1:</strong></em></p>
<p>[OH<sup>−</sup>] = « 2 × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>
<p>«[H<sup>+</sup>] = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>0466</mn></mrow></mfrac></math> = 2.15 × 10<sup>−13 </sup>mol dm<sup>−3</sup>»</p>
<p>pH = « −log (2.15 × 10−13) =» 12.668 ✓</p>
<p> </p>
<p><em><strong>Alternative 2:</strong></em></p>
<p>[OH<sup>−</sup>] =« 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>
<p>«pOH = −log (0.0466) = 1.332»</p>
<p>pH = «14.000 – pOH = 14.000 – 1.332 =» 12.668 ✓</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1 max]</strong> for pH =12.367.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>n</em><sub>Ca(OH)2</sub> = 2.41 dm<sup>3</sup> × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0562 «mol» <em><strong>AND</strong></em></p>
<p>«<em>n</em><sub>CO2</sub> =<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>750</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow><mrow><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math>=» 0.0330 «mol» ✓</p>
<p>«CO<sub>2</sub> is the limiting reactant»</p>
<p>«<em>m</em><sub>CaCO3</sub> = 0.0330 mol × 100.09 g mol<sup>−1</sup> =» 3.30 «g» ✓</p>
<p> </p>
<p><em>Only award ECF for M2 if limiting reagent is used.</em></p>
<p><em>Accept answers in the range 3.30 - 3.35 «g».</em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>85</mn></mrow><mrow><mn>3</mn><mo>.</mo><mn>30</mn></mrow></mfrac></math> × 100 =» 86.4 «%» ✓</p>
<p> </p>
<p><em>Accept answers in the range 86.1-86.4 «%».</em></p>
<p><em>Accept “71.3 %” for using the incorrect given value of 4.00 g.</em></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«add» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO <em><strong>AND</strong> </em>to «acidic» water/river/lake/soil<br><em><strong>OR</strong></em><br>«use» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO in scrubbers «to prevent release of acidic pollution» ✓</p>
<p> </p>
<p><em>Accept any correct name for any of the calcium compounds listed.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(v).</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">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethanol and methanoic acid are important industrial products.</p>
</div>
<div class="specification">
<p>Ethanol is used as a fuel.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write the chemical equation for the complete combustion of ethanol.</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 change in enthalpy, Δ<em>H</em>, in kJ, when 56.00 g of ethanol is burned. Use section 13 in the data booklet.</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>Oxidation of ethanol with potassium dichromate, K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>, can form two different organic products. Determine the names of the organic products and the methods used to isolate them.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write the equation and name the organic product when ethanol reacts with methanoic acid.</p>
<p><img 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" width="667" height="189"></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>Sketch the titration curve of methanoic acid with sodium hydroxide, showing how you would determine methanoic acid p<em>K</em><sub>a</sub>.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></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>Identify an indicator that could be used for the titration in 5(d)(i), using section 22 of the data booklet.</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>Determine the concentration of methanoic acid in a solution of pH = 4.12. Use section 21 of the data booklet.</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>Identify if aqueous solutions of the following salts are acidic, basic, or neutral.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>CH<sub>2</sub>OH (l) + 3O<sub>2 </sub>(g) → 2CO<sub>2 </sub>(g) + 3H<sub>2</sub>O (g) ✓</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>n</em> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>56</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>46</mn><mo>.</mo><mn>08</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math> =» 1.215 «mol» ✓</p>
<p>«1.215mol × (−1367 kJ mol<sup>−1</sup>) =» −1661 «kJ» ✓</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1 max]</strong> for “«+»1661 «kJ»”.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ethanal <em><strong>AND</strong> </em>distillation ✓</p>
<p>ethanoic acid <em><strong>AND</strong></em> reflux «followed by distillation» ✓</p>
<p><em><br>Award <strong>[1]</strong> for both products <strong>OR</strong> both methods.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Equation:</em><br>CH<sub>3</sub>CH<sub>2</sub>OH + HCOOH <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> HCOOCH<sub>2</sub>CH<sub>3</sub> + H<sub>2</sub>O ✓</p>
<p><em>Product name:</em><br>ethyl methanoate ✓</p>
<p><em><br>Accept equation without equilibrium arrows.</em></p>
<p><em>Accept equation with molecular formulas (C<sub>2</sub>H<sub>6</sub>O + CH<sub>2</sub>O<sub>2</sub> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> C<sub>3</sub>H<sub>6</sub>O<sub>2</sub> + H<sub>2</sub>O) only if product name is correct.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="328" height="256"></p>
<p>increasing S-shape pH curve ✓</p>
<p>p<em>K</em><sub>a</sub>: pH at half neutralization/equivalence ✓</p>
<p><em><br>M1: Titration curve must show buffer region at pH <7 and equivalence at pH >7.</em></p>
<p><em>Ignore other parts of the curve, i.e., before buffer region, etc.</em></p>
<p><em>Accept curve starting from where two axes meet as pH scale is not specified.</em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>phenolphthalein<br><em><strong>OR</strong></em><br>phenol red ✓</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>Alternative 1:</strong></em><br><em>K</em><sub>a</sub> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mfenced open="[" close="]"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></mfenced><mfenced open="[" close="]"><msup><mi>HCOO</mi><mo>-</mo></msup></mfenced></mrow><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math><br><em><strong>OR</strong></em><br>[HCOOH] = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><msup><mfenced><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>12</mn></mrow></msup></mfenced><mn>2</mn></msup><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn><mo>.</mo><mn>75</mn></mrow></msup></mfrac></math>✓</p>
<p>«[HCOOH] =» 3.24 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✓</p>
<p> </p>
<p><em><strong>Alternative 2:</strong></em><br>«pH = p<em>K</em><sub>a</sub> + log <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mfenced open="[" close="]"><msup><mi>HCOO</mi><mo>-</mo></msup></mfenced><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math>»<br>4.12 = 3.75 + log<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>12</mn></mrow></msup><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math> ✓</p>
<p>«[HCOOH] =» 3.24 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✓</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Sodium methanoate:</em> basic</p>
<p><em>Ammonium chloride:</em> acidic</p>
<p><em>Sodium nitrate:</em> neutral ✓ ✓</p>
<p><em><br>Award <strong>[2]</strong> for three correct.</em></p>
<p><em>Award <strong>[1]</strong> for two correct.</em></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(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(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Copper forms two chlorides, copper(I) chloride and copper(II) chloride.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Two electrolysis cells were assembled using graphite electrodes and connected in series as shown.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><img src="data:image/png;base64,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"></span></p>
<p> </p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Copper(I) chloride undergoes a disproportionation reaction, producing copper(II) chloride and copper.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2Cu<sup>+</sup> (aq) → Cu (s) + Cu<sup>2+</sup> (aq)</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Dilute copper(II) chloride solution is light blue, while copper(I) chloride solution is colourless.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the electron configuration of the Cu<sup>+</sup> ion.</span></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><span style="background-color: #ffffff;">Copper(II) chloride is used as a catalyst in the production of chlorine from hydrogen chloride.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">4HCl (g) + O<sub>2</sub> (g) → 2Cl<sub>2</sub> (g) + 2H<sub>2</sub>O (g)</span></p>
<p><span style="background-color: #ffffff;">Calculate the standard enthalpy change, Δ<em>H</em><sup>θ</sup>, in kJ, for this reaction, using section 12 of the data booklet.</span></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><span style="background-color: #ffffff;">The diagram shows the Maxwell–Boltzmann distribution and potential energy profile for the reaction without a catalyst.</span></p>
<p><span style="background-color: #ffffff;">Annotate both charts to show the activation energy for the catalysed reaction, using the label <em>E</em><sub>a (cat)</sub>.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right:auto;margin-left:auto;display: block;" 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" width="657" height="313"></span></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><span style="background-color: #ffffff;">Explain how the catalyst increases the rate of the reaction.</span></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><span style="background-color: #ffffff;">Solid copper(II) chloride absorbs moisture from the atmosphere to form a hydrate of formula CuCl<sub>2</sub>•<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math>H<sub>2</sub>O.</span></p>
<p><span style="background-color: #ffffff;">A student heated a sample of hydrated copper(II) chloride, in order to determine the value of <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math>. The following results were obtained:</span></p>
<p><span style="background-color: #ffffff;">Mass of crucible = 16.221 g<br>Initial mass of crucible and hydrated copper(II) chloride = 18.360 g<br>Final mass of crucible and anhydrous copper(II) chloride = 17.917 g</span></p>
<p><span style="background-color: #ffffff;">Determine the value of <em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math></em>.</span></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><span style="background-color: #ffffff;">State how current is conducted through the wires and through the electrolyte.</span></p>
<p><span style="background-color: #ffffff;">Wires: </span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Electrolyte:</span></span></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><span style="background-color: #ffffff;">Write the half-equation for the formation of gas bubbles at electrode 1.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Bubbles of gas were also observed at another electrode. Identify the electrode and the gas.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Electrode number (on diagram):</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Name of gas: </span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the half-equation for the formation of the gas identified in (c)(iii).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the enthalpy of solution of copper(II) chloride, using data from sections 18 and 20 of the data booklet.</span></p>
<p><span style="background-color: #ffffff;">The enthalpy of hydration of the copper(II) ion is −2161 kJ mol<sup>−1</sup>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Calculate the cell potential at 298 K for the disproportionation reaction, in V, using section 24 of the data booklet.</span></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><span style="background-color: #ffffff;">Comment on the spontaneity of the disproportionation reaction at 298 K.</span></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><span style="background-color: #ffffff;">Calculate the standard Gibbs free energy change, Δ<em>G</em><sup>θ</sup>, to two significant figures, for the disproportionation at 298 K. Use your answer from (e)(i) and sections 1 and 2 of the data booklet.</span></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><span style="background-color: #ffffff;">Suggest, giving a reason, whether the entropy of the system increases or decreases during the disproportionation.</span></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><span style="background-color: #ffffff;">Deduce, giving a reason, the sign of the standard enthalpy change, Δ<em>H</em><sup>θ</sup>, for the disproportionation reaction at 298 K.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict, giving a reason, the effect of increasing temperature on the stability of copper(I) chloride solution.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe how the blue colour is produced in the Cu(II) solution. Refer to section 17 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce why the Cu(I) solution is colourless.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">When excess ammonia is added to copper(II) chloride solution, the dark blue complex ion, [Cu(NH<sub>3</sub>)<sub>4</sub>(H<sub>2</sub>O)<sub>2</sub>]<sup>2+</sup>, forms.</span></p>
<p><span style="background-color: #ffffff;">State the molecular geometry of this complex ion, and the bond angles within it.</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Molecular geometry:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Bond angles: </span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Examine the relationship between the Brønsted–Lowry and Lewis definitions of a base, referring to the ligands in the complex ion [CuCl<sub>4</sub>]<sup>2−</sup>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">[Ar] 3d<sup>10</sup><br><strong><em>OR</em></strong><br>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 3d<sup>10</sup> ✔</span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>H</em><sup>θ</sup> = ΣΔ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span><sub>f</sub> (products) − ΣΔ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span><sub>f</sub> (reactants) ✔<br>Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = 2(−241.8 «kJ mol<sup>−1</sup>») − 4(−92.3 «kJ mol<sup>−1</sup>») = −114.4 «kJ» ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"> NOTE: Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="296" height="255"></p>
