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</div><h2>HL Paper 2</h2><div class="specification">
<p class="p1">Consider the following reaction studied at 263 K.</p>
<p class="p1">\[{\text{2NO(g)}} + {\text{C}}{{\text{l}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{2NOCl(g)}}\]</p>
<p class="p1">It was found that the forward reaction is first order with respect to <span class="s1">\({\rm{C}}{{\rm{l}}_2}\) </span>and second order with respect to NO. The reverse reaction is second order with respect to NOCl.</p>
</div>
<div class="specification">
<p class="p1">Consider the following equilibrium reaction.</p>
<p class="p1">\[\begin{array}{*{20}{c}} {{\text{C}}{{\text{l}}_2}({\text{g)}} + {\text{S}}{{\text{O}}_2}({\text{g)}} \rightleftharpoons {\text{S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}({\text{g)}}}&{\Delta {H^\Theta } = - 84.5{\text{ kJ}}} \end{array}\]</p>
<p class="p1">In a \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) closed container, at 375 °C, \({\text{8.60}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol}}\) of \({\text{S}}{{\text{O}}_{\text{2}}}\) and \({\text{8.60}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol}}\) of \({\text{C}}{{\text{l}}_{\text{2}}}\) were introduced. At equilibrium, \({\text{7.65}} \times {\text{1}}{{\text{0}}^{ - 4}}{\text{ mol}}\) of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\) was formed.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the rate expression for the forward reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Predict the effect on the rate of the forward reaction and on the rate constant if the concentration of NO is halved.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">1.0 mol of <span class="s1">\({\rm{C}}{{\rm{l}}_2}\) </span>and 1.0 mol of NO are mixed in a closed container at constant temperature. Sketch a graph to show how the concentration of NO and NOCl change with time until after equilibrium has been reached. Identify the point on the graph where equilibrium is established.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Consider the following reaction.</p>
<p class="p1">\[{\text{N}}{{\text{O}}_2}{\text{(g)}} + {\text{CO(g)}} \to {\text{NO(g)}} + {\text{C}}{{\text{O}}_2}{\text{(g)}}\]</p>
<p class="p1">Possible reaction mechanisms are:</p>
<p class="p1">\(\begin{array}{*{20}{l}} {{\text{Above 775 K:}}}&{{\text{N}}{{\text{O}}_2} + {\text{CO}} \to {\text{NO}} + {\text{C}}{{\text{O}}_{\text{2}}}}&{{\text{slow}}} \\ {{\text{Below 775 K:}}}&{{\text{2N}}{{\text{O}}_2} \to {\text{NO}} + {\text{N}}{{\text{O}}_{\text{3}}}}&{{\text{slow}}} \\ {}&{{\text{N}}{{\text{O}}_3} + {\text{CO}} \to {\text{N}}{{\text{O}}_2} + {\text{C}}{{\text{O}}_2}}&{{\text{fast}}} \end{array}\)</p>
<p class="p1">Based on the mechanisms, deduce the rate expressions above and below 775 K.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State <strong>two </strong>situations when the rate of a chemical reaction is equal to the rate constant.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Consider the following graph of \(\ln k\) against \(\frac{1}{T}\) for the first order decomposition of \({{\text{N}}_{\text{2}}}{{\text{O}}_{\text{4}}}\) into \({\text{N}}{{\text{O}}_{\text{2}}}\). Determine the activation energy in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) for this reaction.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-03_om_06.19.19.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/06.d"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the equilibrium constant expression, \({K_{\text{c}}}\), for the reaction.</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 class="p1">Determine the value of the equilibrium constant, \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">If the temperature of the reaction is changed to 300 °C, predict, stating a reason in each case, whether the equilibrium concentration of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\) and the value of \({K_{\text{c}}}\) will increase or decrease.</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">If the volume of the container is changed to \({\text{1.50 d}}{{\text{m}}^{\text{3}}}\), predict, stating a reason in each case, how this will affect the equilibrium concentration of \({\text{S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}\) and the value of \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest, stating a reason, how the addition of a catalyst at constant pressure and temperature will affect the equilibrium concentration of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{C}}{{\text{l}}_{\text{2}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{rate}} = k{{\text{[NO]}}^2}{\text{[C}}{{\text{l}}_{\text{2}}}{\text{]}}\);</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">rate of reaction will decrease by a factor of 4;</p>
<p class="p1">no effect on the rate constant;</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-03_om_05.50.02.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/06.a.iii/M"></p>
<p class="p1"><span class="s1"><em>y </em></span>axis labelled concentration/\({\text{mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\)<span class="s3"> </span>and <span class="s1"><em>x </em></span>axis is labelled time/s;</p>
<p class="p1">gradient for [NO];</p>
<p class="p1">gradient for [NOCl] will be equal and opposite;</p>
<p class="p1">equilibrium point identified / two curves level off at same time;</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Above 775 K: \({\text{rate}} = k{\text{[N}}{{\text{O}}_2}{\text{][CO]}}\);</p>
<p class="p1">Below 775 K: \({\text{rate}} = k{{\text{[N}}{{\text{O}}_2}{\text{]}}^2}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">zero order reaction;</p>
<p class="p1">all concentrations are \({\text{1.0 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{slope}} = \frac{{9.2 - 8.4}}{{(3.53 - 3.65) \times {{10}^{ - 3}}}} = - 6.67 \times {10^3}\);</p>
<p>\(({E_{\text{a}}} = 6.67 \times {10^3} \times 8.31)\)</p>
<p>\({\text{55.4 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Accept in range 55.0 – 56.0</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>if 55454 (J) stated</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(({K_{\text{c}}}) = \frac{{{\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}}}{{{\text{[C}}{{\text{l}}_2}{\text{][S}}{{\text{O}}_2}{\text{]}}}}\);</p>
<p class="p1"><em>Ignore state symbols.</em></p>
<p class="p1"><em>Square brackets [ ] required for the equilibrium expression.</em></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{7.84}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol of S}}{{\text{O}}_2}\) and \({\text{7.84}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol of C}}{{\text{l}}_2}\);</p>
<p class="p1">\({\text{7.84}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ of S}}{{\text{O}}_2}\), \({\text{7.84}} \times {\text{1}}{{\text{0}}^{ - 3}}{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ of C}}{{\text{l}}_2}\) <strong>and</strong></p>
<p class="p1">\({\text{7.65}} \times {\text{1}}{{\text{0}}^{ - 4}}{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{ of S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}\);</p>
<p class="p1">12.5;</p>
<p class="p2"><em>Award </em><span class="s1"><strong><em>[1] </em></strong></span><em>for 10.34</em></p>
<p class="p2"><em>Award </em><span class="s1"><strong><em>[3] </em></strong></span><em>for the correct final answer</em></p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">value of \({K_{\text{c}}}\) increases;</p>
<p class="p1">\({\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}\) increases;</p>
<p class="p1">decrease in temperature favours (forward) reaction which is exothermic;</p>
<p class="p2"><em>Do not allow ECF.</em></p>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">no effect on the value of \({K_{\text{c}}}\) / depends only on temperature;</p>
<p class="p1">\({\text{[S}}{{\text{O}}_2}{\text{C}}{{\text{l}}_2}{\text{]}}\) decreases;</p>
<p class="p1">increase in volume favours the reverse reaction which has more <span style="text-decoration: underline;">gaseous</span> moles;</p>
<p class="p2"><em>Do not allow ECF.</em></p>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">no effect;</p>
<p class="p1">catalyst increases the rate of forward and reverse reactions (equally) / catalyst decreases activation energies (equally);</p>
<div class="question_part_label">e.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (a) the rate expression was correctly stated although some confused this with an equilibrium constant expression.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Only the better candidates realized that the rate of reaction will decrease by a factor of four and there will be no effect on the rate constant.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Although most candidates were able to correctly sketch the concentration versus time graph many forgot to label the axes or include units.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (b) was well answered and candidates demonstrated a good understanding of rate expressions based on reaction mechanism.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The better candidates were able to figure out that the rate of a chemical reaction is equal to the rate constant when all concentrations are \({\text{1.0 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) or for a zero order reaction.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates had difficulty in calculating activation energy from the graph in part (d) and some gave the answer in \({\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) instead of \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) which showed that they missed this instruction in the question.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (e), the equilibrium constant expression was correctly stated by the majority but calculating the value of\({K_{\text{c}}}\) proved to be difficult.</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">A large number of candidates obtained the incorrect answer of 10.34 as a result of using the initial concentrations of the reactants instead of equilibrium concentrations.</p>
<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;">
<p class="p1">The application of Le Chatelier’s principle was handled well by the majority with minor omissions such as not using the term gaseous particles in part (iv).</p>
<div class="question_part_label">e.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some candidates stated that the addition of a catalyst does not affect the value of \({K_{\text{c}}}\) or the position of equilibrium, which did not answer the question and scored no marks because they had not commented on the concentration of \({\text{SOC}}{{\text{l}}_{\text{2}}}\). Some candidates correctly stated that a catalyst increases the rate of forward and reverse reactions equally.</p>
<div class="question_part_label">e.v.</div>
</div>
<br><hr><br><div class="specification">
<p>A class studied the equilibrium established when ethanoic acid and ethanol react together in the presence of a strong acid, using propanone as an inert solvent. The equation is given below.</p>
<p>\[{\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}} + {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{OH}} \rightleftharpoons {\text{C}}{{\text{H}}_{\text{3}}}{\text{COO}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} + {{\text{H}}_{\text{2}}}{\text{O}}\]</p>
<p>One group made the following <strong>initial mixture</strong>:</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-12_om_13.17.39.png" alt="M14/4/CHEMI/HP2/ENG/TZ2/01"></p>
</div>
<div class="specification">
<p>After one week, a \(5.00 \pm 0.05{\text{ c}}{{\text{m}}^{\text{3}}}\) sample of the final equilibrium mixture was pipetted out and titrated with \({\text{0.200 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) aqueous sodium hydroxide to determine the amount of ethanoic acid remaining. The following titration results were obtained:</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-12_om_14.35.01.png" alt="M14/4/CHEMI/HP2/ENG/TZ2/01.c"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The density of ethanoic acid is \({\text{1.05 g}}\,{\text{c}}{{\text{m}}^{ - 3}}\). Determine the amount, in mol, of ethanoic acid present in the initial mixture.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The concentration of ethanoic acid can be calculated as \({\text{1.748 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\). Determine the percentage uncertainty of this value. (Neglect any uncertainty in the density and the molar mass.)</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>Calculate the absolute uncertainty of the titre for Titration 1 (\({\text{27.60 c}}{{\text{m}}^3}\)).</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>Suggest the average volume of alkali, required to neutralize the \({\text{5.00 c}}{{\text{m}}^{\text{3}}}\) sample, that the student should use.</p>
<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>\({\text{3.00 c}}{{\text{m}}^{\text{3}}}\) of the \({\text{0.200 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) aqueous sodium hydroxide reacted with the hydrochloric acid present in the \({\text{5.00 c}}{{\text{m}}^{\text{3}}}\) sample. Determine the concentration of ethanoic acid in the final equilibrium mixture.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the equilibrium constant expression for the reaction.</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>The other concentrations in the equilibrium mixture were calculated as follows:</p>
<p><img src="images/Schermafbeelding_2016-08-12_om_15.09.29.png" alt="M14/4/CHEMI/HP2/ENG/TZ2/01.c.v"></p>
<p>Use these data, along with your answer to part (iii), to determine the value of the equilibrium constant. (If you did not obtain an answer to part (iii), assume the concentrations of ethanol and ethanoic acid are equal, although this is not the case.)</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>Outline how you could establish that the system had reached equilibrium at the end of one week.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why changing the temperature has only a very small effect on the value of the equilibrium constant for this equilibrium.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how adding some ethyl ethanoate to the initial mixture would affect the amount of ethanoic acid converted to product.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Propanone is used as the solvent because one compound involved in the equilibrium is insoluble in water. Identify this compound and explain why it is insoluble in water.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>one</strong> other reason why using water as a solvent would make the experiment less successful.</p>
<div class="marks">[1]</div>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({\text{M(C}}{{\text{H}}_{\text{3}}}{\text{COOH)}}\left( { = (4 \times 1.01) + (2 \times 12.01) + (2 \times 16.00)} \right) = 60.06{\text{ (g}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>Accept 60 (g mol</em><sup><em>–1</em></sup><em>).</em></p>
<p>\({\text{mass (C}}{{\text{H}}_3}{\text{COOH) }}( = 5.00 \times 1.05) = 5.25{\text{ (g)}}\);</p>
<p>\(\frac{{5.25}}{{60.06}} = 0.0874{\text{ (mol)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Accept 0.0875 (comes from using Mr = 60 g mol</em><sup><em>–1</em></sup><em>).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>percentage uncertainty in volume of ethanoic acid \( = 100 \times \frac{{0.05}}{{5.00}}{\text{ }} = 1\% \);</p>
<p>percentage uncertainty in total volume \( = 100 \times \frac{{0.62}}{{50}} = 1.24\% \);</p>
<p>total percentage uncertainty \( = 1 + 1.24 = 2.24\% \);</p>
<p><em>Accept rounding down to 2.2/2%.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\( \pm 0.1/0.10{\text{ }}({\text{c}}{{\text{m}}^3})\);</p>
