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</div><h2>HL Paper 2</h2><div class="specification">
<p>Magnesium, a reactive metal found in many common minerals, is also an essential nutrient for both plants and animals.</p>
</div>
<div class="specification">
<p>Successive ionization energies of magnesium are given in the table below.</p>
<p><img src="images/Schermafbeelding_2016-08-14_om_07.56.03.png" alt="M14/4/CHEMI/HP2/ENG/TZ2/08.b"></p>
</div>
<div class="specification">
<p>Magnesium metal is mainly used as a component in lightweight alloys, particularly in combination with aluminium and titanium.</p>
</div>
<div class="specification">
<p>Magnesium is usually produced by the electrolysis of molten magnesium chloride.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Define the term <em>first ionization energy</em>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Explain why the second ionization energy is greater than the first ionization energy.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Explain why the third ionization energy is much greater than the second ionization energy.</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>Although magnesium is usually found as \({\text{M}}{{\text{g}}^{2 + }}\) in its compounds, it is possible to use the Born-Haber cycle to investigate the possibility of \({\text{M}}{{\text{g}}^ + }\) being able to form stable compounds.</p>
<p>Use the ionization energy data from part (b), along with the other data provided below, to determine the enthalpy change of formation of MgCl(s). Assume that, because \({\text{M}}{{\text{g}}^ + }\) would be similar in size to \({\text{N}}{{\text{a}}^ + }\), MgCl would have a similar lattice enthalpy to NaCl.</p>
<p> Enthalpy of atomization of Mg \( + 146{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</p>
<p> Bond enthalpy in \({\text{C}}{{\text{l}}_{\text{2}}}\) \( + 243{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</p>
<p> Electron affinity of Cl \( + 349{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</p>
<p> Lattice enthalpy of NaCl \( + 790{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</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>Consider the lattice enthalpies of \({\text{Mg}}{{\text{F}}_{\text{2}}}\), \({\text{MgC}}{{\text{l}}_2}\) and \({\text{CaC}}{{\text{l}}_{\text{2}}}\). List these from the most endothermic to the least endothermic and explain your order.</p>
<p> </p>
<p>\({\text{Most endothermic}} \to {\text{Least endothermic}}\)</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Magnesium hydroxide, \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), is only sparingly soluble in water and the equilibrium below exists when excess solid is in contact with a saturated solution.</p>
<p>\[{\text{Mg(OH}}{{\text{)}}_2}{\text{(s)}} \rightleftharpoons {\text{M}}{{\text{g}}^{2 + }}{\text{(aq)}} + {\text{2O}}{{\text{H}}^ - }{\text{(aq)}}\]</p>
<p>Outline how the solubility of magnesium hydroxide will vary with pH.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Describe the bonding present in magnesium metal.</p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Suggest why magnesium is harder than sodium.</p>
<p> </p>
<p> </p>
<p>(iii) Outline why alloys are generally less malleable than their component metals.</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>(i) Draw a labelled diagram of a suitable apparatus for the electrolysis.</p>
<p> </p>
<p>(ii) State equations for the reactions that take place at the electrodes.</p>
<p> </p>
<p>Negative electrode (cathode) reaction:</p>
<p> </p>
<p>Positive electrode (anode) reaction:</p>
<p> </p>
<p>(iii) When dilute aqueous magnesium chloride is used as the electrolyte, the reactions at both electrodes are different. State equations for the reactions that occur in aqueous solution.</p>
<p> </p>
<p>Negative electrode (cathode) reaction:</p>
<p> </p>
<p>Positive electrode (anode) reaction:</p>
<p> </p>
<p>(iv) Outline why magnesium metal is not produced in the electrolysis of aqueous magnesium chloride.</p>
<div class="marks">[7]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="text-decoration: underline;">minimum</span> energy required to remove one electron / energy required to remove most loosely bound/outermost electron;</p>
<p>from gaseous/isolated atom;</p>
<p><em>Accept “gaseous state”.</em></p>
<p><em>More extensive definitions involving one mole may be given.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) electrons lost in same orbital/valence shell;</p>
<p>(second) electron/electron (being lost from \({\text{M}}{{\text{g}}^ + }\) is) closer to the nucleus;</p>
<p>(second) electron/electron (being lost from \({\text{M}}{{\text{g}}^ + }\)) not subject to e-e repulsion from others in same level;</p>
<p><em>Apply OWTTE for all marking points.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “less electrons to share the charge” or answers employing this concept.</em></p>
<p>(ii) electron in lower energy level / more stable electron shell;</p>
<p>electron closer to nucleus;</p>
<p>less shielding by complete inner shells / increase in effective nuclear charge;</p>
<p><em>Apply OWTTE for all marking points.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {H_{{\text{at}}}}{\text{(Cl)}} = \frac{1}{2} \times 243{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Correct calculation of atomization enthalpy of Cl.</em></p>
<p>\(\Delta {H_{\text{f}}} = + 146 + \frac{1}{2}243 + 738 + ( - 349) + ( - 790)\);</p>
<p><em>Correct sign and magnitude of all terms.</em></p>
<p>\( = - {\text{134 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Final mark involves correct computation of equation the student has produced.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for –12 (bond enthalpy of Cl not halved) or +134 (signs wrong).</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for +12 (bond enthalpy of Cl not halved and signs wrong).</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{Mg}}{{\text{F}}_2}\) –\({\text{MgC}}{{\text{l}}_2}\) –\({\text{CaC}}{{\text{l}}_2}\);</p>
<p>\({{\text{F}}^ - }\) smaller (ionic radius) than \({\text{C}}{{\text{l}}^ - }\) / \({\text{C}}{{\text{l}}^ - }\) larger (ionic radius) than \({{\text{F}}^ - }\);</p>
<p>\({\text{M}}{{\text{g}}^{2 + }}\) smaller (ionic radius) than \({\text{C}}{{\text{a}}^{2 + }}\) / \({\text{C}}{{\text{a}}^{2 + }}\) larger (ionic radius) than \({\text{M}}{{\text{g}}^{2 + }}\);</p>
<p><em>Accept use of atomic radius rather than ionic radius.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>more soluble at low pH / less soluble at high pH;</p>
<p>higher pH / \({\text{O}}{{\text{H}}^ - }\) will shift the equilibrium to the left / lower pH / \({{\text{H}}^ + }\) will (react with \({\text{O}}{{\text{H}}^ - }\) and) shift the equilibrium to the right;</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) <span style="text-decoration: underline;">lattice/layers/framework</span> of cations/magnesium ions/\({\text{M}}{{\text{g}}^{2 + }}\);</p>
<p>surrounded by <span style="text-decoration: underline;">delocalized</span> electrons / in a sea/flux of <span style="text-decoration: underline;">delocalized</span> electrons;</p>
<p><em>Accept “mobile” instead of “delocalized”.</em></p>
<p>(ii) Mg has more delocalized electrons (than Na);</p>
<p><em>Accept “Mg has more valence electrons than Na” / “Mg is Mg</em><sup><em>2+ </em></sup><em>but Na is only Na</em><em><sup>+</sup>”</em><em>.</em></p>
<p>(iii) layers of ions/atoms/particles cannot slide over each other so easily (as different sized ions/atoms/particles) / <em>OWTTE</em>;</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) <img src="images/Schermafbeelding_2016-08-14_om_09.36.50.png" alt="M14/4/CHEMI/HP2/ENG/TZ2/08.g.i/M"></p>
<p><em>Diagram:</em></p>
<p>two electrodes connected to a power pack/battery and immersed in an electrolyte;</p>
<p><em>Do </em><strong><em>not </em></strong><em>award mark if salt bridge included in diagram.</em></p>
<p><em>Labelling:</em></p>
<p>anode/positive electrode, cathode/negative electrode, <span style="text-decoration: underline;">molten</span> magnesium chloride/MgCl<sub>2</sub> (l)/electrolyte correctly labelled;</p>
<p><em>Check candidates know which end of a battery symbol is which charge.</em></p>
<p>(ii) <em>Negative electrode (cathode): </em>\({\text{M}}{{\text{g}}^{2 + }}{\text{(l)}} + {\text{2}}{{\text{e}}^ - } \to {\text{Mg (s)}}\);</p>
<p><em>Positive electrode (anode):</em> \[{\text{2C}}{{\text{l}}^ - }{\text{(l)}} \to {\text{C}}{{\text{l}}_2}{\text{(g)}} + {\text{2}}{{\text{e}}^ - }\];</p>
<p><em>Accept </em>\(C{l^ - }(l) \to \frac{1}{2}C{l_2}(g) + {e^ - }\)<em>.</em></p>
<p><em>Ignore state symbols.</em></p>
<p><em>Allow e instead of e</em><sup><em>–</em></sup><em>.</em></p>
<p><em>If both correct equations are given for the wrong electrodes award </em><strong><em>[1 max]</em></strong><em>.</em></p>
<p>(iii) <em>Negative electrode </em>(<em>cathode):</em></p>
<p>\({\text{2}}{{\text{H}}_2}{\text{O(l)}} + {\text{2}}{{\text{e}}^ - } \to {{\text{H}}_2}{\text{(g)}} + {\text{2O}}{{\text{H}}^ - }{\text{(aq)}}/{\text{2}}{{\text{H}}^ + }{\text{(aq)}} + {\text{2}}{{\text{e}}^ - } \to {{\text{H}}_2}{\text{(g)}}\);</p>
<p><em>Accept </em>\(4{H_2}O(l) + 4{e^ - } \to 2{H_2}(g) + 4O{H^ - }(aq) / 4{H^ + }(aq) + 4{e^ - } \to 2{H_2}(g)\)<em> / </em>\({H_2}O(l) + {e^ - } \to \frac{1}{2}{H_2}(g) + O{H^ - }(aq)/{H^ + }(aq) + {e^ - } \to \frac{1}{2}{H_2}(g)\).</p>
<p><em>Positive electrode (anode):</em></p>
<p>\({\text{2}}{{\text{H}}_2}{\text{O(l)}} \to {{\text{O}}_2}{\text{(g)}} + {\text{4}}{{\text{H}}^ + }{\text{(aq)}} + {\text{4}}{{\text{e}}^ - }/{\text{4O}}{{\text{H}}^ - }{\text{(aq)}} \to {{\text{O}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(l)}} + {\text{4}}{{\text{e}}^ - }\);</p>
<p><em>Accept </em>\({H_2}O(l) \to \frac{1}{2}{O_2}(g) + 2{H^ + }(aq) + 2{e^ - } / 2O{H^ - }(aq) \to \frac{1}{2}{O_2}(g) + {H_2}O(l) + 2{e^ - }\)<em>.</em></p>
<p><em>State symbols not required.</em></p>
<p><em>Allow e instead of e</em><sup><em>–</em></sup><em>.</em></p>
<p><em>If both correct equations are given for the wrong electrodes award </em><strong><em>[1 max]</em></strong><em>.</em></p>
<p>(iv) water/hydrogen ions more easily reduced/better oxidizing agents/have a more positive \({E^\Theta }\) (than magnesium ions);</p>
<p><em>Accept converse statements for magnesium ions.</em></p>
<p><em>Accept “magnesium is very reactive/high in reactivity series” / OWTTE.</em></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was the most popular of the Section B questions, which was surprising because it was often not well answered. Most students were aware of the change involved in ionization, some realised this relates to the most easily lost electron, some that it refers to gas phase changes and a few both. Explanations of the changes in the values of successive ionization energies in terms of the attraction of the nucleus and the repulsion from other electrons were generally weak, however candidates quite often recognised that the third electron lost had to come from a more stable electron energy level. Very few were able to correctly sum the enthalpy terms involved in the Born-Haber cycle, in addition candidates rarely halved the bond enthalpy of chlorine and a significant number appeared not to realise the question referred to MgCl rather than \({\text{MgC}}{{\text{l}}_2}\). There were some G2 comments that space should have been left for students to draw a cycle, but this would have implied that such a drawing was required, hence it is better to train students to use additional paper for any background support they may require. Quite a lot of students correctly deduced the order of lattice enthalpy of the group (II) halides, and a number correctly explained this in terms of ionic radii, though many incorrectly invoked electronegativities. Many students could correctly explain the effect of pH on the solubility of \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\), though a significant number attempted to answer the opposite question; how pH would depend on the concentration of dissolved \({\text{Mg(OH}}{{\text{)}}_{\text{2}}}\)! It was surprising how few students could correctly describe metallic bonding, how it is affected by the number of delocalized electrons per cation and the way it leads to malleability. Alloys are not specifically mentioned in the syllabus but the mark scheme gave credit for answers that indicated the student was aware that malleability is associated with layers of metal atoms/cations sliding over each other. Most students were able to draw appropriately labelled diagrams of electrolysis apparatus, though sometimes the labelling of the polarity of the electrodes did not correspond to the polarity of the battery symbol drawn. Quite a few candidates could quote equations for the reactions occurring the electrodes in both the liquid and aqueous state; both seemed to be equally well answered which was perhaps a little surprisingly. Many could also give good explanations as to why electrolysis of the aqueous solution did not produce magnesium metal, though confusions in terminology (such as hydrogen rather than hydrogen ions being reduced) were not uncommon.</p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p>Buta-1,3-diene can be hydrogenated to produce butane, according to the reaction below.</p>
<p>\[{{\text{C}}_{\text{4}}}{{\text{H}}_{\text{6}}}{\text{(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}} \to {{\text{C}}_{\text{4}}}{{\text{H}}_{{\text{10}}}}{\text{(g)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the conditions necessary for this reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the standard enthalpy change of reaction, \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), at 298 K for the hydrogenation reaction, using Table 11 of the Data Booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard free energy change, \(\Delta {G^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), at 298 K for the hydrogenation reaction, using Table 11 of the Data Booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Determine the standard entropy change of the reaction, \(\Delta {S^\Theta }\), at 298 K, in \({\text{kJ}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), using your answers from (b) and (c).</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Explain why the standard entropy change for the hydrogenation of buta-1,3-diene has a negative sign.</p>
<p> </p>
<p> </p>
<p> </p>
<p>(iii) Predict whether the hydrogenation reaction becomes more or less spontaneous as the temperature increases.</p>
<p> </p>
<p> </p>
<p>(iv) Determine the temperature, in K, at which the spontaneity changes.</p>
<p> </p>
<p> </p>
<p> </p>
<p>(v) Determine the standard entropy, \({S^\Theta }\), for hydrogen in \({\text{J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), using Table 11 of the Data Booklet and your answer for (d)(i).</p>
<div class="marks">[8]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>heat /warm / 140–225 °C;</p>
<p><em>Do not accept high temperature.</em></p>
<p>(finely divided) catalyst / Zn/Cu/Ni/Pd/Pt;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {H^\Theta } = \left( {\Sigma \Delta H_f^\Theta {\text{(products)}} - \Sigma \Delta H_f^\Theta {\text{(reactants)}} = - 127 - (110 + 0) = } \right) - 327{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}});\)</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {G^\Theta } = \left( {\Sigma \Delta G_f^\Theta {\text{(products)}} - \Sigma \Delta G_f^\Theta {\text{(reactants)}} = - 16 - (152 + 0) = } \right) - 168{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}});\)</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \(\Delta {S^\Theta } = \left( {\frac{{\Delta {H^\Theta } - \Delta {G^\Theta }}}{T} = } \right)\frac{{ - 237 - ( - 168)}}{{209}}\);</p>
<p>\( = - 0.232{\text{ (kJ}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for –232 J K</em><em><sup>–1</sup></em><em> mol</em><em><sup>–1</sup></em><em> (units must be given).</em></p>
<p>(ii) 3 mol of gaseous reactants and 1 mol of gaseous products / fewer moles of gas in products;</p>
<p>(iii) spontaneity decreases (as temperature increases because \(T\Delta {S^\Theta }\) becomes a larger negative value/\(\Delta {G^\Theta }\) becomes positive at higher temperatures);</p>
<p>(iv) \(\Delta {G^\Theta } = \Delta {H^\Theta } - T\Delta {S^\Theta } = 0/ - 237 - T( - 0.232) = 0\);</p>
<p>\(T = 1020{\text{ }}(K)\);</p>
<p><em>Remember to allow ECF from 4(d)(i).</em></p>
<p>(v) \(\Delta {S^\Theta } = \Sigma {S^\Theta }{\text{(products)}} - \Sigma {S^\Theta }{\text{(reactants)}}/ - 232 = 310 - (279 + 2{S^\Theta }({H_2}))\);</p>