<p><span style="background-color: #ffffff;"><em>E</em><sub>a (cat)</sub> to the left of <em>E</em><sub>a</sub> ✔ </span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><img 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" width="296" height="250"></span></p>
<p><span style="background-color: #ffffff;">peak lower <em><strong>AND</strong> E</em><sub>a (cat)</sub> smaller ✔</span></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«catalyst provides an» alternative pathway ✔</span></p>
<p><span style="background-color: #ffffff;">«with» lower <em>E</em><sub>a</sub><br><em><strong>OR</strong></em><br>higher proportion of/more particles with «kinetic» <em>E</em> ≥ <em>E</em><sub>a(cat)</sub> «than <em>E</em><sub>a</sub>» ✔</span></p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">mass of H<sub>2</sub>O = «18.360 g – 17.917 g =» 0.443 «g» <em><strong>AND</strong> </em>mass of CuCl<sub>2</sub> = «17.917 g – 16.221 g =» 1.696 «g» ✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;">moles of H<sub>2</sub>O = «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.443{\text{g}}}}{{18.02{\text{g mo}}{{\text{l}}^{ - 1}}}}"><mfrac><mrow><mn>0.443</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>18.02</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac></math></span>=» 0.0246 «mol»<br><em><strong>OR</strong></em><br>moles of CuCl<sub>2</sub> =<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">«</span><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.696{\text{g}}}}{{134.45{\text{g mo}}{{\text{l}}^{ - 1}}}}"><mfrac><mrow><mn>1.696</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>134.45</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac></math></span>= » 0.0126 «mol» ✔<br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">«water : copper(II) chloride = 1.95 : 1»<br></span></p>
<p><span style="background-color: #ffffff;">«<em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math></em> =» 2 ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept «<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math> =» 1.95.</span></em></p>
<p><em><span style="background-color: #ffffff;">NOTE: Award<strong> [3]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Wires</em>:<br>«delocalized» electrons «flow» ✔<br></span></p>
<p><span style="background-color: #ffffff;"><em>Electrolyte</em>:<br>«mobile» ions «flow» ✔</span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup><br><em><strong>OR</strong></em><br>Cl<sup>−</sup> → <span class="mjpage"><math alttext="\frac{1}{2}" xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> </math></span>Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept e for e<sup>−</sup>.</span></em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«electrode» 3 <em><strong>AND</strong> </em>oxygen/O<sub>2</sub> ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept chlorine/Cl<sub>2</sub>.</span></em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2H<sub>2</sub>O (l) → 4H<sup>+</sup> (aq) + O<sub>2</sub> (g) + 4e<sup>–</sup> ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept 2Cl<sup>–</sup> (aq) → Cl<sub>2</sub> (g) + 2e<sup>–</sup>.<br>Accept 4OH<sup>−</sup> → 2H<sub>2</sub>O + O<sub>2</sub> + 4e<sup>−</sup></span></em></p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">enthalpy of solution = lattice enthalpy + enthalpies of hydration «of Cu<sup>2+</sup> and Cl<sup>−</sup>» ✔</span></p>
<p><span style="background-color: #ffffff;">«+2824 kJ mol<sup>–1</sup> − 2161 kJ mol<sup>–1</sup> − 2(359 kJ mol<sup>–1</sup>) =» −55 «kJ mol<sup>–1</sup>» ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept enthalpy cycle. <br>Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>E</em><sup>θ</sup> = «+0.52 – 0.15 = +» 0.37 «V» ✔</span></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">spontaneous <em><strong>AND</strong> E</em><sup>θ</sup> positive ✔</span></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>G</em><sup>θ</sup> = «−<em>nFE</em> = −1 mol × 96 500 C Mol<sup>–1</sup> × 0.37 V=» −36 000 J/−36 kJ ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept “−18 kJ mol<sup>–1</sup> «per mole of Cu<sup>+</sup>»”.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept values of n other than 1.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Apply SF in this question.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Accept J/kJ or J mol<sup>−1</sup>/kJ mol<sup>−1</sup> for units.</span></em></p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2 mol (aq) → 1 mol (aq) <em><strong>AND</strong> </em>decreases ✔</span></p>
<p><em>NOTE: <span style="background-color: #ffffff;">Accept “solid formed from aqueous solution <strong>AND</strong> decreases”.<br>Do <strong>not</strong> accept 2 mol <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">→</span> 1 mol without (aq).</span></em></p>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>G</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> </span><span style="background-color: #ffffff;">< 0</span><span style="background-color: #ffffff;"> <strong>AND</strong> </span><span style="background-color: #ffffff;">Δ</span><span style="background-color: #ffffff;"><em>S</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 <strong>AND</strong> Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span></span><span style="background-color: #ffffff;"> < 0</span><em><span style="background-color: #ffffff;"><br><strong>OR</strong><br></span></em><span style="background-color: #ffffff;">Δ<em>G</em></span><span style="background-color: #ffffff;"><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> + <em>T</em>Δ<em>S</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 <strong>AND</strong> Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 ✔</span></p>
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>T</em>Δ<em>S</em> more negative «reducing spontaneity» <em><strong>AND</strong> </em>stability increases ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept calculation showing non-spontaneity at 433 K.</span></em></p>
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«ligands cause» d-orbitals «to» split ✔</span></p>
<p><span style="background-color: #ffffff;">light absorbed as electrons transit to higher energy level «in d–d transitions»<br><em><strong>OR</strong></em><br>light absorbed as electrons promoted ✔</span></p>
<p><span style="background-color: #ffffff;">energy gap corresponds to «orange» light in visible region of spectrum ✔</span></p>
<p><span style="background-color: #ffffff;">colour observed is complementary ✔</span></p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">full «3»d sub-level/orbitals<br><em><strong>OR</strong></em><br>no d–d transition possible «and therefore no colour» ✔</span></p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">octahedral <em><strong>AND</strong> </em>90° «180° for axial» ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept square-based bi-pyramid.</span></em></p>
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any <strong>two </strong>of:</em><br>ligand/chloride ion Lewis base <em><strong>AND</strong> </em>donates e-pair ✔<br>not Brønsted–Lowry base <em><strong>AND</strong> </em>does not accept proton/H<sup>+</sup> ✔<br>Lewis definition extends/broader than Brønsted–Lowry definition ✔</span></p>
<div class="question_part_label">f(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(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">a(iv).</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">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(iv).</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">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Properties of elements and their compounds can be related to the position of the elements in the periodic table.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the decrease in atomic radius from Na to Cl.</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>Explain why the radius of the sodium ion, Na<sup>+</sup>, is smaller than the radius of the oxide ion, O<sup>2−</sup>.</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>Sketch a graph to show the relative values of the successive ionization energies of boron.</p>
<p><img src="data:image/png;base64,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"></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>Predict, giving your reasons, whether Mn<sup>2+</sup> or Fe<sup>2+</sup> is likely to have a more exothermic enthalpy of hydration.</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>nuclear charge/number of protons/Z<sub>eff</sub> increases «causing a stronger pull on the outer electrons» ✔</p>
<p>same number of shells/«outer» energy level/shielding ✔</p>
<p><em> </em></p>
<p><em>Accept “atomic number” for “number of protons”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>isoelectronic/same electronic configuration/«both» have 2.8 ✔</p>
<p>more protons in Na<sup>+</sup> ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Sketch showing:</em></p>
<p>largest increase between third and fourth ionization energies ✔</p>
<p>IE<sub>1</sub> < IE<sub>2</sub> < IE<sub>3</sub> < IE<sub>4</sub> < IE<sub>5</sub> ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Fe<sup>2+</sup> <em><strong>AND</strong> </em>smaller size/radius</p>
<p><em><strong>OR</strong></em></p>
<p>Fe<sup>2+</sup> <em><strong>AND</strong></em> higher charge density ✔</p>
<p> </p>
<p>stronger interaction with «polar» water molecules ✔</p>
<p> </p>
<p><em>M1 not needed for M2.</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><span style="background-color: #ffffff;">This question is about sodium and its compounds.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">The Born-Haber cycle for sodium oxide is shown (not to scale).</span></p>
<p><span style="background-color: #ffffff;"><img src="images/3d.PNG" alt width="391" height="427"></span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Sodium peroxide is used in diving apparatus to produce oxygen from carbon dioxide.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2Na<sub>2</sub>O<sub>2</sub> (s) + 2CO<sub>2</sub> (g) → 2Na<sub>2</sub>CO<sub>3</sub> (s) + O<sub>2</sub> (g)</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Plot the relative values of the first four ionization energies of sodium.</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAiYAAAFMCAYAAAD/SXfnAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABzWSURBVHhe7d1/sFVl/S/wp/t35+AdR2cSK/NylR/ffo0iyDi3EREQ/WpkX5Qsx1KGH6Zj3gTxpqYY/qiIJBEHLaP8UpYg1TfNUL46DgrYXPuBoMMtU7AZGecK3v+7fJ6z1nFzOse9D2cTD+zXa2bP2uvZ+6y99t7ieu/P86xnve/v+yQAgAL8l2oJAHDICSYAQDEEEwCgGIIJAFAMwaQgW1/alqZMOSc9svYXVQsAdBZn5RTk32ZcnP735k3pvx59dHrk0UfThz54fPUIAHQGFZNCPLjqoRxKwv996610yy235vsA0EkEkwK89vrOdM93v1OtpfTJ08alp9f/VpcOAB1HMClAVEeiSnLN/Ovz+te/fnNe3nHbrWnPnr35PgB0AsHkEHti/VO5OvLfTh6Zvjxvdm4bM3pUumLel3NYufnrt+Q2AOgEgskhFNWQ/7Vgfr5/y637jymZO3tWDiu/WrsmPb9pS9UKAEc2weQQ+ta3l+SqSFRHxo8bW7X2GDasuzes3HzTTbp0AOgIgskhElWQ1at+mKsiUR3pT4SV86Z/Jv2fl7ene+9bWbUCwJFLMDkEovoRVZDwP6+7LldHBnLL12/O85rcv/x7eQI2ADiSCSaHwI8eWp2rIFENmTxpYtXavwgt13+tJ8R83UBYAI5wgsk/WcxZsvSuO3IVJKohrbhw+vnpU5POzhOwGQgLwJHMlPSHwPeW35dOOum/91stGXHCR9KOV/9Srb0rAs0vfvkf6fx/PddU9QAcsQSTwgwUTACgE+jKAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmTby9Z0+aNu28dOuixenZjc9XrQDAwfC+v+9T3WcAs+fMS08+/li+f9LoMWn86RPSxLMmpjMmjM9t7TTihI+kHa/+pVoDgM4imLTo1b++ln67/qn0wpbN+4WUSZOnpEn7QsrHPjomtw2VYAJAJxNMDkAdUu5fcW96a/ebuW1sVFEmnZ1mXX5ZXj9QggkAncwYk0GKcSarVv24N5Qcfcyx6dLLZ+XH7lx0Sx6LAgAcGBWTFtQVkqfW/zZteW5jbjtr6jnpzIlnpYtnXJjXw5Kly9LypUvSg/+++oDHn6iYANDJVEyaiLNyJn3qU7kaEhbceHNa//TT6b4Vy/cLJWHkyJOrewDAgVAxaUF0z7RyFk6EmLff3pNO+PCHqpbBUzEBoJMJJi2IwNHMUcOGVfeGRjABoJMJJk1EKDn145+o1gZWnzp87TVXVS0HRjABoJMZY9JEVEJioGuI8DHvmmvzbfqMi/IZOSHWx/zLv+SBr87KAYADp2LSgpiSPoLHN++6o2rpEacOX/a5mXlAbMxfUp+VE4NjD3SciYoJAJ1MxaSJXz/+RHrlpa3pzIkTq5Z3xWDYmFgtTiMO9Vk5L23bnpcAwOAIJk10d3fn5a5db+RlX3v27End1cDXvXvfyUsA4MAIJk1EVSTGlsRMrysfeLDnlOB9tz/8cWseTxLVlFPHnpbbNjz1ZB53Mm3q5OqvAYDBMMakBRFCbl+8uHfW10Yx8DXOxInQEpOw1eNNDpQxJgB0MsFkEGK8yfbtL+f7XV1dadxpY3uvKhzT1kdXzlCvMiyYANDJBJMWRJfNpz99wZBDRysEEwA6mTEmTUSVZNUDK51pAwD/BIJJExNOH5cHtL7yck8XDgBw8OjKacF1869Pax/+aQ4oJ44YUbW+a9ToMemmG2+o1oZGVw4AnUzFpAU7X389T6TWXygBANpHxaQwKiYAdDIVk0GIa+PE9XBizpIQA2MBgPZRMWlBzOo6d8683gnWoltn9eqH0rix43L3zr0rluerELeDigkAnUzFpAULFixMf96xI9294r4cSmo3L1qUw8o3vnF71QIADIVg0kRMR//k44+lK+bM/Ydr4MT69BkXpWc2bKhaAIChEEya2LlrV14OH35cXvb1geOGp7d2v5m7ewCAoRFMmjh++PC83LXrjbzs6+Xt2/LVh9s1xgQAOplg0kRcH+esqeek+1fcu99ZONHFE9fQiW6eSZOnVK0AwFA4K6cF0U0TA2AjhPR16eWz2jbra3BWDgCdTDAZhJjHZPPmLfl+V1dXGjVqZDpjwvi83i6CCQCdTDAZhIEGuLZzfIlgAkAnE0xa8JOHH0nr1q7pnWCtr3rCtXYQTADoZIJJE1ElmTKpZ/6Sc8+/IL2/qyvfbxTdOrMuv6xaGxrBBIBOJpg0EWfiXD1ndlpw481tCx/vRTABoJM5XbiJeh6TgSZYAwDaRzBpIuYxiVOC1z36qNldAeAg05XTgpkzL8kDX48+5th8NeG+Ro0e07a5THTlANDJVExaFGfe9BdKAID2UTEpjIoJAJ1MxQQAKIZgMggxJf2SpcvSygcezOuNF/UDAIZOV04L4mycuXPm9c78Ws/0Om7suDzu5N4Vy9s2Lb2uHAA6mYpJC+LKwn/esSPdveK+HEpqNy9alMPKN75xe9UCAAyFYNLEH/64NT35+GPpijlz07SpPVPT12J9+oyL0jMbNlQtAMBQCCZN7Ny1Ky8Hmvn1A8cNT2/tftPkawDQBoJJE/WU9Lt2vZGXfb28fVs6afSYto0xAYBOJpg0EVPSnzX1nHT/inv3OwsnunhuXbQ4d/NMmjylagUAhsJZOS2IbpoYABshpK+4jk67pqMPzsoBoJMJJoMQ85hs3rwl3+/q6kqjRo1MZ0wYn9fbRTABoJMJJoURTADoZMaYAADFEEwAgGIIJgBAMQQTAKAYgskgxGnD/d0AgPZwVk4LfvLwI2nd2jW9Vxfuq77acDs4KweATiaYNBEVkSmTei7ed+75F6T3d3Xl+41iTpNZl19WrQ2NYAJAJxNMmohp6K+eMzstuPHmtoWP9yKYANDJjDFpor6I30BXFwYA2kcwaSIu4hfXw1n36KMGugLAQaYrpwUzZ16SB74efcyx6cQRI6rWd40aPaZtF/LTlQNAJ1MxaVGcedNfKAEA2kfFpDAqJgB0MsFkEOIMne3bX8734xThUaNGpjMmjM/r7SKYANDJBJMWxKDXuXPm9TvBWgyMbdf4kiCYANDJjDFpwYIFC9Ofd+zIc5msf/rp9MLvX0xrfvmrNO+aa9OqB1amJUuXVc8EAIZCxaSJZzc+ny773MwBJ1i7bv716ZkNG9KmLZuqlqFRMQGgk6mYNLF37968HGiCtQ8cNzy9tftNc5wAQBsIJk3UM7/Wg177enn7tnTS6DHpqGHDqhYA4EDpymnBrYsW57Ek02dclE45dWzq7u5Ku3a9kV7Ysjk9+fhj6ba7vpUunnFh9eyh0ZUDQCcTTFpUh5NGMRPsFXPmtvXifoIJAJ1MMBmEGEey8bmeQa7d3d1tn8MkCCYAdDLBpDCCCQCdTDDpR5wifM+yZenKq67KVZG4iN97cRE/AGgPZ+UAAMVQMSmMigkAnUzFpAVx8b5X//patba/aF/5wIPVGgAwFIJJE3EmztVzZqc1a9dVLfuL9jsX3WLmVwBoA105A4hr4Ox8/fV8P64qHLO7Dutndte4uF9wrRwAGDoVkwGcOXFide+9nThiRPrKdfOrNQBgKFRMWhCnC0+cdHZbZ3gdiIoJAJ1MMBmE/saRvP32nvTStu1p2tTJVcvQCCYAdDLBpAU/efiRtOrBH6RXXtpatexv7OkT0urVD1VrQyOYANDJjDFpwXe+eVd6a/fuNO+aa/Mg2LjV9+NCfjFDLAAwdIJJEzGHyVu738xXEb72mqvSpMlTcuXkS1+8NP376of2BZNj0ubNW6pnAwBDIZi0aPjw4/Jy5MiT8/JPW7elo4YNS+NPn5DWP/Gb3AYADI1g0sTxw4fn5a5db+Rld3d3Xu7cuSsv39/VlSsoJlgDgKETTJr42EfHpLOmnpNnd42p5+NqwzGuZN3aNXlQbFRLYqxJVE8AgKERTFpw552353Dytzd6qiYxoVrM+Pq1+V/Ng2IvveyLuR0AGBqnCx+g6LrZ+NymNOH0cW2tljhdGIBOpmLSgiVLl+Vum0YRRmJStbvvvifdumhx1QoADIVg0kRURpYvXZK7bWKMSV/bXtqabwDA0AkmLYoBrzEAVnUEAA4ewaRFF13y+Tzb66oHVgonAHCQCCaDEDO/Lrjx5hxO4orD5i4BgPYSTAZp1uWXpbtX3JdPF547Z17VCgC0g2ByAOJsnJXf/34OJ1ue21i1AgBDJZg0EacFR4XkM9MvqFp6xIywP/35z/LEa6NGj6laAYChMMFaYUywBkAnE0z68ezG59M9y5alK6+6Kl8bJwa6vpeomNx04w3V2tAIJgB0Ml05AEAxVEwKo2ICQCdTMRmEmLekvxsA0B4qJi2IC/itW7tmwFODx54+Ia1e/VC1NjQqJgB0MsGkiaiITJk0Od8/9/wL0vu7uvL9Rl372mLitXYQTADoZIJJE79+/Il09ZzZeSr6doWP9yKYANDJjDFp4vjhw/Ny+PDj8hIAOHgEkyZihtdLL5+V1j36qIGuAHCQ6cppQUywFgNfjz7m2HTiiBFV67tMsAYA7aFi0qI486a/UAIAtI+KSWFUTADoZComAEAxVEwGIU4d3r795Xw/5i4ZNWpkvshfO6mYANDJBJMWxNk4c+fM63fm1zhjp10DX4NgAkAn05XTggULFqY/79iRJ1lb//TT6YXfv5jW/PJXad4116ZVD6xMS5Yuq54JAAyFikkTz258Pl32uZkDzvx63fzr0zMbNqRNWzZVLUOjYgJAJ1MxaWLv3r15OdDMrx84bnh6a/ebJl8DgDYQTJqop6SvB7329fL2bemk0WPSUcOGVS0AwIHSldOCWxctzmNJps+4KJ1y6tjU3d2Vdu16I72wZXN68vHH0m13fStdPOPC6tlDoysHgE4mmLSoDieNYor6K+bMbetVhwUTADqZYDIIMY5k43M9g1y7u7vbPodJEEwA6GSCST8aA0gr2hlSBBMAOplg0o+Y4fXqObOrtebiAn+rVz9UrQ2NYAJAJxNM+vHqX19La9auq9aai+np2zXORDABoJMJJoURTADoZOYxAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYggmAEAxBBMAoBiCCQBQDMEEACiGYAIAFEMwAQCKIZgAAMUQTACAYrzv7/tU9/knG3HCR6p7AHD42fHqX6p77SOYFCbCysH4og+VI+39HKl8T4cP39Xhw3d1YHTlAADFEEwAgGIIJgBAMQQTAKAY7zP4FQAohYoJAFAMwQQAKIZgAgAUQzABAIohmHBQzZ4zL103//pqjdKsfODBNG7suDxDZdzi+/r1409Uj1KSnzz8SJo27bze7yr+Xb29Z0/1KKVasnRZ/r58V60TTDho4n+cL/7ud9Uapbl10eJ0/4p701eum5+nza6nzr56zuz07Mbn833KEKHka/O/mqZf+Nn8Pb3w+xfTztdfT3P3BUnKFf+Oli9dUq3RKsGEtvvDH7emmTMvSWdOnFi1UJr49bbqgZXp3PMvSBfPuLBqTem+FcvT0cccm9Y9+mjVQgnWrV2Tzpp6Tpp1+WV5/ahhw9IF0z+Ttjy3UYWrUPFvbPFtt+V/TwyOYELbzfrSl9LESWenaVMnVy2UJg5s8cv7phtvqFr2F7/GKcfq1Q/l0MjhY8GChWnYvn9nF13y+aqFVgkmtN23v/vd3l92HF5e/etr6a3db6ZRo8dULZQoqpKrHvxBGnv6BD8AChRdb9GNffsdt1ctDIZgQtudMWF8dY/DzapVP87LT3/6grykLNE9EAMpP/Ov5+0LkLtzdw5liXD/nW/ela6YMzed8OEPVa0MhmACZHGGTow7WXDjzeljH1UxKVHdBRe3OPDFgNj43ijHwusXpk+ccoqq8RAIJkAeQHnnolvSvGuu9T/Uw0R8TyeNHpPWPvLzqoVDLULinj170p136sIZCsEEOlz8zzROEY5Qcu01V1WtHA5icGV06VCGOP3+lZe2plM//one+Wbq04WjLeY0oTnBBDpUjFeICdWiUhLdN0JJuWISvP4mKoxf5yeOGFGtcaht2rKpt6utvkXgDzH3jH9jrRFMoEPF5FxPPv5YDiW6b8oW40me2bAhn41Ti0pX/Dq/8ioHO44sggl0oBhTEpNzhaiY1GXn+ha/0ClHBMcIJ9cvWND7Hb2wZXNa88tfOQuOI877/r5PdR8A4JBSMQEAiiGYAADFEEwAgGIIJgBAMQQTAKAYggkAUAzBBAAohmACABRDMIHDQExFHtdKaZyddebMS474S97H+4v32jgV+8EQ24/XORifZ3xvB2Mm3VsXLd5vfw/W68A/m5lfoXDPbnw+Xfa5mWn6jIvSN++6o2rtOWjHdPKXXj4r3XTjDVUrnSCC1Gf+9TzXOeKIpGIChfvRqlXppNFj9gslIQ5IEVZWPbAyvfrX16pWgMObYAKF27tnT3pr9+5qbX8RVuLS6id8+EN5vb9y/tv7/j66KZYsXVa1pBxkGruGoluob3dJVGSmTTuv9zmNfx/6biOe+5OHH6ke7dF3G/E6cQHBWt9txC26KGrx99EW+1bfjwpSo1iP9ni8Fvtab6/vY/3prysn2mbPmde7jXgfjY/H+6j/pvF5cb8xKDZ+J333q/EWz6vFNhs/t/j7+rXjdaNaEqJiVm+78XVq8TfR1vgajfsW30fdJVg/r/G14FAQTKBwEyedvS+YvJkPIHFgi6AxFPH38+bOS1v/9Ke0/umnc7DpHjYszfrSl3q3HQemOOhNmjwlP373ivvS8qVLesNJvY2dr7/eu43pF342fW3+V3vDSRxAc1fTZV/Mj8ft+A9+MF09Z3bvwXHh9QvzNurH42q5//GLdfuFk9q/fXZ6OvqYY9NTTz5VtfSI9WiPx0MEg58+9OO8z7HNWN6/4t5+tzmQ2L/4PMILv38xbyfeX7yfvgft2PaZE8/q3f/XX3stv6/+XHvNVb3vtb6dNfWcvP9f+MIX8nPqz/7LV1/d+5y4snC0xWc6berk/DohunI2bdmU7/cV7zf+5ivXzc/biO8pPuv43hr/G4qrTMeVin+z/on8vHPPv6D3teBQEEygcNFlEwegOIBEODj145/Iv2zjwNO3QtGKn/18bXrlpa05MNSVli9cemkOP/FYiINtdB/FgTTEwTAOoHHAD3fffU/exsIbbujdRm/X0oM/yOvbt7+cl+PHjc3L0FjhiYNjvKdR+16n9rGPjskH2v7GzBy1Lzz9jzPPzMGl0fP7thHt8Xh8Hk8+/lg+kMc+h1jGenR59a0KDeSee5bn5Z133p63G+r3F59N44E9DuQXz7gw34/9H3/6hPy+Gp8zkAh6sb8RHuJvw9pHfp5fp97/UIeu+jNtJt5nvN9511zbu2/xmcf3Fd/b93+wKrfVFi68vvd9Xnrp5/Oy1deCdhNM4DAQB8U4oN9217fywWbsvoNfHHiiQtHYBdCK+HUcGgPDGRPG5+3H60TXSISUOMA2um/F8t5f5xEGIrjUB9PaSSePzAe+2MZpp/Vs/7frn8oH4MYuhBAHwgg7ETTi13kr3QdnTpyY963+NR/LeL1oD6+83HMwPXtSz3ptXLUvmzZvyctmntmwIX3ilFN6D9a1U04dm1//8d+sr1pS+sBxx1X3ery/q6u6994iREXQbAwP4de//lUOcPF5xOcWtymT3g0prajfZ/0d1OL7iu9t/RO/qVpSrtbU4TIcddT+7xn+2QQTOIzEASyqGKtXP5RL83FgX/vwTwdVdo8xK2GgA9DevXvz8r0OsDHmJQJBPXahvkUXQIhtRNiJbpS/vfFGPgBP+tSn8nPq7qAQYeeiSz6ffvTDH+a/jcejK2ag9xNVhDiwbniqpzsnlrFeVxfeeadn3+vXqm/1mIx33nknL99LVDoifHR3d1ct7+ru7vlMWtnOe4mQ9p1v3pW/v7oqVYv3Hvscn8f/q17n29/9bl62qt6/7n6+w2H7wtZAY5agBIIJFKy/gZ21+JUbXTBhMGX3GE8S3n67/66G+oBcHxT7c/Qxx+SqTVRZ+rs1dqNEt0y0xbiI6KJoHKsS6qAVz4kuqxijccuNNw7YFRLjXqKiEY/HMtZrXV09+16PC+l76xsC+hNVkqgi1AGt0d69PZ/J8OH7V0kGI/Y7xnmcOGJE7irqK957/dnGZxf7fPwgX6+rCiR7+/kO9+x7/XhtKJVgAgWLqkNUBJ5a/9uqZX87d+7Ky5EjT87L/vxp67bqXo9Tx56Wl89verdbI37BRwCKakW8ZhyYo7umUYxpiedEWIpunj/v2PEP4SECR5zV0V+oiG6E6KKIbf/tjZ797iuP47jws7li8dprO6vW/U06q6c7Z8GChXkZ67WTTu75HDY+t/+A0LoK0WplKcasvPi73/3D+/jdCz2f2ehRI/PyQPTs9+50+x3vjl+pxdiQeE9jx42vWnq8tG17da81ddfV5j5dV7H9qHQ1juuB0ggmULg4OyMGU0ZoaBy8GWMUYqBpdAfUFYoY4xEHtrrCEoHjnmX7n+YbAykj7Kxbu6Z33Ec92LOuwMRg0TiA1duJ142xIPFaEVzqAZJxkK23UY+ZiL+NA24dUhrDQGwv9i/GasRBPx6P91WLbUUIi4pB3/ErtWiPx2PQaLyPxudFV1c89r277+593dj3WG/8nJq58sqefYr3V4eT2PfoNouqTuOYjMGIcFcPdu1vG41jQOrPNd5H7H+oq1iNXUr18xrFdmLivfg+6gHS8bzbFy/O27/66itzG5RIMIHCxcE0ukGiiyXGSsQv/7hFKInqQozTqEXFIQ6c9XiN6DKI040bRWhYfu/yfOpuPRYjTiON8SAROkK9nThDJB6P142zT+rXioPqT3/+s7xP9TZizET8TfxtiC6ICCnRNRGPxy22FwN4I0DEfqz8/vfzc+vHY1uxX/c2vKf+1O8p3n9f0S0U3TtxWnJsM/Y9KjyNn1Mz8f7qfavPgop9b3x/gxUBJwYshxi0XL/n+hYhLdxx5515HEj9ucb4m3ifESi27QuLIfavDh7xvP4qVNENFPsb30tsp/5s47vvW6mBkpiSHgAohooJAFAMwQQAKIZgAgAUQzABAIohmAAAxRBMAIBiCCYAQDEEEwCgGIIJAFAMwQQAKIZgAgAUQzABAIohmAAAxRBMAIBiCCYAQDEEEwCgGIIJAFAMwQQAKIZgAgAUQzABAIohmAAAxRBMAIAyvPiiYAIAFOA//zOlT34y/X9LBZ9ja+P97gAAAABJRU5ErkJggg=="></span></p>
<p><span style="background-color: #ffffff;"> </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline why the alkali metals (group 1) have similar chemical properties.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe the structure and bonding in solid sodium oxide.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Calculate values for the following changes using section 8 of the data booklet.</span></p>
<p><span style="background-color: #ffffff;"><br>ΔH<sub>atomisation</sub> (Na) = 107 kJ mol<sup>−1</sup><br>ΔH<sub>atomisation</sub> (O) = 249 kJ mol<sup>−1</sup></span></p>
<p><span style="background-color: #ffffff;"><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></span>O<sub>2</sub>(g) <span style="background-color: #ffffff;">→ </span>O<sup>2- </sup>(g):</p>
<p><span style="background-color: #ffffff;">Na (s) → Na<sup>+</sup> (g):</span></p>
<p> </p>
<p> </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><span style="background-color: #ffffff;">The standard enthalpy of formation of sodium oxide is −414 kJ mol<sup>−1</sup>. Determine the lattice enthalpy of sodium oxide, in kJ mol<sup>−1</sup>, using section 8 of the data booklet and your answers to (d)(i).</span></p>
<p><span style="background-color: #ffffff;"><br>(If you did not get answers to (d)(i), use +850 kJ mol<sup>−1</sup> and +600 kJ mol<sup>−1</sup> respectively, but these are not the correct answers.)</span></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><span style="background-color: #ffffff;">Justify why K<sub>2</sub>O has a lower lattice enthalpy (absolute value) than Na<sub>2</sub>O.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Write equations for the separate reactions of solid sodium oxide and solid phosphorus(V) oxide with excess water and differentiate between the solutions formed.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Sodium oxide, Na<sub>2</sub>O:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Phosphorus(V) oxide, P<sub>4</sub>O<sub>10</sub>:</span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Differentiation:</span></span></span></span></p>
<p> </p>
<p> </p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p style="text-align: left;"><span style="background-color: #ffffff;">Sodium peroxide, Na<sub>2</sub>O<sub>2</sub>, is formed by the reaction of sodium oxide with oxygen.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2Na<sub>2</sub>O (s) + O<sub>2</sub> (g) → 2Na<sub>2</sub>O<sub>2</sub> (s)</span></p>
<p style="text-align: left;"><span style="background-color: #ffffff;">Calculate the percentage yield of sodium peroxide if 5.00g of sodium oxide produces 5.50g of sodium peroxide.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the enthalpy change, <em>ΔH</em>, in kJ, for this reaction using data from the table and section 12 of the data booklet.</span></p>
<p style="padding-left:90px;"><span style="background-color: #ffffff;"><img src="data:image/png;base64,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"></span></p>
<div class="marks">[3]</div>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline why bond enthalpy values are not valid in calculations such as that in (g)(i).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">g(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">An allotrope of molecular oxygen is ozone. Compare, giving a reason, the bond enthalpies of the O to O bonds in O<sub>2</sub> and O<sub>3</sub>.</span></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><span style="background-color: #ffffff;">Outline why a real gas differs from ideal behaviour at low temperature and high pressure.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The reaction of sodium peroxide with excess water produces hydrogen peroxide and one other sodium compound. Suggest the formula of this compound.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the oxidation number of carbon in sodium carbonate, Na<sub>2</sub>CO<sub>3</sub>.</span></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><img 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" width="392" height="260"> <strong>[<span style="background-color: #ffffff;">✔</span>]</strong></p>
<p><em>Notes: Accept curve showing general trend.</em><br><em>Award mark only if the energy difference between the first two points is larger than that between points 2/3 and 3/4.</em></p>
<p> </p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">same number of electrons in outer shell</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">all are s<sup>1</sup> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[</span>✔<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">]</span></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«3-D/giant» regularly repeating arrangement «of ions»<br><em><strong>OR</strong></em><br>lattice «of ions» <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">electrostatic attraction between oppositely charged ions<br><em><strong>OR</strong></em><br>electrostatic attraction between Na<sup>+</sup> and O<sup>2−</sup> ions <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><em><strong>Note: </strong>Do <strong>not</strong> accept “ionic” without description.</em></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><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></span>O<sub>2</sub>(g) <span style="background-color: #ffffff;">→ </span>O<sup>2- </sup>(g)</p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;">«ΔH<sub>atomisation</sub> (O) + 1st EA + 2nd EA = 249 k Jmol<sup>−1</sup> − 141 kJmol<sup>−1</sup> + 753 kJmol<sup>−1</sup> =» «+»861 «kJmol<sup>−1</sup>» <strong>[✔]</strong></span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;">Na (s) → Na<sup>+</sup> (g)</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">«ΔH<sub>atomisation</sub> (Na) + 1st IE = 107 kJmol<sup>−1</sup> + 496 kJmol<sup>−1</sup> =» «+»603 «kJmol<sup>−1</sup>» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></span></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">lattice enthalpy = 861 «kJ mol<sup>−1</sup>» + 2 × 603 «kJ mol<sup>−1</sup>» −(−414 «kJ mol<sup>−1</sup>») <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«= +» 2481 «kJ mol<sup>−1</sup>» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: bold;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">Note: </span><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">Award [2] for correct final answer.</span></span></em></p>
<p><span style="font-size: 14px;"><em><span style="background-color: #ffffff;"><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">If given values are used:<br>M1: lattice enthalpy = 850 «kJ mol<sup>−1</sup>» +<br>2 <span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">×</span> 600 «kJ mol<sup>−1</sup>» −(−414 «kJ mol<sup>−1</sup>»)<br>M2: «= +» 2464 «kJ mol<sup>−1</sup>»</span></span></em></span></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">K<sup>+</sup> ion is larger than Na<sup>+</sup></span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">smaller attractive force because of greater distance between ion «centres» <strong>[✔]</strong></span></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Sodium oxide:</em><br>Na<sub>2</sub>O(s) + H<sub>2</sub>O(l) → 2NaOH (aq) <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Phosphorus(V) oxide:</em><br>P<sub>4</sub>O<sub>10</sub> (s) + 6H<sub>2</sub>O(l) → 4H<sub>3</sub>PO<sub>4</sub> (aq) <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p><span style="background-color: #ffffff;"><em>Differentiation</em>:<br>NaOH/product of Na<sub>2</sub>O is alkaline/basic/pH > 7 <em><strong>AND</strong> </em>H<sub>3</sub>PO<sub>4</sub>/product of P<sub>4</sub>O<sub>10</sub> is acidic/pH < 7 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">n(Na<sub>2</sub>O<sub>2</sub>) theoretical yield «= <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{5.00{\text{g}}}}{{61.98{\text{g mo}}{{\text{l}}^{ - 1}}}}">
<mfrac>
<mrow>
<mn>5.00</mn>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
<mrow>
<mn>61.98</mn>
<mrow>
<mtext>g mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span>» = 0.0807/8.07 × 10<sup>−2</sup> «mol»</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span><span style="background-color: #ffffff;"><br></span></p>
<p><span style="background-color: #ffffff;">mass of Na<sub>2</sub>O<sub>2</sub> theoretical yield «= <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{5.00{\text{g}}}}{{61.98{\text{g mo}}{{\text{l}}^{ - 1}}}}">
<mfrac>
<mrow>
<mn>5.00</mn>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
<mrow>
<mn>61.98</mn>
<mrow>
<mtext>g mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span></span> × 77.98 gmol<sup>−1</sup>» = 6.291 «g» </span><strong> [✔]</strong></p>
<p><span style="background-color: #ffffff;">% yield «= <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{5.50{\text{g}}}}{{6.291{\text{g}}}}">
<mfrac>
<mrow>
<mn>5.50</mn>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
<mrow>
<mn>6.291</mn>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
</mfrac>
</math></span> × 100» <em><strong>OR</strong> </em>« <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.0705}}{{0.0807}}">
<mfrac>
<mrow>
<mn>0.0705</mn>
</mrow>
<mrow>
<mn>0.0807</mn>
</mrow>
</mfrac>