<p><em>Do </em><strong><em>not </em></strong><em>accept without ±.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{26.00 (c}}{{\text{m}}^{\text{3}}}{\text{)}}\);</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(26.00 - 3.00 = 23.00{\text{ }}({\text{c}}{{\text{m}}^3})\);</p>
<p><em>If other methods used, award </em><strong><em>M1 </em></strong><em>for calculating amount of NaOH reacting with CH</em><sub><em>3</em></sub><em>COOH.</em></p>
<p>\(0.200 \times \frac{{23.00}}{{5.00}} = 0.920{\text{ }}({\text{mol}}\,{\text{d}}{{\text{m}}^{ - 3}})\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>If (ii) given as mean titre (26.5 cm</em><sup><em>3</em></sup><em>) then ECF answer comes to 0.94 (mol dm</em><sup><em>–3</em></sup><em>).</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(({K_{\text{c}}} = )\frac{{{\text{[C}}{{\text{H}}_3}{\text{COO}}{{\text{C}}_2}{{\text{H}}_5}{\text{][}}{{\text{H}}_2}{\text{O]}}}}{{{\text{[}}{{\text{C}}_2}{{\text{H}}_5}{\text{OH][C}}{{\text{H}}_3}{\text{COOH]}}}}\);</p>
<p><em>Do not penalize minor errors in formulas.</em></p>
<p><em>Accept</em> \(({K_{\text{c}}} = )\frac{{{\text{[}}esther{\text{][}}water{\text{]}}}}{{[ethanol/alcohol{\text{][(}}ethanoic{\text{) }}acid{\text{]}}}}\)<em>.</em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(({K_c} = )\frac{{0.828 \times 1.80}}{{0.884 \times 0.920}} = 1.83\);</p>
<p><em>If assumed [CH<sub>3</sub>COOH] = 0.884 mol dm<sup>-3</sup>, answer is 1.91 – allow this even if an answer was obtained for (iii).</em></p>
<p><em>If (ii) given as mean titre (26.5 cm<sup>3</sup>) then ECF answer comes to 1.79.</em></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>repeat the titration a day/week later (and result should be the same) / <em>OWTTE</em>;</p>
<p><em>Accept “concentrations/physical properties/macroscopic properties of the system </em><em>do not change”.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>enthalpy change/\(\Delta H\) for the reaction is (very) small / <em>OWTTE</em>;</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>decreases (the amount of ethanoic acid converted);</p>
<p><em>Accept “increases amount of ethanoic acid present <span style="text-decoration: underline;">at equilibrium</span>” / OWTTE.</em></p>
<p>(adding product) shifts position of equilibrium towards reactants/LHS / increases</p>
<p>the rate of the reverse reaction / <em>OWTTE</em>;</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ethyl ethanoate/\({\text{C}}{{\text{H}}_{\text{3}}}{\text{COO}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}\)/ester;</p>
<p>forms only weak hydrogen bonds (to water);</p>
<p><em>Allow “does not hydrogen bond to water” / “hydrocarbon sections too long” / OWTTE.</em></p>
<p><em>M2 can only be given only if M1 correct.</em></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(large excess of) water will shift the position of equilibrium (far to the left) / <em>OWTTE</em>;</p>
<p><em>Accept any other chemically sound response, such as “dissociation of ethanoic </em><em>acid would affect equilibrium”.</em></p>
<div class="question_part_label">h.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally candidates found this question quite challenging and some left quite a number of parts unanswered. The tradition is that the first question on the paper is a data response question, which often addresses many aspects of the syllabus, and unfortunately candidates, especially those of average or below average ability, seem to have difficulty in tackling questions of this nature. One other issue with data response questions is that, of necessity, the data appears at the beginning of the question whilst, mainly because of the space left for candidates to answer, the later parts of the question referring to these data may not appear until a number of pages into the paper.</p>
<p>Part (a) concerning density, volume and amount of substance was generally reasonably well answered, but the following parts, concerning uncertainties, were rarely answered correctly and a number confused precision (uncertainty, either absolute or as a percentage) and accuracy (percentage error in the value obtained). Many candidates also seemed to lack experimental common sense, simply taking an average that included an initial titre that was much larger than the concordant second and third titres, rather than excluding it. This lack of experimental “know how” was also evident in responses to (c) (iii) where it was unusual for the approach to the question to indicate the candidate had realised that the alkali was neutralising two different acids (HCl and \({\text{C}}{{\text{H}}_{\text{3}}}{\text{COOH}}\)) and again in part (d) where it was rare for the response to outline a practical solution to the problem, though quite a number of candidates suggested that the pH would become constant, presumably not realising that the pH would be dominated by the HCl catalyst. Most students could however carry out the more routine tasks of writing an equilibrium constant expression and determining its value from the data given. Many candidates were aware of Le Chatelier effects on the position of equilibrium, but a significant number failed to use this information to answer the question actually asked and the unusual approach to the effect of temperature disconcerted many. Whilst most students managed to identify the ester as the component of the mixture that was insoluble in water, the reasons given were usually couched in terms of the polarity of the molecule (many quite polar molecules, halogenoalkanes for example, are insoluble in water) rather than its inability to form strong hydrogen bonds to water, which is the critical factor. Quite a number of students came up with a valid reason why water would not be a suitable solvent, though some students appeared to have overlooked the fact the question stated “other reason”.</p>
<div class="question_part_label">h.</div>
</div>
<br><hr><br><div class="specification">
<p>A mixture of 1.00 mol SO<sub>2</sub>(g), 2.00 mol O<sub>2</sub>(g) and 1.00 mol SO<sub>3</sub>(g) is placed in a 1.00 dm<sup>3</sup> container and allowed to reach equilibrium.</p>
<p style="text-align: center;">2SO<sub>2</sub>(g) + O<sub>2</sub>(g) \( \rightleftharpoons \) 2SO<sub>3</sub>(g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Nitrogen oxide is in equilibrium with dinitrogen dioxide.</p>
<p>2NO(g) \( \rightleftharpoons \)Ā N<sub>2</sub>O<sub>2</sub>(g) Ā Ā Ī<em>H</em><sup>Ī</sup>Ā < 0</p>
<p>Deduce, giving a reason, the effect of increasing the temperature on theĀ concentration of N<sub>2</sub>O<sub>2</sub>.</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>A two-step mechanism is proposed for the formation of NO<sub>2</sub>(g) from NO(g) thatĀ involves an exothermic equilibrium process.</p>
<p>First step: 2NO(g) \( \rightleftharpoons \)Ā N<sub>2</sub>O<sub>2</sub>(g)Ā Ā Ā fast</p>
<p>Second step: N<sub>2</sub>O<sub>2</sub>(g) + O<sub>2</sub> (g) ā 2NO<sub>2</sub>(g)Ā Ā Ā slow</p>
<p>Deduce the rate expression for the mechanism.</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>The rate constant for a reaction doubles when the temperature is increased fromĀ 25.0 Ā°C to 35 Ā°C.</p>
<p>Calculate the activation energy, <em>E</em><sub>a</sub>, in kJ mol<sup>ā1</sup> for the reaction using section 1 and 2 ofĀ the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>[N<sub>2</sub>O<sub>2</sub>] decreases <strong><em>AND </em></strong>exothermic <strong>Ā«</strong>thus reverse reaction favoured<strong>Ā»</strong></p>
<p>Ā </p>
<p><em>Accept āproductā for [N</em><sub><em>2</em></sub><em>O</em><sub><em>2</em></sub><em>].</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept just āreverse reactionĀ </em><em>favoured/shift to leftā for ā[N<sub>2</sub>O<sub>2</sub></em><em>]Ā </em><em>decreasesā.</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><strong><em>ALTERNATIVE 1:</em></strong></p>
<p><strong>Ā«</strong>from equilibrium, step 1<strong>Ā»</strong></p>
<p>\({K_c} = \frac{{{\text{[}}{{\text{N}}_2}{{\text{O}}_2}{\text{]}}}}{{{{{\text{[NO]}}}^2}}}\)</p>
<p><strong><em>OR</em></strong></p>
<p>[N<sub>2</sub>O<sub>2</sub>] =Ā <em>K</em><sub><em>c</em></sub>[NO]<sup>2</sup></p>
<p><strong>Ā«</strong>from step 2, rate <strong>Ā«</strong>=Ā <em>k</em><sub>1</sub>[N<sub>2</sub>O<sub>2</sub>][O<sub>2</sub>] =Ā <em>k</em><sub>2</sub><em>K</em>[NO]<sup>2</sup>[O<sub>2</sub>]<strong>Ā»</strong></p>
<p>rate =Ā <em>k</em>[NO]<sup>2</sup>[O<sub>2</sub>]</p>
<p>Ā </p>
<p><strong><em>ALTERNATIVE 2:</em></strong></p>
<p><strong>Ā«</strong>from step 2<strong>Ā» </strong>rate =Ā <em>k</em><sub>2</sub>[N<sub>2</sub>O<sub>2</sub>][O<sub>2</sub>]</p>
<p><strong>Ā«</strong>from step 1, rate<sub>(1)</sub>Ā = k<sub>1</sub>[NO]<sup>2</sup>Ā =Ā <em>k<sub>ā</sub></em><sub>1</sub>[N<sub>2</sub>O<sub>2</sub>], [N<sub>2</sub>O<sub>2</sub>] = \(\frac{{{k_1}}}{{{k_{ - 1}}}}\)Ā [NO]<sup>2</sup><strong>Ā»</strong></p>
<p><strong>Ā«</strong>rate = \(\frac{{{k_1}}}{{{k_{ - 1}}}}\)Ā <em>k</em><sub>2</sub>[NO]<sup>2</sup>[O<sub>2</sub>]<strong>Ā»</strong></p>
<p>rate =Ā <em>k</em>[NO]<sup>2</sup>[O<sub>2</sub>]</p>
<p>Ā </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct rate expression.</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><strong>Ā«</strong>\(\ln \frac{{{k_1}}}{{{k_2}}} = \frac{{{E_a}}}{R}\left( {\frac{1}{{{T_2}}} - \frac{1}{{{T_1}}}} \right)\)<strong>Ā»</strong></p>
<p>T<sub>2</sub>Ā =Ā <strong>Ā«</strong>273 +Ā 35 =<strong>Ā» </strong>308 K <strong><em>AND </em></strong>T<sub>1</sub>Ā =Ā <strong>Ā«</strong>273 +Ā 25 =<strong>Ā» </strong>298 K</p>
<p><em>E</em><sub>a</sub>Ā = 52.9 <strong>Ā«</strong>kJ mol<sup>ā1</sup><strong>Ā»</strong></p>
<p>Ā </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">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">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">In an experiment conducted at 25.0 °C, the initial concentration of propanoic acid and methanol were \({\text{1.6 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) and \({\text{2.0 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) respectively. Once equilibrium was established, a sample of the mixture was removed and analysed. It was found to contain \({\text{0.80 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) of compound <strong>X</strong>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Two compounds, <strong>A </strong>and <strong>D</strong>, each have the formula \({{\text{C}}_{\text{4}}}{{\text{H}}_{\text{9}}}{\text{Cl}}\).</p>
<p class="p1">Compound <strong>A </strong>is reacted with dilute aqueous sodium hydroxide to produce compound <strong>B </strong>with a formula of \({{\text{C}}_{\text{4}}}{{\text{H}}_{{\text{10}}}}{\text{O}}\). Compound <strong>B </strong>is then oxidized with acidified potassium</p>
<p class="p1">manganate(VII) to produce compound <strong>C </strong>with a formula of \({{\text{C}}_{\text{4}}}{{\text{H}}_{\text{8}}}{\text{O}}\). Compound <strong>C </strong>resists further oxidation by acidified potassium manganate(VII).</p>
<p class="p1">Compound <strong>D </strong>is reacted with dilute aqueous sodium hydroxide to produce compound <strong>E </strong>with a formula of \({{\text{C}}_{\text{4}}}{{\text{H}}_{{\text{10}}}}{\text{O}}\). Compound <strong>E </strong>does not react with acidified potassium manganate(VII).</p>
<p class="p1">Deduce the structural formulas for compounds <strong>A</strong>, <strong>B</strong>, <strong>C</strong>, <strong>D </strong>and <strong>E</strong>.</p>
<p class="p2"><strong>A:</strong></p>
<p class="p2"><strong>B:</strong></p>
<p class="p2"><strong>C:</strong></p>
<p class="p2"><strong>D:</strong></p>
<p class="p2"><strong>E:</strong></p>
<div class="marks">[5]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce an equation for the reaction between propanoic acid and methanol. Identify the catalyst and state the name of the organic compound, <strong>X</strong>, formed.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the concentrations of the other three species present at equilibrium.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the equilibrium constant expression, \({K_{\text{c}}}\), and calculate the equilibrium constant for this reaction at 25.0 °C.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">2-chloro-3-methylbutane reacts with sodium hydroxide via an \({{\text{S}}_{\text{N}}}{\text{2}}\) mechanism. Explain the mechanism by using curly arrows to represent the movement of electron pairs.</p>
<div class="marks">[4]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain why the hydroxide ion is a better nucleophile than water.</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 class="p1">1-chlorobutane can be converted to a pentylamine via a two stage process. Deduce equations for each step of this conversion including any catalyst required <strong>and </strong>name the organic product produced at <strong>each </strong>stage.</p>
<div class="marks">[5]</div>
<div class="question_part_label">d.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-21_om_15.10.14.png" alt="M11/4/CHEMI/HP2/ENG/TZ1/07.a/M"></p>
<p class="p1"><em>Accept condensed formulas.</em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>if </em><strong><em>A </em></strong><em>and </em><strong><em>D </em></strong><em>are other way round (and nothing else correct).</em></p>
<p class="p1"><em>Award </em><strong><em>[2 max] </em></strong><em>if </em><strong><em>A </em></strong><em>and </em><strong><em>D </em></strong><em>are other way round but one substitution product </em><strong><em>B </em></strong><em>or </em><strong><em>E</em></strong><em> is correct based on initial choice of </em><strong><em>A </em></strong><em>and </em><strong><em>D</em></strong><em>.</em></p>
<p class="p1"><em>Award </em><strong><em>[3 max] </em></strong><em>if </em><strong><em>A </em></strong><em>and </em><strong><em>D </em></strong><em>are other way round but both substitution products </em><strong><em>B </em></strong><em>and </em><strong><em>E </em></strong><em>are correct based on initial choice of </em><strong><em>A </em></strong><em>and </em><strong><em>D</em></strong><em>.</em></p>
<p class="p1"><em>M2 (for </em><strong><em>B</em></strong><em>) and M5 (for </em><strong><em>E</em></strong><em>) may also be scored for substitution product if primary </em><em>chloroalkane used.</em></p>
<p class="p1"><em>Penalize missing hydrogens once only in Q.7.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\[{\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{COOH}} + {\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}} \rightleftharpoons {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{COOC}}{{\text{H}}_{\text{3}}} + {{\text{H}}_{\text{2}}}{\text{O}}\]</p>
<p class="p1"><strong><em>[1] </em></strong><em>for reactants and </em><strong><em>[1] </em></strong><em>for products.</em></p>
<p class="p1">(concentrated) sulfuric acid/\({{\text{H}}_{\text{2}}}{\text{S}}{{\text{O}}_{\text{4}}}\);</p>
<p class="p1"><em>Do not accept just </em>\({H^ + }\) <em>or acid.</em></p>
<p class="p1">methyl propanoate;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>[CH</em><sub><span class="s1"><em>3</em></span></sub><em>CH</em><sub><span class="s1"><em>2</em></span></sub><em>COOH]:</em></p>
<p class="p1">\((1.6 - 0.80 = ){\text{ }}0.8{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1"><em>[CH</em><sub><span class="s1"><em>3</em></span></sub><em>OH]:</em></p>
<p class="p1">\((2.0 - 0.80 = ){\text{ }}1.2{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1"><em>[H</em><sub><span class="s1"><em>2</em></span></sub><em>O]:</em></p>
<p class="p1">\({\text{0.80 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(({K_{\text{c}}} = )\frac{{{\text{[C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{COOC}}{{\text{H}}_{\text{3}}}{\text{][}}{{\text{H}}_{\text{2}}}{\text{O]}}}}{{{\text{[C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{COOH][C}}{{\text{H}}_{\text{3}}}{\text{OH]}}}}\);</p>
<p class="p1">\(\left( {{K_{\text{c}}} = \frac{{[{{(0.80)}^2}]}}{{\left[ {(1.2 \times 0.8)} \right]}} = } \right){\text{ }}0.7\);</p>