<p>\({S^\Theta }({H_2}) = \frac{1}{2}(310 - 279 + 232) = 132{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Remember to allow ECF from 4(d)(i).</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>Conditions for the reaction, even though the mark scheme accepted fairly vague answers, were not well known. The calculations of enthalpy, entropy and Gibbs free energy scored well; it was pleasing to note that many realised the importance of conversion of units in part d(v). The link between the changes in temperature and the effect on spontaneity was understood, but many lost credit on part d(ii) for failing to mention the change in the number of gaseous moles. In d(v) most candidates missed the fact that 2 moles of hydrogen were present in the equation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Conditions for the reaction, even though the mark scheme accepted fairly vague answers, were not well known. The calculations of enthalpy, entropy and Gibbs free energy scored well; it was pleasing to note that many realised the importance of conversion of units in part d(v). The link between the changes in temperature and the effect on spontaneity was understood, but many lost credit on part d(ii) for failing to mention the change in the number of gaseous moles. In d(v) most candidates missed the fact that 2 moles of hydrogen were present in the equation.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Conditions for the reaction, even though the mark scheme accepted fairly vague answers, were not well known. The calculations of enthalpy, entropy and Gibbs free energy scored well; it was pleasing to note that many realised the importance of conversion of units in part d(v). The link between the changes in temperature and the effect on spontaneity was understood, but many lost credit on part d(ii) for failing to mention the change in the number of gaseous moles. In d(v) most candidates missed the fact that 2 moles of hydrogen were present in the equation.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Conditions for the reaction, even though the mark scheme accepted fairly vague answers, were not well known. The calculations of enthalpy, entropy and Gibbs free energy scored well; it was pleasing to note that many realised the importance of conversion of units in part d(v). The link between the changes in temperature and the effect on spontaneity was understood, but many lost credit on part d(ii) for failing to mention the change in the number of gaseous moles. In d(v) most candidates missed the fact that 2 moles of hydrogen were present in the equation.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The Born-Haber cycle for MgO under standard conditions is shown below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-02_om_15.47.42.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/07.a_1"></p>
<p class="p1">The values are shown in the table below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-02_om_15.48.28.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/07.a_2"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Identify the processes represented by <strong>A</strong>, <strong>B </strong>and <strong>D </strong>in the cycle.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the enthalpy change, <strong>F</strong>.</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">Determine the value of the enthalpy change, <strong>E</strong>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the enthalpy change <strong>C </strong>for the first value. Explain why the second value is significantly larger than the first.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The inter-ionic distance between the ions in NaF is very similar to that between the ions in MgO. Suggest with a reason, which compound has the higher lattice enthalpy value.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The standard enthalpy change of three combustion reactions is given below in kJ.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{\text{2}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}}{\text{(g)}} + {\text{7}}{{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{4C}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {\text{6}}{{\text{H}}_{\text{2}}}{\text{O(l)}}}&{\Delta {H^\Theta } = - 3120} \\ {{\text{2}}{{\text{H}}_2}({\text{g)}} + {{\text{O}}_2}{\text{(g)}} \to {\text{2}}{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - {\text{572}}} \\ {{{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}} \to {\text{2C}}{{\text{O}}_2}{\text{(g)}} + 2{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - {\text{1411}}} \end{array}\]</p>
<p class="p1">Based on the above information, calculate the standard change in enthalpy, \(\Delta {H^\Theta }\), for the following reaction.</p>
<p class="p1">\[{{\text{C}}_2}{{\text{H}}_6}({\text{g)}} \to {{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {{\text{H}}_2}{\text{(g)}}\]</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Predict, stating a reason, whether the sign of \({\Delta {S^\Theta }}\) for the above reaction would be positive or negative.</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">Discuss why the above reaction is non-spontaneous at low temperature but becomes spontaneous at high temperatures.</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">Using bond enthalpy values, calculate \(\Delta {H^\Theta }\) for the following reaction.</p>
<p class="p1">\[{{\text{C}}_2}{{\text{H}}_6}({\text{g)}} \to {{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {{\text{H}}_2}{\text{(g)}}\]</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">Suggest with a reason, why the values obtained in parts (b) (i) and (b) (iv) are different.</p>
<div class="marks">[1]</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"><strong>A: </strong>sublimation/atomization;</p>
<p class="p1"><strong>B: </strong>atomization/half dissociation enthalpy;</p>
<p class="p1"><strong>D: </strong>(sum of 1<sup><span class="s1">st </span></sup>and 2<sup><span class="s1">nd</span></sup>) electron affinity;</p>
<p class="p1"><em>Do not accept vaporization for A and B.</em></p>
<p class="p1"><em>Accept </em>\(\Delta {H_{AT}}\)\( \cdot \)<em> or </em>\(\Delta {H_{EA}}\)<span class="s1"><em>.</em></span></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">enthalpy change when one mole of the compound is formed from its elements (in their standard states);</p>
<p class="p1">under standard conditions / 25 °C/298 K <strong>and </strong>1 atm/\({\text{101.3 kPa/1.01}} \times {\text{105 Pa}}\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\( - 602 = 150 + 248 + 2186 + 702 + E\);</p>
<p class="p1">\( - {\text{3888 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Do not allow 3889 (given in data booklet).</em></p>
<p class="p1"><em>Allow 3888 (i.e no minus sign).</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">energy required to remove one electron;</p>
<p class="p1">from an atom in its <span style="text-decoration: underline;">gaseous</span> state;</p>
<p class="p1">electron removed from a positive ion;</p>
<p class="p1">decrease in electron-electron repulsion / increase in nucleus-electron attraction;</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">MgO;</p>
<p class="p1">double ionic charge / both ions carry +2 and –2 charge/greater charge compared to +1 and –1;</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\[\begin{array}{*{20}{l}} {\left( {{{\text{C}}_2}{{\text{H}}_6}{\text{(g)}} + {\text{3}}\frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {\text{2C}}{{\text{O}}_2}{\text{(g)}} + {\text{3}}{{\text{H}}_2}{\text{O(l)}}} \right)}&{\Delta {H^\Theta } = - {\text{1560;}}} \\ {\left( {{{\text{H}}_2}{\text{O(l)}} \to {{\text{H}}_2}{\text{(g)}} + \frac{1}{2}{{\text{O}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{286;}}} \\ {\left( {{\text{2C}}{{\text{O}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(l)}} \to {{\text{C}}_2}{{\text{H}}_4}{\text{(g)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{1411;}}} \\ {\left( {{{\text{C}}_2}{{\text{H}}_6}{\text{(g)}} \to {{\text{C}}_2}{{\text{H}}_4}{\text{(g)}} + {{\text{H}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{137 (kJ);}}} \end{array}\]</p>
<p class="p1"><em>Allow other correct methods.</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for –137.</em></p>
<p class="p1"><em>Allow ECF for the final marking point.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">positive;</p>
<p class="p1">increase in number of moles of <span style="text-decoration: underline;">gas</span>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">at low temperature, \({\Delta {H^\Theta }}\) is positive <strong>and</strong> \({\Delta G}\) is positive;</p>
<p class="p1">at high temperature, factor \({\text{T}}\Delta {S^\Theta }\) predominates <strong>and </strong>\({\Delta G}\) is negative;</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Bonds broken (1C–C, 6C–H, or 1C–C, 2C–H) = 2825/1173;</p>
<p class="p1">Bonds made (1C=C, 1H–H, 4C–H) = 2700/1048;</p>
<p class="p1">+125 (kJ);</p>
<p class="p2"><em>Allow 125 but not –125 (kJ ) for the final mark.</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">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">bond enthalpy values are average values;</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 second most popular question and in general candidates demonstrated a good understanding of the Born Haber cycle. Some candidates identified the process A as vaporization instead of atomization.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates correctly stated the definition of enthalpy change of formation although some omitted to specify the standard conditions.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The majority of candidates correctly calculated the lattice enthalpy value.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definition of the first ionization energy was stated correctly by most candidates but in a few cases the term gaseous state was missing.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The compound with higher lattice enthalpy was correctly identified including the reason.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The majority of candidates manipulated the thermo-chemical equations and calculated the correct answer of +137 kJ although some reversed the sign.</p>
<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;">
<p class="p1">The explanation for why the reaction was non-spontaneous at low temperature but became spontaneous at high temperature was not always precise and deprived many candidates of at least one mark.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The bond enthalpy calculation had the usual mistakes of using the wrong value from the data booklet, bond making minus bond breaking and –125 kJ instead of +125 kJ.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Lattice enthalpies can be determined experimentally using a Born–Haber cycle and theoretically using calculations based on electrostatic principles.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The experimental lattice enthalpies of the chlorides of lithium, LiCl, sodium, NaCl, potassium, KCl, and rubidium, RbCl, are given in Table 13 of the Data Booklet. Explain the trend in the values.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain why magnesium chloride, \({\text{MgC}}{{\text{l}}_{\text{2}}}\), has a much greater lattice enthalpy than sodium chloride, NaCl.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) Identify the process labelled <strong>a </strong>on the Born–Haber cycle for the determination of the standard enthalpy of formation of lithium fluoride, LiF.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-01_om_08.09.06.png" alt="M12/4/CHEMI/HP2/ENG/TZ2/03.c"></p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>The enthalpy change for process <strong>a </strong>is \( + 159{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Calculate the standard enthalpy of formation of lithium fluoride, LiF, using this and other values from the Data Booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">radius of the metal/positive ion/cation increases;</p>
<p class="p1">attraction (between ions) is weaker;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">higher charge (on cation);</p>
<p class="p1">smaller radius (of cation);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) (standard enthalpy of) atomization/\(\Delta H_{{\text{atomization}}}^\Theta \) / (standard enthalpy of) sublimation/\(\Delta H_{{\text{sublimation}}}^\Theta \);</p>
<p>(ii) \(\begin{array}{*{20}{l}} {{\text{lattice enthalpy}} = + 1049{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}&{{\text{(Data Booklet Table 13)}}} \\ {{\text{bond enthalpy F}}--{\text{F}} = + 158{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}&{{\text{(Data Booklet Table 10)}}} \\ {{\text{first ionization energy (Li)}} = + 520{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}&{{\text{(Data Booklet Table 7)}}} \\ {\Delta H_{{\text{electron affinity}}}^\Theta {\text{(F)}} = - 328{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}&{{\text{(Data Booklet Table 7)}}} \\ {\Delta H_{{\text{atomization}}}^\Theta {\text{ of Li}} = + 159{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}&{{\text{(given)}}} \end{array}\)</p>
<p>\(\Delta H_{\text{f}}^\Theta = + 159 + \frac{1}{2}(158) + 520 + ( - 328) - (1049)\);</p>
<p>\( = - 619{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p><em>Accept use of theoretical value of lattice enthalpy, +1030 kJ mol<sup>–1</sup>:</em></p>
<p>\(\Delta H_{\text{f}}^\Theta = + \)<em>159</em> \( + \frac{1}{2}\)<em>(158)</em> \( + \) <em>520</em> \( + \) <em>(–328) – (1030)</em></p>
<p class="p1"><em>= –600 kJ</em>\(\,\)<em>mol</em><sup><span class="s1">–1</span></sup></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Many candidates had difficulty correctly explaining the trends in lattice enthalpy values in (a), referring to atomic radii or the attraction between the metal nucleus and valence or bonding electrons, and giving explanations that sounded like descriptions of first ionization energy or covalent bonding.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (b) most candidates scored one mark for stating that the Mg ion has a greater charge than Na ion. Few also mentioned that the size of the Mg ion is less than the Na ion.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates correctly identified sublimation or atomization of Li in (c)(i). Vaporization was the most common error. In (c)(ii), many candidates forgot to divide the bond enthalpy of fluorine by 2. Some had difficulty finding the enthalpy of atomization of fluorine in the Data Booklet, and some obtained all the correct values but did not put the correct signs on the values when using Hess‘s Law.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Phosphoryl chloride, \({\text{POC}}{{\text{l}}_{\text{3}}}\), is a dehydrating agent.</p>
</div>
<div class="specification">
<p class="p1">\({\text{POC}}{{\text{l}}_{\text{3}}}\left( {\text{g}} \right)\) decomposes according to the following equation.</p>
<p class="p1">\[{\text{2POC}}{{\text{l}}_3}{\text{(g)}} \to {\text{2PC}}{{\text{l}}_3}{\text{(g)}} + {{\text{O}}_2}{\text{(g)}}\]</p>
</div>
<div class="specification">
<p class="p1">POCl<sub><span class="s1">3 </span></sub>can be prepared by the reaction of phosphorus pentachloride, PCl<sub><span class="s1">5 </span></sub>, with tetraphosphorus decaoxide, P<sub><span class="s1">4</span></sub>O<sub><span class="s1">10</span></sub>.</p>
</div>
<div class="specification">
<p class="p1">PCl<sub><span class="s1">3 </span></sub>and Cl<sup>–</sup><span class="s1"> </span>can act as ligands in transition metal complexes such as Ni(PCl<sub><span class="s1">3</span></sub>)<sub><span class="s1">4 </span></sub>and [Cr(H<sub><span class="s1">2</span></sub>O)<sub><span class="s1">3</span></sub>Cl<sub><span class="s1">3</span></sub>].</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Predict and explain the sign of the entropy change, \(\Delta S\), 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 class="p1">Calculate the standard entropy change for the reaction, \(\Delta {S^\Theta }\), in \({\text{J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), using the data below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-16_om_07.31.10.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.a.ii"></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>standard enthalpy change of formation</em>, \(\Delta H_{\text{f}}^\Theta \).</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">Calculate the standard enthalpy change for the reaction, \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using the data below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-16_om_07.42.10.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.a.iv"></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the standard free energy change for the reaction, \(\Delta {G^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), at 298 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the temperature, in K, at which the reaction becomes spontaneous.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the Lewis (electron dot) structure of POCl<sub><span class="s1">3 </span></sub>(with P as the central element) and PCl<sub><span class="s1">3 </span></sub>and predict the shape of each molecule, using the valence shell electron pair repulsion theory (VSEPR).</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State and explain the Cl–P–Cl bond angle in PCl<sub><span class="s1">3</span></sub>.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the Lewis (electron dot) structure of PCl<sub><span class="s1">5</span></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 class="p1">Predict the shape of this molecule, using the valence shell electron pair repulsion theory (VSEPR).</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 class="p1">Identify all the different bond angles in PCl<sub><span class="s1">5</span></sub>.</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">PCl<sub><span class="s1">3</span></sub>Br<sub><span class="s1">2 </span></sub>has the same molecular shape as PCl<sub><span class="s1">5</span></sub>. Draw the three isomers of PCl<sub><span class="s1">3</span></sub>Br<sub><span class="s1">2 </span></sub>and deduce whether each isomer is polar or non-polar.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>ligand</em>.</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 class="p1">Explain why the complex [Cr(H<sub><span class="s1">2</span></sub>O)<sub><span class="s1">3</span></sub>Cl<sub><span class="s1">3</span></sub>] is coloured.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">2 mol (g) going to 3 mol (g)/increase in number of particles, therefore entropy increases/\(\Delta S\) positive / <em>OWTTE</em>;</p>