</math></span> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> 100» = 87.4 «%» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Award [2] for correct final answer.</span></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>∑Δ</em><span style="background-color: #ffffff;"><em>H<sub>f</sub></em> products = 2 × (−1130.7) / −2261.4 «kJ» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">∑Δ</em><em>H<sub>f</sub></em> reactants = 2 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> (−510.9) + 2 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> (−393.5) / −1808.8 «kJ» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p><span style="background-color: #ffffff;"><em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Δ</em><em>H</em> = «<em>∑</em><em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Δ</em><em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">H<sub>f</sub></em> products − <em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">∑Δ</em><em style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">H<sub>f</sub></em> reactants = −2261.4 −(−1808.8) =» −452.6 «kJ» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Award<strong> [3]</strong> for correct final answer. </span></em></p>
<p><em><span style="background-color: #ffffff;">Award <strong>[2 max]</strong> for “+ 452.6 «kJ»”.</span></em></p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">only valid for covalent bonds</span></p>
<p><em><strong><span style="background-color: #ffffff;">OR</span></strong></em></p>
<p><span style="background-color: #ffffff;">only valid in gaseous state <strong>[✔]</strong></span></p>
<div class="question_part_label">g(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">bond in O<sub>3</sub> has lower enthalpy <em><strong>AND</strong> </em>bond order is 1.5 «not 2» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept “bond in ozone is longer”.</span></em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em></span></p>
<p><span style="background-color: #ffffff;">finite volume of particles «requires adjustment to volume of gas» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">short-range attractive forces «overcomes low kinetic energy» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">NaOH <strong>[✔]</strong></span></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">IV <strong>[✔]</strong></span></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 well done with a correct plot of ionization energies.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The majority answered correctly stating same number of valence electrons as the reason. Some candidates stated same size or similar ionization energy but the majority scored well.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates lost one or two marks for missing “electrostatic forces” between “oppositely charged ions”, or “lattice”. Some candidates’ answers referred to covalent bonds and shapes of molecules.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance with typical error being in the calculation for the first equation, ½O2 (g) → O<sub>2</sub><sup>−</sup> (g), where the value for the first electron affinity of oxygen was left out.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates earned some credit for ECF based on (d)(i).</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Average performance with answers using atomic size rather than ionic size or making reference to electronegativities of K and Na.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>An average of 1.1 out of 3 earned here. Many candidates could write a balanced equation for the reaction of sodium oxide with water but not phosphorus(V) oxide. Mediocre performance in identifying the acid/base nature of the solutions formed.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The majority earned one or two marks in finding a % yield.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The average was 2.2 out 3 for this question on enthalpy of formation. Enthalpy calculations were generally well done.</p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The majority of candidates referred to “bond enthalpy values are average”, rather than not valid for solids or only used for gases.</p>
<div class="question_part_label">g(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some candidates recognized that ozone had a resonance structure but then only compared bond length between ozone and oxygen rather than bond enthalpy.</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few candidates could distinguish the cause for difference in behaviour between real and ideal gases at low temperature or high pressure. Many answers were based on increase in number of collisions or faster rate or movement of gas particles.</p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Na<sub>2</sub>O was a common formula in many candidates’ answers for the product of the reaction of sodium peroxide with water.</p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The vast majority of candidates could correctly state the oxidation number of carbon in sodium carbonate.</p>
<div class="question_part_label">k.</div>
</div>
<br><hr><br><div class="specification">
<p>White phosphorus is an allotrope of phosphorus and exists as P<sub>4</sub>.</p>
</div>
<div class="specification">
<p>An equilibrium exists between PCl<sub>3</sub> and PCl<sub>5</sub>.</p>
<p style="text-align: center;">PCl<sub>3 </sub>(g) + Cl<sub>2 </sub>(g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> PCl<sub>5 </sub>(g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch the Lewis (electron dot) structure of the P<sub>4</sub> molecule, containing only single bonds.</p>
<p> </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>Write an equation for the reaction of white phosphorus (P<sub>4</sub>) with chlorine gas to form phosphorus trichloride (PCl<sub>3</sub>).</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>Deduce the electron domain and molecular geometry using VSEPR theory, and estimate the Cl–P–Cl bond angle in PCl<sub>3</sub>.</p>
<p><img 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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the reason why PCl<sub>5</sub> is a non-polar molecule, while PCl<sub>4</sub>F is polar.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAucAAAEsCAYAAABgwB0iAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABlWSURBVHhe7d1/kJX1Ye/xj8RrHFFKrD8Ick/9kR0GqAyicnM1zZg6CrWR2THmXnsjDKkbo5UQSY2J0hJqbsQYwxqi0ZtxbhkoU9NUeso1TgzNlXFibgZ1w2gkoWsMXYGuCU3sFqw6O+s9Z/cIy7KI1V38LrxeMzscnvOcs9/v7vPH+zn7Pc854rWaAAAA77hRjX8BAIB3mDgHAIBC7F7WUqlM6N0AAAAcHB0dWxu3+uwV5wPvBAAAhsdg/W1ZCwAAFEKcAwBAIcQ5AAAUQpwDAEAhxDkAABRCnAMAQCHEOQAAFEKcAwBAIcQ5AAAUQpwDAEAhxDkAABRCnAMAQCHEOQAAFEKcAwBAIcQ5AAAUQpwDAEAhxDkAABRiBMb586m2TE2lMmHfr0lXpbXals6exq69erKz/dGsab0qk3bvOyMtrd/O+vauxj41PZuzYvbETFq0Pv22HlhnNS2155zW2pbuxqbDT+N3Mm1Z2g7fHwIAwNs2cl85v/iubOjYmo7dX89lwz2n5eEFf5SrV26uJXndq+lcf2suv/CGPJQrsnZTR+++WzbcmanPfCVzZ9+YFZv/Qym+r3HNua/2nBsXTs+RjU0AAPBWHELLWo7KuAuuyefnnJiNd34nG7uTnu0PZcm1q5KFd+fOhRel6di+6Y4ad14WLLs9c/JgFn92Tdr3eqUdAADeGYfYmvOjM+aE0ckrL6brpZfy8+99Ow/tOidXfPjMHNvYY7cx5+VTq+/L8k9MzXGNTW/JwGUtPZ1pW7Uos/ZaQrMu7Tv3cwbQ+/ipmdd6f1YturTxmImZtaja7zH1pTnrs2L3/RMyqWVZqm2djb8QdNeeZn5t+7y0Vldk0ayJjf0uzaLq5uzs3Wcw/R63ZnlaJjXGPGtRVu1+7rqutK/v/7z1OVXT1vlq4/6B9h1v71hWPd5YcvT6952ZlpaZjfs/lhXt/5K21vr/56faaX0MAHD4ObTivGdbnnpkS9J0ek455vk8tuaJZNpFOf+Moxs79HdUxk2fleZLp2fckP0UXk77yj9N86JNmVn9STo6OrJp3aeSb348s5c++gZr2X+d/9u6Oj87945sqi/PWTknWTV/92N6tq/NDbOvzJdf+G9ZV1+as2VD7hn/SBY0X5uvtb3Y9xS9/iGt9z6Xc7/+eO8+K+fVnmbBVVm6fkfj/v2pPa425g9UN/U9bsZTWbT7uV/N9uqfZ/bcb+SFK9bUxldfFrQ04x/+XJrn3Zu2QU46+sb7ydz/ruuzYcvW2nM+kQduOClrFi3M1x/tP5Zn8liurM3p2WxYe3NmnfHbmb7w4drP7a40j7NICAA4/Bw6cV5/xXr1yty/8bdyyR//fs7IrvymY1dy0tgcd9Bm+as884Onk9Fn5qz3jan9f1SOnTgn9/10a376pQtS37I/o+f8aT7XPDHH1k8aPvjRXDFtdHZ9py3Pdu/Io3ffkYfykSy95b9nYn1pzqjxueDGxVk4eVNal1T7Lcs5NXM+vyDNTbXvVNvng3M+kmnZku/8uOMAb1Ydn0uW3py5E/se9/pzf/OBjenq+mHuvumB5JKbc8vcKb1/gRg17kO58dbrMnnT3Vnyt+39XmGve3nPXyzmnN934jNqXM7+g99L0z5jOT7nf/iC2pyOzrhpU4bwJAkAYGQauTn0vfmZsXvJRO3r1HPSvDq5YuXq3NFceYcmdnJmfPhDGb3rf+faz9yZNdVH97+cZYB3nzAmxzRuZ9QxGXvSu/tu9/xLtjz9q6TprEwZd1TftrpjT8tZZ5+YtD+Xbbu/x+icMGbPXwlGHTc2JzVuv7GmvH/KSXt+Zo3nrp8cbN62JU/vGp2m90/qF8+1k473Tc3Zo3elvf2fByybOTpN81ano+OenL9tXarVaqprluXq2X+WjY099nhvplTe07gNAMDIjfN9rtZS+/rulzLvgqa+9eVHnpjTzjk++eWL+bc318dD4KiMb/5i1q68K587+ZFcv+B/5MLJlQHrw/+Devb3F4DG+vpdv86LL73dCb4nY4/rv4yk8dw1PV2/TkfeXfv2x+x9sBwzJifUzh92vfBiXmpsel1P5/ezeNa5uXDuF/PgL16uHWVNufKev8jFjfsBABjcyI3zAzoxUz5wZrJxXR77eS0QB7OzPeur332DNza+FWPSdEFz5n3p/9ROGDbl+yv/Zy7b+r+y4GPfyKNdbyGiR43Oeyq1UN7nJOPldO2oRfvo4zP2mAP/GrvblmVa/780VGamtW1/bxVtPHfNqDHHp5JXat/+pb1PLl7qyo5Xat/+5LF7XvHvtSOPfv0LWfFPs7L8Rz/IfQuvSHPzpfngKe/KLxt7AAAwuEM4zo/OGRd/NJeMfiL3P/j0vlcs2flMVlz/scy99x+TYwd782FPutYv3vPBRW/pA3bqoX5lPnXNRcmun2fLC2/hJGDUb+fUM+vLV36cZ/qfROz8RX78ZH25y+k5pXGJyDdy5PTPZONef2l4OAunv34Nm415/Gf93lja9ZOsW7Mlo/9weiaecmrOrC9f+dFP+324U092PvtUnqwvd2l674Ar4fx7Xnyha8AynNr+255Le+N/AAAM7hCO89rkxl+SJffMSVqvy/W7L2dYv8zfurRe//Esfmx6bvnavEzvfZPl7+T8y87JriefyrO9+72aF7Zsy/nL/19fzG78TKYf6AIiPR2pXjMjlVmLU33900d3bs53H9yQTP4vmfrefmvG37QT8sHrbsgleSA3Lf5WNtfH1rM962+/Ja2bJmfhkuY0ve3f4pasum1535jrz33HV7Oq/gbU687LmDHn5bqlH0keujWLVz7Te5LT0/lIbr/57myafF2WXN404CA6LpUpZ9R6/+/z4Ma+q710tv11vnzbt1J/Lf6VHV37LIMBAKDPIR3nfR9MdGNWVJfkAzuW967/rlQqmXzhojwz5bNZufb2zKtfoaTX0Wm6fHGWn70uzecuyfqurmxr35zvLfivtcfMSMvyH/Z75Xg/RlUye8m9WT5zW266cHLfK+6TL8v9J3861RXX9J0EvAWjxs/OHWv/Kp87+W9yUX0Op87Itds/lOXVe/Lp6WMbe70d43Px2f+ae+tj7n3ui/KXa7+Y5vH1k4nX19H/SU6+/7JMrs3p1Bk3ZfvML+9nTmMz/RO3Zfmc7rQ2/27tZ3B6Zty8KU2fXZqF9SvQPL0lL+z357jTdc4BgMPaEa/V1G/UQ7L+CjENPZuzonlp8tV7M69pZ9YvWpIt8+6o3R7smukjVf3DgK7PjAXtWVh9oN8yFwAAhttg/X2Iv3L+NoyamHlrVzRivH71kt+kfdv+P2sTAADeLnG+P13rs2jS68sr6lcveU+aTvHKMgAAw8eylv16NZ3rb8+8ufdmU87KnOV35KbeT/AEAIC3b7D+FucAAPAOsOYcAAAKJs4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACjHC43xn2lpnplKZn2pnd2PbQG9in+62tE6bkEpLNZ2NTQN1ty3LtMrUtFSfb2zZ14H3OXjjHZo5jbTxljUn4x3e8RY1p5E23qLmdJgeM0M0p8PzmBmiOR2mx8zQzGnkHTMjyRGv1dRvVCoT0tGxtXcjAAAwvAbrb8taAACgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAoxwuN8Z9paZ6ZSmZ9qZ3dj20BvYp/utrROm5BKSzWdjU0Ddbcty7TK1LRUn29s2deB9zl44x2aOY208ZY1J+Md3vEWNaeRNt6i5nSYHjNDNKfD85gZojkdpsfM0Mxp5B0zI8kRr9XUb1QqE9LRsbV3IwAAMLwG62/LWgAAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgECM8znemrXVmKpX5qXZ2N7YN9Cb26W5L67QJqbRU09nYNFB327JMq0xNS/X5xpZ9HXifgzfeoZnTSBtvWXMy3uEdb1FzGmnjLWpOh+kxM0RzOjyPmSGa02F6zAzNnEbeMTOSHPFaTf1GpTIhHR1bezcCAADDa7D+tqwFAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAohzgEAoBDiHAAACiHOAQCgEOIcAAAKIc4BAKAQ4hwAAAoxAuP8+VRbpqZSmbDv16Sr0lptS2dPY9dePdnZ/mjWtF6VSbv3nZGW1m9nfXtXY5+ans1ZMXtiJi1an35b99VZTUv/7znwa9qytHU39t2tu/aw+bX7Z6a1bWdj2zuh8bMbdIwAALzTRu4r5xfflQ0dW9Ox++u5bLjntDy84I9y9crNtSSvezWd62/N5RfekIdyRdZu6ujdd8uGOzP1ma9k7uwbs2LzG6b4fh2/cG2e2+v7N742fibTj2zstNuRGdd8V+3+h7Nw+rGNbQAAsLdDaFnLURl3wTX5/JwTs/HO72Rjd9Kz/aEsuXZVsvDu3LnwojQd2zfdUePOy4Jlt2dOHsziz65J+16vtAMAwDvjEFtzfnTGnDA6eeXFdL30Un7+vW/noV3n5IoPn5l9Xq8ec14+tfq+LP/E1BzX2DR89l3W0tP5eFYtunTPcpj6kpzvt2fwRS+vP35eWtcsT8ukxmNmLcqqts7GXwnqutK+fkUWzZrYeN768p1q2jpfbdw/UH3Jz/qs6D+OyqVZtOrxxtKgPeNuaZnZuP9jWdG+I22t9f/PT7XT+hgAgKFyaMV5z7Y89ciWpOn0nHLM83lszRPJtIty/hlHN3bo76iMmz4rzZdOz7iD/VPo2ZyVV1+ZRU9elGrvUptNWfe5/5RvfvzjWbp+R2OnwfxDWhdtygeqm9KxZUNWzngqi5qvzdfaXqzd92q2V/88s+d+Iy9csSabOurLd5Zm/MOfS/O8e9O2c98/D/RsX5sbZn8y97/r+mzYsrX2nE/kgRtOyppFC/P1R/uP45k8liuzbtOz2bD25sw644RMX/hwbdx3pXncPmt4AAB4iw6dOO/pTNvqlbl/42/lkj/+/ZyRXflNx67kpLE5rrRZ/vKn+cHGXRl99tS8r3epzZhMrAX0Tzt+kC9dcELfPoMan0uW3py5E8fUfnPjc8GNi7Nw8qZ884GN6er6Ye6+6YHkkptzy9wpvX8pGDXuQ7nx1usyedPdWfK37f1eYa97ec9fFuac33eCMmpczv6D30tTtuQ7P+7IntfEj8/5H74gE489OuOmTTn4JzMAAIeJkZtZ35ufGbuXYtS+Tj0nzauTK1auzh3NlWGf2K9bZ+f0/t+//vVmr4Jy0vR8+JLx2bXqxnym9f5U1+9vOctATXn/lJP2zO3Y03LW2Sdm13fasnnbljy9a3Sa3j+pXzyPyrHvm5qzR+9Ke/s/D/geR6dp3up0dNyT87etS7VaTXXNslw9+8+ysbHHHu/NlMp7GrcBABguIzfO97laS+3ru1/KvAua+taXH3liTjvn+OSXL+bfhuENn4NerWXQK7UMYlQlzXeszsrln8zJD38hC+Z+KJMPuD687j0Ze1z/b9BYY1/T0/XrdOTdOWnsMXv/Uo8ZkxPenex64cW81Nj0up7O72fxrHNz4dwv5sFfvFwbV1OuvOcvcnHjfgAADq6RG+cHdGKmfODMZOO6PPbzWngOZmd71le/e4AgHibHNuWC5qvype9uTsemR7LylouytXV+Pvb1H77xddb38nK6duzqvTVqzPGp5JXauchLey9feakrO15JRp88Nsc0NvXZkUe//oWs+KdZWf6jH+S+hVekufnSfPCUd+WXjT0AADi4DuE4PzpnXPzRXDL6idz/4NP7LhvZ+UxWXP+xzL33H2uh/AYvd/d0pHrNhWmpPt/YMAzqoT7vmlxz8fHZ9fSWvLDfV/o35vGf1d/82dD1k6xbsyWj/3B6Jp5yas6sL1/50U/7fQhTT3Y++1SerC93aXrvgCvW/HtefKF2GtB0VqaMO6qxrbb/tufS3vgfAAAH1yEc57XJjb8kS+6Zk7Rel+tb16W994ol9csHrkvr9R/P4sem55avzcv0+psyR/1Ozr/snOx68qk8u/vKJl3ZvPLW3PTQrxr/Hxo926u5ZtLEzFpU3TOmzevz4GOvZPKHpuS9+/2tbMmq25anWv9k057tWX/HV7MqH8nS687LmDHn5bqlH0keujWLVz7TezLS0/lIbr/57myafF2WXN404Jd9XCpTzqj1/t/nwY19V3vpbPvrfPm2b6X+WvwrO7r2WQYDAMDwOqTjvO+DiW7MiuqSfGDH8lw4uZJKpZLJFy7KM1M+m5Vrb8+8+pVPeh2dpssXZ/nZ69J87pKs7+rOzrYV+fT9J+XqOb/T2Gdo9J40rP5yZr5w654xXfQ3Ofnmv8qKT5+77zXZdxufi8/+19x74eRUTp2Ra7dflL9c+8U0j6+/8n1Uxjd/MWtX/klOvv+yTK5MyKkzbsr2mV9OdcU1fScgexmb6Z+4LcvndKe1+XdrYzg9M27elKbPLs3CaaMP8Ar+Ttc5BwAYBke8VlO/Ub/aSP1NjfSpv1lyydV/l9O/cnOmPnRdvnHa8tzX/J8b9x5s9Q8Duj4zFrRnYfWBLJy+/3wHAGBkGKy/D/FXzt+q7vzyR3+XFRurWXzRjDS3Pp7vLWjZ/emeAAAwHMT5oI7MuOa7GpdI/FmqC8/Nxcvv84o1AADDSpyPCK+fLDzsBAEA4BBmzTkAALwDrDkHAICCiXMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAoxAiP851pa52ZSmV+qp3djW0DvYl9utvSOm1CKi3VdDY2DdTdtizTKlPTUn2+sWVfB97n4I13aOY00sZb1pyMd3jHW9ScRtp4i5rTYXrMDNGcDs9jZojmdJgeM0Mzp5F3zIwkR7xWU79RqUxIR8fW3o0AAMDwGqy/LWsBAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKM8DjfmbbWmalU5qfa2d3YNtCb2Ke7La3TJqTSUk1nY9NA3W3LMq0yNS3V5xtb9nXgfQ7eeIdmTiNtvGXNyXiHd7xFzWmkjbeoOR2mx8wQzenwPGaGaE6H6TEzNHMaecfMSHLEazX1G5XKhHR0bO3dCAAADK/B+tuyFgAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAoxAiP851pa52ZSmV+qp3djW0DvYl9utvSOm1CKi3VdDY2DdTdtizTKlPTUn2+sWVfB97n4I13aOY00sZb1pyMd3jHW9ScRtp4i5rTYXrMDNGcDs9jZojmdJgeM0Mzp5F3zIwkR7xWU79RqUxIR8fW3o0AAMDwGqy/LWsBAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKIQ4BwCAQohzAAAohDgHAIBCiHMAACiEOAcAgEKIcwAAKMQRr9XUb1QqE3o3AAAAB0dHx9bGrT674xwAAHhnWdYCAABFSP4/vvSFG5y3AqoAAAAASUVORK5CYII="></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>Calculate the standard enthalpy change (Δ<em>H</em><sup>⦵</sup>) for the forward reaction in kJ mol<sup>−1</sup>.</p>
<p style="text-align:center;">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>3 </sub>(g) = −306.4 kJ mol<sup>−1</sup></p>
<p style="text-align:center;">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>5 </sub>(g) = −398.9 kJ mol<sup>−1</sup></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>Calculate the entropy change, Δ<em>S</em>, in J K<sup>−1 </sup>mol<sup>−1</sup>, for this reaction.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></p>
<p style="text-align:center;"> </p>