<p class="p1"><em>Allow 0.67.</em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for 0.83.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">curly arrow going from lone pair/negative charge on O in \({\text{H}}{{\text{O}}^ - }\) to C;</p>
<p class="p1"><em>Do not allow curly arrow originating on H in </em>\(H{O^ - }\)<em>.</em></p>
<p class="p1">curly arrow showing Cl leaving;</p>
<p class="p1"><em>Accept curly arrow either going from bond between C and Cl to Cl in 2-chloro-3-methylbutane or in the transition state.</em></p>
<p class="p1">representation of transition state showing negative charge, square brackets and partial bonds;</p>
<p class="p1"><em>Do not penalize if HO and Cl are not at 180°</em> <em>to each other.</em></p>
<p class="p1"><em>Do not award M3 if OH ---- C bond is represented.</em></p>
<p class="p1">formation of organic product 3-methylbutan-2-ol <strong>and</strong> \({\text{C}}{{\text{l}}^ - }\);</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{O}}{{\text{H}}^ - }\) has a negative charge/higher electron density;</p>
<p class="p1">greater attraction to the carbon atom (with the partial positive charge) / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not allow just greater attraction.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{Cl}} + {\text{KCN}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{CN}} + {\text{KCl}}\);</p>
<p class="p1"><em>Accept </em>\(C{N^ - }\) <em>for KCN and </em>\(C{l^ - }\) <em>for KCl.</em></p>
<p class="p1">pentanenitrile;</p>
<p class="p1"><em>Allow 1-cyanobutane.</em></p>
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{C}}{{\text{H}}_2}{\text{C}}{{\text{H}}_2}{\text{CN}} + {\text{2}}{{\text{H}}_2} \to {\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{C}}{{\text{H}}_2}{\text{C}}{{\text{H}}_2}{\text{C}}{{\text{H}}_2}{\text{N}}{{\text{H}}_2}\);</p>
<p class="p1">pentan-1-amine / 1-aminopentane / 1-pentylamine / 1-pentanamine;</p>
<p class="p1"><em>Catalyst: </em>nickel/Ni / palladium/Pd / platinum/Pt;</p>
<p class="p1"><em>Penalise missing hydrogen once only in Q.7.</em></p>
<div class="question_part_label">d.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was the least popular question in Section B. Most candidates either scored all five marks in (a) or just one.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(b) was usually well done, though it was disappointing that more candidates did not use the equilibrium sign.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (c), a significant number of candidates omitted water from the equilibrium calculations.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (c), a significant number of candidates omitted water from the equilibrium calculations.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The organic reaction mechanism in (d) (i) was very poorly presented. Many even tried drawing curly arrows from NaOH as an attacking species. The majority could identify the product of the reaction but a mechanism was far beyond them. Transition states were poor or missing completely.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (ii) although many knew that \({\text{O}}{{\text{H}}^ - }\) has a negative charge, few linked this to the greater attraction to the carbon atom.</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (iii) very few candidates did well here and the name of pentan-1-amine was rarely given. Other mistakes included incorrect catalysts. Further common mistakes included some candidates not including all the hydrogens in the structural formulas. In general for this part there was very poor knowledge of organic synthesis amongst candidates. Very few had a good “stab” at this question. The fact that pentylamine was mentioned in the question initially meant that very few candidates accessed the last mark for the name of the product.</p>
<div class="question_part_label">d.iii.</div>
</div>
<br><hr><br><div class="specification">
<p>Bonds can be formed in many ways.</p>
</div>
<div class="specification">
<p>Bonds can be formed in many ways.</p>
</div>
<div class="specification">
<p>The equilibrium for a mixture of NO<sub>2</sub> and N<sub>2</sub>O<sub>4</sub> gases is represented as:</p>
<p style="text-align: center;">2NO<sub>2</sub>(g) \( \rightleftharpoons \) N<sub>2</sub>O<sub>4</sub>(g)</p>
<p>At 100°C, the equilibrium constant, <em>K</em><sub>c</sub>, is 0.21.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Discuss the bonding in the resonance structures of ozone.</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>Deduce one resonance structure of ozone and the corresponding formal charges on each oxygen atom.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The first six ionization energies, in kJ mol<sup>–1</sup>, of an element are given below.</p>
<p style="text-align: left;"><img src="images/Schermafbeelding_2017-09-21_om_08.29.16.png" alt="M17/4/CHEMI/HP2/ENG/TZ2/04.c"></p>
<p>Explain the large increase in ionization energy from IE<sub>3</sub> to IE<sub>4</sub>.</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>At a given time, the concentration of NO<sub>2</sub>(g) and N<sub>2</sub>O<sub>4</sub>(g) were 0.52 and \(0.10{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) respectively.</p>
<p>Deduce, showing your reasoning, if the forward or the reverse reaction is favoured at this time.</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>Comment on the value of Δ<em>G</em> when the reaction quotient equals the equilibrium constant, <em>Q</em> = <em>K</em>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>lone pair on p orbital «of O atom» overlaps/delocalizes with pi electrons «from double bond»</p>
<p>both O–O bonds have equal bond length<br><em><strong>OR</strong></em><br>both O–O bonds have same/1.5 bond order<br><em><strong>OR</strong></em><br>both O–O are intermediate between O–O <em><strong>AND</strong> </em>O=O </p>
<p>both O–O bonds have equal bond energy</p>
<p> </p>
<p><em>Accept “p/pi/\(\pi \) electrons are delocalized/not localized”.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em></p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHAAAAA/CAYAAAA47kzyAAAGLElEQVR4Ae1cPyw8TxSf46fwP3GJCoVCQnISQiFEJ0FDgkJEd6VERa9Q0JBDpbiI+ugkQkcoOCdR6QiFhkQEOXKZXz6bvPvuze3u7Y49dvfmJZvZPzOzbz6fN+/NjudCnHPOlPgWgTLfaq4U1xBQBPrcEBSBikCfI+Bz9dUMVAT6HAGfq69moCLQ5wj4XH01AxWBPkfA5+r/53P9NfVDoZDjYQRlBzEQBAaFDMdWyBhTMVAGNQ+1UQR6iAwZVRSBMqh5qE3gCDw/P2cjIyOstraWYXHT2dnJVldX2dfXl4dgd0+VUJD+oLu1tcXm5+dZX18fm5ycZPX19SyZTLJ4PM46OjrY8fExq6urcw89L/QEAoMgyWSSl5eX86Wlpbzh3Nzc8HA4zGdmZvKe+f0G8/sASP/p6Wne3t7OM5kM3copY7GYRvD9/T3HERQJTAw8OTlhQ0NDrKzMeEjj4+Msk8mwo6Mj7fCC93NDh0B8yAOIx8dH1tLSYopJc3Oz9gz1giTG5urDEVZVVbF0Om2q+fv7u/YM9XCQXF9fs5eXF7r0XRkYAiORCLu6ujIl4PLyUnvW3d3NcJB0dXWxcDjM9vb22OfnJ932TxmUYL65uckrKip4KpXKGxIWNqOjo7y1tZV/f39rB1V6fn7mCwsLyI3lvb29/PT0lB75ovTlKvTj44NvbGxooD88PGhAg5jBwUHe2NjI9/f3syTd3d3xqakpbQV6cHBgSsrt7S0fGxvT+kSJaz+I7whMJBLaTMGMWV5e5iCT5O3tjc/OzmpkVVdXa99+qIeZZ0UetUd5eHiY7R8zEzPUy+IbAuEaaYYAWKsZ8vT0xEH07u4uv7i4yPs2xLOdnZ0c8vUkwShQB+TjsKqrb/cX554nEC6SYhQIdCNGgRAQg5iHGWcmmH2Y5VQXpHpNPEsgwKM4B6ABnt5d/hRIzOBoNKqRUyjmiXWNFko/1Ue2vecIJPcF0mD5ILGYcQgzmt5VKOahrt6N0wJKFnw32nmKQBEgqzjnxuCpDzIaGAwOq5hHdYn0YhsY6WhWShPopvWBKH2c+ysX5STmFdvFmxEm3ndMoH6QVgsA8UVG10YgGNX77XtOYp5ofG4sspyM1zaB5DrsuJlCCoh9wQ3hntdEjI9WXsfJZ46b47RFoDgQzBxZEfuyAkX2HW62c2psWC3/Zny0JFB0JbiWFbGvv4pzsvo7cfcgnT6B4LGK+f1oSKA+zsGafqKA2NdP46YsAW61E2OelSHCu9DiTNb4yQOY6Z9DIFXWuwDckxHqy42YKfP+YrdBKLD7TSiLIcYA4oGhmQHkEIiZhsqwGrPYdHZ2xoeHh3lNTY1WNxKJ8JWVFZ5Op7OYQWEygkIfx9lGPjwhI6Wx2lmM2cFPD4UjAuHuzIhDp/ibGzK/BgYG+Pr6Oo/H43xubo5j5x+DeH191d6NfmAMZlajVzAI5xgvxTzgYBZy7OKnx8QRgfqG4nmppu2JOFhdA2yKeXCv+skgix9cNbyivi+9DjkuVP9APC/VtD0RBzvXAB0b5ShJZPGjsEb9iGU2Jwb5IFbJPaWatieTHNPf38+2t7cZSpJi4ZclEC9Aco9Z2p2TtD2zPmgwpVgWC78sgT09PRqusVjMEF/ZtD3DzkrwZrHwyyb2NjQ0sEQiwSYmJlg0GmVtbW05MDtJ28tpqC40BIqGnz4o0vcbVlCiyKbtif2U6rUsfoUWMXmrUFq2ilteP03bK1XiaNyy+DkmEC/EEhgfpOIWkEzaHvoQ+6FBlVopg58UgfT1j9QCIymUtkdtMIthCDAIJf8QsIsfWhCG/1rnnuW5UHpM6XTYJnIqMADK+EKJayXyCFhxYEogGtHGtt1Xow0Rj5knxlG7/ah69hEwJRBdkP8tNIMQ41AXpIF0q6wu+6qpmnYQsCQQxIAUo88K6lzMBTHbdKX6pVjCqGUOO1hld2KMvrcrKyvZ2tqa0SNty21xcZHh/+sgqVRK+zmPpqYmw/qlfBM/BSZz2MFM6mdGsOmNfVMIdm/wuywgW8nvIyBFIP5ygc1v7J9iC07J3yEgReDfqaveLCJgGQPFyuraewgoAr3HiSONFIGO4PJeZUWg9zhxpNH/jl9vUfd+FtUAAAAASUVORK5CYII="></p>
<p>FC: –1 <em><strong>AND</strong> </em>+1 <em><strong>AND</strong> </em>0</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p><img src="data:image/png;base64,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"></p>
<p>FC: 0 <em><strong>AND</strong> </em>+1 <em><strong>AND</strong> </em>–1</p>
<p> </p>
<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>
<p><em>Do not accept structure that represents 1.5 bonds.</em></p>
<p><em>Do not penalize missing lone pairs if already penalized in 3(b).</em></p>
<p><em>If resonance structure is incorrect, no ECF.</em></p>
<p><em>Any one of the structures with correct formal charges for <strong>[2 max]</strong>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em><br>IE<sub>4</sub>: electron in lower/inner shell/energy level<br><em><strong>OR</strong></em><br>IE<sub>4</sub>: more stable/full electron shell</p>
<p>IE<sub>4</sub>: electron closer to nucleus<br><em><strong>OR</strong></em><br>IE<sub>4</sub>: electron more tightly held by nucleus</p>
<p>IE<sub>4</sub>: less shielding by complete inner shells</p>
<p> </p>
<p><em>Accept “increase in effective nuclear charge” for M2.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>Q</em><sub>c</sub> = \(\frac{{0.10}}{{{{0.52}^2}}}\) =» 0.37<br>reaction proceeds to the left/NO<sub>2</sub>(g) «until Q = <em>K</em><sub>c</sub>»<br><em><strong>OR</strong></em><br>reverse reaction «favoured»</p>
<p> </p>
<p><em>Do not award M2 without a calculation for M1 but remember to apply ECF.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em> = 0<br>reaction at equilibrium<br><em><strong>OR</strong></em><br>rate of forward and reverse reaction is the same<br><em><strong>OR</strong></em><br>constant macroscopic properties</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Many reactions are in a state of equilibrium.</p>
</div>
<div class="specification">
<p>The following reaction was allowed to reach equilibrium at 761 K.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + I<sub>2</sub> (g) \( \rightleftharpoons \) 2HI (g) Δ<em>H</em><sup>θ</sup> < 0</p>
</div>
<div class="specification">
<p>The pH of 0.010 mol dm<sup>–3</sup> carbonic acid, H<sub>2</sub>CO<sub>3</sub> (aq), is 4.17 at 25 °C.</p>
<p style="text-align: center;">H<sub>2</sub>CO<sub>3</sub> (aq) + H<sub>2</sub>O (l) \( \rightleftharpoons \) HCO<sub>3</sub><sup>–</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq).</p>
</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">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The following equilibrium concentrations in mol dm<sup>–3</sup> were obtained at 761 K.</p>
<p style="text-align: center;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfcAAAA5CAYAAAAr4GJXAAAV4ElEQVR4Ae2dD3BURZ7HvzMiKheCS4nHG9g1R7LAXgULTQqvlDrzRxM99JYCxT01EypWLdyCcubCZEmB5bksChOTZQ939a6STYi6p9bkVM7aTXRCvGVvi9zkjhP3YHIjFTGZoQoqmkxECGT66v1Nz8x7k8nMJOTN/FKVev1e9/u97k//5vfr192v28IYY6A/IkAEiAARIAJEIG0IWNOmJFQQIkAEiAARIAJEQCJAzp0UgQgQASJABIhAmhEg555mFUrFIQJEgAgQASIwh0dgsVj4UwoTASJABIgAESACJiAQOX0uzLmLkaKDj0xkgnJRFtOUAOljmlasiYtFOmniykvDrBvpI3XLp2FlU5GIABEgAkQgswmQc8/s+qfSEwEiQASIQBoSIOeehpVKRSICRIAIEIHMJkDOPbPrn0pPBIgAESACaUggA537VQTat0oTB8WJCOJ/Xn0vrmIUvfXF3Dlf29w9le0I8FExwyGM9jai2GJDefNphGKm5SMvoa95EyyWh1Df+5USMZE/Od95qGz/gr+JwkSACBABIkAEJAIZ6NxnsOZDfXi7zoluYTNqH1mO+GHfiOWPbIVD+AA769rRF3+rYAYLR49KPQGuEak1PH+H40qjU22MTr1xl8pGJnC1tx55Sv6kvEypwZt6aiQxxQQC7ajk6zevHr1XuXpXzsOeqt2zFe2Bq9E6osrT1ZUE9TN0Gs3lNliKG9E7qhpJeglS6yV+f6PekU5Huwt+xuCrKUDYN4EpKWMII92HsbszAKHiPhRmTxF19u0orygAOn+Bpu4LALJQUHMUjJ2Fy56bkhySEDMQmCfX+7AbDkHJb1EDPME+tG74dnwFoEZmfJwoVcoIzCmogY+dh9tRoMhcB6fnS7DWDVDVWHtYovppXY5HajdD6Hai7u2+KfSMak9O68AUPU5as0hx4Ybg6ehEALm4/67vIluTHsJoXwfqK1fJQwPFtWjt7UNP1JDAzfjeXYUAetHW8QlGtPspkBEEIhue8xZg0Tyl5N+5DbaseH+6qW5kArLhvgK/a0tGVEXmFnILXP4rYL4aFCT09nMjFiyar+BbimW2LB2UyeinFdmF96FCCKBz92F0j4hv7/QSpEKO10Ko6ekYL4GRT9DR1gvgTtybv0i7KzT4LnYUPYCdhz+Vr3UfwOaHa/HKf4tv5/zfHPxp/hqUAQi0fQSPpLh8PIWJQDwEqJEZDyVKc60IJKmf2d/FXffnAoFOdHiGrlUhZuVzybnrVMtnOwtxvTpGJB2vh23jazopjS+FzvXjhDjzTshDzuK5SsJL8HX8C5rF60XPw+2/DMYuw//6apx9U3H2nEjr4hysFvuwAj70nxvjYihIBOIkQI3MOEFRsmtCIGn9XIT8e++kHk6dyiPnrgMlFZdCwSF8JgqatxAL5imYQ/049tYx0eOjrOIxFAmi058LoWQb9mhjU9zTta7Y8xgKXuUiKEgE4iNAjcz4OFGqKRD4bCcKr5e/NNImedo24vAURKhJk9fPuVickyeN4wdO9OOcOq9OfUAGH8m561R+rtODK4xJa+yL6+wzNtXxxas4/7lPdu68/NDXGPpMfG23YXXOLdzseX5sir+BwkQgOQLUyEyOH909vQSS108r5i1YCGk6ymdDCJJz1yqMnLuGIpWBOVh0Wx6i5rRb/wQLc8V+dj9O9F/gZndewvD5YCozQLKIAABqZJIaTAOBXCc8V/iXHwbmd8E+5UeRfk4Z2RRuIOc+BVhTSWqdv1B27heHMHxRaU5ac7D2sbXiIDo6295Cd0AcRx9DoOsV/OSAOPku4u/iMM5fFK8twsL5CU1XjRBIp5lFgBqZmVXfZist6ed01hg59wTphgK/R6P6OZulHLXtpzHKydKfDHcj8sp/gCrx5b37eZTaboDFcgNsT57Adx7P5+6Wg/rjUVHJ6EImEwgF0NNYCZs08dOG4tp29GkLegDUyMxk5Zj9ZU9eP0O4ODwE6R0odyHmk0fTKp1QaCimEriA7p/tQPWHD8M9/DW8TQtwYOPP0BngJr2pi9DgDLwDE27fumQ9Dnb/Fk677MwFewM6uw/hmTtuichACKMDPpwUp98lsghOhDQ6NTkBrRcHwNnP4ZccuPiN8D9iffUfUeE+j3HvXsw94MBPOwe1wlIjU0NBgRknwA83DuCMf8IOqllJXj/HcK7fJy0JLqzOwWLyaCpabk6XdilTA+riB3or1s2BsOFVeYKdtMLSLSjZ7wHz70NJ9hiCQ1K7MQLcQhSWl0EIW4RGXBqxFPNXPICdH94L18Bl+Fufxf22QRz9wAsgF/csu1VZLU/9/rMAFeW3c4vgRDyGTtOcgLKc5oJSHFA3NeiuRuH85ahsH0R2yT74mQf7SxbiYnAYUR9MUiMzzfVjdhZPXqJ4EUq14cYPsLPwW7BELj+btH6OYsB7BgDZyShNYBF/gOjD0vnvCvO7tjCxnOp/rtPDriRU5MvM736eFQFMcLjZcKSM4HHmLBIYhF3MPTzOGBtnQU+DlF59dthR2MZcA5dlKcNu5hDAUNbEvOKtLMg8ziItz0Aus7vORj4x7c5FPpnzx+mm3cX8Uyj4uL+T7QrTNfXmcTbs3sWEMB3ldInXOVVfw3TrPHM7ChhQwBzu86pQxljieeWEmDKY9jrpdzG7ZB+3MJc/McsYf8UmqZ+qndRsrPrks8xlz2WZYCeN9DHKcholVJGZ/8gZJcXBJ+bcOcdub2GngpIHjsCjKi5vGC8zv8fFnPZ8zlELrMjRxNxetXlwmQ24tjEhzKByBlnKNzn3CNhpcJqYbk449irWdErVIQ6H6rQ1A5hMI5OxKx4ny+Uax5hiQ4TLmSmDaW8jNeeuvADlOplnOn18wvqp2leBlTWdYrIFzjw7aaSPGejcU2FPJoyjYOjYU/EckmGkuOlJJgHnrhlGA8cugVKNYCoameTc014nZ9q5swT1c7yfuaryuZ5RUdnJuau20SIG+L56ccWhiEt8NIUlAhfQVfsAN54kXhQ3WTiEDQJ9spZKJSF9jEUzhJGu3VhZ+qI0oUhOmQu762j8O8bFEk9xugRIJ3Wx0MVrRMBIH8m5X6MKocfGR8BIceO7m1IRgdQTIJ1MPVOSmDgBI30Mc+5iIvojAkSACBABIkAEzEUgssc9rA9ZjDRqBZirmJTbdCFA+pguNZk+5SCdTJ+6TIeSGOkjffKfDrVLZSACRIAIEAEiwBEg587BoCARIAJEgAgQgXQgQM49HWqRykAEiAARIAJEgCNAzp2DkQnB0GA7nrIVo743ep3nTCg/lXG2EAhhtK8dtcU2WCzRG97MllxSPjKIwCSbMJmNBDl3s9VYMvkd7UHDk9vRrK5RnowsupcIJEMg1Ie3n96HC0//AePjf8DTF14O2/AmGdF0LxFIhEDI9xvseX81jgTHwYLvYl3Py2jqGUpE1Ky4h5z7rKiGVGVC2WRE2v7TIn35IM6ktFiKUf+f/4v2HfUY+vHP8WJuqp5HcohAbALyBiK8LsrhvIavYe/woGnDbbBeDOKrq1lYfPNNsYVRLBFImoCxjWwIbkLH0WdRkGUFspbhzjXfSvpp11KAqZ17KNCD1tpyxYmJXXtt6A1E7YvF8RVXlivknF6k0SlEbdcFOf1oH7qaa1GsOcpVqKzvCNsrmxOc4mAIo72NKLbVoWskFC47FEBvK5+vctQ2/5tS7omd7cTPGif+/xXFH/8U793zHOpK/0zZdS5cLJ2lgMCUdUZcYa5O2Ys9Uhflc1ttF0akrI2gr6tZ6cZW4iob8WGfHJuC3McWMdqD+uJ7Jn4fWuoxBHrbuHyJv8N/xnu9AYiaO6egBr4wXZT10ldTIOmh5Pznr8JTZ+9G+feyNakUSDWBGDZF51HhttUCS3Etmt/rRSDCHE3cOobB9u2w6dmsiUQpDMUoT0I28ihqCrKU/I0h0PUK9l+owjNFkVtxp7AI0y1KXYdWPZpm3WRpTe0CVuXqVzYMUDZbKWpgHt1NXNQS6hwlWbmsyHmcBcVoZc1iwX6IHffLu7SN+4+xBns+E6pcbEBvjxgdsYldGmfBU28wR1lBxJrJojS1jA7W4vFL5dbypbcrnZqByLWiZ2zHJzUDiR9No48p1Zkvmce5jkHTZaXeBTtrOC7XOxv3s+MNdibwu7oljjn2ncGTrMWxnt0dtpGRfMv4gItVCWXM0XKc+cXfhZYvdSfE2KLlWKV8JtmAxjQ6qaGPZVO0RBMBSZcLWJHjMPNI9u8y8x8/xOwCvzfBRHIxJOsBdGxWeLrUnMUqT4I2UsuYvCFYmYn2DDHSR5NuHKNsNKDtcqXUjLT9n7ECavUXFog0pIyNe5tYmZ4hM7geJi6Zk3E/87TsYnbnUeZpejT6hzJ+ijWV5XI7IMkPk/IbycIoH1c8zJlbxJweqRljlGrWXDdS3FmTQSUjqdMZdVOidczp+VKWLtW7EL2tsNH1lMERdzA8zBz2g+y45590fhPfMK+op9q2xCoMUU/vjtgiNiJTUt4fZ03eb6StkMVtaXNjNVAjbr+Wp2bRSYnRZDZFB6Ssy48qdaMmkOtaf2vrk6zJfjcrKtJ7IVHvT9FxsvIkYyODp5jL8SizNxyTG6opyvJ0izHSR1N3y+v3avhxov+C1CWoH89fFbt2foWanefg2FMhj7UAsC6vQgfzYH+JXpfMVOTzz5osfAl9LTWo8Rbjpeq/wHy95KN+eE/ejNU5t4CvOOviHKxGJzo85p38oVdcM11Lmc6MevBqjRNeRzV+WHCzjMC6ElUdfvj3l0Cv4zpwoh/nDLtLE6cY6nsdm2vOoPylrSicf52OoFEMeM9AWJ2DxWEKeQtyVl9GW8cnypCCzq3W5dh0sAwfF90Ei+U6rGxdgjf/bq1u+XTupktxEYjDpkTJCWF0wIeTQh5yFs/lYudicU4e0PYRPGFDhV+h99UfY/ecrah7fBmXfjqCcZQnYRsZwkjPYWw/8A4OV6+F7Tpx6CsPle1fTEdBZkQm/5OckQem5iFWZK9Zj+oVnXjjoy8URz6GgOd36FmxE/s2LQ9zfobPDH2Bzl80w1tVN4WxlbV4bG2Ogfwv0P7UdjSfjhwHFcdw/gHl2vipXo7mwvZgI47sux+CQa2EzvXjhOFM9zgbHXMKUOPjx5f08kLXUksgls7wTxrDYOdhNHg34NAz8Tq6eSh77G7k6erMVQTa/x6VzZ8i8sPHUOBD1JU/Fz2ng8uO1fYQWo7sQYnAG3kuQegC+k/4uQvhwdiNDiuyVlai1S+Pwftbt2GN0XPCxdJZ3AQmtynRosZwrt/H7TIYkSLgQ/85dV6T8nLUkINDL3wft+m1/yJuB2arjbQiu2Qf/GHzQ3ym3l1R1yRE1cdsvJC1BtWv/QgDG3NwnTTp7QbYSv+Iitf+VnsDnyzbIZ8brzXfgIon/hJLJiMR+hzv7m/EyaofoDzvRgPR38b6vd+Hb4eDc/DiD+AVbG7NwcE9RTHeTKzIEm6FOqUj+gFKizo6gq7MVgJx6QyX+dAZdLzWDlRswH1LDByqlnwMg+8ewu6TD2BL+TKDxuYcCOurUel7Adt4By9+ErnZhbyDNSjJjqH4WbdCEGcOG/1Jb0mGrU2ju+j6jBGYzKboZUTujdGLibom9TL9O9Yd2YsNk+qrejfZSJXEdB9j/HKn+9HJyJdnSpYW/R6PnRpWZoWPI3hqHT7+q22cY431jEvwHfstOouewKY1C2MlBDCC0y0vYPuZR/D63odiNgSswv3Y27IRvh3PoX3wEkZPt2Fb3QhqX/obrIxlKCfJAUWbjUD8OqOWLOT7D7zVeSeqN90ZoxEopg5h9PSvUbf9/7D59V1YH8uwWpegZG+j5OB3tH+O0OinaN5Wj6HaPdi8Uq+TX80NHYlADAKhz9G+40f4YN0ubFWHj2Ik56PIRvI0pi9sUuc+hJ6334C34gk8ohkosZtvHSo3/g92/8pjPNansgz149hb/4WyigdxR0ynO4LTzc+iZDew95fPGndRqnLFMXuhFHUH78B7Tz6Ih3f0o7JlV1z3cSJ0glZkLc3DKp0YujTbCExdZwClsVm2AX99hzLWrlss0bG3YVtJPbD3ZdSVLDF4a+duFh183XO4570fovThPfBVNmJvPPdxInSDWTasWCXoRtFFsxLIwtIVk42di71GTmw/8wTqtxbG6G00ZkA20phNqmLM6dxHPkFHW68OA1kxA1GTPqKTym9J0ZPTwlJKyxE+LTv2rkZUaQ2JsFQzdiJNnDO0pbaoiXYzljF60ASBRHVGamwei56cNiEZwBgCPb9UHPuv8UpVfkKGNUxkMidWceKczVBC1EQ7w5QUMXsIyBPnDM2MONFu0YA0fBTorpYmWsoLZd2EFU+9AwReROmCpShvPh3npObUlpxs5ARPczr37NtRXlEwUQotpMzerbgPhbHGEtW3JKEM5YX6XfLShKPSAtz1/hIc6p6aYw8Nvosd4hv7m7/BkYM5aN38IrpiLq6jFSB2QHpT+irqawB5ot0yrFhqPGIfWzDFpoJAUjojdcnbUFF+u36XfGgQXXUPw3bX+1h86J2pOXapC/UF+Cqb4T7yE+S1PovdXYMpML5KYzpytr400e4rrFphu7aNj1RUasbJUHoIwybOiRCUiXar8rB0wZ9LX29MLJIlTor8Bt6mRwFhF9zDA+ioWhmzR4ls5AwoVuQ3eEbfzEWmu7bn4iIGLcxe5mBNbq+88AxTrgnc98GGmTzP3I6C6O9z1fTSojYCQwILhIz7O9musi2s6dSwIk3OV1VVCzsV9+I6yvfDUd+uq4uZVGny41rERi2XCY/m0EfGWBI6w5iybgMivy1WK0xZiwH53KJNatwkx/EB5t71KLM3nVR+J2JeT7Kmqh2aDk0iQYo2/I5fWsQmf0J+QovYxJOD2ZPGNDoZhszIpoQlkk+0BZlUmzX5IjaMxS+fbKQO8yQuGemjSRexEUmMs6DXzZocZUwsnPgv2BtYp1d1qmIScTEN0UlHrpYVy7krSqrIVGXzR92FHKTKOctcVdt0jKay6lHci3TE+KEEvczd5GBFWv7ymd3pUlaSSkJDZumtIvfZ/xe/zshOEhEL0sR27uo9vA6GhaP0WyV2hfld1ROOV70s/jSkRuge5h6Ob7lFI+fO2DDzupuYo0jgfodO5lJWUOQemTZBc+hkJG4jm6LqLr/4V7RthWBnTpcnxuIuRvIj80E2MpJIsudG+mgRBfMdBOL4ScQlPprCRGBGCZA+zihuelgcBEgn44BESWaMgJE+mnPMfcaw0YOIABEgAkSACJiPADl389UZ5ZgIEAEiQASIQEwC5Nxj4qFIIkAEiAARIALmI0DO3Xx1RjkmAkSACBABIhCTQNiEOnFgnv6IABEgAkSACBABcxGInAg/h89+ZCQfR2EiQASIABEgAkTAHASoW94c9US5JAJEgAgQASIQNwFy7nGjooREgAgQASJABMxB4P8BizlLMXYLpsQAAAAASUVORK5CYII="></p>