<p class="p1"><em>Accept if numbers of moles of gas are given below the equation.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {S^\Theta } = [(2)(311.7) + (205.0)] - (2)(325.0) = } \right)( + )178.4{\text{ }}({\text{J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">heat/enthalpy change/required/absorbed when <span style="text-decoration: underline;">1</span> <span style="text-decoration: underline;">mol</span> of a compound is formed from its elements in their standard states/at 100 kPa/10<sup><span class="s1">5 </span></sup>Pa/1 bar;</p>
<p class="p1"><em>Allow 1.01 </em>\( \times \) <em>10</em><sup><span class="s2"><em>5 </em></span></sup><em>Pa</em>/<em>101 kPa</em>/<em>1 atm.</em></p>
<p class="p1"><em>Allow under standard conditions or standard temperature and pressure.</em></p>
<p class="p1"><em>Temperatures not required in definition, allow if quoted (for example, </em><em>298 K/ 25 °C</em><span class="s3"> </span><em>– most common) but pressure value must be correct if stated.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {H^\Theta } = [(2)( - 288.1)] - [(2)( - 542.2)]) = } \right)( + )508.2{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {G^\Theta } = \Delta {H^\Theta } - T\Delta {S^\Theta } = (508.2) - (298)\left( {\frac{{178.4}}{{1000}}} \right) = } \right){\text{ ( + )}}455.0{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T > \left( {\frac{{\Delta {H^\Theta }}}{{\Delta {S^\Theta }}} = \frac{{508.2}}{{\left( {\frac{{178.4}}{{1000}}} \right)}} = } \right){\text{ }}2849{\text{ (K)}}/2576\) (°C);</p>
<p class="p1"><em>Allow temperatures in the range 2848–2855 K.</em></p>
<p class="p1"><em>Accept T </em>= <em>2849(K) .</em></p>
<p class="p1"><em>No ECF for temperatures T in the range 0–100 K.</em></p>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.00.07.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.b.i/M"></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">allow any bond angle in the range 100° to less than 109° (experimental value is100°);</p>
<p class="p1">due to four negative charge centres/four electron pairs/four electron domains (one of which is a lone pair)/tetrahedral arrangement of electron pairs/domains;</p>
<p class="p1">extra repulsion due to lone pair electrons / lone pairs occupy more space (than bonding pairs) so Cl–P–Cl bond angle decreases from 109.5° / <em>OWTTE</em>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.06.45.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.c.i/M"> ;</p>
<p class="p1"><em>Allow any combination of dots/crosses or lines to represent electron pairs.</em></p>
<p class="p1"><em>Do not penalise missing lone pairs on Cl if already penalised in (b)(i).</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">trigonal/triangular bipyramidal;</p>
<p class="p1"><em>Do not allow ECF from Lewis structures with incorrect number of </em><em>negative charge centres.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">120°<span class="s1"> </span><strong>and </strong>90°/180°;</p>
<p class="p1"><em>Ignore other bond angles such as 240°</em><span class="s1"> </span><em>and 360°</em><em>.</em></p>
<p class="p1"><em>Apply list principle if some correct and incorrect angles given.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.15.17.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.c.iv/M"></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct structure </em><strong><em>and </em></strong><em>molecular polarity.</em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for correct representations of all three isomers.</em></p>
<p class="p1"><em>Lone pairs not required.</em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">species with lone/non-bonding pair (of electrons);</p>
<p class="p1">which bonds to metal ion (in complex) / which forms dative (covalent)/coordinate bond to metal ion (in complex);</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">unpaired electrons in d orbitals / d sub-level partially occupied;</p>
<p class="p1">d orbitals split (into two sets of different energies);</p>
<p class="p1">frequencies of (visible) light absorbed by electrons moving from lower to higher d levels;</p>
<p class="p1">colour due to remaining frequencies / complementary colour transmitted;</p>
<p class="p1"><em>Allow wavelength as well as frequency.</em></p>
<p class="p1"><em>Do not accept colour emitted.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">d.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>In December 2010, researchers in Sweden announced the synthesis of N,N–dinitronitramide, \({\text{N(N}}{{\text{O}}_{\text{2}}}{{\text{)}}_{\text{3}}}\). They speculated that this compound, more commonly called trinitramide, may have significant potential as an environmentally friendly rocket fuel oxidant.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Methanol reacts with trinitramide to form nitrogen, carbon dioxide and water. Deduce the coefficients required to balance the equation for this reaction.</p>
<p style="text-align: center;">___ \({\text{N(N}}{{\text{O}}_2}{{\text{)}}_3}{\text{(g)}} + \) ___ \({\text{C}}{{\text{H}}_3}{\text{OH(l)}} \to \) ___ \({{\text{N}}_2}{\text{(g)}} + \) ___ \({\text{C}}{{\text{O}}_2}{\text{(g)}} + \) ___ \({{\text{H}}_2}{\text{O(l)}}\)</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the enthalpy change, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), when one mole of trinitramide decomposes to its elements, using bond enthalpy data from Table 10 of the Data Booklet. Assume that all the N–O bonds in this molecule have a bond enthalpy of \({\text{305 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</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>The entropy change, \(\Delta S\), for the decomposition of trinitramide has been estimated as \( + 700{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\). Comment on the sign of \(\Delta S\).</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>Using \( + 700{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\) as the value for the entropy change, along with your answer to part (c), calculate \(\Delta G\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for this reaction at 300 K. (If you did not obtain an answer for part (c), then use the value \( - 1000{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), but this is not the correct value.)</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain how changing the temperature will affect whether or not the decomposition of trinitramide is spontaneous.</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>Outline how the length of the N–N bond in trinitramide compares with the N–N bond in nitrogen gas, \({{\text{N}}_{\text{2}}}\).</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>Deduce the N–N–N bond angle in trinitramide and explain your reasoning.</p>
<div class="marks">[3]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, with an explanation, the polarity of the trinitramide molecule.</p>
<div class="marks">[2]</div>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\underline {{\text{ (1) }}} {\text{N(N}}{{\text{O}}_2}{{\text{)}}_3}{\text{(g)}} + \underline {{\text{ 2 }}} {\text{C}}{{\text{H}}_3}{\text{OH(l)}} \to \underline {{\text{ 2 }}} {{\text{N}}_2}{\text{(g)}} + \underline {{\text{ 2 }}} {\text{C}}{{\text{O}}_2}{\text{(g)}} + \underline {{\text{ 4 }}} {{\text{H}}_2}{\text{O(l)}}\);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>bonds broken: </em>\((6 \times 305) + (3 \times 158) = 1830 + 474 = 2304{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>bonds made:</em> \((2 \times 945) + (3 \times 498) = 1890 + 1494 = 3384{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>enthalpy change:</em> \(2304 - 3384 = - 1080{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</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 +1080 (kJ mol<sup>–1</sup>)</em>.</p>
<p><em>Accept –234 kJ mol<sup>–1</sup></em> <em>which arise from students assuming that 305 kJ mol<sup>–1</sup></em> <em>refers to the strength of a single N–O bond. Students may then take N=O from the data book value (587 kJ mol<sup>–1</sup>).</em></p>
<p><em>bonds broken: (3 </em>\( \times \)<em> 305) </em>+ <em>(3 </em>\( \times \)<em> 587) </em>+ <em>(3 </em>\( \times \)<em> 158) = </em><em>915</em> + <em>1761 + 474</em> = <em>3150 (kJ mol<sup>–1</sup>)</em></p>
<p><em>bonds made: (2 </em>\( \times \)<em> 945) </em>+ <em>(3 </em>\( \times \)<em> 498) </em>= <em>1890</em> + <em>1494</em> = <em>3384(kJ mol<sup>–1</sup>)</em></p>
<p><em>enthalpy change: 3150</em> – <em>3384 = –234(kJ mol<sup>–1</sup>).</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for correct calculation of the enthalpy change of reaction for the equation in part (a), which gives –2160 (kJ mol<sup>–1</sup>).</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>if the final answer is not –2160 but the candidate has correctly calculated the bonds broken in trinitramide as 2304 (kJ mol<sup>–1</sup>).</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>increase in the number of moles of gas;</p>
<p>gases have a greater entropy/degree of randomness (than liquids or solids);</p>
<p><em>Award <strong>[1 max]</strong> for answers stating that positive value indicates an increase in disorder/randomness.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G = \Delta H - T \times \Delta S\);</p>
<p>\( = - 1080 - 300 \times \frac{{700}}{{1000}}\);</p>
<p>\( - 1290{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</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 incorrect conversions of units.</em></p>
<p><em>If no answer to part (c), using </em>\(\Delta H\)<em> = –1000 kJ mol<sup>–1</sup>, gives –1020 (kJ mol<sup>–1</sup>).</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no change in spontaneity / temp has no effect on spontaneity / spontaneous at all temperatures;</p>
<p>\(\Delta G\) negative at all temperatures / exothermic/\(\Delta H\) negative <strong>and</strong> involves an increase in entropy/\(\Delta S\) positive;</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(N–N bond in) trinitramide is longer/nitrogen (gas) is shorter / 0.145 nm in trinitramide versus 0.110 nm in nitrogen;</p>
<p>trinitramide has single (N–N) bond <strong>and </strong>nitrogen (gas) has triple bond;</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>106° – 108°;</p>
<p><em>Accept < 109°.</em></p>
<p><em>Any two for <strong>[2 max]</strong>.</em></p>
<p>4 (negative) charge centres/electron pairs/electron domains around central nitrogen;</p>
<p><span style="text-decoration: underline;">central</span> nitrogen has a lone/non-bonding pair;</p>
<p>lone/non-bonding pairs repel more than bonding pairs;</p>
<p>molecule will be (trigonal/triangular) pyramidal;</p>
<p>(negative) charge centres/electron pairs/electron domains will be tetrahedrally arranged/orientated/ have tetrahedral geometry;</p>
<p><em>Do not apply ECF.</em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>polar;</p>
<p>net dipole moment present in molecule / unsymmetrical distribution of charge / polar bonds do not cancel out / centre of negatively charged oxygen atoms does not coincide with positively charged nitrogen atom;</p>
<p><em>Marks may also be awarded for a suitably presented diagram showing net dipole moment.</em></p>
<p><em>Do not accept “unsymmetrical molecule”.</em></p>
<p><em>Apply ECF from part (h).</em></p>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">i.</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">Methanol is made in large quantities as it is used in the production of polymers and in fuels. The enthalpy of combustion of methanol can be determined theoretically or experimentally.</p>
<p class="p1">\[{\text{C}}{{\text{H}}_3}{\text{OH(l)}} + {\text{1}}\frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {\text{C}}{{\text{O}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(g)}}\]</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-21_om_11.49.46.png" alt="M11/4/CHEMI/HP2/ENG/TZ1/01"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the \(\Delta {S^\Theta }\) for the combustion of methanol.</p>
<p class="p1">\[{\text{C}}{{\text{H}}_3}{\text{OH(l)}} + {\text{1}}\frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {\text{C}}{{\text{O}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(g)}}\]</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">Using the enthalpy of combustion for methanol from Table 12 of the Data Booklet and the \(\Delta {S^\Theta }\) determined in part (d), calculate the standard free energy change for the combustion of methanol.</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain whether changing the temperature will alter the spontaneity of the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {S^\Theta }\left( { = \sum {S_{{\text{products}}}^\Theta } - \sum {S_{{\text{reactants}}}^\Theta } } \right) = 2 \times 189 + 214 - (240 + 1.5 \times 205)\);</p>
<p>\( = 44.5{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}/0.0445{\text{ kJ}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\)</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Do not award M2 if M1 incorrect.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>temperature of 298 K;</p>
<p>\(\Delta G_{\text{c}}^\Theta = {\text{(}}\Delta H_{\text{c}}^\Theta - T\Delta S_{\text{c}}^\Theta = ) - 726 - 298 \times 44.5 \times {10^{ - 3}}{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/\)</p>
<p>\( = - 726\,000 - 298 \times 44.5{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p>\( = - 739{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}/ - 7.39 \times {10^5}{\text{ J}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta G_{\text{c}}^\Theta \) is always negative <strong>and </strong>temperature won’t alter spontaneity of reaction;</p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">(d) caused difficulties for candidates with the multiplication factor for the oxygen and the correct units were frequently omitted which caused problems then subsequently in part (e).</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (e), problems of units were widespread.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(f) usually was well done by the better candidates. One G2 comment also stated that it would have been better if the experimental value would have been closer to the expected value.</p>
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="specification">
<p>The table lists the standard enthalpies of formation, \(\Delta H_{\text{f}}^\Theta \), for some of the species in the reaction above.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2018-08-10_om_08.21.04.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/04.b"></p>
</div>
<div class="specification">
<p>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hydrogen gas can be formed industrially by the reaction of natural gas with steam.</p>
<p>Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā CH<sub>4</sub>(g) + H<sub>2</sub>O(g) ā 3H<sub>2</sub>(g) + CO(g)</p>
<p>Determine the enthalpy change, Ī<em>H, </em>for the reaction, in kJ, using section 11 of theĀ data booklet.</p>
<p>Bond enthalpy for Cā”O: 1077 kJ mol<sup>ā1</sup></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why no value is listed for H<sub>2</sub>(g).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the value of Ī<em>H</em><sup>Ī</sup>, in kJ, for the reaction using the values in the table.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The table lists standard entropy, <em>S</em><sup>Ī</sup>, values.</p>
<p><img src="images/Schermafbeelding_2018-08-08_om_15.07.35.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/05.c"></p>
<p>Calculate the standard entropy change for the reaction, Ī<em>S</em><sup>Ī</sup>, in J K<sup>ā1</sup>.</p>
<p>CH<sub>4</sub>(g) + H<sub>2</sub>O(g) ā 3H<sub>2</sub>(g) + CO(g)</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard free energy change, Ī<em>G</em><sup>Ī</sup>, in kJ, for the reaction at 298 K usingĀ your answer to (b)(ii).</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the temperature, in K, above which the reaction becomes spontaneous.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>bonds broken:</em>Ā 4(CāH) +Ā 2(HāO)/4(414) +Ā 2(463)/2582 <strong>Ā«</strong>kJ<strong>Ā»</strong></p>
<p><em>bonds made: </em>3(HāH) +Ā Cā”O/3(436) +Ā 1077/2385 <strong>Ā«</strong>kJ<strong>Ā»</strong></p>
<p>Ī<em>H </em><strong>Ā«</strong>= Ī£BE<sub>(bonds broken)</sub>Ā ā Ī£BE<sub>(bonds made)</sub>Ā = 2582 āĀ 2385<strong>Ā» =</strong>Ā <strong>Ā«</strong>+<strong>Ā» </strong>197 <strong>Ā«</strong>kJ<strong>Ā»</strong></p>
<p>Ā </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 ā197 </em><strong><em>Ā«</em></strong><em>kJ</em><strong><em>Ā»</em></strong><em>.</em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H_{\text{f}}^\Theta \) for any element =Ā 0 <strong>Ā«</strong>by definition<strong>Ā»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>no energy required to form an element <strong>Ā«</strong>in its stable form<strong>Ā» </strong>from itself</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>ĪH</em><sup>Ī</sup>Ā <strong>Ā« =</strong> \(\sum {\Delta H_{\text{f}}^\Theta } \)<sub>(products)</sub>Ā ā \(\sum {\Delta H_{\text{f}}^\Theta } \)<sub>(reactants)</sub>Ā =Ā ā111 +Ā 0 āĀ [ā74.0 +Ā (ā242)]<strong>Ā»</strong></p>
<p>=Ā <strong>Ā«</strong>+<strong>Ā» </strong>205 <strong>Ā«</strong>kJ<strong>Ā»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>Ī<em>S</em><sup>Ī</sup>Ā = Ī£<em>S</em><sup>Ī</sup><sub>products</sub> ā Ī£<em>S</em><sup>Ī</sup><sub>reactants</sub>Ā = 198 +Ā 3 Ć 131 ā (186 +Ā 189) =<strong>Ā» Ā«</strong>+<strong>Ā» </strong>216 <strong>Ā«</strong>J K<sup>ā1</sup><strong>Ā»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>Ī<em>G</em><sup>Ī</sup> =Ā Ī<em>H</em><sup>Ī</sup>Ā ā TĪ<em>S</em><sup>Ī</sup>Ā = 205 kJ āĀ 298 K Ć \(\frac{{216}}{{1000}}\)Ā kJ K<sup>ā1</sup>Ā =<strong>Ā» Ā«</strong>+<strong>Ā» </strong>141 <strong>Ā«</strong>kJ<strong>Ā»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>Ī<em>H</em><sup>Ī</sup>Ā = TĪ<em>S</em><sup>Ī</sup><strong>Ā»</strong></p>