<p style="text-align:center;"><em>Chemistry 2e, Chpt. 21 Nuclear Chemistry, Appendix G: Standard Thermodynamic Properties for Selected Substances https://openstax.org/books/chemistry-2e/pages/g-standard-thermodynamic-properties-for- selectedsubstances# page_667adccf-f900-4d86-a13d-409c014086ea © 1999-2021, Rice University. Except where otherwise noted, textbooks on this site are licensed under a Creative Commons Attribution 4.0 International License. (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/.</em></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>Calculate the Gibbs free energy change (Δ<em>G</em>), in kJ mol<sup>−1</sup>, for this reaction at 25 °C. Use section 1 of the data booklet.</p>
<p>If you did not obtain an answer in c(i) or c(ii) use −87.6 kJ mol<sup>−1</sup> and −150.5 J mol<sup>−1 </sup>K<sup>−1</sup> respectively, but these are not the correct answers.</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>Determine the equilibrium constant, <em>K</em>, for this reaction at 25 °C, referring to section 1 of the data booklet.</p>
<p>If you did not obtain an answer in (c)(iii), use Δ<em>G</em> = –43.5 kJ mol<sup>−1</sup>, but this is not the correct answer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the equilibrium constant expression,<em> K</em><sub>c</sub>, for this reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, with a reason, the effect of an increase in temperature on the position of this equilibrium.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c(vi).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="282" height="109"></p>
<p><em>Accept any diagram with each P joined to the other three. <br>Accept any combination of dots, crosses and lines.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>P<sub>4 </sub>(s) + 6Cl<sub>2 </sub>(g) → 4PCl<sub>3 </sub>(l) ✔</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Electron domain geometry</em>: tetrahedral ✔</p>
<p><em>Molecular geometry</em>: trigonal pyramidal ✔</p>
<p><em>Bond angle</em>: 100«°» ✔</p>
<p><em><br>Accept any value or range within the range 91−108«°» for <strong>M3</strong>.</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>PCl<sub>5</sub> is non-polar</em>:</p>
<p>symmetrical<br><em><strong>OR</strong></em><br>dipoles cancel ✔</p>
<p> </p>
<p><em>PCl<sub>4</sub>F is polar:</em></p>
<p>P–Cl has a different bond polarity than P–F ✔</p>
<p>non-symmetrical «dipoles»<br><em><strong>OR</strong></em><br>dipoles do not cancel ✔</p>
<p><em><br></em><em>Accept F more electronegative than/different electronegativity to Cl for <strong>M2</strong>.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«−398.9 kJ mol<sup>−1</sup> − (−306.4 kJ mol<sup>−1</sup>) =» −92.5 «kJ mol<sup>−1</sup>» ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«ΔS = 364.5 J K<sup>–1 </sup>mol<sup>–1</sup> – (311.7 J K<sup>–1 </sup>mol<sup>–1</sup> + 223.0 J K<sup>–1 </sup>mol<sup>–1</sup>)=» –170.2 «J K<sup>–1 </sup>mol<sup>–1</sup>» ✔</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«ΔS =» –0.1702 «kJ mol<sup>–1 </sup>K<sup>–1</sup>»<br><em><strong>OR</strong></em><br>298 «K» ✔</p>
<p>«ΔG = –92.5 kJ mol<sup>–1</sup> – (298 K × –0.1702 kJ mol<sup>–1 </sup>K<sup>–1</sup>) =» –41.8 «kJ mol<sup>–1</sup>» ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>If –87.6 and -150.5 are used then –42.8.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«ΔG = –41.8 kJ mol<sup>–1</sup> = <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant="normal">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mn>1000</mn></mfrac></math> × 298 K × ln<em>K</em>»<br><em><strong>OR</strong></em><br>«ΔG = –41800 J mol<sup>–1</sup> = –8.31 J mol<sup>–1 </sup>K<sup>–1</sup> × 298 K × ln<em>K</em>»<br><br>«ln<em>K</em> = =» 16.9 ✔</p>
<p>«<em>K</em> = e<sup>16.9</sup> =» 2.19 × 10<sup>7</sup> ✔</p>
<p> </p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em></p>
<p><em>Accept range of 1.80 × 10<sup>6</sup>–2.60 × 10<sup>7</sup>.</em></p>
<p><em>If –43.5 is used then 4.25 × 10<sup>7</sup>.</em></p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>K</em><sub>c</sub> =» <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mfenced open="[" close="]"><msub><mi>PCl</mi><mn>5</mn></msub></mfenced><mrow><mfenced open="[" close="]"><msub><mi>PCl</mi><mn>3</mn></msub></mfenced><mfenced open="[" close="]"><msub><mi>Cl</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«shifts» left/towards reactants <em><strong>AND</strong> </em>«forward reaction is» exothermic/ΔH is negative ✔</p>
<div class="question_part_label">c(vi).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(vi).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">A molecule of citric acid, C<sub>6</sub>H<sub>8</sub>O<sub>7</sub>, is shown.</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="215" height="123"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">The equation for the first dissociation of citric acid in water is</span></span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> (aq) + H<sub>2</sub>O (l) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq)</span></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify a conjugate acid–base pair in the equation.</span></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><span style="background-color: #ffffff;">The value of <em>K</em><sub>a</sub> at 298 K for the first dissociation is 5.01 × 10<sup>−4</sup>.</span></p>
<p><span style="background-color: #ffffff;">State, giving a reason, the strength of citric acid.</span></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><span style="background-color: #ffffff;">The dissociation of citric acid is an endothermic process. State the effect on the hydrogen ion concentration, [H<sup>+</sup>], and on K<sub>a</sub>, of increasing the temperature.</span></p>
<p><img src="data:image/png;base64,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"></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><span style="background-color: #ffffff;">Calculate the standard Gibbs free energy change, <math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }"><mi mathvariant="normal">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math>, in kJ mol<sup>−1</sup>, for the first dissociation of citric acid at 298 K, using section 1 of the data booklet.</span></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><span style="background-color: #ffffff;">Comment on the spontaneity of the reaction at 298 K.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline <strong>two</strong> laboratory methods of distinguishing between solutions of citric acid and hydrochloric acid of equal concentration, stating the expected observations.</span></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><span style="background-color: #ffffff;">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> <em><strong>AND</strong> </em>C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup><br><em><strong>OR</strong></em><br>H<sub>2</sub>O <em><strong>AND</strong> </em>H<sub>3</sub>O<sup>+</sup> ✔</span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">weak acid <em><strong>AND</strong> </em>partially dissociated<br><em><strong>OR</strong></em><br>weak acid <em><strong>AND</strong> </em>equilibrium lies to left<br><em><strong>OR</strong></em><br>weak acid <em><strong>AND</strong> K</em><sub>a</sub> < 1 ✔</span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">«</span><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }"><mi mathvariant="normal">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> = −<em>RT</em> ln <em>K</em> = −8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K × ln(5.01 × 10<sup>–4</sup>) ÷ 1000 =» 18.8 «kJ mol<sup>–1</sup>» ✔</span></p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">non-spontaneous <em><strong>AND</strong></em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }"><mi mathvariant="normal">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> positive ✔</span></p>
<div class="question_part_label">a(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br></span></p>
<p><span style="background-color: #ffffff;">«electrical» conductivity <em><strong>AND</strong> </em>HCl greater ✔<br></span></p>
<p><span style="background-color: #ffffff;">pH <em><strong>AND</strong> </em>citric acid higher ✔<br></span></p>
<p><span style="background-color: #ffffff;">titrate with strong base <em><strong>AND</strong> </em>pH at equivalence higher for citric acid ✔<br></span></p>
<p><span style="background-color: #ffffff;">add reactive metal/carbonate/hydrogen carbonate <em><strong>AND</strong> </em>stronger effervescence/faster reaction with HCl ✔<br></span></p>
<p><span style="background-color: #ffffff;">titration <em><strong>AND</strong> </em>volume of alkali for complete neutralisation greater for citric acid ✔<br></span></p>
<p><span style="background-color: #ffffff;">titrate with strong base <em><strong>AND</strong> </em>more than one equivalence point for complete neutralisation of citric acid ✔<br></span></p>
<p><span style="background-color: #ffffff;">titrate with strong base <em><strong>AND</strong> </em>buffer zone with citric acid ✔<br></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept “add universal indicator </span></em><span style="background-color: #ffffff;"><strong>AND</strong></span> <em><span style="background-color: #ffffff;">HCl more red/pink” for M2. </span></em></p>
<p><em><span style="background-color: #ffffff;">Accept any acid reaction </span></em><span style="background-color: #ffffff;"><strong>AND</strong></span> <em><span style="background-color: #ffffff;">HCl greater rise in temperature. </span></em></p>
<p><em><span style="background-color: #ffffff;">Accept specific examples throughout. </span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept “smell” or “taste”.</span></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">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(v).</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><span style="background-color: #ffffff;">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p><span style="background-color: #ffffff;">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>
<p><span style="background-color: #ffffff;">The <em>x</em>-axis and <em>y</em>-axis are shown with arbitrary units.</span></p>
<p><span style="background-color: #ffffff;"><img src="images/2.PNG" alt width="564" height="283"></span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">This decomposition obeys the rate expression:</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - \frac{{d[{{\text{N}}_2}{\text{O]}}}}{{dt}}">
<mo>−<!-- − --></mo>
<mfrac>
<mrow>
<mi>d</mi>
<mo stretchy="false">[</mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<mtext>O]</mtext>
</mrow>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
</math></span> = <em>k</em>[N<sub>2</sub>O]</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce how the rate of reaction at <em>t</em> = 2 would compare to the initial rate.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">It has been suggested that the reaction occurs as a two-step process:</span></p>
<p><span style="background-color: #ffffff;">Step 1: N<sub>2</sub>O (g) → N<sub>2</sub> (g) + O (g)</span></p>
<p><span style="background-color: #ffffff;">Step 2: N<sub>2</sub>O (g) + O (g) → N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p><span style="background-color: #ffffff;">Explain how this could support the observed rate expression.</span></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><span style="background-color: #ffffff;">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>
<p><span style="background-color: #ffffff;">Sketch, on the axes in question 2, the graph that you would expect.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The experiment gave an error in the rate because the pressure gauge was inaccurate.</span></p>
<p><span style="background-color: #ffffff;">Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></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><span style="background-color: #ffffff;">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>
<p><img src="images/2f.PNG" alt width="637" height="309"></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the standard entropy change, in J K−1, for the decomposition of dinitrogen monoxide. </span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><img src="images/2gi.PNG" alt width="325" height="154"></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Dinitrogen monoxide has a positive standard enthalpy of formation, Δ<em>H</em><sub>f</sub></span><sup>θ</sup><span style="background-color: #ffffff;">.</span></p>
<p><span style="background-color: #ffffff;">Deduce, giving reasons, whether altering the temperature would change the </span><span style="background-color: #ffffff;">spontaneity of the <strong>decomposition</strong> reaction.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">increase in the amount/number of moles/molecules «of gas» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">from 2 to 3/by 50 % <strong>[✔]</strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«rate of reaction decreases»<br>concentration/number of molecules in a given volume decreases<br><em><strong>OR</strong></em><br>more space between molecules <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">collision rate/frequency decreases<br><em><strong>OR</strong></em><br>fewer collisions per unit time <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">half «of the initial rate» <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><strong>Note: </strong><em>Accept “lower/slower «than initial rate»”.</em></span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">1 slower than 2<br><em><strong>OR</strong></em><br>1 rate determinant step/RDS <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">1 is unimolecular/involves just one molecule so it must be first order<br><em><strong>OR</strong></em><br>if 1 faster/2 RDS, second order in N<sub>2</sub>O<br><em><strong>OR</strong></em><br>if 1 faster/2 RDS, first order in O <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></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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width="541" height="253"></p>
<p><span style="background-color: #ffffff;">smaller initial gradient <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[</span><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">no <em><strong>AND</strong> </em>it is a systematic error/not a random error</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">no <em><strong>AND</strong> </em>«a similar magnitude» error would occur every time <strong>[✔]</strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="635" height="419"></p>