<p>Calculate the value of the equilibrium constant at 761 K.</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>Determine the value of Δ<em>G</em><sup>θ</sup>, in kJ, for the above reaction at 761 K using section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate [H<sub>3</sub>O<sup>+</sup>] in the solution and the dissociation constant, <em>K</em><sub>a</sub> , of the acid at 25 °C.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate <em>K</em><sub>b</sub> for HCO<sub>3</sub><sup>–</sup> acting as a base.</p>
<div class="marks">[1]</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><em>K</em><sub>c</sub> = \(\frac{{{{{\text{[HI]}}}^{\text{2}}}}}{{{\text{[}}{{\text{H}}_{\text{2}}}{\text{][}}{{\text{I}}_{\text{2}}}{\text{]}}}}\)</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>45.6</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em><sup>θ</sup> = «– <em>RT</em> ln <em>K</em> = – (0.00831 kJ K<sup>−1</sup> mol<sup>−1</sup> x 761 K x ln 45.6) =» – 24.2 «kJ»</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>[H<sub>3</sub>O<sup>+</sup>] = 6.76 x 10<sup>–5</sup> «mol dm<sup>–3</sup>»</p>
<p><em>K</em><sub>a</sub> = \(\frac{{{{\left( {6.76 \times {{10}^{ - 5}}} \right)}^2}}}{{\left( {0.010 - 6.76 \times {{10}^{ - 5}}} \right)}}/\frac{{{{\left( {6.76 \times {{10}^{ - 5}}} \right)}^2}}}{{0.010}}\)</p>
<p>4.6 x 10<sup>–7</sup></p>
<p><em>Accept 4.57 x 10<sup>–7</sup></em></p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«\(\frac{{1.00 \times {{10}^{ - 14}}}}{{4.6 \times {{10}^{ - 7}}}}\) =» 2.17 x 10<sup>–8</sup></p>
<p><em><strong>OR</strong></em></p>
<p>«\(\frac{{1.00 \times {{10}^{ - 14}}}}{{4.57 \times {{10}^{ - 7}}}}\) =» 2.19 x 10<sup>–8</sup></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.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">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>When nitrogen gas and hydrogen gas are allowed to react in a closed container the following equilibrium is established.</p>
<p>\[{{\text{N}}_{\text{2}}}{\text{(g)}} + {\text{3}}{{\text{H}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{2N}}{{\text{H}}_{\text{3}}}{\text{(g) }}\Delta H = -92.6{\text{ kJ}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Outline <strong>two </strong>characteristics of a reversible reaction in a state of dynamic equilibrium.</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 class="p1">Predict, with a reason, how each of the following changes affects the position of equilibrium.</p>
<p class="p1"> </p>
<p class="p1">The volume of the container is increased.</p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1">Ammonia is removed from the equilibrium mixture.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>activation energy</em>, \({E_{\text{a}}}\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Ammonia is manufactured by the Haber process in which iron is used as a catalyst.</p>
<p class="p1">Explain the effect of a catalyst on the rate of reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Typical conditions used in the Haber process are 500 °C and 200 atm, resulting in approximately 15% yield of ammonia.</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>Explain why a temperature lower than 500 °C is <strong>not </strong>used.</p>
<p class="p2"> </p>
<p class="p2"> </p>
<p class="p2"> </p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Outline why a pressure higher than 200 atm is <strong>not </strong>often used.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the equilibrium constant expression, \({K_{\text{c}}}\), for the reaction on page 10.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">When 1.00 mol of nitrogen and 3.00 mol of hydrogen were allowed to reach equilibrium in a \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) container at a temperature of 500 °C and a pressure of 1000 atm, the equilibrium mixture contained 1.46 mol of ammonia.</p>
<p class="p1">Calculate the value of \({K_{\text{c}}}\) at 500 °C.</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 class="p1">Define the term <em>base </em>according to the Lewis theory.</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 class="p1">Define the term <em>weak base </em>according to the Brønsted–Lowry theory.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the formulas of conjugate acid-base pairs in the reaction below.</p>
<p class="p1">\[{\text{C}}{{\text{H}}_{\text{3}}}{\text{N}}{{\text{H}}_{\text{2}}}{\text{(aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}} \rightleftharpoons {\text{C}}{{\text{H}}_{\text{3}}}{\text{NH}}_{\text{3}}^ + {\text{(aq)}} + {\text{O}}{{\text{H}}^ - }{\text{(aq)}}\]</p>
<p class="p1"><img src="images/Schermafbeelding_2016-08-07_om_09.03.51.png" alt="M15/4/CHEMI/HP2/ENG/TZ2/07.e.iii"></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the pH of a \({\text{0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) solution of ammonia, \({\text{N}}{{\text{H}}_{\text{3}}}{\text{(aq)}}\), using tables 2 and 15 of the data booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Sketch the pH titration curve obtained when \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{N}}{{\text{H}}_{\text{3}}}{\text{(aq)}}\) is added to \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{HCl (aq)}}\).</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-08-07_om_09.34.43.png" alt></p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Identify an indicator from table 16 of the data booklet that could be used for this titration.</p>
<div class="marks">[4]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">rates of forward <span class="s1"><strong>and </strong></span>reverse reactions are equal / opposing changes occur at equal rates;</p>
<p class="p1">the concentrations of all reactants <span class="s1"><strong>and </strong></span>products remain constant / macroscopic properties remain constant;</p>
<p class="p1">closed/isolated system;</p>
<p class="p1"><em>Accept “the same” for “equal” in M1 and for “constant” in M2.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>The volume of the container is increased:</em></p>
<p class="p1">position of equilibrium shifts to the left/reactants <strong>and </strong>fewer moles of gas on the right hand side/pressure decreases / <em>OWTTE</em>;</p>
<p class="p1"><em>Ammonia is removed from the equilibrium mixture:</em></p>
<p class="p1">position of equilibrium shifts to the right/products <strong>and </strong>\({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) decreases so \({\text{[}}{{\text{N}}_{\text{2}}}{\text{]}}\) and \({\text{[}}{{\text{H}}_{\text{2}}}{\text{]}}\) must also decrease to keep <em>K</em><sub><span class="s1">c </span></sub>constant</p>
<p class="p1"><strong>OR</strong></p>
<p class="p1">position of equilibrium shifts to the right/products <strong>and </strong>rate of reverse reaction decreases / <em>OWTTE</em>;</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>if both predicted changes are correct.</em></p>
<p class="p1"><em>Do not accept “to increase </em>\([N{H_3}]\)<em>” or reference to LCP without explanation.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span style="text-decoration: underline;">minimum</span> energy needed (by reactants/colliding particles) to react/start/initiate a reaction;</p>
<p class="p1"><em>Accept “energy difference between reactants and transition state”.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">more effective/successful collisions per unit time / greater proportion of collisions effective;</p>
<p class="p1">alternative pathway <span class="s1"><strong>and </strong></span>a lower activation energy</p>
<p class="p2"><strong><em>OR</em></strong></p>
<p class="p1">lowers activation energy so that more particles have enough energy to react;</p>
<p class="p1"><em>Do not accept just “lowers/reduces the activation energy”.</em></p>
<p class="p1"><em>Accept “provides a surface for reacting/reactants/reaction”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>slower rate / <em>OWTTE</em>;</p>
<p class="p1">uneconomic / <em>OWTTE</em>;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>high cost for building/maintaining plant / high energy cost of compressor / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not accept “high pressure is expensive” without justification.</em></p>
<p class="p1"><em>Accept high pressure requires high energy.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(({K_{\text{c}}} = )\frac{{{{{\text{[N}}{{\text{H}}_3}{\text{(g)]}}}^2}}}{{{\text{[}}{{\text{N}}_2}{\text{(g)]}} \times {{{\text{[}}{{\text{H}}_2}{\text{(g)]}}}^3}}}\);</p>
<p class="p1"><em>Ignore state symbols.</em></p>
<p class="p1"><em>Concentrations must be represented by square brackets.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">moles at equilibrium: nitrogen 0.27, hydrogen 0.81 / concentrations at equilibrium: nitrogen \({\text{0.27 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\), hydrogen \({\text{0.81 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) (and ammonia \({\text{1.46 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\));</p>
<p class="p1">\({K_{\text{c}}} = 15\);</p>
<p class="p1"><em>Actual calculation gives </em>\({K_{\text{c}}}{\text{ = }}14{\text{.}}86\)<em>.</em></p>
<p class="p1"><em>Award </em><span class="s1"><strong><em>[2] </em></strong></span><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><span class="s1"><strong><em>[1 max] </em></strong></span><em>if </em>\({K_{\text{c}}}\left( { = \frac{{{{1.46}^2}}}{{{3^3} \times 1}}} \right) = 0.079\)</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">electron pair donor;</p>
<p class="p1"><em>Accept lone pair donor.</em></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">proton acceptor <span class="s1"><strong>and </strong></span>partially/slightly ionized;</p>
<p class="p1"><em>Accept “proton acceptor </em><span class="s1"><strong><em>and </em></strong></span><em>partially/slightly dissociated”.</em></p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-08-07_om_09.05.17.png" alt="M15/4/CHEMI/HP2/ENG/TZ2/07.e.iii/M"></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for two correct acids OR two correct conjugate bases.</em></p>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({K_{\text{b}}} = \frac{{{\text{[NH}}_4^ + {\text{][O}}{{\text{H}}^ - }{\text{]}}}}{{{\text{[N}}{{\text{H}}_3}{\text{]}}}} = 1.8 \times {10^{ - 5}}/{10^{ - 4.75}}\);</p>
<p>\({\text{[NH}}_4^ + {\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\) <strong>and</strong> \({\text{[N}}{{\text{H}}_3}{\text{]}} \approx 1.00 \times {10^{ - 1}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{[O}}{{\text{H}}^ - }{\text{]}} = (\sqrt {1.8 \times {{10}^{ - 6}}} = )1.3 \times {10^{ - 3}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}/{\text{pOH}} = 2.89\);</p>
<p>\({\text{pH}} = (14.0 - 2.89 = )11.1\);</p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <img src="images/Schermafbeelding_2016-08-07_om_09.39.54.png" alt="M15/4/CHEMI/HP2/ENG/TZ2/07.g/M"></p>
<p class="p1"><em>For volume </em>\( = 0:{\text{ pH}} = 1\);</p>
<p class="p1"><span style="text-decoration: underline;"><span class="s1">vertical</span></span> jump should be positioned in volume range \({\text{24 c}}{{\text{m}}^{\text{3}}}\) to \({\text{26 c}}{{\text{m}}^{\text{3}}}\) and include pH range between 3 to 6;</p>
<p class="p1"><em>For volume = 50: </em>pH between 8 to 11;</p>
<p class="p1">(ii) methyl orange / bromophenol blue / bromocresol green / methyl red;</p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">e.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to give two characteristics of a dynamic equilibrium and explain the effect of changes in volume on the position of equilibrium but many had difficulty giving a complete explanation of the equilibrium shift resulting from the removal of ammonia. Candidates were expected to include a reference to the value of \({K_{\text{c}}}\) or the reduced rate of the reverse reaction when justifying their answer. The definition of activation energy was well known but some lost a mark in their explanation of catalyst action as they did not refer to an alternative pathway in their explanation for the lower activation energy. The explanation of why lower temperatures were not used in the Haber process was also incomplete with many not considering the economic disadvantages of a slow reaction rate. Similarly many did not explain why high pressure was expensive in terms of energy or building costs. Most were able to deduce the equilibrium constant but many lost a mark in the calculation of \({K_{\text{c}}}\) as they used the initial concentrations of nitrogen and hydrogen. Some teachers identified an inconsistency in the question in that the total number of moles of gas under the conditions stated in the question was not consistent with the ideal gas equation however this did not appear to be a problem for the candidates. (However, the ideal gas law cannot be applied here as under these conditions ammonia would be in its supercritical state.) Most candidates were able to define Lewis bases but the definition of weak Brønsted-Lowry bases proved to be more problematic as many did not refer to partial ionisation in their response. Most students were able to identify the conjugate acid-base pairs. The calculation of the pH of an ammonia solution proved to be challenging with many confusing \({K_{\text{a}}}\) and \({K_{\text{b}}}\). Others did not recognize that since it is a weak base, \({\text{[N}}{{\text{H}}_{\text{3}}}{\text{]}}\) at equilibrium is approximately equal to starting concentration \({\text{(0.100 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\) or that \({\text{[NH}}{{\text{4}}^ + }{\text{]}} = {\text{[O}}{{\text{H}}^ - }{\text{]}}\). (The examination paper was rescaled for candidates sitting the examination in Spanish (due to the error in the question) and candidates close to a boundary given particular attention.) Only the strongest candidates were able to gain full marks for the pH curve although many recognised that the pH would be 1 before any ammonia was added given that HC<span class="s1">l </span>is a strong acid. A significant number had the final pH above 11 and did not allow for dilution of the \({\text{0.1 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution. Many correctly identified a possible indicator.</p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The Haber process enables the large-scale production of ammonia needed to make fertilizers.</p>