<p><strong>Ā«</strong>\({\text{T}} = \frac{{\Delta {H^\Theta }}}{{\Delta {S^\Theta }}} = \frac{{205000{\text{ J}}}}{{216{\text{ J }}{{\text{K}}^{ - 1}}}}\)<strong>Ā»</strong></p>
<p><strong>Ā«</strong>T =<strong>Ā» </strong>949 <strong>Ā«</strong>K<strong>Ā»</strong></p>
<p>Ā </p>
<p><em>Do </em><strong><em>not </em></strong><em>award a mark for negative valueĀ </em><em>of T.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p 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 reaction.</p>
<p class="p1">\[{\text{2C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}} + {{\text{H}}_{\text{2}}}{\text{(g)}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}}{\text{(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(g)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The standard enthalpy change of formation for \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}}\) at 298 K is \( - 201{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) and for \({{\text{H}}_{\text{2}}}{\text{O(g)}}\) is \( - 242{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Using information from Table 11 of the Data Booklet, determine the enthalpy change for this reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The standard entropy for \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}}\) at 298 K is \({\text{238 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) is \({\text{131 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\) and for \({{\text{H}}_{\text{2}}}{\text{O(g)}}\) is \({\text{189 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\). Using information from Table 11 of the Data Booklet, determine the entropy change for this 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">Calculate the standard change in free energy, at 298 K, for the reaction and deduce whether the reaction is spontaneous or non-spontaneous.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H_{{\text{reaction}}}^\Theta = \Sigma \Delta H_{\text{f}}^\Theta {\text{(products)}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{(reactants)}}\)</p>
<p>\( = [(1)( - 85) + (2)( - 242)] - [(2)( - 201)]\);</p>
<p>\( = - 167{\text{ (kJ/kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for (+)167.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta S_{{\text{reaction}}}^\Theta = \Sigma {S^\Theta }{\text{(products)}} - \Sigma {S^\Theta }{\text{(reactants)}}\)</p>
<p>\( = [(1)(230) + (2)(189)] - [(2)(238) + (1)(131)]\);</p>
<p>\( = 1{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{/J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G_{{\text{reaction}}}^\Theta = (\Delta {H^\Theta } - T\Delta {S^\Theta }) = ( - 167) - (298)(0.001)\);</p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for correct substitution of values.</em></p>
<p>\( = - 167{\text{ kJ/}} - 167000{\text{ J}}\);</p>
<p class="p1"><em>Units needed for mark in (c) only.</em></p>
<p class="p1"><em>Accept –167 kJ</em>\(\,\)<em>mol</em><sup><span class="s1"><em>–1 </em></span></sup><em>or –167000 J</em>\(\,\)<em>mol</em><sup><span class="s1"><em>–1</em></span></sup><em>. </em></p>
<p class="p1">spontaneous;</p>
<p class="p1"><em>Award marks for final correct answers throughout in each of (a), (b) and (c).</em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (a) the most common mistakes included: failure to consider the correct amount of moles of products/reactants, incorrect identification of values or wrong use of convention. It also should be noted that the correct units of \(\Delta {H^\Theta }\) here in the answer will be kJ, since \(n\) is used in the equation, as explained in previous subject reports.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (b) was another question where the vast majority of candidates scored full marks.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Free energy calculations (c) continues to prove problematic for many candidates. Candidates very often lost the first mark due to wrong use of units. ECF allowed them to score the second. In contrast most candidates showed a clear understanding of the relationship between the sign of \(\Delta {G^\Theta }\) and spontaneity.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Consider the reaction:</p>
<p class="p1">\[{\text{CuS(s)}} + {{\text{H}}_2}{\text{(g)}} \to {\text{Cu(s)}} + {{\text{H}}_2}{\text{S(g)}}\]</p>
<p class="p1">Given:</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-02_om_18.30.58.png" alt="N11/4/CHEMI/HP2/ENG/TZ0/05.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce and explain the sign of the entropy change for the following reaction.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(l)}}\]</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest why the \(\Delta H_{\text{f}}^\Theta \) values for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) and Cu(s) are not given in the table.</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">Determine the standard enthalpy change at 298 K for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the standard free energy change at 298 K for the reaction. Deduce whether or not the reaction is spontaneous at this temperature.</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 standard entropy change at 298 K for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Estimate the temperature, in K, at which the standard change in free energy equals zero. You should assume that the values of the standard enthalpy and entropy changes are not affected by the change in temperature.</p>
<div class="marks">[1]</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">negative;</p>
<p class="p1"><span style="text-decoration: underline;">liquid</span> more ordered than <span style="text-decoration: underline;">gaseous</span> phase or <em>vice-versa </em>/ <em>OWTTE</em>;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="s1">\(\Delta H_{\text{f}}^\Theta \) </span>of an element (in its most stable state) is zero (since formation of an element from itself is not a reaction) / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not allow an answer such as because they are elements.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {H^\Theta }( = (1)( - 20.6) - (1)( - 53.1)) = 32.5{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/32500{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 32.5 (kJ) or 3.25 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>4 </em></span></sup><em>(J)</em>.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {G^\Theta }( = (1)( - 33.6) - (1)( - 53.6)) = 20.0{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/20000{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 20.0 (kJ) or 2.00 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>4 </em></span></sup><em>(J)</em>.</p>
<p class="p1">non-spontaneous;</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {S^\Theta }( = (\Delta {H^\Theta } - \Delta {G^\Theta })/T = (32.5 - 20.0)(1000)/298) = 41.9{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/\)</p>
<p class="p1">\(4.19 \times {10^{ - 2}}{\text{ (kJ}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 41.9 (J</em>\(\,\)<em>K</em><sup><span class="s1"><em>–1</em></span></sup><em>) or 4.19 </em>\( \times \)<em> 10</em><span class="s1"><em>–2 </em></span><em>(kJ</em>\(\,\)<em>K</em><sup><span class="s1"><em>–1</em></span></sup><em>)</em>.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T{\text{ }}\left( { = \Delta H/\Delta S = (32.5 \times 1000)/(41.9)} \right) = 776{\text{ (K)}}\);</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">The negative nature of the change gained a mark, but the explanations sometimes lacked clarity and states often were not referred to.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), often there was no mention of element.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Draw the Lewis structures, state the shape and predict the bond angles for the following species.</p>
</div>
<div class="specification">
<p class="p1">Consider the following Born-Haber cycle:</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-14_om_07.05.32.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.b"></p>
<p class="p1">The magnitudes for each of the enthalpy changes (<strong>a </strong>to <strong>e</strong>) are given in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but their signs (+ or –) have been omitted.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>\({\text{PC}}{{\text{l}}_{\text{3}}}\)</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>\({\text{NH}}_2^ - \)</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>\({\text{Xe}}{{\text{F}}_{\text{4}}}\)</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the names for the enthalpy changes <strong>c </strong>and <strong>d</strong>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce which <strong>two </strong>of the enthalpy changes <strong>a </strong>to <strong>e </strong>have negative signs.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the value for the enthalpy of formation of potassium bromide.</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">Explain why the quantitative value for the lattice enthalpy of calcium bromide is larger than the value for the lattice enthalpy of potassium bromide.</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">Compare the formation of a sigma \((\sigma )\) and a pi \((\pi )\) bond between two carbon atoms in a molecule.</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">Identify how many sigma and pi bonds are present in propene, \({{\text{C}}_{\text{3}}}{{\text{H}}_{\text{6}}}\).</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">Deduce all the bond angles present in propene.</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 class="p1">Explain how the concept of hybridization can be used to explain the bonding in the triple bond present in propyne.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2016-10-14_om_09.12.53.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.i/M"> ;</p>
<p class="p1">trigonal pyramid;</p>
<p class="p1">in the range of 100–108°;</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-14_om_09.19.10.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.ii/M"> ;</p>
<p class="p1"><em>Must include minus sign for the mark. </em></p>
<p class="p1">bent/V–shaped;</p>
<p class="p1">in the range of 100–106°;</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2016-10-14_om_09.22.20.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.iii/M"> ;</p>
<p class="p1">square planar;</p>
<p class="p1">90°;</p>
<p class="p1"><em>Penalize once only if electron pairs are missed off outer atoms.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><strong>c</strong>: atomization (enthalpy);</p>
<p class="p3"><strong>d</strong>: electron affinity;</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><strong>d </strong>and <strong>e</strong>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {H_{\text{f}}} = 90.0 + 418 + 112 + (-342) + ( - 670)\);</p>
<p class="p1">\( =<span class="Apple-converted-space"> </span>- 392{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{a}}^{2 + }}\) is smaller than \({{\text{K}}^ + }\) <strong>and</strong> \({\text{C}}{{\text{a}}^{2 + }}\) has more charge than \({{\text{K}}^ + }\) / \({\text{C}}{{\text{a}}^{2 + }}\) has a greater charge density;</p>
<p class="p1">so the attractive forces between the ions are stronger;</p>
<p class="p1"><em>Do not accept ‘stronger ionic bonds’ </em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>if reference is made to atoms or molecules instead of ions.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sigma bonds are formed by end on/axial overlap of orbitals with electron density between the two atoms/nuclei;</p>
<p class="p1">pi bonds are formed by sideways overlap of parallel p orbitals with electron density above <strong>and </strong>below internuclear axis/\(\sigma \) bond;</p>
<p class="p1"><em>Accept suitably annotated diagrams</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">8 sigma/\(\sigma \) ;</p>
<p class="p1">1 pi/\(\pi \) ;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">109°/109.5°;</p>
<p class="p1">120°;</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sp hybridization;</p>
<p class="p1">1 sigma and 2 pi;</p>
<p class="p2">sigma bond formed by overlap between the two sp hybrid orbitals (on each of the two carbon atoms) / pi bonds formed by overlap between remaining p orbitals (on each of the two carbon atoms) / diagram showing 2 sp hybrid orbitals and 2 p orbitals;</p>
<div class="question_part_label">c.iv.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) many candidates incorrectly identified the process converting liquid bromine molecules to gaseous bromine atoms as vaporization.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Deducing the enthalpy changes with negative signs proved challenging for many although, with follow through marks credit was earned for the calculation of the enthalpy of formation of potassium bromide.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some teachers commented on the G2 forms that the energy cycle diagram was strange, however, the stages of the Born-Haber cycle were clearly given and candidates should be familiar with those.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Very few candidates could explain why calcium bromide has a larger lattice enthalpy than potassium bromide. Many referred to atoms instead of ions, and tried to answer this in terms of the electronegativity of the metals.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.iv.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The electron configuration of chromium can be expressed as \({\text{[Ar]4}}{{\text{s}}^{\text{x}}}{\text{3}}{{\text{d}}^{\text{y}}}\).</p>
</div>
<div class="specification">
<p class="p1">Hydrogen and nitrogen(II) oxide react according to the following equation.</p>
<p class="p1">\[2{{\text{H}}_2}{\text{(g)}} + {\text{2NO(g)}} \rightleftharpoons {{\text{N}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(g)}}\]</p>
<p class="p1">At time <span class="s1">= \(t\)</span> seconds, the rate of the reaction is</p>
<p class="p1">\[{\text{rate}} = k{\text{[}}{{\text{H}}_2}{\text{(g)][NO(g)}}{{\text{]}}^2}\]</p>
</div>
<div class="specification">
<p class="p1">When concentrated hydrochloric acid is added to a solution containing hydrated copper(II) ions, the colour of the solution changes from light blue to green. The equation for the reaction is:</p>
<p>\[{{\text{[Cu(}}{{\text{H}}_2}{\text{O}}{{\text{)}}_6}{\text{]}}^{2 + }}{\text{(aq)}} + {\text{4C}}{{\text{l}}^ - }{\text{(aq)}} \to {{\text{[CuC}}{{\text{l}}_4}{\text{]}}^{2 - }}{\text{(aq)}} + {\text{6}}{{\text{H}}_2}{\text{O(l)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain what the square brackets around argon, [Ar], represent.</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">State the values of \(x\) and \(y\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Annotate the diagram below showing the 4s and 3d orbitals for a chromium atom using an arrow, <img src="images/Schermafbeelding_2016-10-27_om_08.08.15.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/03.a.iii_1"> and <img src="images/Schermafbeelding_2016-10-27_om_08.09.21.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/03.a.iii_2">, to represent a spinning electron.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-27_om_08.10.12.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/03.a.iii_3"></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">Explain precisely what the square brackets around nitrogen(II) oxide, [NO(g)], represent in this context.</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">Deduce the units for the rate constant \(k\).</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">Explain what the square brackets around the copper containing species represent.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain why the \({{\text{[Cu(}}{{\text{H}}_{\text{2}}}{\text{O}}{{\text{)}}_{\text{6}}}{\text{]}}^{2 + }}\) ion is coloured and why the \({{\text{[CuC}}{{\text{l}}_{\text{4}}}{\text{]}}^{2 - }}\) ion has a different colour.</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">Some words used in chemistry can have a specific meaning which is different to their meaning in everyday English.</p>
<p class="p1">State what the term <em>spontaneous </em>means when used in a chemistry context.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">the electron configuration (of argon) / \({\text{1}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{p}}^{\text{6}}}{\text{3}}{{\text{s}}^{\text{2}}}{\text{3}}{{\text{p}}^{\text{6}}}\);</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(x = 1\) <strong>and </strong>\(y = 5\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-27_om_08.11.01.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/03.a.iii/M"></p>
<p class="p1"><em>Accept all six arrows pointing down rather than up.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">the concentration (of nitrogen(II) oxide);</p>
<p class="p1"><em>Award </em><strong><em>[0] </em></strong><em>if reference made to equilibrium.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{mo}}{{\text{l}}^{ - 2}}{\text{d}}{{\text{m}}^{\text{6}}}{{\text{s}}^{ - 1}}/{\text{d}}{{\text{m}}^{\text{6}}}{\text{mo}}{{\text{l}}^{ - 2}}{{\text{s}}^{ - 1}}\);</p>