<p><span style="background-color: #ffffff;">catalysed and uncatalysed E<sub>a</sub> marked on graph <em><strong>AND</strong> </em>with the catalysed being at lower energy <strong>[✔]</strong><br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E > E<sub>a</sub><br><em><strong>OR</strong></em><br>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub> <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “more molecules have the activation energy”.</span></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<span style="background-color: #ffffff;">S<sup>θ</sup> = 2(S<sup>θ</sup>(N<sub>2</sub>)) + S<sup>θ</sup>(O<sub>2</sub>) – 2(S<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span>(N<sub>2</sub>O))<br></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span>Δ<span style="background-color: #ffffff;">S<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = 2 × 193 «J mol<sup>-1</sup> K<sup>-1</sup>» + 205 «J mol<sup>-1</sup> K<sup>-1</sup>» – 2 × 220 «J mol<sup>-1</sup> K<sup>-1</sup>» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«ΔS<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = +»151 «J K<sup>-1</sup>» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">exothermic decomposition<br><em><strong>OR</strong></em><br>Δ<em>H</em><sub>(decomposition)</sub> < 0 <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>TΔS</em><sup>θ</sup> > Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ<br></span></sup></span></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span><span style="background-color: #ffffff;">Δ<em>G</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> «= Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> – <em>TΔS</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span>» < 0 «at all temperatures» <strong>[</strong><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<p><span style="background-color: #ffffff;">reaction spontaneous at all temperatures <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[</strong><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Students were able in general to relate more moles of gas to increase in pressure.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few students were able to relate the effect of reduced pressure at constant volume with a decrease in concentration of gas molecules and mostly did not even refer to this, but rather concentrated on lower rate of reaction and frequency of collisions. Many candidates lost a mark by failing to explain rate as collisions per unit time, frequency, <em>etc</em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Though the differential equation was considered to be misleading by teachers, most candidates attempted to answer this question, and more than half did so correctly, considering they had the graph to visualize the gradient.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students were able to identity step 1 as the RDS/slow but few mentioned unimolecularity or referred vaguely to NO<sub>2</sub> as the only reagent (which was obvious) and got only 1 mark.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students drew a lower initial gradient, but most did not reflect the effect of lower temperature on pressure at constant volume and started and finished the curve at the same pressure as the original one.</p>
<p> </p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates identified the inaccurate pressure gauge as a systematic error, thus relating accuracy to this type of error.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The graph was generally well done, but in quite a few cases, candidates did not mention that increase of rate in the catalyzed reaction was due to <em>E</em> (particles) > <em>E</em><sub>a</sub> or did so too vaguely.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates were able to calculate the ΔS of the reaction, though in some cases they failed to multiply by the number of moles.</p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Though the question asked for decomposition (in bold), most candidates ignored this and worked on the basis of a the Δ<em>H</em> of formation. However, many did write a sound explanation for that situation. On the other hand, in quite a number of cases, they did not state the sign of the Δ<em>H</em> (probably taking it for granted) nor explicitly relate Δ<em>G</em> and spontaneity, which left the examiner with no possibility of evaluating their reasoning.</p>
<div class="question_part_label">g(ii).</div>
</div>
<br><hr><br><div class="specification">
<p>This reaction is used in the manufacture of sulfuric acid.</p>
<p style="text-align: center;">2SO<sub>2</sub> (g) + O<sub>2</sub> (g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> 2SO<sub>3</sub> (g) <em>K</em><sub>c</sub> = 280 at 1000 K</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State why this equilibrium reaction is considered homogeneous.</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>Predict, giving your reason, the sign of the standard entropy change of the forward reaction.</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 standard Gibbs free energy change, Δ<em>G</em><sup>Θ</sup>, in kJ, for this reaction at 1000 K. Use sections 1 and 2 of the data booklet.</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>Predict, giving your reasons, whether the forward reaction is endothermic or exothermic. Use your answers to (b) and (c).</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>0.200 mol sulfur dioxide, 0.300 mol oxygen and 0.500 mol sulfur trioxide were mixed in a 1.00 dm<sup>3</sup> flask at 1000 K.</p>
<p>Predict the direction of the reaction showing your working.</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>all «species» are in same phase ✔</p>
<p> </p>
<p><em>Accept “all species are in same state”.</em></p>
<p><em>Accept “all species are gases”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>negative <em><strong>AND</strong> </em>fewer moles/molecules «of gas» in the products ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em><sup>Θ</sup> =«–RT ln <em>K</em><sub>c</sub> =» –8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 1000 K × ln 280</p>
<p><em><strong>OR</strong></em></p>
<p>Δ<em>G</em><sup>Θ</sup> = – 4.7 × 10<sup>4</sup> «J» ✔</p>
<p> </p>
<p>«Δ<em>G</em><sup>Θ</sup> =» – 47 «kJ» ✔</p>
<p> </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>Δ<em>G</em><sup>Θ</sup> < 0/spontaneous <em><strong>AND</strong></em> Δ<em>S</em><sup>Θ</sup> < 0/unfavourable ✔</p>
<p>exothermic <em><strong>AND </strong></em>Δ<em>H</em><sup>Θ </sup> «must be» negative/favourable ✔</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«reaction quotient/<em>Q</em> =» <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{{\left[ {{\text{S}}{{\text{O}}_3}} \right]}^2}}}{{{{\left[ {{\text{S}}{{\text{O}}_2}} \right]}^2}\left[ {{{\text{O}}_2}} \right]}}{\text{/}}\frac{{{{0.500}^2}}}{{{{0.200}^2} \times 0.300}}{\text{/}}20.8">
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>S</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>3</mn>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>S</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
</mfrac>
<mrow>
<mtext>/</mtext>
</mrow>
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mn>0.500</mn>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mrow>
<msup>
<mrow>
<mn>0.200</mn>
</mrow>
<mn>2</mn>
</msup>
</mrow>
<mo>×</mo>
<mn>0.300</mn>
</mrow>
</mfrac>
<mrow>
<mtext>/</mtext>
</mrow>
<mn>20.8</mn>
</math></span> ✔</p>
<p> </p>
<p>reaction quotient/<em>Q</em>/20.8/answer < <em>K</em><sub>c</sub>/280</p>
<p><em><strong>OR</strong></em></p>
<p>mixture needs more product for the number to equal Kc ✔</p>
<p> </p>
<p>reaction proceeds to the right/products ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> award M3 without valid reasoning.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Hydrogen peroxide can react with methane and oxygen to form methanol. This reaction can occur below 50°C if a gold nanoparticle catalyst is used.</p>
</div>
<div class="specification">
<p>Now consider the second stage of the reaction.</p>
<p style="text-align: center;">CO (g) + 2H<sub>2</sub> (g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> CH<sub>3</sub>OH (l) Δ<em>H</em><sup>⦵</sup> = –129 kJ</p>
</div>
<div class="specification">
<p>Hydrogen peroxide can react with methane and oxygen to form methanol. This reaction can occur below 50°C if a gold nanoparticle catalyst is used.</p>
</div>
<div class="specification">
<p>Methanol is usually manufactured from methane in a two-stage process.</p>
<p style="text-align: center;">CH<sub>4 </sub>(g) + H<sub>2</sub>O (g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> CO (g) + 3H<sub>2 </sub>(g)<br>CO (g) + 2H<sub>2 </sub>(g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> CH<sub>3</sub>OH (l)</p>
</div>
<div class="specification">
<p>Consider the first stage of the reaction.</p>
<p style="text-align: center;">CH<sub>4 </sub>(g) + H<sub>2</sub>O (g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> CO (g) + 3H<sub>2 </sub>(g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The diagram shows the Maxwell-Boltzmann curve for the uncatalyzed reaction.</p>
<p>Draw a distribution curve at a lower temperature (T<sub>2</sub>) <strong>and</strong> show on the diagram how the addition of a catalyst enables the reaction to take place more rapidly than at T<sub>1</sub>.</p>
<p><img style="display:block;margin-left:auto;margin-right:auto;" src="data:image/png;base64,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" width="486" height="385"></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>The hydrogen peroxide could cause further oxidation of the methanol. Suggest a possible oxidation product.</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 overall equation for the production of methanol.</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>8.00 g of methane is completely converted to methanol. Calculate, to three significant figures, the final volume of hydrogen at STP, in dm<sup>3</sup>. Use sections 2 and 6 of the data booklet.</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>Determine the enthalpy change, Δ<em>H</em>, in kJ. Use section 11 of the data booklet.</p>
<p>Bond enthalpy of CO = 1077 kJ mol<sup>−1</sup>.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State <strong>one</strong> reason why you would expect the value of Δ<em>H</em> calculated from the <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msubsup><mi>H</mi><mi>f</mi><mi mathvariant="normal">⦵</mi></msubsup></math> values, given in section 12 of data booklet, to differ from your answer to (d)(i).</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the expression for <em>K</em><sub>c</sub> for this stage of the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State and explain the effect of increasing temperature on the value of <em>K<sub>c</sub></em>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The equilibrium constant, <em>K</em><sub>c</sub>, has a value of 1.01 at 298 K.</p>
<p>Calculate Δ<em>G</em><sup>⦵</sup>, in kJ mol<sup>–1</sup>, for this reaction. Use sections 1 and 2 of the data booklet.</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>Calculate a value for the entropy change, Δ<em>S</em><sup>⦵</sup>, in J K<sup>–1</sup> mol<sup>–1</sup> at 298 K. Use your answers to (e)(i) and section 1 of the data booklet.</p>
<p>If you did not get answers to (e)(i) use –1 kJ, but this is not the correct answer.</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>Justify the sign of Δ<em>S</em> with reference to the equation.</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>Predict, giving a reason, how a change in temperature from 298 K to 273 K would affect the spontaneity of the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="430" height="342"></p>
<p>curve higher <em><strong>AND</strong> </em>to left of T<sub>1</sub> ✔</p>
<p>new/catalysed <em>E</em><sub>a</sub> marked <em><strong>AND</strong> </em>to the left of E<sub>a</sub> of curve T<sub>1</sub> ✔</p>
<p><em><br>Do <strong>not</strong> penalize curve missing a label, not passing exactly through the origin, or crossing x-axis after E<sub>a</sub>.</em><br><em>Do <strong>not</strong> award M1 if curve drawn shows significantly more/less molecules/greater/smaller area under curve than curve 1.</em><br><em>Accept E<sub>a</sub> drawn to T<sub>1</sub> instead of curve drawn as long as to left of marked E<sub>a</sub>.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>methanoic acid/HCOOH/CHOOH<br><em><strong>OR</strong></em><br>methanal/HCHO ✔</p>
<p><em>Accept “carbon dioxide/CO<sub>2</sub>”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>4</sub>(g) + H<sub>2</sub>O(g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> CH<sub>3</sub>OH(l) + H<sub>2</sub>(g) ✔</p>
<p><em><br>Accept arrow instead of equilibrium sign.</em></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>amount of methane = « <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>16</mn><mo>.</mo><mn>05</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math> = » 0.498 «mol» ✔</p>
<p>amount of hydrogen = amount of methane / 0.498 «mol» ✔</p>
<p>volume of hydrogen = «0.498 mol × 22.7 dm<sup>3 </sup>mol<sup>−1</sup> = » 11.3 «dm<sup>3</sup>» ✔</p>
<p><em><br>Award <strong>[3]</strong> for final correct answer.</em><br><em>Award <strong>[2 max]</strong> for 11.4 «dm<sup>3</sup> due to rounding of mass to 16/moles to 0.5. »</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Σbonds broken = 4 × 414 «kJ» + 2 × 463 «kJ» / 2582 «kJ» ✔</p>
<p>Σbonds formed = 1077 «kJ» + 3 × 436 «kJ» / 2385 «kJ» ✔</p>
<p>Δ<em>H</em> «= Σbonds broken − Σbonds formed =( 2582 kJ − 2385 kJ)» = «+»197«kJ» ✔</p>
<p><em><br>Award <strong>[3]</strong> for final correct answer.</em><br><em>Award <strong>[2 Max]</strong> for final answer of −197 «kJ»</em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>bond energies are average values «not specific to the compound» ✔</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>K</mi><mi mathvariant="italic">c</mi></msub><mo>=</mo><mfrac><mrow><mfenced open="[" close="]"><mi>CO</mi></mfenced><msup><mfenced open="[" close="]"><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub></mfenced><mn>3</mn></msup></mrow><mrow><mfenced open="[" close="]"><msub><mi>CH</mi><mn>4</mn></msub></mfenced><mfenced open="[" close="]"><mrow><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub><mi mathvariant="normal">O</mi></mrow></mfenced></mrow></mfrac></math> ✔</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>K<sub>c</sub></em> increases <em><strong>AND</strong> </em>«forward» reaction endothermic ✔</p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em><sup>⦵</sup> = − <em>RT lnK<sub>c</sub></em>»<br>Δ<em>G</em><sup>⦵</sup> = − 8.31 «J K<sup>−1</sup> mol<sup>−1</sup>» × 298 «K» × ln (1.01) / −24.6 «J mol<sup>−1</sup>» ✔</p>