</div>
<div class="specification">
<p class="p1">The equation for the Haber process is given below.</p>
<p class="p2">\[{{\text{N}}_2}({\text{g)}} + 3{{\text{H}}_2}({\text{g)}} \rightleftharpoons {\text{2N}}{{\text{H}}_3}({\text{g)}}\]</p>
<p class="p1">The percentage of ammonia in the equilibrium mixture varies with temperature.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-25_om_14.22.46.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/06.a"></p>
</div>
<div class="specification">
<p class="p1">Ammonia can be converted into nitric acid, \({\text{HN}}{{\text{O}}_{\text{3}}}{\text{(aq)}}\), and hydrocyanic acid, HCN(aq). The \({\text{p}}{K_{\text{a}}}\) of hydrocyanic acid is 9.21.</p>
</div>
<div class="specification">
<p class="p1">A student decided to investigate the reactions of the two acids with separate samples of \({\text{0.20 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sodium hydroxide solution.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Use the graph to deduce whether the forward reaction is exothermic or endothermic and explain your choice.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>State and explain the effect of increasing the pressure on the yield of ammonia.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Deduce the equilibrium constant expression, \({K_{\text{c}}}\), for the reaction.</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>A mixture of 1.00 mol \({{\text{N}}_{\text{2}}}\) and 3.00 mol \({{\text{H}}_{\text{2}}}\) was placed in a \({\text{1.0 d}}{{\text{m}}^{\text{3}}}\) flask at <span class="s2">400 °C</span>. When the system was allowed to reach equilibrium, the concentration of was found to be \({\text{0.062 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\). Determine the equilibrium constant, \({K_{\text{c}}}\), of the reaction at this temperature.</p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>Iron is used as a catalyst in the Haber process. State the effect of a catalyst on the value of \({K_{\text{c}}}\).</p>
<div class="marks">[9]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Distinguish between the terms <em>strong </em>and <em>weak acid </em>and state the equations used to show the dissociation of each acid in aqueous solution.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Deduce the expression for the ionization constant, \({K_{\text{a}}}\), of hydrocyanic acid and calculate its value from the \({\text{p}}{K_{\text{a}}}\) value given.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Use your answer from part (b) (ii) to calculate the \({\text{[}}{{\text{H}}^ + }{\text{]}}\) and the pH of an aqueous solution of hydrocyanic acid of concentration \({\text{0.108 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\). State <strong>one </strong>assumption made in arriving at your answer.</p>
<div class="marks">[9]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">A small piece of magnesium ribbon is added to solutions of nitric and hydrocyanic acid of the same concentration at the same temperature. Describe <strong>two </strong>observations that would allow you to distinguish between the two acids.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Calculate the volume of the sodium hydroxide solution required to react exactly with a \({\text{15.0 c}}{{\text{m}}^{\text{3}}}\) solution of \({\text{0.10 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) nitric acid.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>The following hypothesis was suggested by the student: “Since hydrocyanic acid is a weak acid it will react with a smaller volume of the \({\text{0.20 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sodium hydroxide solution.” Comment on whether or not this is a valid hypothesis.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Use Table 16 of the Data Booklet to identify a suitable indicator for the titration of sodium hydroxide and hydrocyanic acid.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>exothermic;</p>
<p class="p1"><em>Accept either of the following for the second mark.</em></p>
<p class="p1">increasing temperature favours endothermic/reverse reaction;</p>
<p class="p1">as yield decreases with increasing temperature;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>yield increases / equilibrium moves to the right / more ammonia;</p>
<p class="p1">increase in pressure favours the reaction which has fewer moles of <span style="text-decoration: underline;">gaseous</span> products;</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\({K_{\text{c}}} = \frac{{{{{\text{[N}}{{\text{H}}_3}{\text{]}}}^2}}}{{{\text{[}}{{\text{N}}_2}{\text{][}}{{\text{H}}_2}{{\text{]}}^3}}}\);</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>\({\text{[}}{{\text{N}}_2}{\text{]}}\): (at equilibrium \( = 1.00 - 0.031 = \)) \({\text{0.969 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\({\text{[}}{{\text{H}}_2}{\text{]}}\): (at equilibrium \( = 3.00 - 3(0.031) = \)) \({\text{2.91 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\({K_{\text{c}}}{\text{ }}\left( { = \frac{{{{{\text{(0.062)}}}^2}}}{{{\text{(0.969) (2.91}}{{\text{)}}^3}}}} \right) = {\text{1.6(1)}} \times {\text{1}}{{\text{0}}^{ - 4}}\);</p>
<p class="p1"><em>Ignore units.</em></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for K<sub>c</sub> = 1.4 </em>\( \times \)<em> 10<sup>–4</sup></em></p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>no effect;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) strong acid completely dissociated/ionized <strong>and </strong>weak acid partially dissociated/ionized;</p>
<p>\({\text{HN}}{{\text{O}}_3}{\text{(aq)}} \to {{\text{H}}^ + }{\text{(aq)}} + {\text{NO}}_3^ - {\text{(aq)}}\);</p>
<p>\({\text{HCN(aq)}} \rightleftharpoons {{\text{H}}^ + }{\text{(aq)}} + {\text{C}}{{\text{N}}^ - }{\text{(aq)}}\);</p>
<p><em>Insist on both arrows as shown.</em></p>
<p><em>State symbols not needed.</em></p>
<p><em>Accept H</em><em><sub>2</sub></em><em>O and H</em><em><sub>3</sub></em><em>O</em><em><sup>+</sup></em><em>.</em></p>
<p>(ii) \({K_{\text{a}}} = \frac{{{\text{[}}{{\text{H}}^ + }{\text{][C}}{{\text{N}}^ - }{\text{]}}}}{{{\text{[HCN]}}}}\);</p>
<p><em>Allow H</em><em><sub>3</sub></em><em>O</em><em><sup>+</sup></em> <em>instead of H</em><em><sup>+</sup></em><em>.</em></p>
<p>\({K_{\text{a}}} = {10^{ - 9.21}} = 6.17 \times {10^{ - 10}}\);</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>\({[{{\text{H}}^ + }] = \sqrt {{K_{\text{a}}}[{\text{HCN}}]} /\sqrt {(6.17 \times {{10}^{ - 10}} \times 0.108)} }\);</p>
<p class="p1">\({ = 8.16 \times {{10}^{ - 6}}}\);</p>
<p><em>Allow in the range 8.13 </em>\( \times \)<em> 10</em><em><sup>–6</sup></em><em> to 8.16 </em>\( \times \)<em> 10</em><em><sup>–6</sup></em><em>.</em></p>
<p>\({\text{pH}} = 5.09\);</p>
<p><strong>OR</strong></p>
<p class="p1">\({{\text{pH}} = \frac{1}{2}{\text{(p}}{K_{\text{a}}} - {\text{log}}[{\text{HCN}}])/\frac{1}{2}(9.21 - \log \,0.108)}\);</p>
<p class="p1">\({ = 5.09}\);</p>
<p>\({\text{[}}{{\text{H}}^ + }{\text{]}} = {10^{ - 5.09}} = 8.16 \times {10^{ - 6}}\);</p>
<p><em>Allow in the range 8.13 </em>\( \times \)<em> </em><em>10<em><sup>–6</sup></em> </em><em>to 8.16 </em>\( \times \)<em> 10</em><em><sup>–6</sup></em><em>.</em></p>
<p><em>If expression for [H</em><em><sup>+</sup></em><em>] missing but both answers correct, award </em><strong><em>[3]</em></strong><em>, if one answer</em></p>
<p><em>correct, award </em><strong><em>[2]</em></strong><em>.</em></p>
<p>assume \({\text{[}}{{\text{H}}^ + }{\text{]}} \ll 0.108\) / negligible dissociation;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>With </em><em>HNO<sub>3</sub></em>:</p>
<p class="p1">faster rate of bubble/hydrogen/gas production;</p>
<p class="p1">faster rate of magnesium dissolving;</p>
<p class="p1">higher temperature change;</p>
<p class="p1"><em>Accept opposite argument for HCN</em>.</p>
<p class="p1"><em>Reference to specific observations needed.</em></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>if 2 observations given but acid is not identified.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) (nitric acid) 7.5 cm<sup><span class="s1">3</span></sup>;</p>
<p class="p1">(ii) not valid as hydrocyanic acid reacts with same volume/ 7.5 cm<sup><span class="s1">3</span></sup>;</p>
<p class="p1">(iii) bromothymol blue / phenol red / phenolphthalein;</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Equilibrium is a topic that has shown substantial improvement in recent sessions with some very well produced arguments. The reaction was correctly described as exothermic with a reason correctly given in most cases. Most candidates knew that yield would increase with increased pressure, but some failed to identify the change in the number of “gaseous” molecules as the reason. More candidates had difficulty with the equilibrium constant calculation often using the initial not equilibrium concentrations.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (b) most correctly defined strong and weak acids and many also wrote correct equations. A few, however, missed the equilibrium sign for hydrocyanic acid. HA, CH<sub><span class="s1">3</span></sub>COOH and HCl were commonly given instead of HCN and HNO<sub><span class="s1">3</span></sub>, suggesting that students sometimes have difficulty applying general concepts to specific cases. It was encouraging to see many candidates determine the pH from the p<em>K</em><sub><span class="s1">a </span></sub>value including the assumption that there is negligible dissociation, as this has challenged students in previous sessions. A significant number of weaker candidates reported however that the acid solution would have pH values above 7.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) presented problems with many candidates unable to describe specific observations related to rate which would distinguish between a strong and weak acid and simply stated that the reaction would be faster.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The moles calculation was answered well in (d) with most candidates able to identify phenolphthalein as a suitable indicator.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>An equilibrium exists between nitrosyl chloride, NOCl, nitrogen oxide, NO, and chlorine, \({\text{C}}{{\text{l}}_{\text{2}}}\).</p>
<p>\[{\text{2NOCl(g)}} \rightleftharpoons {\text{2NO(g)}} + {\text{C}}{{\text{l}}_2}{\text{(g)}}\]</p>
</div>
<div class="specification">
<p>\({\text{20.0 c}}{{\text{m}}^{\text{3}}}\) of hexane, \({{\text{C}}_{\text{6}}}{{\text{H}}_{{\text{14}}}}\), and \({\text{20.0 c}}{{\text{m}}^{\text{3}}}\) of pentan-1-ol, \({{\text{C}}_{\text{5}}}{{\text{H}}_{{\text{11}}}}{\text{OH}}\), were placed separately into two closed containers at 298 K and allowed to reach equilibrium.</p>
</div>
<div class="specification">
<p>Ammonia is a weak base.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Deduce the equilibrium constant expression for this reaction.</p>
<p> </p>
<p> </p>
<p>(ii) Explain the effect on the position of equilibrium and the value of \({K_{\text{c}}}\) when pressure is decreased and temperature is kept constant.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(iii) 2.00 mol of NOCl was placed in a \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) container and allowed to reach equilibrium at 298 K. At equilibrium, 0.200 mol of NO was present. Determine the equilibrium concentrations of NOCl and \({\text{C}}{{\text{l}}_{\text{2}}}\), and hence calculate the value of \({K_{\text{c}}}\) at this temperature.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(iv) The value of \({K_{\text{c}}}\) is \(1.60 \times {10^{ - 5}}\) at 318 K. State and explain whether the forward reaction is exothermic or endothermic.</p>
<div class="marks">[7]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Compare the two liquids in terms of their boiling points, enthalpies of vaporization and vapour pressures.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Explain your answer given for part (b)(i).</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the pH of a \({\text{1.50 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) solution of ammonia at 298 K to two decimal places, using Table 15 of the Data Booklet.</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>A buffer solution is made using \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{0.500 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) hydrochloric acid, HCl (aq), and \({\text{20.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{1.50 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) ammonia solution, \({\text{N}}{{\text{H}}_{\text{3}}}{\text{(aq)}}\).</p>
<p>Describe the meaning of the term <em>buffer solution</em>.</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>Determine the pH of the buffer solution at 298 K.</p>
<div class="marks">[4]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A \({\text{1.50 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) solution of ammonia is added to \({\text{25.0 c}}{{\text{m}}^{\text{3}}}\) of a \({\text{0.500 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) hydrochloric acid solution in a titration experiment.</p>
<p>Calculate the total volume of the solution at the equivalence point.</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>Calculate the pH of the solution at the equivalence point, using Table 15 of the Data Booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify a suitable indicator for this titration, using Table 16 of the Data Booklet.</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>(i) \(({K_{\text{c}}} = )\frac{{{\text{[C}}{{\text{l}}_2}{\text{(g)][NO(g)}}{{\text{]}}^2}}}{{{{{\text{[NOCl(g)]}}}^2}}}\);</p>
<p><em>Ignore state symbols.</em></p>
<p>(ii) equilibrium shifts to right as there are more moles (of gas) on product side;</p>
<p>no change to \({K_{\text{c}}}\) as it is a constant at fixed temperature / <em>OWTTE</em>;</p>
<p>(iii) \({\text{[NOCl(g)]}} = 1.80{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{[C}}{{\text{l}}_2}{\text{(g)]}} = 0.100{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({K_{\text{c}}} = \left( {\frac{{0.100 \times {{(0.200)}^2}}}{{{{(1.80)}^2}}}} \right)1.23 \times {10^{ - 3}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p>(iv) exothermic as \({K_{\text{c}}}\) is lower at higher temperature;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) hexane has lower boiling point <strong>and </strong>enthalpy of vaporization than pentan-1-ol / <em>OWTTE</em>;</p>
<p>hexane has higher vapour pressure than pentan-1-ol / <em>OWTTE</em>;</p>
<p>(ii) hexane is non-polar / has only van der Waals’/London/dispersion forces / has weaker intermolecular forces than pentan-1-ol;</p>
<p>pentan-1-ol has hydrogen bonding between molecules;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{[O}}{{\text{H}}^ - }{\text{]}} = \sqrt {1.50 \times 1.78 \times {{10}^{ - 5}}} = 5.17 \times {10^{ - 3}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{pH}} = (14 - {\text{pOH}} = 14 - 2.29 = ){\text{ }}11.71\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Accept correct answer with more than 2 decimal places.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>solution which resists change in pH / changes pH slightly / <em>OWTTE</em>;</p>