<p class="p1"><em>Accept (mol</em><sup><span class="s1"><em>–1 </em></span></sup><em>dm</em><sup><span class="s1"><em>3</em></span></sup><em>)</em><span class="s1"><em>2</em></span><em>s</em><sup><span class="s1"><em>–1</em></span></sup><em>.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">complex (ion) / the charge is delocalized over all that is contained in the brackets;</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">colour is due to energy being absorbed when electrons are promoted within the split d orbitals;</p>
<p class="p1">the colour observed is the complementary colour to the energy absorbed / <em>OWTTE</em>;</p>
<p class="p1"><em>Accept either answer for first mark.</em></p>
<p class="p1">changing the ligand / coordination number / geometry changes the amount the d orbitals are split/energy difference between the d orbitals / <em>OWTTE</em>;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">the reaction gives out (Gibbs Free) energy that can do work;</p>
<p class="p1">\(\Delta G\) for the reaction has a negative value;</p>
<p class="p1">a reaction that occurs without adding energy (beyond that required to overcome energy barrier);</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">Most candidates were familiar with the use of square brackets to represent noble gas electron configurations and concentrations in rate expressions and it was encouraging to see candidates give a correct orbital diagram with the d electrons unpaired.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">A significant number of students were unaware of the exceptional nature of the electron configuration for chromium.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">A significant number of students were unaware of the exceptional nature of the electron configuration for chromium, but were able to gain the mark in (a) (iii) with ecf.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The understanding of the use of square bracket to represent complex ions was limited.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Many candidates omitted the \({{\text{s}}^{ - 1}}\) in the units for the rate constant.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(c) (ii) proved to be more challenging with many candidates mixing up sub-shells with orbitals and absorption with emission spectra.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Many candidates were familiar with the use of the term <em>spontaneous </em>when used in a chemical context<em>. </em></p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Hydrazine, N<sub><span class="s1">2</span></sub>H<sub><span class="s1">4</span></sub>, is a valuable rocket fuel.</p>
</div>
<div class="specification">
<p class="p1">The equation for the reaction between hydrazine and oxygen is given below.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{l)}} + {{\text{O}}_2}({\text{g)}} \to {{\text{N}}_2}({\text{g)}} + 2{{\text{H}}_2}{\text{O(l)}}\]</p>
</div>
<div class="specification">
<p class="p1">The reaction between \({{\text{N}}_2}{{\text{H}}_4}({\text{aq)}}\) and \({\text{HCl(aq)}}\) can be represented by the following equation.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{aq)}} + 2{\text{HCl(aq)}} \to {{\text{N}}_2}{\text{H}}_6^{2 + }({\text{aq)}} + 2{\text{C}}{{\text{l}}^ - }({\text{aq)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Draw the Lewis (electron dot) structure for N<sub><span class="s1">2</span></sub>H<sub><span class="s1">4 </span></sub>showing all valence electrons.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>State and explain the H–N–H bond angle in hydrazine.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Hydrazine and ethene, C<sub><span class="s1">2</span></sub>H<sub><span class="s1">4</span></sub>, are hydrides of adjacent elements in the periodic table. The boiling point of hydrazine is much higher than that of ethene. Explain this difference in terms of the intermolecular forces in each compound.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>The enthalpy change of formation, \(\Delta H_{\text{f}}^\Theta \), of liquid hydrazine is \({\text{50.6 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Use this value, together with data from Table 12 of the Data Booklet, to calculate the enthalpy change for this reaction.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Use the bond enthalpy values from Table 10 of the Data Booklet to determine the enthalpy change for this reaction.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Identify the calculation that produces the most accurate value for the enthalpy change for the reaction given and explain your choice.</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>Calculate \(\Delta {S^\Theta }\) for the reaction using the data below and comment on its magnitude.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-26_om_09.01.06.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/07.c"></p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>Calculate \(\Delta {G^\Theta }\) for the reaction at 298 K.</p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>Predict, giving a reason, the spontaneity of the reaction above at both high and low temperatures.</p>
<div class="marks">[16]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The reaction between \({{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(aq)}}\) and HCl(aq) can be represented by the following equation.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{aq)}} + 2{\text{HCl(aq)}} \to {{\text{N}}_2}{\text{H}}_6^{2 + }({\text{aq)}} + 2{\text{C}}{{\text{l}}^ - }({\text{aq)}}\]</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>Identify the type of reaction that occurs.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Predict the value of the H–N–H bond angle in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Suggest the type of hybridization shown by the nitrogen atoms in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</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"> <img src="images/Schermafbeelding_2016-09-26_om_08.49.44.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/07.a/M"></span>;</p>
<p class="p1"><em>Accept x’s, dots or lines for electron pairs</em></p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>H–N–H \( < \) 109 / any angle between 104° and 109°;</p>
<p class="p1">due to four centres of electron charge / four electron pairs (one of which is a lone \({{\text{e}}^ - }\) pair);</p>
<p class="p1">extra repulsion due to lone electron pairs;</p>
<p class="p1"><em>Do not allow ECF for wrong Lewis structures.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">weaker van der Waals’/London/dispersion/intermolecular forces in ethene;</p>
<p class="p1">stronger (intermolecular) hydrogen bonding in hydrazine;</p>
<p class="p1"><em>If no comparison between strengths then </em><strong><em>[1 max]</em></strong>.</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>\(\Delta H_{\text{r}}^\Theta = \Sigma \Delta H_{\text{f}}^\Theta {\text{ products}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{ reactants}}\);</p>
<p class="p1"><em>Can be implied by working</em>.</p>
<p class="p1">\(\Delta H_{\text{f}}^\Theta {\text{(}}{{\text{H}}_2}{\text{O(l))}} = - 286{\text{ (kJ)}}\);</p>
<p class="p1">\(\Delta H_{\text{r}}^\Theta = 2( - 286) - 50.6 = - 622.6{\text{ (kJ)}}\);</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>bonds broken: 4N–H, N–N, O=O / \( + {\text{2220 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">bonds formed: N\(\equiv\)N, 4O-H / \( - 2801{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">\( - 581{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer</em>.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>value based on \(\Delta {H_{\text{f}}}\) more accurate;</p>
<p class="p1">\(\Delta {H_{\text{f}}}\) accurate for compounds in reaction;</p>
<p class="p1">bond energy calculation assumes average bond energies;</p>
<p class="p1">(bond energy calculation) only applies to gaseous states / ignores intermolecular bonds;</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>\(\Delta {S^\Theta } = \Sigma {S^\Theta }{\text{ (products)}} - \Sigma {S^\Theta }{\text{ (reactants)}}\);</p>
<p class="p1"><em>Can be implied by working</em>.</p>
<p class="p1">\( = 191 + (2 \times 69.9) - 205 - 121 = + 4.8{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">small value since number of mol of g on both sides the same;</p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>\(\Delta {G^\Theta } = - 622.6 - 298(0.0048)\);</p>
<p class="p1">\( = - 624.0{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 623.9 to 624.1</em>.</p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>all reactions are spontaneous;</p>
<p class="p1">\(\Delta G\) is negative (at high temperatures and low temperatures);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>acid-base/neutralization;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>109°/109.5°;</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>sp<sup>3</sup>;</p>
<p class="p1"><em>No ECF if bond angle incorrect in (ii).</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 Lewis structure for hydrazine proved to be difficult for some in (a). Incorrect answers had double bonds appearing between the two nitrogen atoms or lone pairs missing. Those who could draw the correct structure in (i) gave the correct bond angle, but the explanation was often incomplete. Few mentioned either the four electron domains around the central atom or the extra repulsion of the lone pair.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) most candidates knew that hydrogen bonding was present in hydrazine and Van der Waalsā forces in ethene but failed to give a comparison of the relative strength of the intermolecular forces.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some candidates struggled to calculate the enthalpy changes from enthalpy changes of formation in (c) (i) as they were unable to relate the enthalpy change of combustion of hydrogen to the enthalpy change of formation of water.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The bond energy and entropy calculations were more successful with many candidates benefitting from ECF from their incorrect Lewis structures in (a). It was encouraging to see many correct unit conversions for the calculation of \(\Delta G\). A number of candidates incorrectly described the combination of hydrazine and hydrochloric acid as a redox reaction, but many were able to identify the bond angle and hybridization in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, reacts with thionyl chloride, SOCl<sub>2</sub>, according to the reaction below.</p>
<p style="text-align: center;">HOCH<sub>2</sub>CH<sub>2</sub>OH (l) + 2SOCl<sub>2</sub> (l) → ClCH<sub>2</sub>CH<sub>2</sub>Cl (l) + 2SO<sub>2</sub> (g) + 2HCl (g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard enthalpy change for this reaction using the following data.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change for this reaction using the following data.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The standard free energy change, Δ<em>G</em><sup>θ</sup>, for the above reaction is –103 kJ mol<sup>–1</sup> at 298 K.</p>
<p>Suggest why Δ<em>G</em><sup>θ</sup> has a large negative value considering the sign of Δ<em>H</em><sup>θ</sup> in part (a).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em><sup>θ</sup> = [–165.2 + 2(–296.9) + 2(–92.3)] – [–454.7 + 2(–245.7)]</p>
<p>«Δ<em>H</em><sup>θ </sup>= +»2.5 «kJ»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1]</strong> for –2.5 «kJ».</em></p>
<p><em>Do <strong>not</strong> accept ECF for M2 if more than one error in M1.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S</em><sup>θ </sup>= [208.5 + 2(248.1) + 2(186.8)] – [166.9 + 2(278.6)]»</p>
<p>«Δ<em>S</em><sup>θ </sup>= +» 354.2 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«3 moles of» liquid to «4 moles of» gas</p>
<p><em><strong>OR</strong></em></p>
<p>«large» positive Δ<em>S</em></p>
<p><em><strong>OR</strong></em></p>
<p>«large» increase in entropy</p>
<p><em>T</em>Δ<em>S</em> > Δ<em>H</em> «at the reaction temperature»</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>The Bombardier beetle sprays a mixture of hydroquinone and hydrogen peroxide to fight off predators. The reaction equation to produce the spray can be written as:</p>
<table style="width: 388.667px; margin-left: 120px;">
<tbody>
<tr>
<td style="width: 211px;">C<sub>6</sub>H<sub>4</sub>(OH)<sub>2</sub>(aq) + H<sub>2</sub>O<sub>2</sub>(aq)</td>
<td style="width: 18px;">→</td>
<td style="width: 195.667px;">C<sub>6</sub>H<sub>4</sub>O<sub>2</sub>(aq) + 2H<sub>2</sub>O(l)</td>
</tr>
<tr>
<td style="width: 211px;">hydroquinone</td>
<td style="width: 18px;"> </td>
<td style="width: 195.667px;">quinone</td>
</tr>
</tbody>
</table>
<p style="text-align: center; padding-left: 120px;"><br> </p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hydrogenation of propene produces propane. Calculate the standard entropy change, Δ<em>S<sup> </sup></em><sup>θ</sup>, for the hydrogenation of propene.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The standard enthalpy change, Δ<em>H </em><sup>θ</sup>, for the hydrogenation of propene is –124.4 kJ mol<sup>–1</sup>. Predict the temperature above which the hydrogenation reaction is not spontaneous.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S<sup> </sup></em><sup>θ</sup> =» 270 «J K<sup>–1</sup> mol<sup>–1</sup>» – 267 «J K<sup>–1</sup> mol<sup>–1</sup>» – 131 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<p>«Δ<em>S<sup> </sup></em><sup>θ</sup> =» –128 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«non spontaneous if» Δ<em>G </em><sup>θ</sup> = Δ<em>H </em><sup>θ</sup> – <em>T</em>Δ<em>S </em><sup>θ</sup> > 0<br><em><strong>OR</strong></em><br>Δ<em>H </em><sup>θ</sup> > <em>T</em>Δ<em>S </em><sup>θ</sup></p>
<p>«<em>T</em> above» \(\frac{{ - 124.4{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\gg }}{{ - 0.128{\text{ }}\ll {\text{kJ}}\,{{\text{K}}^{ - 1}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\gg }} = \)» 972 «K»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept 699 °C.</em></p>
<p><em>Do not award M2 for any negative T value.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Millerite, a nickel sulfide mineral, is an important source of nickel. The first step in extracting nickel is to roast the ore in air.</p>
</div>
<div class="specification">
<p>The reaction for the formation of liquid tetracarbonylnickel is shown below:</p>
<p style="text-align: left;">\[{\text{Ni(s)}} + 4{\text{CO(g)}} \to {\text{Ni(CO}}{{\text{)}}_4}{\text{(l)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate an equation for the oxidation of nickel(II) sulfide to nickel(II) oxide.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The nickel obtained from another ore, nickeliferous limonite, is contaminated with iron. Both nickel and iron react with carbon monoxide gas to form gaseous complexes, tetracarbonylnickel, \({\text{Ni(CO}}{{\text{)}}_{\text{4}}}{\text{(g)}}\), and pentacarbonyliron, \({\text{Fe(CO}}{{\text{)}}_{\text{5}}}{\text{(g)}}\). Suggest why the nickel can be separated from the iron successfully using carbon monoxide.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change, \(\Delta {S^\theta }\), of the reaction, in \({\text{J}}\,{{\text{K}}^{ - 1}}\), using the values given.</p>
<p style="text-align: center;"><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate a value for \(\Delta {H^\theta }\) in kJ.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use your answers to (c)(i) and (c)(ii), to determine the temperature, in °C, at which the decomposition of liquid tetracarbonylnickel to nickel and carbon monoxide becomes favourable.</p>
<p><br>(If you did not get answers to (c)(i) and (c)(ii), use \( - 500{\text{ J}}\,{{\text{K}}^{ - 1}}\) and \( - 200{\text{ kJ}}\) respectively but these are not the correct answers.)</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why experiments involving tetracarbonylnickel are very hazardous.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({\text{2NiS(s)}} + {\text{3}}{{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{2NiO(s)}} + {\text{2S}}{{\text{O}}_{\text{2}}}{\text{(g)}}\)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>formation of «gaseous» pentacarbonyliron is slower<br><em><strong>OR</strong></em><br>«gaseous» complexes form at different rates<br><em><strong>OR</strong></em><br>gases have different rates of diffusion «due to difference in masses»<br><em><strong>OR</strong></em><br>difference in thermal stability of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in boiling points of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in solubility of «gaseous» complexes<br><em><strong>OR</strong></em><br>difference in surface affinity «onto solid absorbent»<br><em><strong>OR</strong></em><br>difference in chemical properties of «gaseous» complexes</p>
<p> </p>
<p><em>Accept any other valid answer.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\sum {S_{{\text{RHS}}}^\theta = 313.4{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } \)<br><em><strong>AND</strong></em><br>\(\sum {S_{{\text{LHS}}}^\theta = \ll (4 \times 197.6) + 29.9{\text{ J}}\,{{\text{K}}^{ - 1}} = \gg {\text{ }}820.3{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } \)</p>
<p>\(\Delta {S^\theta }\ll = \sum {S_{{\text{RHS}}}^\theta - \sum {S_{{\text{LHS}}}^\theta = } {\text{ }}313.4 - 820.3\gg = - 506.9{\text{ }}\ll {\text{J}}\,{{\text{K}}^{ - 1}}\gg } \)</p>
<p> </p>
<p><em>Award [2] for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {H^\theta }\ll = - 633.0 - 4 \times ( - 110.5)\gg = - 191{\text{ }}\ll kJ\gg \)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«when» \(\Delta G = 0\) «forward and backward reactions are equally favourable»</p>