<p>= −0.0246 «kJ mol<sup>–1</sup>» ✔</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1 max]</strong> for +0.0246 «kJ mol<sup>–1</sup>».</em></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em><sup>⦵</sup> = Δ<em>H</em><sup>⦵ </sup>− <em>TΔS</em><sup>⦵</sup>»</p>
<p>Δ<em>G</em><sup>⦵</sup> = −129 «kJ mol<sup>–1</sup>» − (298 «K» × Δ<em>S</em>) = −0.0246 «kJ mol<sup>–1</sup>» ✔</p>
<p>Δ<em>S</em><sup>⦵</sup> = « <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mfenced><mrow><mn>129</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>+</mo><mn>0</mn><mo>.</mo><mn>0246</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfenced><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow><mrow><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi></mrow></mfrac></math> = » −433 «J K<sup>–1</sup> mol<sup>–1</sup>» ✔</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award<strong> [1 max]</strong> for “−0.433 «kJ K<sup>–1 </sup>mol<sup>–1</sup>»”.</em></p>
<p><em>Award <strong>[1 max]</strong> for “433” or “+433” «J K<sup>–1</sup> mol<sup>–1</sup>».</em></p>
<p><em>Award<strong> [2]</strong> for −430 «J K<sup>–1</sup> mol<sup>–1</sup>» (result from given values).</em></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«negative as» product is liquid and reactants gases<br><em><strong>OR</strong></em><br>fewer moles of gas in product ✔</p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>reaction «more» spontaneous/Δ<em>G</em> negative/less positive <em><strong>AND</strong> </em>effect of negative entropy decreases/TΔ<em>S</em> increases/is less negative/more positive<br><em><strong>OR</strong></em><br>reaction «more» spontaneous/Δ<em>G</em> negative/less positive <em><strong>AND</strong></em> reaction exothermic «so <em>K</em><sub>c</sub> increases » ✔</p>
<p><em>Award mark if correct calculation shown.</em></p>
<div class="question_part_label">e(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.</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(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">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iv).</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">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Ammonia is produced by the Haber–Bosch process which involves the equilibrium:</p>
<p style="text-align: center;">N<sub>2 </sub>(g) + 3 H<sub>2 </sub>(g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2 NH<sub>3 </sub>(g)</p>
<p>The percentage of ammonia at equilibrium under various conditions is shown:</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
<p style="text-align: center;"><sup>[The Haber Bosch Process [graph] Available at: https://commons.wikimedia.org/wiki/File:Ammonia_yield.png</sup><br><sup>[Accessed: 16/07/2022].]</sup></p>
</div>
<div class="specification">
<p>One factor affecting the position of equilibrium is the enthalpy change of the reaction.</p>
</div>
<div class="specification">
<p>The standard free energy change, Δ<em>G</em><sup>⦵</sup>, for the Haber–Bosch process is –33.0 kJ at 298 K.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the expression for the equilibrium constant, <em>K</em><sub>c</sub>, for this 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>State how the use of a catalyst affects the position of the equilibrium.</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>With reference to the reaction quotient, Q, explain why the percentage yield increases as the pressure is increased at constant temperature.</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>Determine the enthalpy change, Δ<em>H</em>, for the Haber–Bosch process, in kJ. Use Section 11 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why the value obtained in (b)(i) might differ from a value calculated using Δ<em>H</em><sub>f</sub> data.</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>Demonstrate that your answer to (b)(i) is consistent with the effect of an increase in temperature on the percentage yield, as shown in the graph.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, giving a reason, whether the reaction is spontaneous or not at 298 K.</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>Calculate the value of the equilibrium constant, <em>K</em>, at 298 K. Use sections 1 and 2 of the data booklet.</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>Calculate the entropy change for the Haber–Bosch process, in J mol<sup>–1 </sup>K<sup>–1</sup> at 298 K. Use your answer to (b)(i) and section 1 of the data booklet.</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>Outline, with reference to the reaction equation, why this sign for the entropy change is expected.</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><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi>c</mi></msub><mo>=</mo><mfrac><msup><mfenced open="[" close="]"><mrow><mi>N</mi><msub><mi>H</mi><mn>3</mn></msub></mrow></mfenced><mn>2</mn></msup><mrow><mfenced open="[" close="]"><msub><mi>N</mi><mn>2</mn></msub></mfenced><msup><mfenced open="[" close="]"><msub><mi>H</mi><mn>2</mn></msub></mfenced><mn>3</mn></msup></mrow></mfrac></math> ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>same/unaffected/unchanged ✔</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>increasing pressure increases «all» concentrations<br><em><strong>OR</strong></em><br>increasing pressure decreases volume ✔</p>
<p><em><br>Q</em> becomes less than <em>K</em><sub>c</sub><br><em><strong>OR</strong></em><br>affects the lower line/denominator of Q expression more than upper line/numerator ✔</p>
<p><br>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» ratio of products to reactants increases<br><em><strong>OR</strong></em><br>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» equilibrium shifts to right/products ✔</p>
<p> </p>
<p><em>Award <strong>[2 max]</strong> for answers that do not refer to Q.</em></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>bonds broken</em>: N≡N + 3(H-H) /«1 mol×»945 «kJ mol<sup>–1</sup>» + 3«mol»×436 «kJ mol<sup>–1</sup>» / 945 «kJ» + 1308 «kJ» / 2253 «kJ» ✔</p>
<p><em>bonds formed</em>: 6(N-H) / 6«mol»×391 «kJ mol<sup>–1</sup>» / 2346 «kJ» ✔</p>
<p>Δ<em>H</em> = «2253 kJ - 2346 kJ = » -93 «kJ» ✔</p>
<p> </p>
<p><em>Award <strong>[2 max]</strong> for (+)93 «kJ».</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«N-H» bond enthalpy is an average «and may not be the precise value in NH<sub>3</sub>» ✔</p>
<p> </p>
<p><em>Accept ΔH<sub>f</sub> data are more accurate / are not average values.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>increased temperature decreases yield «as shown on graph» ✔</p>
<p>shifts equilibrium in endothermic/reverse direction ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>spontaneous <em><strong>AND</strong> </em>Δ<em>G</em> < 0 ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>ln</mi><mo> </mo><mi>K</mi><mo>=</mo><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mo>∆</mo><mi>G</mi></mrow><mrow><mi>R</mi><mo>.</mo><mi>T</mi></mrow></mfrac><mo>=</mo><mo>⟩</mo><mo>⟩</mo><mo> </mo><mo>-</mo><mfrac><mrow><mo>-</mo><mn>33000</mn></mrow><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mi>x</mi><mn>298</mn></mrow></mfrac><mo> </mo><mo>/</mo><mo>«</mo><mo>+</mo><mo>»</mo><mn>13</mn><mo>.</mo><mn>3</mn></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>K</mi><mo> </mo><mo>=</mo><mo> </mo><mn>6</mn><mo>.</mo><mn>13</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></math> ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept answers in the range 4.4×10<sup>5</sup> to 6.2×10<sup>5</sup> (arises from rounding of ln K).</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em> = «Δ<em>H</em> – <em>T</em>Δ<em>S</em> =» –93000 «J» – 298«K» × Δ<em>S</em> = –33000 ✔</p>
<p>Δ<em>S</em> = 〈〈<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mo>-</mo><mn>93000</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><mo>-</mo><mfenced><mrow><mo>-</mo><mn>33000</mn><mo> </mo><mi mathvariant="normal">J</mi></mrow></mfenced></mrow><mrow><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi></mrow></mfrac></math>〉〉 = –201 «J mol<sup>–1 </sup>K<sup>–1</sup>» ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> penalize failure to convert kJ to J in <strong>both</strong> (c)(ii) and (c)(iii).</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer</em></p>
<p><em>Award<strong> [1 max]</strong> for (+) 201 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>
<p><em>Award [2] for –101 or –100.5 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«forward reaction involves» decrease in number of moles «of gas» ✔</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;">
<p>Deducing the equilibrium constant expression for the given equation was done very well.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; however, some misread the question as asking for the effect of a catalyst on equilibrium, rather than on the position of equilibrium.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; very few identified the effect of increasing pressure on all concentrations. Consequently, <em>Q</em> becomes less than <em>K</em><sub>c</sub> (it affects the denominator of <em>Q</em> expression more than the numerator) was not addressed. Question was often answered with respect to kinetics, namely greater frequency of collisions and speed of reaction rather than from equilibrium perspective based on effect of increase in pressure on concentrations.</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; often the bond energy for single N–N bond instead of using it for the triple bond and not taking into consideration the coefficient of three in calculation of bond enthalpies of ammonia. Also, instead of using BE of bonds broken minus those that were formed, the operation was often reversed. Students should be encouraged to draw the Lewis structures in the equations first to determine the bonds being broken and formed.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Outlining why Δ<em>H</em><sub>rxn</sub> based on BE values differ due to being average compared to using Δ<em>H</em><sub>f</sub> values was generally done well.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; some did not relate that increased temperature decreases yield «as shown on graph» and others arrived at incorrect shift in equilibrium for the reaction.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Reason for the reaction being spontaneous was generally very done well indeed.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; for ln<em>K</em> calculation in the equation ΔG = RTln<em>K</em>, ΔG unit had to be converted from kJ to J. This led to an error of 1000 in the value of ln<em>K</em> for some.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Very good performance; since the unit for <em>S</em> is J mol<sup>˗1</sup> K<sup>˗1</sup>, Δ<em>G</em> and Δ<em>H</em> needed to be converted from kJ to J, but that was not done in some cases.</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Average performance for sign of the entropy change expected for the reaction. Some answers were based on Δ<em>G</em> value rather than in terms of decrease in number of moles of gas or had no idea how to address the question.</p>
<div class="question_part_label">c(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, has a wide variety of uses including the removal of ice from aircraft and heat transfer in a solar cell.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Calculate Δ<em>H</em><sup>θ</sup>, in kJ, for this similar reaction below using <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\rm{f}}^\theta ">
<mi mathvariant="normal">Δ</mi>
<msubsup>
<mi>H</mi>
<mrow>
<mrow>
<mi mathvariant="normal">f</mi>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
</math></span> data from section 12 of the data booklet. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\rm{f}}^\theta ">
<mi mathvariant="normal">Δ</mi>
<msubsup>
<mi>H</mi>
<mrow>
<mrow>
<mi mathvariant="normal">f</mi>
</mrow>
</mrow>
<mi>θ</mi>
</msubsup>
</math></span> of HOCH<sub>2</sub>CH<sub>2</sub>OH(l) is –454.8kJmol<sup>-1</sup>.</p>
<p>2CO (g) + 3H<sub>2</sub> (g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> HOCH<sub>2</sub>CH<sub>2</sub>OH (l)</p>
<p>(ii) Deduce why the answers to (a)(iii) and (b)(i) differ.</p>
<p>(iii) Δ<em>S</em><sup>θ</sup> for the reaction in (b)(i) is –620.1JK<sup>-1</sup>. Comment on the decrease in entropy.</p>
<p>(iv) Calculate the value of ΔG<sup>θ</sup>, in kJ, for this reaction at 298 K using your answer to (b)(i). (If you did not obtain an answer to (b)(i), use –244.0 kJ, but this is not the correct value.)</p>
<p>(v) Comment on the statement that the reaction becomes less spontaneous as temperature is increased.</p>
<div class="marks">[6]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the <sup>1</sup>HNMR data for ethanedioic acid and ethane-1,2-diol by completing the table.</p>
<p><img src="data:image/png;base64,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" alt></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>i<br>«ΔH = Σ Δ<em>H</em><sub>f</sub> products – ΣΔ<em>H</em><sub>f</sub> reactants = –454.8 kJ mol<sup>-1</sup> – 2(–110.5 kJ mol<sup>-1</sup>) =» –233.8 «kJ»</p>
<p> </p>
<p>ii<br>in (a)(iii) gas is formed and in (b)(i) liquid is formed<br><em><strong>OR</strong></em><br>products are in different states<br><em><strong>OR</strong></em><br>conversion of gas to liquid is exothermic<br><em><strong>OR</strong></em><br>conversion of liquid to gas is endothermic<br><em><strong>OR</strong></em><br>enthalpy of vapourisation needs to be taken into account</p>
<p><em>Accept product is «now» a liquid.</em><br><em>Accept answers referring to bond enthalpies being means/averages.</em></p>
<p> </p>
<p>iii<br>«Δ<em>S</em> is negative because five mols of» gases becomes «one mol of» liquid<br><em><strong>OR</strong></em><br>increase in complexity of product «compared to reactants»<br><em><strong>OR</strong></em><br>product more ordered «than reactants»</p>