<p>when <span style="text-decoration: underline;">small</span> amounts of acid or base are added;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{[N}}{{\text{H}}_3}{\text{] = }}\left( {\frac{{(1.50 \times 0.0200) - (0.500 \times 0.0250)}}{{0.0450}} = } \right){\text{ }}0.389{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{[NH}}_4^ + {\text{]}} = \left( {\frac{{(0.500 \times 0.0250)}}{{0.0450}} = } \right){\text{ }}0.278{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{[O}}{{\text{H}}^ - }{\text{]}} = \left( {\frac{{{K_b}{\text{[N}}{{\text{H}}_3}{\text{]}}}}{{{\text{[NH}}_4^ + {\text{]}}}} = } \right){\text{ }}\frac{{1.78 \times {{10}^{ - 5}} \times 0.389}}{{0.278}} = 2.49 \times {10^{ - 5}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{pH}} = (14.0 - {\text{pOH}} = 14.0 - 4.60 = ){\text{ }}9.40\);</p>
<p><strong>OR</strong></p>
<p>\({\text{pOH}} = {\text{p}}{K_b} + \log \frac{{[{\text{NH}}_4^ + ]}}{{{\text{[N}}{{\text{H}}_3}]}}{\text{ = p}}{K_{\text{b}}} + \log \frac{{(12.5/1000)}}{{(17.5/1000)}}\);</p>
<p>\({\text{pOH}} = 4.75 + \log \left( {\frac{{12.5}}{{17.5}}} \right) = 4.75 - 0.146 = 4.604\);</p>
<p>\({\text{pH}} = 14.0 - 4.604 = 9.40\);</p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {{\text{V(N}}{{\text{H}}_{\text{3}}}{\text{)}} = \frac{{25.0 \times 0.500}}{{1.50}} = 8.33{\text{ c}}{{\text{m}}^3}} \right)\)</p>
<p>\({\text{V}} = {\text{V(N}}{{\text{H}}_3}{\text{)}} + {\text{V(HCl)}} = 8.33 + 25.0 = 33.3{\text{ c}}{{\text{m}}^3}/0.0333{\text{ d}}{{\text{m}}^3}\);</p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(\({\text{NH}}_{\text{4}}^ + \) ions are present at equivalence point \({\text{N}}{{\text{H}}_3} + {\text{HCl}} \to {\text{NH}}_4^ + + {\text{C}}{{\text{l}}^ - }\) at equivalence \({\text{n}}({\text{NH}}_4^ + {\text{ produced}}) = {\text{n}}({\text{N}}{{\text{H}}_3}{\text{ added}}) = {\text{n(HCl)}}\))</p>
<p>\([{\text{NH}}_4^ + ] = \frac{{0.500 \times 0.0250}}{{0.0333}} = 0.375{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}})\);</p>
<p>\({\text{(NH}}_4^ + {\text{(aq)}} \rightleftharpoons {\text{N}}{{\text{H}}_3}{\text{(aq)}} + {{\text{H}}^ + }{\text{(aq)}}/{\text{NH}}_4^ + {\text{(aq)}} + {{\text{H}}_2}{\text{O(l)}} \rightleftharpoons {\text{N}}{{\text{H}}_3}{\text{(aq)}} + {{\text{H}}_3}{{\text{O}}^ + }{\text{(aq)}}\)</p>
<p>\({\text{p}}{K_{\text{a}}}{\text{(NH}}_4^ + ) = 14 - {\text{p}}{K_{\text{b}}}{\text{(N}}{{\text{H}}_3}) = 14.00 - 4.75 = 9.25)\)</p>
<p>\({K_{\text{a}}} = \frac{{{\text{[N}}{{\text{H}}_3}{\text{(aq)][}}{{\text{H}}^ + }{\text{(aq)]}}}}{{{\text{[NH}}_4^ + {\text{(aq)]}}}} = 5.62 \times {10^{ - 10}}\);</p>
<p>\({\text{[}}{{\text{H}}^ + }{\text{(aq)]}} = \sqrt {5.62 \times {{10}^{ - 10}} \times 0.375} = 1.45 \times {10^{ - 5}}{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{pH}} = 4.84\);</p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>bromocresol green / methyl red;</p>
<p><em>ECF for answer in 7(c)(v) if pH given is below 7.</em></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;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The construction and use of equilibrium expressions for \({K_{\text{c}}}\) showed good understanding. The prediction of the effect of increasing pressure on the position of equilibria by applying Le Chatelier’s principle was good, but the fact that \({K_{\text{c}}}\) remains constant at fixed temperatures was less well known. </p>
<p>pH calculations in c(i), c(ii) and c(v) tended to be very good or completely incorrect.</p>
<div class="question_part_label">c.vi.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The rate of reaction is an important factor in industrial processes such as the Contact process to make sulfur trioxide, \({\text{S}}{{\text{O}}_{\text{3}}}{\text{(g)}}\).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>rate of reaction</em>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Describe the collision theory.</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>The Contact process involves this homogeneous equilibrium:</p>
<p>\[{\text{2S}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {{\text{O}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{2S}}{{\text{O}}_{\text{3}}}{\text{(g)}}\,\,\,\,\,\Delta H = - 198{\text{ kJ}}\]</p>
<p>State and explain how increasing the pressure of the reaction mixture affects the yield of \({\text{S}}{{\text{O}}_{\text{3}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The Contact process involves this homogeneous equilibrium:</p>
<p>\[{\text{2S}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {{\text{O}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{2S}}{{\text{O}}_{\text{3}}}{\text{(g)}}\,\,\,\,\,\Delta H = - 198{\text{ kJ}}\]</p>
<p>2.00 mol of \({\text{S}}{{\text{O}}_{\text{2}}}{\text{(g)}}\) are mixed with 3.00 mol of \({{\text{O}}_{\text{2}}}{\text{(g)}}\) in a \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) container until equilibrium is reached. At equilibrium there are 0.80 mol of \({\text{S}}{{\text{O}}_{\text{3}}}{\text{(g)}}\).</p>
<p>Determine the equilibrium constant (\({K_{\text{c}}}\)) assuming all gases are at the same temperature and pressure.</p>
<div class="marks">[4]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The Contact process involves this homogeneous equilibrium:</p>
<p>\[{\text{2S}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {{\text{O}}_{\text{2}}}{\text{(g)}} \rightleftharpoons {\text{2S}}{{\text{O}}_{\text{3}}}{\text{(g)}}\,\,\,\,\,\Delta H = - 198{\text{ kJ}}\]</p>
<p class="p1">State the effect of increasing temperature on the value of \({K_{\text{c}}}\) for this reaction.</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 class="p1">Outline the economic importance of using a catalyst in the Contact process.</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 class="p1">change in concentration of reactant/product with time / rate of change of concentration;</p>
<p class="p1"><em>Accept “increase” instead of “change” for product and “decrease” instead of </em><em>“change” for reactant.</em></p>
<p class="p1"><em>Accept “mass/amount/volume” instead of “concentration”.</em></p>
<p class="p1"><em>Do not accept substance.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">collision frequency;</p>
<p class="p1">two particles must collide;</p>
<p class="p1">particles must have sufficient energy to overcome the activation energy/\(E \geqslant {E_a}\);</p>
<p class="p1"><em>Concept of activation energy must be mentioned.</em></p>
<p class="p1">appropriate collision geometry/orientation;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">increases yield;</p>
<p class="p1">(equilibrium shifts to the right/products as) more <span style="text-decoration: underline;">gaseous</span> moles in reactants/on left / fewer <span style="text-decoration: underline;">gaseous</span> moles in products/on right;</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{Eqm[}}{{\text{O}}_2}{\text{]}} = {\text{2.6 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({\text{Eqm[S}}{{\text{O}}_2}{\text{]}} = {\text{1.2 (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p>\({K_{\text{c}}} = \frac{{{{{\text{[S}}{{\text{O}}_3}]}^2}}}{{{{{\text{[S}}{{\text{O}}_2}{\text{]}}}^2}{\text{[}}{{\text{O}}_2}{\text{]}}}}\);</p>
<p>\({K_{\text{c}}} = 0.17\);</p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<p><em>Ignore units.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{(}}{K_{\text{c}}}{\text{)}}\) decreases;</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">catalyst increases rate of reaction / equilibrium reached faster / increases yield of product per unit time;</p>
<p class="p1">reduces costs / reduces energy needed;</p>
<p class="p1"><em>Do not accept just “increases the yield”.</em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definitions of rate of reaction in (a) were poor with many referring to a measure of time rather than a change in concentration. The collision theory was described successfully for the most part with “frequency of collisions” less frequently mentioned. In (c) (i) most realized that the number of moles of gases is important and thus gave a correct answer. Whilst the \({K_{\text{c}}}\) expression was often given correctly in (ii), the calculation of equilibrium mole concentrations was more testing, particularly that for \({\text{[}}{{\text{O}}_{\text{2}}}{\text{]}}\). Many were able to answer (iii) correctly. In part (d) many suggested that it is good to make more of something rather than relating this to a reduction in costs.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">An example of a homogeneous reversible reaction is the reaction between hydrogen and iodine.</p>
<p class="p1">\[{{\text{H}}_2}{\text{(g)}} + {{\text{I}}_2}{\text{(g)}} \rightleftharpoons {\text{2HI(g)}}\]</p>
</div>
<div class="specification">
<p class="p1">Propene can be hydrogenated in the presence of a nickel catalyst to form propane. Use the data below to answer the questions that follow.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-27_om_06.45.18.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/06.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">At a temperature just above 700 K it is found that when 1.60 mol of hydrogen and 1.00 mol of iodine are allowed to reach equilibrium in a \({\text{4.00 d}}{{\text{m}}^{\text{3}}}\) flask, the amount of hydrogen iodide formed in the equilibrium mixture is 1.80 mol. Determine the value of the equilibrium constant at this temperature.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Outline why the value for the standard enthalpy change of formation of hydrogen is zero.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change for the hydrogenation of propene.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard entropy change for the hydrogenation of propene.</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 class="p1">Determine the value of \(\Delta {G^\Theta }\) for the hydrogenation of propene at 298 K.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">At 298 K the hydrogenation of propene is a spontaneous process. Determine the temperature above which propane will spontaneously decompose into propene and hydrogen.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">amount of \({{\text{H}}_2}\) remaining at equilibrium \( = 1.60 - \frac{{1.80}}{2} = 0.70{\text{ mol}}\);</p>
<p class="p1">amount of \({{\text{I}}_2}\) remaining at equilibrium \( = 1.0 - \frac{{1.80}}{2} = 0.10{\text{ mol}}\);</p>
<p class="p1">\({K_{\text{c}}} = \frac{{{{(1.80/4.0)}^2}}}{{(0.70/4.00) \times (0.10/4.00)}}/\frac{{{{1.80}^2}}}{{0.70 \times 0.10}}\);</p>
<p class="p1">\({K_{\text{c}}} = \frac{{{{(1.80)}^2}}}{{0.70 \times 0.10}} = 46.3\);</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">by definition \(\Delta H_{\text{f}}^\Theta \) of elements (in their standard states) is zero / no reaction involved / <em>OWTTE</em>;</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H = - 104 - ( + 20.4)\);</p>
<p>\( = - 124.4{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for 124.4 (kJ</em>\(\,\)<em>mol</em><sup><span class="s1">−<em>1</em></span></sup><em>)</em>.</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta S = 270 - (267 + 131)\);</p>
<p>\( = - 128{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for </em>+<em>128 ( J</em>\(\,\)<em>K</em><sup><span class="s1">−<em>1</em></span></sup><em>mol</em><sup><span class="s1">−<em>1</em></span></sup><em>)</em>.</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G = \Delta H - {\text{T}}\Delta S = - 124.4 - \frac{{( - 128 \times 298)}}{{1000}}\);</p>
<p>\( = - 86.3{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p><em>Units needed for the mark.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Allow ECF if only one error in first marking point.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta G = \Delta H - {\text{T}}\Delta S = 0/\Delta H = {\text{T}}\Delta S\);</p>
<p class="p1">\({\text{T}} = \frac{{ - 124.4}}{{ - 128/1000}} = 972{\text{ K}}/699{\text{ }}^\circ {\text{C}}\);</p>
<p class="p1"><em>Only penalize incorrect units for T and inconsistent ΔS value once in (iv) and (v).</em></p>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was the most popularly answered question. Most candidates were able to give a good description of the characteristics of homogenous equilibrium, and apply Le Chatelierās Principle to explain the effect of catalysts and changes of temperature and pressure on the position of equilibrium and the equilibrium constant. A good majority were able to calculate the value of \({K_{\text{c}}}\)<span class="s1"> </span>although a significant number of candidates incorrectly used the initial rather than the equilibrium concentrations.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Although most candidates clearly understood the concept of standard <em>enthalpy change of formation </em>many were unable to explain why the value for hydrogen is zero. Many responses neglected to mention that \({{\text{H}}_{\text{2}}}\) is an element in its standard state.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidate were able to calculate \(\Delta H\) and \(\Delta S\) although some inverted the equation and gave a positive value instead of negative answer or confused the values for propane and propene.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous. This error resulted in some very strange temperatures for the thermal decomposition of propane to propene.</p>
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">To determine the enthalpy change of combustion of methanol, \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\), 0.230 g of methanol was combusted in a spirit burner. The heat released increased the temperature of \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of water from 24.5 °<span class="s2">C </span>to 45.8 °<span class="s2">C</span>.</p>
</div>
<div class="specification">
<p class="p1">Methanol can be produced according to the following equation.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_2}{\text{(g)}} \to {\text{C}}{{\text{H}}_3}{\text{OH(l)}}\]</p>
</div>
<div class="specification">
<p class="p1">The manufacture of gaseous methanol from CO and \({{\text{H}}_{\text{2}}}\) involves an equilibrium reaction.</p>
<p class="p2"><span class="Apple-converted-space"> </span>\({\text{CO(g)}} + {\text{2}}{{\text{H}}_2}{\text{(g)}} \rightleftharpoons {\text{C}}{{\text{H}}_3}{\text{OH(g)}}\) <span class="Apple-converted-space"> </span>\(\Delta {H^\Theta } < 0\)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change of this reaction, using the values of enthalpy of combustion in Table 12 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 class="p1">Calculate the standard entropy change for this reaction, \(\Delta {S^\Theta }\), using Table 11 of the Data Booklet and given:</p>
<p class="p1">\({S^\Theta }{\text{(CO)}} = 198{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{ and }}{S^\Theta }{\text{(}}{{\text{H}}_{\text{2}}}{\text{)}} = 131{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate, stating units, the standard free energy change for this reaction, \(\Delta {G^\Theta }\), at 298 K.</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 class="p1">Predict, with a reason, the effect of an increase in temperature on the spontaneity of this reaction.</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 class="p1">1.00 mol of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\) is placed in a closed container of volume \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) until equilibrium is reached with CO and \({{\text{H}}_{\text{2}}}\). At equilibrium 0.492 mol of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\) are present. Calculate \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({\text{C}}{{\text{H}}_3}{\text{OH}} + \frac{3}{2}{{\text{O}}_2} \to {\text{C}}{{\text{O}}_2} + 2{{\text{H}}_2}{\text{O}}\) \(\Delta H_{\text{c}}^{^\Theta } = - 726{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p>\({\text{CO}} + \frac{1}{2}{{\text{O}}_2} \to {\text{C}}{{\text{O}}_2}\) \(\Delta H_{\text{c}}^{^\Theta } = - 283{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p>\({{\text{H}}_2} + \frac{1}{2}{{\text{O}}_2} \to {{\text{H}}_2}{\text{O}}\) \(\Delta H_{\text{c}}^{^\Theta } = - 286{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for three correct values.</em></p>