<p>«when \(\Delta G = 0\), \({\text{T}} = \frac{{\Delta H}}{{\Delta S}}\)», \({\text{T}} = \ll \frac{{191{\text{ kJ}}}}{{0.5069{\text{ kJ}}\,{{\text{K}}^{ - 1}}}} = \gg {\text{ }}377{\text{ }}\ll {\text{K}}\gg \)</p>
<p>«temperature =» 104 «°C»</p>
<p> </p>
<p><em>Award [3] for correct final answer. Use of –500 J K<sup>–1</sup> and –200 kJ gives 127 °C.</em></p>
<p><em>Award [2 max] for T < 104 «°C».</em></p>
<p><em>Accept ΔG < 0 and T > 104 «°C».</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CO is toxic/poisonous<br><em><strong>OR</strong></em><br>Ni(CO)<sub>4</sub> decomposition deposits nickel in the lungs<br><em><strong>OR</strong></em><br>tetracarbonylnickel is toxic/poisonous<br><em><strong>OR</strong></em><br>tetracarbonylnickel is highly flammable «auto-ignition temperature of 60 °C»</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>This question is about ethene, C<sub>2</sub>H<sub>4</sub>, and ethyne, C<sub>2</sub>H<sub>2</sub>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethyne, like ethene, undergoes hydrogenation to form ethane. State the conditions required.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the formation of polyethene from ethene by drawing three repeating units of the polymer.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethyne reacts with chlorine in a similar way to ethene. Formulate equations for the following reactions.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Ā </p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Under certain conditions, ethyne can be converted to benzene.</p>
<p>Determine the standard enthalpy change, Ī<em>H</em><sup>Ī</sup><em>, </em>for the reaction stated, using section 11 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) ā C<sub>6</sub>H<sub>6</sub>(g)</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the standard enthalpy change, Ī<em>H</em><sup>Ī</sup><em>, </em>for the following similar reaction, using Ī<em>H</em><sub>f</sub> values in section 12 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) ā C<sub>6</sub>H<sub>6</sub>(l)</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain, giving two reasons, the difference in the values for (c)(i) and (ii). If you did not obtain answers, use ā475 kJ for (i) and ā600 kJ for (ii).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change, Ī<em>S</em><sup>Ī</sup>, in J K<sup>ā1</sup>, for the reaction in (ii) using section 12 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine, showing your working, the spontaneity of the reaction in (ii) at 25 Ā°C.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One possible Lewis structure for benzene is shown.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_14.31.21.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.d"></p>
<p>State one piece of physical evidence that this structure is <strong>incorrect</strong>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>nickel/Ni <strong>Ā«</strong>catalyst<strong>Ā»</strong></p>
<p>Ā </p>
<p>high pressure</p>
<p><strong><em>OR</em></strong></p>
<p>heat</p>
<p>Ā </p>
<p><em>Accept these other catalysts: Pt, Pd, Ir,Ā </em><em>Rh, Co, Ti.</em></p>
<p><em>Accept āhigh temperatureā or a statedĀ </em><em>temperature such as ā150 </em><em>Ā°</em><em>Cā.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-07_om_13.51.15.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.a.ii/M"></p>
<p>Ā </p>
<p><em>Ignore square brackets and ānā.</em></p>
<p><em>Connecting line at end of carbons mustĀ </em><em>be shown.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>ethyne:</em> C<sub>2</sub>H<sub>2</sub> +Ā Cl<sub>2</sub> āĀ CHClCHCl</p>
<p><em>benzene:</em> C<sub>6</sub>H<sub>6</sub> +Ā Cl<sub>2</sub> āĀ C<sub>6</sub>H<sub>5</sub>Cl +Ā HCl</p>
<p>Ā </p>
<p><em>Accept āC</em><sub><em>2</em></sub><em>H</em><sub><em>2</em></sub><em>Cl</em><sub><em>2</em></sub><em>ā.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Ī<em>H</em><sup>Ī</sup> =Ā bonds broken ā bonds formed</p>
<p><strong>Ā«</strong>Ī<em>H</em><sup>Ī</sup>Ā =Ā 3(Cā”C) āĀ 6(C<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAANCAYAAACgu+4kAAAAUklEQVQ4EWP8////fwYKABMFesFaB9qAfwwUuuAdA4uKgiJKMNx5cJ+BWDGGf28YGCmKhX83KPQCkwgDo7K8AlnpAORVBoZ/FHqBgYFCLwwKAwBbdR/JDJ9lrwAAAABJRU5ErkJggg==">C)<sub>benzene</sub> / 3 \( \times \)Ā 839 āĀ 6 \( \times \)Ā 507 / 2517 āĀ 3042 =<strong>Ā»</strong>Ā ā525 <strong>Ā«</strong>kJ<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 ā+525 </em><strong><em>Ā«</em></strong><em>kJ</em><strong><em>Ā»</em></strong><em>ā.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for:</em></p>
<p><strong><em>Ā«</em></strong><em>Ī</em><em>H<sup>Ī</sup></em><em>Ā =</em><em>Ā </em><em>3(Cā”</em><em>C) ā</em><em>Ā </em><em>3(C</em><em>ā</em><em>C) ā</em><em>Ā </em><em>3(C</em><em>=</em><em>C) /Ā </em><em>3 \( \times \)</em><em>Ā </em><em>839 ā</em><em>Ā </em><em>3 \( \times \)</em><em>Ā </em><em>346 ā</em><em>Ā </em><em>3 \( \times \)</em><em>Ā </em><em>614 / 2517Ā </em><em>āĀ </em><em>2880 </em><em>=</em><strong><em>Ā» </em></strong><em>ā</em><em>363 </em><strong><em>Ā«</em></strong><em>kJ</em><strong><em>Ā»</em></strong><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Ī<em>H</em><sup>Ī</sup> = Ī£Ī<em>H</em><sub>f</sub> (products) ā Ī£Ī<em>H</em><sub>f</sub> (reactants)</p>
<p><strong>Ā«</strong>Ī<em>H</em><sup>Ī</sup>Ā = 49 kJ āĀ 3 \( \times \)Ā 228 kJ =<strong>Ā»</strong> ā635 <strong>Ā«</strong>kJ<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 ā+635 </em><strong><em>Ā«</em></strong><em>kJ</em><strong><em>Ā»</em></strong><em>ā.</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>Ī<em>H</em><sub>f</sub> values are specific to the compound</p>
<p><strong><em>OR</em></strong></p>
<p>bond enthalpy values are averages <strong>Ā«</strong>from many different compounds<strong>Ā»</strong></p>
<p>Ā </p>
<p>condensation from gas to liquid is exothermic</p>
<p>Ā </p>
<p><em>Accept ābenzene is in two differentĀ </em><em>states </em><strong><em>Ā«</em></strong><em>one liquid the other gas</em><strong><em>Ā»</em></strong><em>āĀ </em><em>for M2.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>Ā«</strong>Ī<em>S</em><sup>Ī</sup>Ā =Ā 173 āĀ 3 \( \times \)Ā 201 =<strong>Ā»</strong> ā430<strong> Ā«</strong>J K<sup>ā1</sup><strong>Ā»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>T =Ā <strong>Ā«</strong>25 +Ā 273 =<strong>Ā» </strong>298 <strong>Ā«</strong>K<strong>Ā»</strong></p>
<p>Ī<em>G</em><sup>Ļ“</sup> <strong>Ā«</strong>=Ā ā635 kJ āĀ 298 K Ć (ā0.430 kJ K<sup>ā1</sup>)<strong>Ā» </strong>=Ā ā507 kJ</p>
<p>Ī<em>G</em><sup>Ļ“</sup>Ā < 0 <strong><em>AND </em></strong>spontaneous</p>
<p>Ā </p>
<p><em>ĪG</em><sup><em>Ļ“ </em></sup><em>< 0 may be inferred from theĀ </em><em>calculation.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>equal CāC bond <strong>Ā«</strong>lengths/strengths<strong>Ā»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>regular hexagon</p>
<p><strong><em>OR</em></strong></p>
<p><strong>Ā«</strong>all<strong>Ā» </strong>CāC have bond order of 1.5</p>
<p><strong><em>OR</em></strong></p>
<p><strong>Ā«</strong>all<strong>Ā» </strong>CāC intermediate between single and double bonds</p>
<p>Ā </p>
<p><em>Accept āall C</em><em>ā</em><em>C</em><em>ā</em><em>C bond angles areĀ </em><em>equalā.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Vanadium has a number of different oxidation states.</p>
</div>
<div class="specification">
<p>Electrode potentials for the reactions of vanadium and other species are shown below.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the oxidation state of vanadium in each of the following species.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_09.58.14.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/03.a"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify, from the table, a non-vanadium species that can reduce VO<sup>2+</sup>(aq) to V<sup>3+</sup>(aq) but no further.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify, from the table, a non-vanadium species that could convert \({\text{VO}}_2^ + {\text{(aq)}}\) to V<sup>2+</sup>(aq).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate an equation for the reaction between VO<sup>2+</sup>(aq) and V<sup>2+</sup>(aq) in acidic solution to form V<sup>3+</sup>(aq).</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Comment on the spontaneity of this reaction by calculating a value for \(\Delta {G^\theta }\) using the data given in (b) and in section 1 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({V_2}{O_5}:{\text{ }} + 5\)<br>\(V{O^{2 + }}:{\text{ }} + 4\)</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>penalize incorrect notation twice.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>H<sub>2</sub>SO<sub>3</sub>(aq)<br><em><strong>OR</strong></em><br>Pb(s)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Zn(s)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{V}}{{\text{O}}^{2 + }}({\text{aq)}} + {{\text{V}}^{2 + }}({\text{aq)}} + {\text{2}}{{\text{H}}^ + }({\text{aq)}} \to {\text{2}}{{\text{V}}^{3 + }}({\text{aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}}\)</p>
<p> </p>
<p><em>Accept equilibrium sign.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({E^\theta }\ll = + 0.34{\text{ V}} - ( - 0.26{\text{ V}})\gg = + 0.60{\text{ }}\ll {\text{V}}\gg \)</p>
<p>\(\Delta {G^\theta } = \ll - nF{E^\theta } = - 9.65 \times {10^4}{\text{ C}}\,{\text{mo}}{{\text{l}}^{ - 1}} \times 0.60{\text{ J}}\,{{\text{C}}^{ - 1}} = \gg - 57\,900{\text{ }}\ll {\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg / - 57.9{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg \)</p>
<p>spontaneous as \(\Delta {G^\theta }\) is negative</p>
<p> </p>
<p><em>Do <strong>not</strong> award M3 as a stand-alone answer.</em></p>
<p><em>Accept “spontaneous” for M3 if answer given for M2 is negative.</em></p>
<p><em>Accept “spontaneous as </em>\({E^\theta }\)<em> is positive” for M3.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>The reaction between ethene and steam is used in the industrial production of ethanol.</p>
<p>\[{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(g)}} + {{\text{H}}_{\text{2}}}{\text{O(g)}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{OH(g)}}\]</p>
<p>The enthalpy change of the reaction can be calculated either by using average bond enthalpies or by using standard enthalpies of formation.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the enthalpy change of the reaction, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using the average bond enthalpies in Table 10 of the Data Booklet.</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>(i) Define the term <em>standard enthalpy change of formation</em>.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Determine the enthalpy change of the reaction, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), between ethene and steam using the enthalpy change of formation values given below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-21_om_12.30.39.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/02.b.ii"></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>Comment on which of the values obtained in (a) and (b)(ii) is more accurate, giving a reason.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the sign of the entropy change of the reaction, \(\Delta S\), giving a reason.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(bonds broken) C=C and O–H / 612 + 464 / 1076;</p>
<p>(bonds formed) C–C and C–H and C–O / 347 + 413 + 358 / 1118;</p>
<p><strong>OR</strong></p>
<p>(bonds broken) C=C and two O–H and four C–H / 612 + 4(413) + 2(464) / 3192;</p>
<p>(bonds formed) C–C and five C–H and C–O and O–H / 347 + 5(413) + 358 + 464 / 3234;</p>
<p><em>Ignore signs (+ and –) in M1 and M2. These two marks are awarded for recognizing the correct bonds</em>.</p>
<p>enthalpy change \( = - 42{\text{ (kJ)}}\);</p>
<p><em>Correct sign is necessary for awarding M3.</em></p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for the correct final answer.</em></p>
<p><em>Do not penalize candidates using the former Data Booklet bond energy values (348, 412 and 463) (final answer will then be –45(kJ)).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) heat/enthalpy change when 1 mol of a compound/substance is formed;</p>
<p>from its elements in their standard states/at \({\text{100 kPa/1}}{{\text{0}}^{\text{5}}}{\text{ Pa}}\);</p>
<p><em>Allow 1.01 </em>\( \times \)<em> 10<sup>5</sup> Pa</em>/<em>101 kPa</em>/<em>1 atm </em><em>as an alternative to 100 kPa/10<sup>5</sup></em> <em>Pa.</em></p>
<p><em>Allow under standard conditions or standard ambient temperature and pressure as an alternative to 100 kPa/10<sup>5</sup></em> <em>Pa.</em></p>
<p><em>Allow “energy needed/absorbed” as an alternative to “heat/enthalpy change”.</em></p>
<p><em>Temperature is not required in definition, allow if quoted (eg, 298 K / 25 °C).</em></p>
<p>(ii) \(( - 235) - (52 - 242)/\Delta H = \Sigma \Delta H_{\text{f}}^\Theta {\text{(products)}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{(reactants)}}\);</p>
<p>ļ–45 (kJ);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for +45 or 45.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>value in (b)(ii) (is more accurate) as values used in (a) are average values / value in (b)(ii) (is more accurate) as exact bond enthalpy depends on the surroundings of the bond / <em>OWTTE</em>;</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>negative <strong>and </strong>fewer number of moles/molecules (of gas);</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>More than half of the candidates identified the correct types and numbers of bonds, and many calculated the enthalpy change of reaction correctly gaining full marks. Common mistakes included reversing the signs of bonds broken and bonds formed, and using incorrect types or numbers of bonds, and arithmetic errors.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) Less than half of the candidates answered the question correctly. Some were not specific in the definition of the standard enthalpy change of formation, while others had totally incorrect answers such as the formation of the compound from gaseous atoms.</p>
<p>(ii) The majority of candidates calculated the enthalpy change correctly. Some candidates made arithmetic errors.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>More than half of the candidates referred to bond enthalpies being average values that lead to a less accurate calculated value of the enthalpy change.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Tin(II) chloride is a white solid that is commonly used as a reducing agent.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) State why you would expect tin(II) chloride to have a similar lattice enthalpy to strontium chloride, using section 9 of the data booklet.</p>
<p>(ii) Calculate the molar enthalpy change when strontium chloride is dissolved in water, using sections 18 and 20 of the data booklet.</p>
<p>(iii) Tin(II) chloride reacts with water to precipitate the insoluble basic chloride, Sn(OH)Cl.</p>
<p><img 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" alt></p>
<p>Suggest why tin(II) chloride is usually dissolved in dilute hydrochloric acid.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Tin can also exist in the +4 oxidation state.</p>
<p><img 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" alt></p>
<p>Vanadium can be reduced from an oxidation state of +4 to +3 according to the equation:</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(i) Calculate the cell potential, <em>E</em><sup>Θ</sup>, and the standard free energy, Δ<em>G</em><sup>Θ</sup>, change for the reaction between the VO<sup>2+</sup> and Sn<sup>2+</sup> ions, using sections 1 and 2 of the data booklet.</p>
<p><em>E</em><sup>Θ</sup>:</p>
<p>Δ<em>G</em><sup>Θ</sup>:</p>
<p>(ii) Deduce, giving your reason, whether a reaction between Sn<sup>2+</sup>(aq) and VO<sup>2+</sup>(aq) would be spontaneous.</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>Outline, giving the <strong>full</strong> electron configuration of the vanadium atom, what is meant by the term transition metal.</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>In an aqueous solution of vanadium(III) chloride, the vanadium exists as [V (H<sub>2</sub>O)<sub>6</sub>]<sup>3+</sup>, [VCl (H<sub>2</sub>O)<sub>5</sub>]<sup>2+</sup> or [VCl<sub>2</sub>(H<sub>2</sub>O)<sub>4</sub>]<sup>+</sup> depending on the concentration of chloride ions in the solution.</p>
<p>(i) Describe how Cl<sup>−</sup> and H<sub>2</sub>O bond to the vanadium ion.</p>
<p>(ii) Outline what would happen to the wavelength at which the vanadium complex ions would absorb light as the water molecules are gradually replaced by chloride ions, using section 15 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Eight successive ionisation energies of vanadium are shown in the graph below:</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(i) State the sub-levels from which each of the first four electrons are lost.</p>
<p>First: Second: Third: Fourth: </p>
<p>(ii) Outline why there is an increase in ionization energy from electron 3 to electron 5.</p>
<p>(iii) Explain why there is a large increase in the ionization energy between electrons 5 and 6.</p>
<p>(iv) Vanadium is comprised almost entirely of <sup>51</sup>V. State the number of neutrons an atom of <sup>51</sup>V has in its nucleus.</p>
<div class="marks">[6]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>same charge <em><strong>AND</strong></em> same/similar ionic radius</p>
<p>(ii)<br>enthalpy of hydration «= −1483 + 2 (−359)» = −2201 «kJmol<sup>−1</sup>»<br>enthalpy of solution <strong>«</strong>= 2170 − 2201<strong>»</strong> = −31 <strong>«</strong>kJmol<sup>−1</sup><strong>»</strong></p>