<p><em>Accept “fewer moles of gas” but not “fewer molecules”.</em></p>
<p><br><br>iv<br>Δ<em>S</em> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mo>−</mo>
<mn>620.1</mn>
</mrow>
<mrow>
<mn>1000</mn>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span>«kJ K<sup>-1</sup>»<br>Δ<em>G</em> = –233.8 kJ – (298 K <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mo>−</mo>
<mn>620.1</mn>
</mrow>
<mrow>
<mn>1000</mn>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span> kJ K<sup>-1</sup>) = –49.0 «kJ»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Award <strong>[1 max]</strong> for «+»185 × 10<sup>3</sup>.</em></p>
<p><em>If –244.0 kJ used, answer is:</em><br>Δ<em>G</em> = –244.0 kJ – (298 K <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mo>−</mo>
<mn>620.1</mn>
</mrow>
<mrow>
<mn>1000</mn>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span>kJ K<sup>-1</sup>) = –59.2 «kJ»<br><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p> </p>
<p>v<br>increasing T makes Δ<em>G</em> larger/more positive/less negative<br><em><strong>OR</strong></em><br>–TΔ<em>S</em> will increase</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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0AEv/04li+E26ZBHIUIqEpmXGOzI7yVormNmIeHs0/IO76JdxZtqpNK228EMeGe7hH3aY1QNPr9L8aiCo6nvcuiNHHOl766ELTWCy23cPuGMSDCl/yiGoqM7+HoOi0BgX5oqaSxmAdNyD08fG+OEujqrodaT1/6Ge4h/GZ+NfIfQlLSQApEcKqY3fLOARWO89tjLLomBYmofyPv1xnYvvRLSmRYC8as21KmTtUUAZL9XFarWpPnVM161WrBbtuMxaauZZq+r7hiHtxWkDptG6jOePGcqvkj7n7oB+gKMrHUv5a1/Rj9kL5FIRQtwNXmSW/my6vNYUqB7U1A+Op/SFI/33oFOX34CVEEKmeECTyeKU+OJbI9RriYX52SSJTQTJQXszgmz52KIcSpi/v1J3HGTKbEq/VxrlsweWa9aZr1mtHornDbJLNg/hOMj9W536yFKXXK3FZMo1PlTSE+SrEjOEsWSxdPYe70uEbW03DEGhimz2SyWg+xHsPkmfw8sZ87rqHRdng54YxdSHDVQ6wtMI25sx4iXFh3lQAyb5aaAPQTn2L+lHhXPyjSFSYzme51eqeX8rvsoe6EGH7Or1J+XK+PhSEhlvFTvI3FAYxPmYarL5x921KWmvB7mRCnjlMtfti5TA/C700kTqdeu8JVd53BFJo+XPdYbPJa9nZfSSRl7nRGhfuAzRH8LIJ+vbZNE8a9E+LQqdY8Py1cBj/dGGbMrXvtibViJs91TvXuJGOy29WrVz2iMzpJrWU1Oz2Bbt26IYde5+tGm9k5DQ9f+iWrazC4p3l27N/9+H54d/ixri5I1Ml+N6T1Y9FzkaiO/Ds138949VaqtzEs3RbeSMljkoAk4JWANiKK4YGHMFk93QxqUl/6Rd/Frequ/JYE2pGAHIvtCLcZotvDqNuMYmUSSUAS6JQE/CL50ezpJKtuC7UR0l2gkpDfN4qAHIs3irTXcqTbwisWebC9CXgzg7V3mVK+JPB9EJBj/fugLstsSwLexrC0PLQlYSlLEpAEJAFJQBK4CQhI5eEm6GTZRElAEpAEJAFJoC0JdAPkbIu2JCplSQKSgCQgCUgCXZCA5ww5ZbaF54Eu2F7ZpA5IwJsPrQNWU1ZJEpAEJIGbnoC3+7V0W9z0w0ICkAQkAUlAEpAEWkZAKg8t4yVTSwKSgCQgCUgCNz0BqTzc9ENAApAEJAFJQBKQBFpGQCoPLeMlU0sCkoAkIAlIAjc9Aak83PRDQAKQBCQBSUASuJEEysvLef7555k7d+6NLLZNy7qG8lCNedsy5XfGxW+Ne/9bxjZztaNS1cXkHdjG6h1m9++liR9dUfKuJrv8On9FrU2b3oQwm5ltfxDtVdtWSvaKP7Bw4R9YkV3aREZvp64nrzd5bXFM/DDMakd/rsimvCmRDVg0lVieu3EEvuHgWxPo+0Im1htX6E1c0mWKNy+gb7dudOumJ2XzV15YfMXmFD0iMr1b0moK6v0Y6JWDb6EX5/q+RKZVnPRIr8gVsh1/fVPeYvPBc9QT4aXMrn3IXrCapG6xvJD5dds21H6C1Ul6klafaAFjO5UF6bz10oYGfduSyuXm5vLouHiWLVtGyODolmTtUGmvoTy0pK7VmHdtIG2nCUsn0RFa0jqZVhLoOASsnEh9g5e2fNFxqtTVa2Ldx58W/JlzSju/ZH/hBa7Ub/OVCxTu/9JxdNdm/nHoG48UVyg9Y0Y5e48eXYAGPNN7pBSb59Y+x+TYcczdfKYFD7d6QrrAriZyFulXTbyZcFsHaE05n616mecO1rS6Lvv37+Xee+/l84NH+Ou2T/iPf3u61bK+74zN/lVNn9gUXp6oR/1p8oYVd1ofGp7oAkdCMcz7PYZWteR68raqwGZk0hJsmMWS1jWoGfJlkvYiYD/3GeveXUvp5CeZGrCOI+1VkJTrQeAbDv71bZY6NAfl+JdHzlDKCMI9UlF6hiNO3QE+4u0Pv+CpEQkEKmm+IT/HpGyFx9xJmHhtO6+mn8Kqk2uZFenrkGY/x2d//HcmPbuW1QtW8LNHXiUhsA3f8zzrLLdvGIH9+7MYNephpbylf0tj7o/jb1jZ7VFQs5WHpgsXpvm/YLTUKslqTaksNgUSm7KAicEeOa+WY/5kN1sy87ESRFTCBB4dE0mw67qoojg3kx1bc1zWC60ulqTE0cTpg9Hg+TvsY0lJ9OFYRiYmSw1odcRNm0JypEjn/ChulD2kZ4nyAPHLf0ljGBkdgZ+ahrplanVxTBqvc511bKjtA13yL5hnCHWet1NdfIxDpgPsMlkcrpoGZTSS116OOWcvGemqpcYXXex4JoyLIcLP1YJ69QCqi8ndtYOtanmIfAkkjr4ffbDanVcoN3/OXpUNAk8ckyYkEBPhD3U4ev6efXNYiOxmtr2WiqnW2cd6N82GFZZH2oyA/QRrZv4B8wsreDX2O9a0mWApqHECdioP/he/fe4jYAp/WTWYt2Yv4cv9hZy9AuHqJQdcOVvIfg9B59Zt5p+/GsXjET3A/jWnc88C4dwzqC8BnunD9dwZ1sOdUxPOA79+kVc/3s3sXbtINz1LQod483ZXsc22KgvI/HAVS2YvJUsROo7nV73A7CfiiQzQINwW4wf9JzEZH/NmAmS+8CiJuf+HjCWBpL/wAkuzzkH4DJalvsz8sZEKV0VMZQG733+NlOfWco5hzFj2PGNK1zN73QgyTrxKguiA+h/7OQ6ue5ffznTWJf55Vi2czRMJQu7XjrKXHgRmM0j7nzyv1Kl5FhGhOCyYPZ3ePn2YuuhFnpv2k/qld7r9Jp5Sbd2WMvL+Zw2piuIgZFeQn7mBNZ9YnGa5K5Rlb2TlJrfiIFLZLCaM67eRU1bPSGjZTWqq0aE4OBKSs24DnxRfdlTcfoHs9WtIUxUHcdSaT1baGtZmnMFhJ2lYps2Sw6aVmzA59CCHLK//7VRb9rB25YfsdD3I1TJWsnxbgbMMb5krMW9fS6pRVRxEmhospi2sXJ9DWWOOTmebNnmWp+Qzsn7T5858dqrNH7PKk43CUbRrI9n1Obqqdz0sXELkRnsS0OgYv+a/eT0hwq0gt2d5UjbYv2LXf64mi3Dil/2W6eNjeFBw+dLMmVLPe5KHW4JJvLHsl4Sf28yK9ELH/e38cfbsEqaLvsTceRsaPNKrbgxP3hodw8cOAs6Se/rrLuq6+IaD7z/L9D1D+Mt3NsRKx7azv0W77ime/rCg8Tbveo0lm3oxe7uFq1cvcXb9QD4a9yzvH3S6iexn2PzryaQcSSBTkbufF4Oz+N3SXZ6E626LPHPH8aPMfrx59hJXr9r47i9D2DN9Mr9WXEe3kfDmx2Q8PwLGreKkrWlXiohr2Lx5M9XV1VgsRfz6F7OoLe5J1A8f5U/Pzqtbdifd89Cbm26Bw5rgJY3O8eZqmPccoduWk2qyUsfF4YrGu4i1dxLzX4ojomcFeRtTSTteQYX5K75J1BFsLyE3+ww2QohNmcNEfQD2smxWvWekyPY1FypqIcRDOxeWi+QneMygo6crXTnmom9JjAih6mgG6UU1aHUJzJkxBp0fjof9B5lY9h7gX4Y7iOY46emF2NASOGQSs6fGEEw5BcY0NuQ4LQlemqwcsp/lwId7FAuJuww75XlbWJWWh9VkZNfQvkzUNxRgL87hH6YyIIghU1KYGh0C5blsXLWV40VZpB8dyrRoh7HTM7f93BGyi2ogMI6UBcno/eyUZa/jPWMhtnMXqLgKIaJe/zBhrdOmMifvQtLTjzN82lBPsY7tqhaw0OqZ+PslTGwoRR5pVwIBhNexk7drYVI4lyneuowFq49C+IssfCqWAH8t99wllIeTFJ6tgXD1FbaGs4UnHczuepCxs+6j4u0/s3TdTg49oefufBO7lbMDGaQTedzpXW4Mr8TP8WX5ReVBegPf9LzWpM0P2ks4vPsE90yNU6wMQr4mfCyvf2J2FeX1PSp8JgtfnuTM04Pw2NE8EL6C3YdLeHZEIJVZK1iwcwzLP3+SwSK2hEAGz3qT9ScPk7jOJdpjw45V5FkdxasnZ/NAuOM5EzD457y3/iSDp68gS3EdeWRpZFMoC4te+iX/3LSFkvAx/NvZs3y6Yx09ii5xJiyUg++9hp9f17DUNlt5aIRVCw7fxn1jRjhN8kHoh4ajPV7hnpWh0ZH47GIShTn/8yNkl1Zyat9+ipTgyytcrBKmAA/lIWg4Y+J0DvdDiJ5h4T4UWdTqXOLsKefD35LJitcz1RPO79McNVcyLKSUEkV+P0Yl3eN0nwQTmWAg0pRGfhOBn/ZzJzlcIRLczugJD6JTXA0agqOTSDpqJi2/jMPHSpigv6Ve2Ta+KTpDhTiqM5AUHeJ4iwyO4cnnYuqlrburiUjk2SWJ2MvNfJ6bQ2nVKfZlCeUHsFdRdckONV9hVuo1wKNNIUQ/+SzuuF4b9UN+7BWtZ1G3lnJPEugaBOzFO/i9EiQ5jFnL5xGvxB30YeCDd8GXX3HkTAWMUJWHCs4ccczACJ98H3cHj2T2q1NYOvtvfPjZT5h92uwItnS5KEqd6d1ujDrU7BYO7xbKyF08OLAPN/BGXaca7bqjCWP42MHM/t1/sXVYElTqGKe4CFpYakBfBt0D606epZLbMKXv4tw9/5dhTiXAIS0A3aCBjQgud+QJH1fXfYSGAJ2ee879p9N11Eh2j8NCMUiIu4dl7/4XfHWJ3372NBPvuY3DYTF88O5z9NPVd4l7ZO5km80ek3WsCa1qpD/+fmq4pYae/v7KQ9P9fK7CkvE3PsgqcisUrnK608vfx7WnbPTyxx0aEEBomB9Y1KDNSkpL1O262Rx7tXx38RJX/SupFAe0fvTyFT8w6vz09KeXUFjdlVPPuL6vVjvz+txBf09/JT7493JgrS0p5VvqKw+XKb8grA6t+FSfIWPterJEjEf9j8Yf/54abGcvcL7+uWbsu9rTChbNEC+TSAKdjMA3HPr7alYrQZJHWT35TlbXa4FjxsUdjge79V/k7BbRkqoy4It+1KOMYzZL3/x/cJtzZozqonDNtLiLsFt7NXBD2c0H2Ki4OaYwZpgaY1WvAp1+91ZG/HYDJ+/7J/s2vclsxa0QTvzzr7Jw9k9IiGxofW3XJp97g8Rb3vBSxAiafq2rm+XRnz7DmvOnWLFoLef7DOTTI7czYsodPPnouLoJO/les5WH9m6nvTibDxXFIYio+B9wV//B3D+gnO1KYF5LS+9Jr95C2ait60KpJ8ZeHKAE2FTYyiituAL+TsvGpSouerWXuQV083Pmrf2KMyWX0YugKOVTS9VFhy/UJyy0geogrCfBfUJEcARcrKJalNMse+Rlig9sdygOIihz1CD6DxrOgPKPeC3VhBqioQ3uw+2AhSqqqoX2oyps7rp723K1pxUsvMmTxySBzkvAM0iy8VZ4zriwl5wmV1E0BjF2uM5xSUf+mBeeH8GupX9kqVOMy0XhmmlxB/f0D6pbiP0MW998B+GhD5/1U5L0zlkYdVN1kb1AIhMeV/5mvXmZcwd38Lc/LSIx3qwENt7Q+QgilmHnLCIbvR83f62JJ556iZm/eQ++7U7vO3z506v/3kX6y92MRjG5k9yILTs1ZRccMyK0QQyIeYA4fSDfHDtEgfpUbFE1AtAPu1N5bNYe+oQsS5WIbaY8L41lYsGqxX8nr8qOJnwQw4PEw/Vrvvj0OOXiQW4vpyAzm4ImrA6iKu6859m7Yz8WRQsQZaSTni/KC2H40DAvj24tt/brj3K7qDjMp0fLHIFBwqqw4jUWLlzM2xlqEKlno2soO/+dckB76wBi4kagv/Vbjn3+pUtxUE7eegf6+m1CWHVWsli0/e0Mir0oRu72tJyFZy3ltiTQ6QnYC/jwpWXOIMkcvrt6VQnmEwF9IpDu24wXHVM0nTMuwE6lxeyYNhtu4L67xYwm8QkmNmmcx3TOuxgbd7cyddM9M2MQA/u6lQMxFTf1xaeYrMRZzOLV5x4hooPcpZ2NasevHoSPmMRTKT8i/JyZ01giOKIAABU4SURBVCXO4PcWlehkfsSMpdLzRleJ5WRhI5LUPF9w9JxnmUKJfIeHuz3B6gIv1t5GpInDfn5h/GnhU/QbcDt//es7xERGNpG6c55qtuWh0YBJfJzTF2/BL0AEglhpdKpmo4w0+EbcSYT2OEW2QozvvoJRSetPYKAPWL3EPDQqS5zQ4H/3SEbrCsmyFJG14g3nNCBxzhfd6JHc7S+uyDBiDP3ZayzEenwT7yza1KTUOic1fRn541i+SM3B2iCuQktgbDLj9MIf2tB9oomI48exR0g1lXE87V0WpXlIDozmkXvDvBgj/IkYEIY2vxBbkZF3FzkIERBIoBasasyDv0e9GrQpiCGPxBCuAc/la5TSNS1gIadqenSY3OxaBESQ5HJ+J1wG4b/k6Sdj3NP/HBeKww8uFnL68jMOF9YwIhJK1JgG1S3hTBsYP4NXx61htuKCUK0Mdqq+LUe8YsAKJvddoWzV/TeOF9f/gZmDb7Dpvm4l2ndPrPI4fgLrYpayYqEzALKygH+mH4RZ8xwWF3fsZDProiEwfh7Lx09myWux6BS5lRRsfpslYppluDfXgZpnAgteWonuP+byQHh3Kgu2suS3f4ZlG3jCuQaHEjeRK6pSQ2VldwICGn+EJk3/Nx57aiG6LhTn4NkJbajT9iD83kTidKoWLdwG13h996iJJuR+Jk9PJEo8CcUnMIqElDnMGiUCTKooOHraebF5ZGpq068/iTNmMiU+yrlIi7LYAbGTZzIjsb9znYfuhBimMndyHDpnsWI9hMlzJxNbL8SiYVEa/PTJLJj/BONjdW4Lg3ApTJnLgomRHmtJ1M8dgP5HM0hJjnWVqyg1scmkzH6MaNd6DZ75uhMSN5HpCWp7tARGJZIydzqjwn3A5ggCFYqTn/5RZqckE+vqC7HOQyzJKTOVmR3eO/16WHjWU25LAp2XQN0gyeeY5HJHutukCbuTGGXWSyEnLSJqyv1We9fY4Qz0vMA0A0ma97jT+qBaGS67lQ23WMeWWLMg7SNMZ7d3/Sm5msHMXLORp0O3Ed9b61iau/cUtoXOY/urE1pvcdH05/E/buAll9wHea0wlqeXTapP272v5NnE+jFFvNC3J926aekdv43Qpzey4dkHnAqkL/rxc3nx8u8YpB3I5A/NjU8nBSIjI7us4iDAiSjBq8IcJz+SwI0kINbwl+PuRhKXZUkCNzOBGgpWzyD+5HxOvKmu+nkz82hZ273drz115JZJk6klAUlAEpAEJIEORcCONfMl+vadzeoT6k/GXebcZ6t47XdVPPvEfW5LdIeqd+erjFQeOl+fyRpLApKAJCAJeCUg4heeZvvyKPYk3OL8ldKejPhzNRO3r+TZEbd6zSUPtpyAdFu0nJnM0QYEvJnB2kCsFCEJSAKSgCTQxgS83a+l5aGNIUtxkoAkIAlIApJAVycglYeu3sOyfZKAJCAJSAKSQBsTkMpDGwOV4iQBSUASkAQkga5OQCoPXb2HZfskAUlAEpAEJIE2JiCVhzYGKsVJApKAJCAJSAJdnYBUHrp6D8v2SQKSgCQgCUgCbUxAmarZxjKlOElAEpAEJAFJQBLoYgQ8VwVWftXD80AXa6tsTgcl4G3ecAetqqyWJHBdBORYvy58MnMHIOBtDEu3RQfoGFkFSUASkAQkAUmgMxGQykNn6i1ZV0lAEpAEJAFJoAMQkMpDB+gEWQVJQBKQBCQBSaAzEZDKQ2fqLVlXSUASkAQkAUmgAxCQykMH6ARZBUmgIxAoLy/n9ddfx2KxdITqyDpIApJAByagzLZovH7VmLctJ9Wk/i66t5SBxKYsYKLeD6qLyTtkwlQ+lJQJerQieXk2K94xYmEAyc+kYAhWjnoT1DGPVeWxYWka+ZpYUl6eiP5a1RcMDuwhPSsfhZpWR2xSIqPj9AS3WFVz8/eJTeHliXq018PzevJ2zN65+WpVWUDmh6tYMnspWUrrhzFj2Vu8PH8skQEtHmAufvv37+XXv5jLwSMnGRobi06nc52TG5LAtQlYydvwZ9Ly/YhNmcNEfUC9LM7zJQ8w/zeJRDR3qFYXk7srh4rYCTwc0aOezI60e5nijL/y/t4Qpjw/lWj/5jawuW2wU5W3kaVpZYye/xSJHYBFG7awGvOuDaTtNGGxNRdIB09XfYaMddvJb257RPq1a0hTFQfRPJsFk3E9q7YXUN3Bmyur18EJ2M+w+deTmb6nH2+evYSYYm07+z4xR35L/K+3UmxvXf3Xrl3BqFEPKYrDtk/3MXHcuNYJkrkkAcowbcnCXN3KwViHoJ2qf33KVtNZ2kJaHdFtvtODiMQFLFn8ZDsoDm1e2TYReA3Lg7sM15uv+1C9ra70aLxCuXkfH2/JIt/aXM1BDPQD7LXUgLYf8XN+RqKuB2XZ63jPWIj10EH+NVZ//QMr2MC8JYZ67OXuzUDAbs5gxeqe/DxjKg+EO97CNOEP8uuXn+HjQa/zp589xJsJt7UIxfL3XufpX72s5Nm9bx+PPPhgi/LLxJJAHQIBgQReNLFlVyQLJkbiV+ek3OlKBJqtPDTd6FKyV/wFo6VWSVZrSmWxyenOCPbIebUc8ye72ZIpTPpBRCVM4NExkR7m/CqKczPZsTXHZb3Q6mJJShxNnD4YDTbKs1N5x3gKdGNJSfThWEYmJuWBrSNu2hSSI0U656e+CyEwivikMYyMjmhyUNvMH7E81UQtQURG+fFl/lmurUJcoaK0TEmnjYzDoPNXKhEyaDDhxkIstjJKK66Af2OmNzvVxbns2rHT1Z7YSYkMUNuifjfmenC6jLJ3qZafIKLiH2HMyGFE+LmIqFLc3zYz215LxVTr4X5yn5VbHYiAJnIW6VdnNVKjs+Se/ho7t7nHfyMp1cNrU//Ify//o7K7YWe6VBxUMPK79QR8hjF2dAlbdxrZNbSvF/eFp+gqivOy2ZO+1/mS5nnPwmmmP67cU7PeX8LeqCk8Py0ax51VlaOa888R+dAAvtv/BRabP1FTfsm06EDs5QXs+XgHmfkVgJbAqNEkjTEQHeGWYi83k7M3g3STBRu+6GITiMaE8dBtDhcERxXXdUGkZ/lquaeJVMryreu2UPJspjjyfiK/y1Xu6Vq1/vZyzHs+dj4HAW/PJZEmZy8Z6Y77uXgOPhLWVPiAyuPGfbeR8tCcCpeR9z9rsFhUABXkZ26gxD6H3yTq0HCFsuyNrDQW1nlQ2ywmjOvL4emfYwgRq2k7P5bdpKaqOw73QM66Dfip/iD7BbLXr8FYVONOZM0nK+0U5tLpzEjs34QC0QNdbDIPjb6fAeUf8VqzlAen2SrRXRzYqS4vc8Y+hBAa1Dhue1kO61caKVK1FOHu2JSKyVNcY9uKu2Q9WUKJcn0qyM9KI/+LIlIWJKNvSoFw5ZEbnZfAKKaOurNJxUEEQoaEhODn58f+/bt465VXOfG1P8+99SeefFS6Kjpv33ekmvcgNO6HJB1biXFLFkMbvfdUYcn4Gx/stRM77Ve8EhkM5fkY0zbzvnrPip7K8zTXz19BQeG9zHnhFfpWn+e8XwD2smxWvZeJPfZxnnklimCNs8yVRVxUnifdobqA7av+m4KIscx9aS4RPb+hwJjGhpwLoG2ZFa9hL9iwFpwlYM4zLOl7meLzPfAXz6VVK0m338e0ZxYRGayh2rKHtR+sofDiXGYb+qChEvP2taQW3E7y3BeZF+FLdXEOWzYcwsb11qlhLVt7pPGnWT2JDmtCvYNiV5fMM/MMGOY9R6gzuLKOi6NczXMRa+8k5r8UR0TPCvI2ppJ2vIIK81d8k6gj2F5CbvYZbIS4Am4cnS8eqF9zoaIWQjzf2oOISn6Cxww6eiqDRKQrx1z0LYkRIVQdzSC9qAatLoE5M8agE/GcSidlYtl7gH8Z7mjUhaDVj2eW3lFvm6v+ajua/20vz2PrFhNWofHeO4K7Gw2isXI0PcuhOARGM2X2Y0SLa6lgN2kbDrisMN5Lvkzxge0OxcHlLvHHXp7LxlVbOW69hglRq2fi75cw0btwebSjE7CfYeub73Bk1ius1vt6ra3FUsT/WzyfdWuzCRs5ks1/XcqoUUn07v0DxvxoCK/83zle88mDkkCrCHTrQ9zjCRx9L71x90WVmU/3XiAiaa7bWhwcxYSf/wjr0s3840AMv0ns24Li/Yk0jEAnXpL8wgnHSt6WLIoCf8D8ZKE4CFH+6BKn8vj5P7M5/TjDpw2Dfx3k0MW7eXxSnNNCG0xk8g8ZXfABWep7bgtqUT+p2wrtT0S4sFZsI73oFkbPTyQy2PH49dON4eePl7B0cwZHh08lmkI+O1RN1OM/xOC0kPhFxDEp6TQFaWX1i/je9puwZ7d1nW7jvjEjHB2kCUI/NNwxG0MtRqMj8dnFLHllBkPLjpCdvZv/Xp3ufBO/wsUqh0tETU7QcMbE6RTrgSZEz7BwH9cpuMTZU8IEJeIVM1nx+iIWLlzE6ysyHQ9i22mOmis90rf9pvvhbYPAWB4bp2/c0mG3UlpyCfBBNyqeaGVQdSc48kEMkW7zmtda2i9w4vDXikkuaPR4Hna6SzTB0UxMGoQWG9bD+RSrFg2vQuTBzknAyok1f2BB4U9Y/+qERiPYz5wpJCv7OPf2/oZjZ+z85IlJGG7py3ff/S+r3nxFsUR0zvbLWndUApqQ+3k8qT8XTUZ2NbjX2qkyH6PAdgsD+91a11rmG8ztgWA9X46nHbXF7aw6zdGCKrRhoQTVecr5EnJ7b2wFxzBXWTEfPY0tsA8hvh6JNH0YPLw93vArHeVp61uhNfiG9CFQeS5ZnWx6c3uI58uAM02LQbRfhmZbHupYE1pVH3/8/dR5jhp6+vsrg8b9THOalLKK6rgtHEV1p5e/p3IA9PLHbYkPIDTMDyxq0GYlpSXqtrfK1vLdxUvg8veraXzQJf+CeYZQ9UCrvusqDsKS8KjbbeCtzKQEwioFiZ707tXTo0wf/Htdo4uu1lCp5A3krv4hHheiB+PaMkq/teE0pnjIl5udl4CVE6ufIeF38GrmMyQ4Ayi9tefBB+PZnv4JEx7+AaHmM3wdfoEjQSN5849v0E9OyfSGTB67bgLdCRHui6Oq+2KUh0R3fJjHwTqbtpJSKuwQVOdoy3ds+Wm8sTCtYUZtSMNjN+qI7ThpbyyiYa38CePabG5UNa9VzjWeTNfK3nbn7cXZfKgoDiJo5gfc1X8w9w8oZ7sSzNfScnrSq7dQNmppUumxfdtSwddM76k4uF0mHlqtNwnd/AgI0ELFJUpKrdgJdCoBtVRdvOIth/tYN19n3ot8eaYMu17Ej4iPnUtVVY4pTj4hhN6ihbZvrrsecuvGEbCf47M//juTlnXn1cx3mDU48Jpl63QDmDN/Bvs++ICNJwZzx5ALPP3ElGvmkwkkgVYT0Hi6L0Jxqw/dCQoNQUvjJviGFoPW1EJLULwaU+ctv5U8b4fb+1hQfBNrXQjXRtNs2rt6zZXfQZQHOzVlF5yBhUEMiHmAuBAoz8ugoJ63onkNC0A/7E60+cepPfQJWSP6KtMmy/O2sCotD6t2iHMhjzb29yvBNyLOQLgq4pg+Q8Ra1FMcvMYYXKa4JpusrPNUfJHN0XvVmIf9ZBdUNd1kp4lNybt3J58MElNERcxDHtvST2IT8RbDo4hQjT5NS5NnOzgB+7nd/G5aCm8wk01Z/87jkddWHNQmTZo6n7++n8aAIZdJ/ety6a5QwcjvdiPgcF+c4D1jJvsCa8WEB0CDv34okdrtFBZ9w8MRIkjQ+akp57wVAocHI4z2rXZd+N/JsMieFBR+RcXDOkJcBVRi3vYBqV/ew/zfPOx4ThQUUVRxhYgQ9XFYQ9n57wCndUJxpWgpUOvY6m/nc6lBeXaqzUaWp57mPhHwr7D5iPNlNeBaDMrjGdnq8ts2o0rrmlIbDZgUfnrF1H8LfgFiVq+VRqdqNlqKBt+IO4nQHqfIVojx3VcwKmn9CQz0Aasa8+AZMNmoMMfgvHsko3WFZFmKyFrxhnM1PpHHF93okU0ELzYl1/OcOj1VxIwKV0cQZbn7OaSuC2HNIfX1HI8MTU2F7EF4zAj67TVSZM0j7Z08LyYtD1F1NnsQMXIcsV9swGSt31YxDSiu6XgLlxulqfrVKVDufF8EKj/jbaE4nHycTZ8v5nHXjaV5FdLp7uKn/+cpZsyYIVeQbB4ymeq6CXi4L4pq3X4Ifz0Pje7DB+lbMIY4p9iri/L1iiVlZF80qH5+YaG4yqXqS/j49XQrGk3WLZBhSfHkvJfJ/xhvZYoSNFlFcfZ2tpggNiWOCI0GhiWSlLOS9P/Zyx3Ky14NxdkfkZ5f5VR0xOPEEQORtTeHbIueRJ1j9sNW5eXM083cZIUczyVXebsJmTLWMdtCzKTY8gXE/pSRyjU9hKSkg7y3eSMZweJl0LO89ojFuFa9vZ9vtvLgPbvn0R6E35tInHkzOcqUQeE2cEc0eKb0ti001MnTL7kXZgqMIuGxsUSXbudd4ykKjp6mKnqot6zej/n1J3HGTELrLxU9aQLjYppe58G7wGsdraAg76sWtLiuPE1IHNPn9my4zsOZLaQ1uTw44BfJxAVzGXDIRIvXeahbDbnXYQnUUPDhWzyXdQ74M5N1f25Q0/DnMzjxZgJN2SJeeumlBvnkAUmgXQm43BdGilwFiZkPP2NuaDZ7tv2JRcpLl3BZ/4j5HmvTaMJjeGTIYdLef5WsJs39LsGuDcc9tRcH9uzknUUblOPKukEpM4hTl8/W9MEwfSa9Duzh768vcsyMizJwX1QQWS5Tg3hBe4zJlTvYqryIivUi4pmYFEdJWq6rvGZteJS37Z1XPH7CYBqz49Sg+u6EGKYy1y+THR+8QZZ4jAYOYfyo4ZQYi5tVzI1IJBZOuCqWuZWf1hAQ67Wv5uiwWcqCJK2RcLPm6datm7K88s3aftnum4eAHOudra/b+3cqOhsP8DaGXZ6gztec77vGdqotB8k238IAj9XKvu9ayfIlAUlAEpAEJIH2JiCVh9YStn9N7q7TRPx0InGuQJvWCpP5JAFJQBKQBCSBzkNAui06T191qZp6M4N1qQbKxkgCTgJyrMuh0NkJeBvD0vLQ2XtV1l8SkAQkAUlAErjBBKTycIOBy+IkAUlAEpAEJIHOTkBxW3T2Rsj6SwKSgCQgCUgCkkD7EvCcmdndc6d9i5XSJQFJQBKQBCQBSaArEJBui67Qi7INkoAkIAlIApLADSQglYcbCFsWJQlIApKAJCAJdAUC/x99TwrPSxkxEAAAAABJRU5ErkJggg==" alt></p>
<p><em>Accept “none/no splitting” for singlet.</em></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br>