<p><em>Mark can be implicit in calculations.</em></p>
<p>\((\Delta H_{\text{R}}^{^\Theta } = ){\text{ }}2( - 286) + ( - 283) - ( - 726)\);</p>
<p>\( - {\text{129 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for +129 (kJ</em>\(\,\)<em>mol</em><em><sup>–1</sup></em><em>).</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((\Delta {S^\Theta } = 240 - 198 - 2 \times 131 = ){\text{ }} - 220{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( { - 129 - 298( - 0.220) = } \right){\text{ }} - 63.4{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct numerical answer and </em><strong><em>[1] </em></strong><em>for correct unit if the conversion has been made from J to kJ for </em>\(\Delta {S^\Theta }\)<em>.</em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">not spontaneous at high temperature;</p>
<p class="p1">\(T\Delta {S^\Theta } < \Delta {H^\Theta }\) <strong>and</strong> \(\Delta {G^\Theta }\) positive;</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(n{\text{(CO)}} = 0.508{\text{ (mol)}}\);</p>
<p class="p1">\(n({{\text{H}}_2}) = 2 \times 0.508{\text{ (mol)}}\);</p>
<p class="p1">\({K_{\text{c}}}{\text{ }}\left( { = \frac{{0.492}}{{0.508 \times {{(2 \times 0.508)}^2}}}} \right) = 0.938\);</p>
<p class="p1"><em>Accept answer in range between 0.930 and 0.940.</em></p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for K<sub>c</sub></em> <em>= 1.066 if (c)(ii) is correct.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), the most common error was \( + {\text{129 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but in (ii) the answer was often correct.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), the most common error was \( + {\text{129 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but in (ii) the answer was often correct.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Units tended to get muddled in (iii) and many marks were awarded as “error carried forward”.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Few were able to explain the \(\Delta H\) and \(T\Delta S\) relationship in detail in (iv).</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Equilibrium was well understood in general with many candidates gaining one of the two available marks. “Equal rates” was more often given than the constancy of macroscopic properties for the second mark. The \({K_{\text{c}}}\) expression was given correctly by the vast majority of candidates (including the correct brackets and indices) but many had difficulty with the equilibrium concentrations in (iii).</p>
<p class="p1">The changes in equilibrium position were well understood for the most part although if a mark were to be lost it was for not mentioning the number of moles of gas.</p>
<div class="question_part_label">c.iii.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Consider the following equilibrium.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{\text{2S}}{{\text{O}}_2}{\text{(g)}} + {{\text{O}}_2}{\text{(g)}} \rightleftharpoons {\text{2S}}{{\text{O}}_3}{\text{(g)}}}&{\Delta {H^\Theta } = - 198{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \end{array}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State and explain the effect of increasing the pressure on the yield of sulfur trioxide.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the effects of a catalyst on the forward and reverse reactions, on the position of equilibrium and on the value of \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">When a mixture of 0.100 mol NO, 0.051 mol \({{\text{H}}_{\text{2}}}\) and 0.100 mol \({{\text{H}}_{\text{2}}}{\text{O}}\) were placed in a \({\text{1.0 d}}{{\text{m}}^{\text{3}}}\) flask at 300 K, the following equilibrium was established.</p>
<p class="p1">\(2{\text{NO(g)}} + 2{{\text{H}}_2}{\text{(g)}} \rightleftharpoons {{\text{N}}_2}{\text{(g)}} + 2{{\text{H}}_2}{\text{O(g)}}\)</p>
<p class="p1">At equilibrium, the concentration of NO was found to be \({\text{0.062 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\). Determine the equilibrium constant, \({K_{\text{c}}}\), of the reaction at this temperature.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Outline <strong>two </strong>differences between an electrolytic cell and a voltaic cell.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Electroplating is an important application of electrolysis. State the composition of the electrodes and the electrolyte used in the silver electroplating process.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">yield (of \({\text{S}}{{\text{O}}_{\text{3}}}\)) increases / equilibrium moves to right / more \({\text{S}}{{\text{O}}_{\text{3}}}\) formed;</p>
<p class="p1">3 <span style="text-decoration: underline;"><span class="s1">gaseous </span></span>molecules \( \to \) 2 <span style="text-decoration: underline;"><span class="s1">gaseous </span></span>molecules / decrease in volume of <span style="text-decoration: underline;"><span class="s1">gaseous </span></span>molecules / fewer <span style="text-decoration: underline;"><span class="s1">gaseous </span></span>molecules on right hand side;</p>
<p class="p1"><em>Do not allow ECF.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">rates of both forward and reverse reactions increase <span style="text-decoration: underline;"><span class="s1">equally</span></span>;</p>
<p class="p1">no effect on position of equilibrium;</p>
<p class="p1">no effect on value of <strong><em>[3] </em></strong>\({K_{\text{c}}}\);</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{2NO(g)}} + {\text{2}}{{\text{H}}_2}{\text{(g)}} \rightleftharpoons {{\text{N}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(g)}}\)</p>
<p><img src="images/Schermafbeelding_2016-10-18_om_08.49.47.png" alt="M09/4/CHEMI/HP2/ENG/TZ2/06.b/M"></p>
<p class="p1">\({\text{[}}{{\text{H}}_{\text{2}}}{\text{] at equilibrium}} = 0.013{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\({\text{[}}{{\text{N}}_{\text{2}}}{\text{] at equilibrium}} = 0.019{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\({\text{[}}{{\text{H}}_{\text{2}}}{\text{O] at equilibrium}} = 0.138{\text{ (mol}}\,{\text{d}}{{\text{m}}^{ - 3}}{\text{)}}\);</p>
<p class="p1">\({K_{\text{c}}} = {\text{[}}{{\text{N}}_2}{\text{][}}{{\text{H}}_2}{\text{O}}{{\text{]}}^2}{\text{/[NO}}{{\text{]}}^2}{{\text{[}}{{\text{H}}_2}{\text{]}}^2} = {\text{(0.019)(0.138}}{{\text{)}}^2}{\text{/(0.062}}{{\text{)}}^2}{{\text{(0.013)}}^2} = 5.6 \times {10^2}\);</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for final correct answer.</em></p>
<p class="p1"><em>Accept any value also in range 557–560.</em></p>
<p class="p1"><em>Do not penalize significant figures.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">electrolytic cell converts electrical energy to chemical energy <strong>and </strong>voltaic cell converts chemical energy to electrical energy / electrolytic cell uses electricity to carry out a (redox) chemical reaction <strong>and </strong>voltaic cell uses a (redox) chemical reaction to produce electricity / electrolytic cell requires a power supply <strong>and </strong>voltaic cell does not;</p>
<p class="p1">electrolytic cell involves a non-spontaneous (redox) reaction <strong>and </strong>voltaic cell involves a spontaneous (redox) reaction;</p>
<p class="p1">in an electrolytic cell, cathode is negative and anode is positive <strong>and </strong><em>vice-versa </em>for a voltaic cell / electrolytic cell, anode is positive and voltaic cell, anode is negative / electrolytic cell, cathode is negative and voltaic cell, cathode is positive;</p>
<p class="p1">voltaic cell has two separate solutions <strong>and </strong>electrolytic cell has one solution / voltaic cell has salt bridge and electrolytic cell has no salt bridge;</p>
<p class="p1">electrolytic cell, oxidation occurs at the positive electrode/anode <strong>and </strong>voltaic cell, oxidation occurs at the negative electrode/anode and <em>vice-versa</em>;</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Cathode/negative electrode</em>:</p>
<p class="p1">object to be plated;</p>
<p class="p1"><em>Allow a specific example here e.g. spoon.</em></p>
<p class="p1"><em>Accept inert metal/graphite.</em></p>
<p class="p1"><em>Do not accept silver halides or their formulae.</em></p>
<p class="p1"><em>Anode/positive electrode</em>:</p>
<p class="p1">Silver/Ag;</p>
<p class="p1"><em>Electrolyte:</em></p>
<p class="p1">\({{\text{[Ag(CN}}{{\text{)}}_{\text{2}}}{\text{]}}^ - }\);</p>
<p class="p1"><em>Allow silver nitrate/AgNO</em><span class="s1"><em>3 </em></span><em>/ silver cyanide/any other suitable silver salt/solution.</em></p>
<p class="p1"><em>Do not accept AgCl.</em></p>
<div class="question_part_label">c.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (ii) an overwhelming number of candidates were able to score the first mark but did not refer to the gaseous state and hence lost the second mark.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (iv) was another question where candidates easily scored the second and third mark. Although this has been asked a number of times in recent sessions, some candidates still do not state that the rates of both the forward and reverse reactions increase <strong>equally</strong>.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(b) was considered a very challenging question for candidates, and usually only the better candidates scored all four marks.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (c) (i) most candidates scored two marks.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Electroplating was a topic only partially understood by candidates, and so only a few candidates obtained all three marks in (v). Often the nature of the electrode was mixed up or in many cases incorrect electrolytes were given.</p>
<div class="question_part_label">c.v.</div>
</div>
<br><hr><br><div class="specification">
<p>Urea, (H<sub>2</sub>N)<sub>2</sub>CO, is excreted by mammals and can be used as a fertilizer.</p>
</div>
<div class="specification">
<p>Urea can also be made by the direct combination of ammonia and carbon dioxide gases.</p>
<p style="text-align: center;">2NH<sub>3</sub>(g) + CO<sub>2</sub>(g) \( \rightleftharpoons \) (H<sub>2</sub>N)<sub>2</sub>CO(g) + H<sub>2</sub>O(g) <span class="Apple-converted-space"> </span>Δ<em>H </em>< 0</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the percentage by mass of nitrogen in urea to two decimal places using section 6 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how the percentage of nitrogen affects the cost of transport of fertilizers giving a reason.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The structural formula of urea is shown.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_11.43.42.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b_01"></p>
<p>Predict the electron domain and molecular geometries at the nitrogen and carbon atoms, applying the VSEPR theory.</p>
<p><img src="images/Schermafbeelding_2018-08-07_om_11.45.16.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b_02"></p>
<p>Ā </p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Urea can be made by reacting potassium cyanate, KNCO, with ammonium chloride, NH<sub>4</sub>Cl.</p>
<p style="text-align: center;">KNCO(aq) + NH<sub>4</sub>Cl(aq) ā (H<sub>2</sub>N)<sub>2</sub>CO(aq) + KCl(aq)</p>
<p>Determine the maximum mass of urea that could be formed from 50.0 cm<sup>3</sup> of 0.100 mol dm<sup>ā3</sup> potassium cyanate solution.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>.</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, with a reason, the effect on the equilibrium constant, <em>K</em><sub>c</sub>, when the temperature is increased.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine an approximate order of magnitude for <em>K</em><sub>c</sub>, using sections 1 and 2 of the data booklet. Assume Ī<em>G</em><sup>Ī</sup>Ā for the forward reaction is approximately +50 kJ at 298 K.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest one reason why urea is a solid and ammonia a gas at room temperature.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch two different hydrogen bonding interactions between ammonia and water.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The combustion of urea produces water, carbon dioxide and nitrogen.</p>
<p>Formulate a balanced equation for the reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the maximum volume of CO<sub>2</sub>, in cm<sup>3</sup>, produced at STP by the combustion of 0.600 g of urea, using sections 2 and 6 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe the bond formation when urea acts as a ligand in a transition metal complex ion.</p>
<div class="marks">[2]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The CāN bonds in urea are shorter than might be expected for a single CāN bond. Suggest, in terms of electrons, how this could occur.</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>The mass spectrum of urea is shown below.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_13.00.41.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.j_01"></p>
<p>Identify the species responsible for the peaks at <em>m</em>/<em>z </em>= 60 and 44.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The IR spectrum of urea is shown below.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_13.07.17.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.k_01"></p>
<p>Identify the bonds causing the absorptions at 3450 cm<sup>ā1</sup> and 1700 cm<sup>ā1</sup> using section 26 of the data booklet.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the number of signals in the <sup>1</sup>H NMR spectrum of urea.</p>
<div class="marks">[1]</div>
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the splitting pattern of the <sup>1</sup>H NMR spectrum of urea.</p>
<div class="marks">[1]</div>
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why TMS (tetramethylsilane) may be added to the sample to carry out <sup>1</sup>H NMR spectroscopy and why it is particularly suited to this role.</p>
<div class="marks">[2]</div>
<div class="question_part_label">l.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>molar mass of urea <strong>Ā«</strong>4 \( \times \) 1.01 + 2 \( \times \) 14.01 + 12.01 +<span class="Apple-converted-space">Ā </span>16.00<strong>Ā» </strong>= 60.07 <strong>Ā«</strong>g mol<sup><sub>-1</sub></sup><strong>Ā»</strong></p>
<p><strong>Ā«</strong>% nitrogen = \(\frac{{{\text{2}} \times {\text{14.01}}}}{{{\text{60.07}}}}\) \( \times \) 100 =<strong>Ā» </strong>46.65 <strong>Ā«</strong>%<strong>Ā»</strong></p>
<p>Ā </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 final answer not toĀ </em><em>two decimal places.</em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>cost<strong>Ā»</strong> increases <strong><em>AND </em></strong>lower N%<strong> Ā«</strong>means higher cost of transportation per unit ofĀ nitrogen<strong>Ā»</strong></p>
<p><strong><em>OR</em></strong></p>
<p><strong>Ā«</strong>cost<strong>Ā»</strong> increases <strong><em>AND </em></strong>inefficient/too much/about half mass not nitrogen</p>
<p>Ā </p>
<p><em>Accept other reasonable explanations.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept answers referring toĀ </em><em>safety/explosions.</em></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-07_om_11.46.41.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b/M"></p>
<p>Ā </p>
<p><em>Note: Ureaās structure is more complexĀ </em><em>than that predicted from VSEPR theory.</em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>n</em>(KNCO) <strong>Ā«=</strong>Ā 0.0500 dm<sup>3</sup> \( \times \) 0.100 mol dm<sup>ā3</sup><strong>Ā» =</strong>Ā 5.00 \( \times \) 10<sup>ā3</sup> <strong>Ā«</strong>mol<strong>Ā»</strong></p>