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<p><em>Award <strong>[2]</strong> for correct final answer.</em><br><em>Award <strong>[1 max]</strong> for +31 «kJmol<sup>−1</sup>».</em><br><em>Award <strong>[1 max]</strong> for ±4371.</em></p>
<p>(iii)<br>hydrochloric acid shifts equilibrium to left<br><em><strong>OR</strong></em><br>hydrochloric acid prevents the basic chloride forming/precipitating</p>
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<p><em>Accept “hydrochloric acid reacts with «basic» chloride” <strong>OR</strong> “hydrochloric acid suppresses salt hydrolysis”.</em></p>
<p> </p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)</p>
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<p>E<sup>Θ </sup><strong>«</strong>= 0.34 − 0.15<strong>»</strong> = 0.19«V»<br> āGO<sup>Θ</sup>«= − nFE<sup>Θ</sup> = −2 × 96500 × 0.19<strong>»</strong> = −36670 / −37000«J» / − 37«kJ»</p>
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<p><em>Accept −18335 «J» or −18 «kJ» as equation not specified.</em></p>
</div>
</div>
</div>
</div>
<p>(ii) </p>
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<p>yes <em><strong>AND</strong></em> āG<sup>Θ</sup> is negative<br> <em><strong>OR</strong></em><br> yes <em><strong>AND</strong></em> E<sup>Θ</sup> for the cell is positive<br><em><strong>OR<br></strong></em>yes <em><strong>AND</strong></em> Sn<sup>2+</sup> (aq) is a stronger reducing agent than V<sup>3+</sup>(aq)<br><em><strong>OR</strong></em><br>yes <em><strong>AND</strong></em> E<sup>Θ </sup>SN<sup>4+ </sup>(aq) is more negative that<sup> </sup>E<sup>Θ</sup> or VO<sup>2+</sup> (aq)<br><em><strong>OR</strong></em><br>yes <em><strong>AND</strong></em> VO<sup>2+</sup> (aq) is a stronger oxidizing agent than Sn<sup>4+</sup> (aq)<br><em><strong>OR</strong></em><br>yes <em><strong>AND</strong></em> E<sup>Θ</sup> for VO<sup>2+</sup> (aq) is more positive than E<sup>Θ</sup> for SN<sup>4+</sup> (aq)</p>
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<p><em>Do <strong>not</strong> accept reference to anti-clockwise rule.</em></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
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<p>1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>3d<sup>3</sup>4s<sup>2</sup><br><em><strong>OR</strong></em><br>1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>4s<sup>2</sup>3d<sup>3</sup> </p>
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<div class="column">
<p>incomplete d <strong>«</strong>sub-<strong>»</strong> level/orbital/shell <strong>«</strong>in its compounds/ions<strong>»</strong></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>give/donate a lone/non-bonding electron pair</p>
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<p><em>Accept “through the formation of a dative/ coordinate bond”.</em><br><em> Accept “by acting as Lewis bases”.</em><br><em> Do not accept “act as ligands”.</em></p>
<p>(ii)<br>«more chlorido ligands» smaller energy gap between split d-orbitals<br><em><strong>OR</strong></em><br>Cl<sup>−</sup> is lower than H<sub>2</sub>O in spectrochemical series <br><em><strong>OR</strong></em><br>Cl<sup>−</sup> is a weaker ligand/has lower charge density</p>
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<div class="section">
<div class="layoutArea">
<div class="column">
<p>the absorption will move to longer wavelengths<br><em><strong>OR</strong></em><br>the absorption wavelength will increase</p>
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<p><em>Do not accept answers in terms of change of frequency.</em></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)<br><em>First:</em> 4s <em><strong>AND</strong></em> <em>Second:</em> 4s <em><strong>AND</strong></em> <em>Third:</em> 3d <em><strong>AND</strong></em> <em>Fourth:</em> 3d</p>
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<p><em>Do <strong>not</strong> apply <strong>ECF</strong> from (c).</em></p>
<p>(ii)<br><strong>«</strong>in the same sub-shell and a<strong>»</strong> decrease in electron-electron repulsion<br><em><strong>OR</strong></em><br><strong>«</strong>in the same sub-shell and<strong>»</strong> as more electrons removed, the pull of of the nucleus/positive ions holds the remaining electrons more tightly</p>
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<p><em>Do <strong>not</strong> accept “greater nuclear charge/ effective nuclear charge”.</em></p>
<p>(iii)<br>electron 5 is lost from the 3d orbital<br><em><strong>OR</strong></em><br>electron 5 is lost from the valence shell</p>
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<p>electron 6 is lost from a 3p orbital<br><em><strong>OR</strong></em><br>electron 6 is lost from a <strong>«</strong>complete<strong>»</strong> inner shell</p>
<p>3p orbital/complete inner shell experiences a much larger effective nuclear charge<br> <em><strong>OR</strong></em><br> 3p orbital/complete inner shell is less well shielded<br><em><strong>OR<br></strong></em>3p orbital/complete inner shell is nearer the nucleus</p>
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<p><em>Award <strong>[1 max]</strong> (for M1/M2) (<strong>ECF</strong>) if candidate recognises electrons 5 and 6 are from different levels.</em></p>
<p>(iv)<br>28</p>
<p> </p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Ethanol has many industrial uses.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State an equation for the formation of ethanol from ethene and the necessary reaction conditions.</p>
<p class="p1">Equation:</p>
<p class="p1"> </p>
<p class="p1">Conditions:</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>average bond enthalpy</em>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Ethanol can be used as a fuel. Determine the enthalpy of combustion of ethanol at 298 K, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), using the values in table 10 of the data booklet, assuming all reactants and products are gaseous.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Students can also measure the enthalpy of combustion of ethanol in the laboratory using calorimetry. Suggest the major source of systematic error in these procedures.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the equation for the acid-catalysed reaction of ethanol with propanoic acid and state the name of the organic product.</p>
<p class="p1">Equation:</p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1">Name of the organic product:</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">A polyester can be formed when ethane-1,2-diol reacts with benzene-1,4-dicarboxylic acid.</p>
<p class="p1">Deduce the structure of the repeating unit and state the other product formed.</p>
<p class="p1">Repeating unit:</p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1">Other product:</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the type of polymerization that occurs.</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"><span class="s1">The standard enthalpy change of combustion, \(\Delta H_{\text{c}}^\Theta \), of propanoic acid is \( - 1527{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</span>. Determine the standard enthalpy change of formation of propanoic acid, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using this information and data from table 12 of the data booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce, giving a reason, the sign of the standard entropy change of the system for the formation of propanoic acid from its elements.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Identify <strong>three</strong> allotropes of carbon and describe their structures.</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"><em>Equation:</em></p>
<p class="p1">\({\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}} + {{\text{H}}_{\text{2}}}{\text{O}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{OH/}}{{\text{C}}_2}{{\text{H}}_4} + {{\text{H}}_2}{\text{O}} \to {{\text{C}}_2}{{\text{H}}_5}{\text{OH}}\);</p>
<p class="p1"><em>Conditions</em>:</p>
<p class="p1">(concentrated) sulfuric acid/\({{\text{H}}_2}{\text{S}}{{\text{O}}_4}\);</p>
<p class="p1"><em>Do not accept dilute sulfuric acid.</em></p>
<p class="p1"><em>Accept phosphoric acid/</em>\({H_3}P{O_4}\)<em> (on pellets of silicon dioxide) (for industrial preparation).</em></p>
<p class="p1">heat / high temperature;</p>
<p class="p1"><em>Do not accept warm.</em></p>
<p class="p1"><em>Accept high pressure (for industrial preparation) for M3 only if </em>\({H_3}P{O_4}\)<em> is given for M2</em>.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">energy needed to break (1 mol of) a bond in the <span style="text-decoration: underline;">gaseous</span> state/phase;</p>
<p class="p1">(averaged over) similar compounds;</p>
<p class="p1"><em>Do not accept “similar bonds” instead of “similar compounds”.</em></p>
<p class="p1"><em>Concept of “similar” is important for M2.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OH}} + {\text{3}}{{\text{O}}_2} \to {\text{2C}}{{\text{O}}_2} + {\text{3}}{{\text{H}}_2}{\text{O}}\);</p>
<p class="p1"><em>Bonds broken:</em></p>
<p class="p1">\(347 + (5 \times 413) + 358 + 464 + (3 \times 498)/4728{\text{ (kJ)}}/{\text{C–C}} + 5{\text{C–H}} + {\text{C–O}} + {\text{O–H}} + {\text{3O=O}}\);</p>
<p class="p1"><em>Bonds made:</em></p>
<p class="p1">\((4 \times 746) + (6 \times 464) = 5768{\text{ (kJ)}}/{\text{4C = O}} + {\text{6O–H}}\);</p>
<p class="p1">\(\Delta H = (4728 - 5768 = ) - 1040{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\) / bonds broken − bonds formed;</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for (</em><span class="s1">+</span><em>)1040 (</em>\(kJ\,mo{l^{ - 1}}\)<em>).</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">heat loss (to the surroundings);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OH}} + {\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{COOH}} \rightleftharpoons {\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OOCCH2C}}{{\text{H}}_3} + {{\text{H}}_2}{\text{O}}\);</p>
<p class="p1">ethyl propanoate;</p>
<p class="p1"><em>Do not penalize if equilibrium arrow missing.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Repeating unit</em>:</p>
<p class="p1"><img src="images/Schermafbeelding_2016-08-02_om_19.36.30.png" alt="M15/4/CHEMI/HP2/ENG/TZ1/05.e.i/M"> ;</p>
<p class="p1"><em>Continuation lines must be shown.</em></p>
<p class="p1"><em>Ignore brackets and n.</em></p>
<p class="p1"><em>Accept condensed formulas such as </em>\(C{H_2}\) <em>and </em>\({C_6}{H_4}\)<em>.</em></p>
<p class="p1"><em>Other product:</em></p>
<p class="p1">\({{\text{H}}_{\text{2}}}{\text{O}}\)/water;</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">condensation;</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{3C(s)}} + {\text{3}}{{\text{H}}_2}{\text{(g)}} + {{\text{O}}_2}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{COOH(l)}}\);</p>
<p>\(\Delta H_{\text{f}}^\Theta = \sum \Delta H_{\text{c}}^\Theta {\text{ (reactants)}} - \sum {\Delta H_{\text{c}}^\Theta {\text{ (products)}}} \);</p>
<p><em>Accept any suitable energy cycle.</em></p>
<p>\(\sum {\Delta H_{\text{c}}^\Theta {\text{ (reactants)}}} = 3 \times ( - 394) + 3 \times ( - 286)/ - 2040{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p>\((\Delta H_{\text{f}}^\Theta = [3 \times ( - 394) + 3 \times ( - 286)] - ( - 1527) = ) - 513{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><strong>OR</strong></p>
<p>\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{COOH(l)}} + {\text{3.5}}{{\text{O}}_2}{\text{(g)}} \to {\text{3C}}{{\text{O}}_2}{\text{(g)}} + {\text{3}}{{\text{H}}_2}{\text{O(g)}}\);</p>
<p>\(\Delta H_{\text{c}}^\Theta = \sum {\Delta H_{\text{f}}^\Theta {\text{ }}(products)} - \sum {\Delta H_{\text{f}}^\Theta {\text{ }}(reactants)} \);</p>
<p>\(\sum {\Delta H_{\text{f}}^\Theta {\text{ (products)}}} = 3 \times ( - 394) + 3 \times ( - 286)/ - 2040{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p>\({\text{(}}\Delta H_{\text{f}}^\Theta = [3 \times ( - 394) + 3 \times ( - 286)] - ( - 1527) = ) - 513{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Ignore state symbols.</em></p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">negative;</p>
<p class="p1">reduction in the number of <span style="text-decoration: underline;">gaseous</span> molecules;</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Allotropes:</em></p>
<p class="p1"><em>Any </em><strong><em>three </em></strong><em>allotropes for </em><strong><em>[1] </em></strong><em>from:</em></p>
<p class="p1">diamond</p>
<p class="p1">graphite</p>
<p class="p1">fullerene</p>
<p class="p1">graphene;</p>
<p class="p1"><em>Allow (carbon) nanotubes for graphene.</em></p>
<p class="p1"><em>Accept </em>\({C_{{\text{60}}}}\)<em>/</em>\({C_{{\text{70}}}}\)<em>/buckminsterfullerene/bucky balls for fullerene.</em></p>
<p class="p1"><em>Structures:</em></p>
<p class="p1"><em>Any three for </em><strong><em>[3] </em></strong><em>from:</em></p>
<p class="p1"><em>Diamond:</em></p>
<p class="p1">tetrahedral arrangement of (carbon) atoms/each carbon bonded to four others / \({\text{s}}{{\text{p}}^{\text{3}}}\) <strong>and </strong>3D/covalent network structure;</p>
<p class="p1"><em>Graphite:</em></p>
<p class="p1">each carbon bonded to three others (in a trigonal planar arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> 2D / layers of (carbon) atoms;</p>
<p class="p1"><em>Fullerene:</em></p>
<p class="p1">each (carbon) atom bonded to three others (in a trigonal arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> joined in a ball/cage/sphere/connected hexagons and pentagons;</p>
<p class="p1"><em>Accept “trigonal planar” for “each carbon atom bonded to three others” part in M4.</em></p>
<p class="p1"><em>Graphene:</em></p>
<p class="p1">each carbon bonded to three others (in a trigonal arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> 2D structure;</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">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, has a wide variety of uses including the removal of ice from aircraft and heat transfer in a solar cell.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Calculate Δ<em>H</em><sup>θ</sup>, in kJ, for this similar reaction below using \(\Delta H_{\rm{f}}^\theta \) data from section 12 of the data booklet. \(\Delta H_{\rm{f}}^\theta \) of HOCH<sub>2</sub>CH<sub>2</sub>OH(l) is –454.8kJmol<sup>-1</sup>.</p>
<p style="text-align: center;">2CO (g) + 3H<sub>2</sub> (g) \( \rightleftharpoons \) HOCH<sub>2</sub>CH<sub>2</sub>OH (l)</p>
<p>(ii) Deduce why the answers to (a)(iii) and (b)(i) differ.</p>
<p>(iii) Δ<em>S</em><sup>θ</sup> for the reaction in (b)(i) is –620.1JK<sup>-1</sup>. Comment on the decrease in entropy.</p>
<p>(iv) Calculate the value of ΔG<sup>θ</sup>, in kJ, for this reaction at 298 K using your answer to (b)(i). (If you did not obtain an answer to (b)(i), use –244.0 kJ, but this is not the correct value.)</p>
<p>(v) Comment on the statement that the reaction becomes less spontaneous as temperature is increased.</p>
<div class="marks">[6]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the <sup>1</sup>HNMR data for ethanedioic acid and ethane-1,2-diol by completing the table.</p>
<p><img src="data:image/png;base64,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" alt></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>i<br>«ΔH = Σ Δ<em>H</em><sub>f</sub> products – ΣΔ<em>H</em><sub>f</sub> reactants = –454.8 kJ mol<sup>-1</sup> – 2(–110.5 kJ mol<sup>-1</sup>) =» –233.8 «kJ»</p>
<p> </p>
<p>ii<br>in (a)(iii) gas is formed and in (b)(i) liquid is formed<br><em><strong>OR</strong></em><br>products are in different states<br><em><strong>OR</strong></em><br>conversion of gas to liquid is exothermic<br><em><strong>OR</strong></em><br>conversion of liquid to gas is endothermic<br><em><strong>OR</strong></em><br>enthalpy of vapourisation needs to be taken into account</p>
<p><em>Accept product is «now» a liquid.</em><br><em>Accept answers referring to bond enthalpies being means/averages.</em></p>
<p> </p>
<p>iii<br>«Δ<em>S</em> is negative because five mols of» gases becomes «one mol of» liquid<br><em><strong>OR</strong></em><br>increase in complexity of product «compared to reactants»<br><em><strong>OR</strong></em><br>product more ordered «than reactants»</p>
<p><em>Accept “fewer moles of <span style="text-decoration: underline;">gas</span>” but not “fewer molecules”.</em></p>
<p><br><br>iv<br>Δ<em>S</em> = \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\)«kJ K<sup>-1</sup>»<br>Δ<em>G</em> = –233.8 kJ – (298 K \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\) kJ K<sup>-1</sup>) = –49.0 «kJ»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Award <strong>[1 max]</strong> for «+»185 × 10<sup>3</sup>.</em></p>
<p><em>If –244.0 kJ used, answer is:</em><br>Δ<em>G</em> = –244.0 kJ – (298 K \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\)kJ K<sup>-1</sup>) = –59.2 «kJ»<br><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p> </p>
<p>v<br>increasing T makes Δ<em>G</em> larger/more positive/less negative<br><em><strong>OR</strong></em><br>–TΔ<em>S</em> will increase</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" alt></p>
<p><em>Accept “none/no splitting” for singlet.</em></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Magnesium is the eighth most abundant element in the earth’s crust. The successive ionization energies of the element are shown below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-25_om_14.06.48.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/04"></p>
</div>
<div class="specification">
<p class="p1">Magnesium can be produced from the electrolysis of molten magnesium chloride, MgCl<sub><span class="s1">2</span></sub>.</p>