<p><strong>Ā«</strong>mass of urea =Ā 5.00 \( \times \) 10<sup>ā3</sup> mol \( \times \) 60.07 g mol<sup>ā1</sup><strong>Ā» =</strong>Ā 0.300 <strong>Ā«</strong>g<strong>Ā»</strong></p>
<p>Ā </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({K_{\text{c}}} = \frac{{[{{({{\text{H}}_2}{\text{N}})}_2}{\text{CO}}] \times [{{\text{H}}_2}{\text{O}}]}}{{{{[{\text{N}}{{\text{H}}_3}]}^2} \times [{\text{C}}{{\text{O}}_2}]}}\)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong><em>K</em><sub>c</sub><strong>Ā»</strong> decreases <strong><em>AND </em></strong>reaction is exothermic</p>
<p><strong><em>OR</em></strong></p>
<p><strong>Ā«</strong><em>K</em><sub>c</sub><strong>Ā»</strong> decreases <strong><em>AND</em></strong> Ī<em>H </em>is negative</p>
<p><strong><em>OR</em></strong></p>
<p><strong>Ā«</strong><em>K</em><sub>c</sub><strong>Ā»</strong> decreases <strong><em>AND </em></strong>reverse/endothermic reaction is favoured</p>
<p>Ā </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ln <em>K </em><strong>Ā« =Ā </strong>\(\frac{{ - \Delta {G^\Theta }}}{{RT}} = \frac{{ - 50 \times {{10}^3}{\text{ J}}}}{{8.31{\text{ J }}{{\text{K}}^{ - 1}}{\text{ mo}}{{\text{l}}^{ - 1}} \times 298{\text{ K}}}}\)Ā <strong>Ā»</strong> =Ā ā20</p>
<p>Ā </p>
<p><strong>Ā«</strong><em>K</em><sub>c</sub> =<strong>Ā»</strong> 2 \( \times \)Ā 10<sup>ā9</sup></p>
<p><strong><em>OR</em></strong></p>
<p>1.69 \( \times \)Ā 10<sup>ā9</sup></p>
<p><strong><em>OR</em></strong></p>
<p>10<sup>ā9</sup></p>
<p>Ā </p>
<p><em>Accept range of 20-20.2 for M1.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any one of:</em></p>
<p>urea has greater molar mass</p>
<p>urea has greater electron density/greater London/dispersion</p>
<p>urea has more hydrogen bonding</p>
<p>urea is more polar/has greater dipole moment</p>
<p>Ā </p>
<p><em>Accept āurea has larger size/greaterĀ </em><em>van der Waals forcesā.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept āurea has greaterĀ </em><em>intermolecular forces/IMFā.</em></p>
<p>Ā </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-07_om_12.44.01.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.e.ii/M"></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for each correct interaction.</em></p>
<p>Ā </p>
<p><em>If lone pairs are shown on N or O, thenĀ </em><em>the lone pair on N or one of the loneĀ </em><em>pairs on O </em><strong><em>MUST </em></strong><em>be involved in theĀ </em><em>H-bond.</em></p>
<p><em>Penalize solid line to representĀ </em><em>H-bonding only once.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2(H<sub>2</sub>N)<sub>2</sub>CO(s) +Ā 3O<sub>2</sub>(g) ā 4H<sub>2</sub>O(l) +Ā 2CO<sub>2</sub>(g) +Ā 2N<sub>2</sub>(g)</p>
<p>correct coefficients on LHS</p>
<p>correct coefficients on RHS</p>
<p>Ā </p>
<p><em>Accept (H</em><sub><em>2</em></sub><em>N)</em><sub><em>2</em></sub><em>CO(s) +</em>Ā \(\frac{3}{2}\)<em>O</em><sub><em>2</em></sub><em>(g) āĀ </em><em>2H</em><sub><em>2</em></sub><em>O(l) +</em>Ā <em>CO</em><sub><em>2</em></sub><em>(g) +</em>Ā <em>N</em><sub><em>2</em></sub><em>(g).</em></p>
<p><em>Accept any correct ratio.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>V =Ā \(\frac{{{\text{0.600 g}}}}{{{\text{60.07 g mo}}{{\text{l}}^{ - 1}}}}\)Ā \( \times \)Ā 22700 cm<sup>3</sup> mol<sup>ā1</sup>Ā =<strong>Ā» </strong>227 <strong>Ā«</strong>cm<sup>3</sup><strong>Ā»</strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lone/non-bonding electron pairs <strong>Ā«</strong>on nitrogen/oxygen/ligand<strong>Ā» </strong>given to/shared withĀ metal ion</p>
<p>co-ordinate/dative/covalent bonds</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lone pairs on nitrogen atoms can be donated to/shared with CāN bond</p>
<p><strong><em>OR</em></strong></p>
<p>CāN bond partial double bond character</p>
<p><strong><em>OR</em></strong></p>
<p>delocalization <strong>Ā«</strong>of electrons occurs across molecule<strong>Ā»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>slight positive charge on C due to C=O polarity reduces CāN bond length</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>60</em>: CON<sub>2</sub>H<sub>4</sub><sup>+</sup></p>
<p><em>44</em>: CONH<sub>2</sub><sup>+</sup></p>
<p>Ā </p>
<p><em>Accept āmolecular ionā.</em></p>
<p>Ā </p>
<p>Ā </p>
<p><em><strong>[2 marks]</strong><br></em></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>3450 cm</em><sup><em>ā</em><em>1</em></sup><em>:</em> NāH</p>
<p><em>1700 cm</em><sup><em>ā</em><em>1</em></sup><em>:</em> C=O</p>
<p>Ā </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept āO</em><em>ā</em><em>Hā for 3450 cm</em><sup><em>ā1</em></sup><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>1</p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>singlet</p>
<p>Ā </p>
<p><em>Accept āno splittingā.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>acts as internal standard</p>
<p><strong><em>OR</em></strong></p>
<p>acts as reference point</p>
<p>Ā </p>
<p>one strong signal</p>
<p><strong><em>OR</em></strong></p>
<p>12 H atoms in same environment</p>
<p><strong><em>OR</em></strong></p>
<p>signal is well away from other absorptions</p>
<p>Ā </p>
<p><em>Accept āinertā or āreadily removedā orĀ </em><em>ānon-toxicā for M1.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">l.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</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">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.iii.</div>
</div>
<br><hr><br><div class="specification">
<p>Phosgene, COCl<sub>2</sub>, is usually produced by the reaction between carbon monoxide and chlorine according to the equation:</p>
<p><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Deduce the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</p>
<p>(ii) At exactly 600°C the value of the equilibrium constant is 0.200. Calculate the standard Gibbs free energy change, <img src="data:image/png;base64,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" alt>, for the reaction, in kJ, using sections 1 and 2 of the data booklet. State your answer to <strong>three</strong> significant figures.</p>
<p>(iii) The standard enthalpy change of formation of phosgene, \(\Delta H_f^\Theta \), is −220.1kJmol<sup>−1</sup>. Determine the standard enthalpy change, \(\Delta H_{}^\Theta \), for the forward reaction of the equilibrium, in kJ, using section 12 of the data booklet.</p>
<p>(iv) Calculate the standard entropy change, \(\Delta S_{}^\Theta \), in JK<sup>−1</sup>, for the forward reaction at 25°C, using your answers to (a) (ii) and (a) (iii). (If you did not obtain an answer to (a) (ii) and/or (a) (iii) use values of +20.0 kJ and −120.0 kJ respectively, although these are not the correct answers.)</p>
<div class="marks">[8]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One important industrial use of phosgene is the production of polyurethanes. Phosgene is reacted with diamine <strong>X</strong>, derived from phenylamine.</p>
<p><img 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" alt></p>
<p>(i) Classify diamine <strong>X</strong> as a primary, secondary or tertiary amine.</p>
<p>(ii) Phenylamine, C<sub>6</sub>H<sub>5</sub>NH<sub>2</sub>, is produced by the reduction of nitrobenzene, C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>. Suggest how this conversion can be carried out.</p>
<p>(iii) Nitrobenzene can be obtained by nitrating benzene using a mixture of concentrated nitric and sulfuric acids. Formulate the equation for the equilibrium established when these two acids are mixed.</p>
<p>(iv) Deduce the mechanism for the nitration of benzene, using curly arrows to indicate the movement of electron pairs.</p>
<div class="marks">[8]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The other monomer used in the production of polyurethane is compound <strong>Z</strong> shown below.</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(i) State the name, applying IUPAC rules, of compound <strong>Z</strong> and the class of compounds to which it belongs.</p>
<p>Name:</p>
<p>Class:</p>
<p>(ii) Deduce the number of signals you would expect to find in the <sup>1</sup>H NMR spectrum of compound <strong>Z</strong>, giving your reasons.</p>
<p>The mass spectrum and infrared (IR) spectrum of compound <strong>Z</strong> are shown below:</p>
<p>Mass spectrum</p>
<p><img 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" alt></p>
<p>IR spectrum</p>
<p><img 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" alt></p>
<p>(iii) Identify the species causing the large peak at <em>m/z</em>=31 in the mass spectrum.</p>
<p>(iv) Identify the bond that produces the peak labelled <strong>Q</strong> on the IR spectrum, using section 26 of the data booklet.</p>
<div class="marks">[5]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Phenylamine can act as a weak base. Calculate the pH of a 0.0100 mol dm<sup>−3</sup> solution of phenylamine at 298K using section 21 of the data booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>\( \ll {K_{\rm{C}}}{\rm{ = }} \gg \frac{{\left[ {{\rm{COC}}{{\rm{l}}_{\rm{2}}}} \right]}}{{\left[ {{\rm{CO}}} \right]\left[ {{\rm{C}}{{\rm{l}}_2}} \right]}}\)</p>
<p>(ii)<br><em>T</em>«= 600 + 273» = 873K</p>
<p>Δ<em>G</em><sup>Θ</sup> = −8.31 × 873 × ln (0.200)<br><em><strong>OR</strong></em><br>Δ<em>G</em><sup>Θ</sup> = « + » 11676 «J»<br>Δ<em>G</em><sup>Θ</sup> = « + » 11.7 «kJ»</p>
<p><em>Accept 11.5 to 12.0.</em><br><em>Award final mark only if correct sig fig.</em><br><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<p>(iii)<br>Δ<em>H</em><sup>Θ</sup> = −220.1 − (−110.5)<br>Δ<em>H</em><sup>Θ</sup> = −109.6 «kJ»</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em><br><em>Award <strong>[1]</strong> for −330.6, or +109.6 «kJ».</em></p>
<p>(iv)<br>Δ<em>G</em><sup>Θ</sup>= −109.6 − (298 × Δ<em>S</em><sup>Θ</sup>) = +11.7 «kJ»<br>Δ<em>S</em><sup>Θ</sup>«\(\frac{{\left( {11.7 + 109.6} \right) \times {{10}^3}}}{{298}}\)»= −407 «JK<sup>−1</sup>»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Award<strong> [2]</strong> for −470 «JK<sup>−1</sup>» (result from given values).</em><br><em>Do not penalize wrong value for T if already done in (a)(ii).</em><br><em>Award <strong>[1 max]</strong> for −0.407 «kJ K<sup>−1</sup>».</em><br><em>Award<strong> [1 max]</strong> for −138.9 «J K<sup>−1</sup>».</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>primary</p>
<p>(ii)<br><em><strong>ALTERNATIVE 1:</strong></em><br><strong>«</strong>heat with<strong>»</strong> tin/Sn <em><strong>AND</strong></em> hydrochloric acid/HCl<br>aqueous alkali/OH<sup>–</sup>(aq)</p>
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<p><em><strong>ALTERNATIVE 2:</strong></em><br>hydrogen/H<sub>2</sub><br>nickel/Ni <strong>«</strong>catalyst<strong>»</strong></p>
<p><em>Accept specific equations having correct reactants. </em><br><em>Do <strong>not</strong> accept LiAlH4 or NaBH4.</em><br><em>Accept Pt or Pd catalyst.</em></p>
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<p><em>Accept equations having correct reactants.</em></p>
<p>(iii)<br>HNO<sub>3</sub> + 2H<sub>2</sub>SO<sub>4</sub> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAWCAYAAAA1vze2AAABUUlEQVRIDe2Vv0rDUBTGv0otATP4BL5BHsAt+ACZBZ276iT4CBmdHJ0qQl3aVVyqg4sIzaBDHDK0g0MRUsjlNvDJjaYk5GqbP908Idzk5Jzvl5xzLmmRJDZsWxvWT+T/IaWq3FC5YnjDazxMYz1cTVd9C3gKEOjyOSyqoeiq5llM7mkrkHVOf5HXaAyiZKNxT+05wnEZZEAt9TAt5Hzq4eX9M70tve7sbuPxaB8nHgDbRXB3hr22wi4t5IWl6trgaV9yRjL3JbEQEAAUvL7FiNGGaRjIQeoL6xUyLy3wdHuDN9lBcnQAKaU+a02vlCYODp1sT8jZ+KrZnqDL14jMNP57AiK/TytpvsPRx3Iqal0UIEot8gc/oOLGqkLTQpRQmJbuuJeMYRXxNOdXiAqYjNykR/0gSuMrrStHWMwFDNNYc570YSsh+rRy3ob+J39DvwBzpBy/7zwQqAAAAABJRU5ErkJggg==" alt> NO<sub>2</sub><sup>+</sup> + 2HSO<sub>4</sub><sup>−</sup> + H<sub>3</sub>O<sup>+</sup></p>
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<p><em>Accept: HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub><img src="data:image/png;base64,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" alt> NO<sub>2</sub><sup>+</sup> +<em>HSO<sub>4</sub></em><sup>−</sup> + <em>H<sub>2</sub></em>O Accept HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <img src="data:image/png;base64,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" alt> <em>H<sub>2</sub></em>N<em>O<sub>3</sub></em><sup>+</sup> + HSO<sub>4</sub><sup>−</sup> .</em><br><em> Accept equivalent two step reactions in which sulfuric acid first behaves as a strong acid and protonates the nitric acid, before behaving as a dehydrating agent removing water from it.</em></p>
</div>
</div>
</div>
</div>
<p>(iv)<br><img src="data:image/png;base64,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" alt></p>
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<p>curly arrow going from benzene ring to N of <sup>+</sup>NO<sub>2</sub>/NO<sub>2</sub><sup>+</sup> <br>carbocation with correct formula and positive charge on ring <br>curly arrow going from C–H bond to benzene ring of cation <br>formation of organic product nitrobenzene <em><strong>AND</strong></em> H<sup>+</sup></p>
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<p><em>Accept mechanism with corresponding KekuleĢ structures.</em></p>
<p><em>Do <strong>not</strong> accept a circle in M2 or M3. Accept first arrow starting either inside the </em><em>circle or on the circle.</em></p>
<p><em>M2 may be awarded from correct diagram for M3.</em></p>
<p><em>M4: Accept C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub> + H<sub>2</sub>SO<sub>4</sub> if HSO<sub>4</sub><sup>−</sup> used in M3.</em></p>
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<p><br> </p>
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<div class="question_part_label">b.</div>
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<p>(i)<br><em>Name</em>: ethane-1,2-diol<br><em>Class</em>: alcohol<strong>«</strong>s<strong>»</strong></p>
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<p><em>Accept ethan-1,2-diol / 1,2-ethanediol.</em><br><em>Do <strong>not</strong> accept “diol” for Class.</em></p>
<p>(ii)<br>two <em><strong>AND</strong></em> two hydrogen environments in the molecule <br><em><strong>OR</strong></em><br>two <em><strong>AND</strong></em> both CH<sub>2</sub> and OH present</p>
<p>(iii)<br><sup>+</sup>CH<sub>2</sub>OH</p>
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<p><em>Accept CH<sub>3</sub>O<sup>+</sup>. </em><br><em> Accept [•CH<sub>2</sub>OH]<sup>+</sup> and [•CH<sub>3</sub>O]<sup>+</sup>.</em><br><em> Do not accept answers in which the charge is missing. </em></p>
<p>(iv)<br>oxygen-hydrogen <strong>«</strong>bond<strong>»</strong>/O–H <strong>«</strong>in hydroxyl<strong>»</strong></p>
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<div class="question_part_label">c.</div>
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<p>\({K_{\rm{b}}} \approx \frac{{{{\left[ {{\rm{O}}{{\rm{H}}^ - }} \right]}^2}}}{{\left[ {{{\rm{C}}_{\rm{6}}}{{\rm{H}}_{\rm{5}}}{\rm{N}}{{\rm{H}}_{\rm{2}}}} \right]}} = {10^{ - 9.13}}/7.413 \times {10^{ - 10}}\)</p>
<p>\(\left[ {{\rm{O}}{{\rm{H}}^ - }} \right] = \sqrt {0.0100 \times {{10}^{ - 9.13}}} = 2.72 \times {10^{ - 6}}\)</p>
<p>\(\left[ {{{\rm{H}}^ + }} \right] = \frac{{1 \times {{10}^{ - 14}}}}{{2.72 \times {{10}^{ - 6}}}} = 3.67 \times {10^{ - 9}}\)</p>
<p><em><strong>OR</strong></em></p>
<p>pOH = 5.57</p>
<p>pH = −log [H<sup>+</sup>] = 8.44</p>
<p><em>Accept other approaches to the calculation.</em><br><em>Award <strong>[4]</strong> for correct final answer.</em><br><em>Accept any answer from 8.4 to 8.5.</em></p>
<div class="question_part_label">d.</div>
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<h2 style="margin-top: 1em">Examiners report</h2>
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[N/A]
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[N/A]
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[N/A]
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[N/A]
<div class="question_part_label">d.</div>
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