</div>
<div class="specification">
<p class="p1">The lattice enthalpy of magnesium chloride can be calculated from the Born-Haber cycle shown below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-25_om_14.10.58.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/04.c"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Define the term <em>first ionization energy </em>and state the equation for the first ionization of magnesium.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Explain the general increase in successive ionization energies of the element.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Explain the large increase between the tenth and eleventh ionization energies.</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 class="p1">(i) <span class="Apple-converted-space"> </span>Explain how molten magnesium chloride conducts an electric current.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Identify the electrode where oxidation occurs during electrolysis of molten magnesium chloride and state an equation for the half-reaction.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Explain why magnesium is not formed during the electrolysis of aqueous magnesium chloride solution.</p>
<div class="marks">[5]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Identify the enthalpy changes labelled by <strong>I </strong>and <strong>V </strong>in the cycle.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Use the ionization energies given in the cycle above and further data from the Data Booklet to calculate a value for the lattice enthalpy of magnesium chloride.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>The theoretically calculated value for the lattice enthalpy of magnesium chloride is +2326 kJ. Explain the difference between the theoretically calculated value and the experimental value.</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>The experimental lattice enthalpy of magnesium oxide is given in Table 13 of the Data Booklet. Explain why magnesium oxide has a higher lattice enthalpy than magnesium chloride.</p>
<div class="marks">[10]</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>State whether aqueous solutions of magnesium oxide and magnesium chloride are acidic, alkaline or neutral.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>State an equation for the reaction between magnesium oxide and water.</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">(i) energy (per mole) needed to remove one/first/most loosely bound electron from a (neutral) atom;</p>
<p class="p1">in the gaseous state;</p>
<p class="p1">\({\text{Mg(g)}} \to {\text{M}}{{\text{g}}^ + }{\text{(g)}} + {{\text{e}}^ - }\);</p>
<p class="p1"><em>Gaseous state symbols needed.</em></p>
<p class="p1"><em>Accept e instead of e<sup>–</sup></em>.</p>
<p class="p1"><em>Only penalize omission of gas phase once in either the second marking point or </em><em>the third marking point.</em></p>
<p class="p1">(ii) successive electrons (are more difficult to remove because each is) taken from more positively charged ion/ <em>OWTTE</em>;</p>
<p class="p1">increased electrostatic attraction;</p>
<p class="p1">(iii) 10<sup><span class="s2">th </span></sup>electron comes from 2<sup><span class="s2">nd </span></sup>energy level/\(n = 2\) <strong>and </strong>11<sup><span class="s2">th </span></sup>electron comes from 1<sup><span class="s2">st </span></sup>first energy level/\(n = 1\) / <em>OWTTE</em>;</p>
<p class="p1">electron in 1<sup><span class="s2">st </span></sup>energy level closer to nucleus;</p>
<p class="p1">electron in 1<sup><span class="s2">st </span></sup>energy level not shielded by inner electrons / exposed to greater effective nuclear charge;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>contains ions which are free to move (only) in molten state;</p>
<p class="p1">\({\text{M}}{{\text{g}}^{2 + }}\) move to cathode/negative electrode and \({\text{C}}{{\text{l}}^ - }\) move to anode/positive electrode <em>/ OWTTE</em>;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>anode/positive electrode;</p>
<p class="p1">\({\text{2C}}{{\text{l}}^ - } \to {\text{C}}{{\text{l}}_2} + {\text{2}}{{\text{e}}^ - }/{\text{C}}{{\text{l}}^ - } \to \frac{1}{2}{\text{C}}{{\text{l}}_2}+{{\text{e}}^ - }\);</p>
<p class="p1"><em>Accept e instead of e<sup>–</sup></em>.</p>
<p class="p1"><em>Do not accept </em>\(C{l^ - } \to Cl + {e^ - }\)<em>.</em></p>
<p class="p1"><em>Ignore state symbols.</em></p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>magnesium has large negative electrode potential / \({E^\Theta }\);</p>
<p class="p1">reduction of \({{\text{H}}_2}{\text{O/}}{{\text{H}}^ + }\) to \({{\text{H}}_2}\) has less negative electrode potential;</p>
<p class="p1">\({\text{M}}{{\text{g}}^{2 + }}\) not readily reduced (in comparison to \({{\text{H}}_2}{\text{O}}\));</p>
<p class="p1">if formed, magnesium would (immediately) react with water to form \({\text{M}}{{\text{g}}^{2 + }}\);</p>
<p class="p1">magnesium more reactive than hydrogen;</p>
<p class="p1"><em>Do not accept Mg too reactive.</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><em>I</em>:</p>
<p class="p1">atomization/sublimation (of Mg) / \(\Delta H_{{\text{atomization}}}^\Theta {\text{(Mg)}}\) / \(\Delta H_{{\text{sublimation}}}^\Theta {\text{(Mg)}}\);</p>
<p class="p1"><em>V</em>:</p>
<p class="p1">enthalpy change of formation of \({\text{(MgC}}{{\text{l}}_2}{\text{)}}\) / \(\Delta H_{{\text{formation}}}^\Theta {\text{(MgC}}{{\text{l}}_2}{\text{)}}\);</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span><em>Energy value for II</em>:</p>
<p class="p1">\( + 243\);</p>
<p class="p1"><em>Energy value for III</em>:</p>
<p class="p1">\(738 + 1451 = 2189\);</p>
<p class="p1"><em>Energy value for IV</em>:</p>
<p class="p1">\(2( - 349)\);</p>
<p class="p1">\(\Delta H_{{\text{lat}}}^\Theta {\text{(MgC}}{{\text{l}}_2}{\text{)}} = 642 + 148 + 243 + 2189 - 2(349) = ( - )2524{\text{ (kJ)}}\);</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>theoretical value assumes ionic model;</p>
<p class="p1">experimental value greater due to (additional) covalent character;</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>oxide greater charge;</p>
<p class="p1">oxide smaller radius;</p>
<p class="p1"><em>Accept opposite arguments</em>.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\({\text{MgC}}{{\text{l}}_2}\) (weakly) acidic <strong>and </strong>MgO alkaline;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>\({\text{MgO}} + {{\text{H}}_2}{\text{O}} \to {\text{Mg(OH}}{{\text{)}}_2}\);</p>
<p class="p1"><em>Ignore state symbols.</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">In (a) several candidates failed to mention atoms in their definition of first ionization energy and others neglected to state that the gaseous state is involved. Only the strongest students mentioned the electrostatic nature of the attraction between the nucleus and the electrons in explaining trends in ionisation energies. Several candidates lost a mark in explaining the increase between the tenth and eleventh ionisation energies as their arguments were incomplete, with no reference to the change from\(n = 2\) energy level to the\(n = 1\) level.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (b) many candidates stated that free electrons rather than ions were responsible for the conductivity of magnesium chloride and others did not refer to the movement of both \({\text{M}}{{\text{g}}^{2 + }}\)<span class="s1"> </span>and \({\text{C}}{{\text{l}}^ - }\)<span class="s1"> </span>ions. The anode was generally identified as the electrode where oxidation occurs but some had difficulties giving the balanced equation for the half reaction. Only the strongest candidates were able to explain why magnesium is not formed during the electrolysis of aqueous solutions.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (c) most candidates were familiar with the enthalpy changes of atomization and formation but some struggled with the Born Haber Cycle. Only the strongest candidates were able to relate differences in experimental and theoretical lattice energies to the covalent character of the solid with a significant number mistakenly giving “heat loss” as the reason for the difference.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (d) many were able to correctly describe the basic nature of magnesium oxide but the acidity of magnesium chloride was less well known. Some gave hydrogen gas as a product in the reaction between magnesium oxide and water.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Carbon monoxide reacts with hydrogen to produce methanol.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(l)}}\]</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-08-07_om_06.11.14.png" alt="M15/4/CHEMI/HP2/ENG/TZ2/03"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change, \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard free energy change, \(\Delta {G^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), for the reaction</p>
<p class="p1">\({\text{(}}\Delta G_{\text{f}}^\Theta {\text{(}}{{\text{H}}_{\text{2}}}{\text{)}} = {\text{0 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Using the values obtained in parts (a) and (b), calculate the standard entropy change, \(\Delta {S^\Theta }\), in \({\text{J mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}}\), for the reaction at 298 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the absolute entropy,<span class="Apple-converted-space"> </span>\({S^\Theta }\), in \({\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}}\), for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) at 298 K.</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">\(( - 239.0 - [ - 110.5] = ) - 128.5{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(( - 166.0 - [ - 137.2] = ) - 28.8{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\Delta {G^\Theta } = - 28.8 = - 128.5 - \left[ {\frac{{298 \times \Delta {S^\Theta }}}{{1000}}} \right]} \right)\)</p>
<p>\((\Delta {S^\Theta } = ) - 335{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {S^\Theta } = \sum {S_{products}^\Theta - \sum {S_{reactants}^\Theta } } / - 335 = 126.8 - 197.6 - 2S_{{{\text{H}}_2}}^\Theta \);</p>
<p>\(S_{{{\text{H}}_2}}^\Theta = ( + )132{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\);</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 </em>\(S_{{{\text{H}}_2}}^\Theta = ( + )264{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\)<em>.</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">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Bromomethane was used as a pesticide until it was found to be ozone-depleting.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State the equation for the reaction between methane and bromine to form bromomethane.</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">Explain, using equations, the complete free-radical mechanism for the reaction of methane with bromine, including necessary reaction conditions.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Bromomethane reacts with aqueous sodium hydroxide. State the organic product of this reaction.</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">Explain why the rate of the reaction between iodomethane, \({\text{C}}{{\text{H}}_{\text{3}}}{\text{I}}\), and NaOH(aq) is faster than the rate of the reaction between \({\text{C}}{{\text{H}}_{\text{3}}}{\text{Br}}\) and NaOH(aq).</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">Bromine can be produced by the electrolysis of <strong>molten </strong>sodium bromide.</p>
<p class="p1">Deduce the half-equation for the reaction at each electrode.</p>
<p class="p1"> </p>
<p class="p1">Positive electrode (anode):</p>
<p class="p1"> </p>
<p class="p1">Negative electrode (cathode):</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 class="p1">Predict the products formed at the electrodes during the electrolysis of concentrated <strong>aqueous </strong>sodium bromide.</p>
<p class="p1"> </p>
<p class="p1">Positive electrode (anode):</p>
<p class="p1"> </p>
<p class="p1">Negative electrode (cathode):</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">Bromine reacts with aqueous sodium iodide.</p>
<p class="p1">\[{\text{B}}{{\text{r}}_{\text{2}}}{\text{(aq)}} + {\text{2NaI(aq)}} \to {{\text{I}}_{\text{2}}}{\text{(aq)}} + {\text{2NaBr(aq)}}\]</p>
<p class="p1">Identify the oxidizing agent in this reaction.</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 class="p1">Define the term <em>standard electrode potential, </em>\({E^\Theta }\).</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Draw a labelled diagram for the voltaic cell in which the following reaction occurs.</p>
<p class="p1">\[{\text{Mg(s)}} + {\text{C}}{{\text{u}}^{2 + }}{\text{(aq)}} \to {\text{M}}{{\text{g}}^{2 + }}{\text{(aq)}} + {\text{Cu(s)}}\]</p>
<p class="p2">Include in your answer the direction of electron flow and the polarity of the electrodes.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">A student measures a voltage of 2.65 V in the voltaic cell formed between magnesium and copper half-cells using a digital voltmeter.</p>
<p class="p1">State the random uncertainty of this value, in V, and the number of significant figures in the answer.</p>
<p class="p2"> </p>
<p class="p1">Random uncertainty:</p>
<p class="p2"> </p>
<p class="p1">Significant figures:</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Outline how the student can reduce the random error in her results.</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the standard enthalpy change of formation, \(\Delta H_{\text{f}}^\Theta \)<span class="s1">, of NaCl(s), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</span>, using a Born-Haber cycle and tables 7, 10 and 13 of the data booklet. The standard enthalpy change of atomization (standard enthalpy change of sublimation), \(\Delta H_{{\text{at}}}^\Theta \), of Na(s) is \( + {\text{108 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)<span class="s1">.</span></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">\({\text{C}}{{\text{H}}_{\text{4}}} + {\text{B}}{{\text{r}}_{\text{2}}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{Br}} + {\text{HBr}}\);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Initiation:</em></p>
<p>\({\text{B}}{{\text{r}}_2}\xrightarrow{{{\text{UV/}}hf{\text{/}}hv}}{\text{2Br}} \bullet \);</p>
<p><em>Reference to UV/light or high temperatures must be included.</em></p>
<p><em>Propagation:</em></p>
<p>\({\text{Br}} \bullet + {\text{C}}{{\text{H}}_4} \to {\text{C}}{{\text{H}}_3} \bullet + {\text{HBr}}\);</p>
<p>\({\text{C}}{{\text{H}}_3} \bullet + {\text{B}}{{\text{r}}_2} \to {\text{C}}{{\text{H}}_3}{\text{Br}} + {\text{Br}} \bullet \);</p>
<p><em>Termination:</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for any one of:</em></p>
<p>\({\text{Br}} \bullet + {\text{Br}} \bullet \to {\text{B}}{{\text{r}}_2}\);</p>
<p>\({\text{C}}{{\text{H}}_3} \bullet + {\text{Br}} \bullet \to {\text{C}}{{\text{H}}_3}{\text{Br}}\);</p>
<p>\({\text{C}}{{\text{H}}_3} \bullet + {\text{C}}{{\text{H}}_3} \bullet \to {{\text{C}}_2}{{\text{H}}_6}\);</p>
<p><em>Allow representation of radical without </em>\( \bullet \)<em> (eg Br, </em>\(C{H_{\text{3}}}\)<em>) if consistent throughout mechanism.</em></p>
<p><em>Award </em><strong><em>[3 max] </em></strong><em>if initiation, propagation and termination are not stated or are incorrectly labelled for equations.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{methanol/C}}{{\text{H}}_{\text{3}}}{\text{OH}}\);</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">C–I bond is weaker than the C–Br bond so more easily broken;</p>
<p class="p1">C–I bond is longer than the C–Br bond / I larger than Br so bonding electrons not as tightly held / \({{\text{I}}^ - }\) <span class="s2">is better leaving group than \({\text{B}}{{\text{r}}^ - }\);</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Positive electrode (anode):</em></p>
<p class="p1">\({\text{2B}}{{\text{r}}^ - } \to {\text{B}}{{\text{r}}_2}{\text{(g)}} + {\text{2}}{{\text{e}}^ - }{\text{/B}}{{\text{r}}^ - } \to \frac{1}{2}{\text{B}}{{\text{r}}_2}{\text{(g)}} + {{\text{e}}^ - }\);</p>
<p class="p1"><em>Negative electrode (cathode):</em></p>
<p class="p1">\({\text{N}}{{\text{a}}^ + } + {{\text{e}}^ - } \to {\text{Na(l)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for correct equations at incorrect electrodes.</em></p>
<p class="p1"><em>Ignore state symbols.</em></p>
<p class="p1"><em>Accept </em>e <em>instead of </em>\({{\text{e}}^ - }\)<em>.</em></p>
<p class="p1"><em>Penalize use of equilibrium signs once only.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Positive electrode (anode):</em></p>
<p class="p1">bromine/\({\text{B}}{{\text{r}}_{\text{2}}}\);</p>
<p class="p1"><em>Negative electrode (cathode):</em></p>
<p class="p1">hydrogen/\({{\text{H}}_{\text{2}}}\);</p>
<p class="p2"><em>Allow sodium hydroxide/NaOH/hydroxide/</em>\(O{H^ - }\) <span class="s2"><em>formation.</em></span></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">bromine/\({\text{B}}{{\text{r}}_{\text{2}}}\);</p>
<p class="p2"><em>Do not accept bromide/</em>\(B{r^ - }\)<span class="s1"><em>.</em></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">potential of reduction half-reaction under standard conditions measured relative to standard hydrogen electrode/SHE/potential under standard conditions relative to standard hydrogen electrode/SHE;</p>
<p class="p1"><em>Instead of standard state allow either solute concentration of </em>\(1 mol\,d{m^{ - {\text{3}}}}\) <em>or</em></p>
<p class="p1">\(100 kPa/1.00 \times 1{0^5} Pa\)<em> for gases.</em></p>
<p class="p1"><em>Allow 1 bar for </em>\(100 kPa/1.00 \times 1{0^5} Pa\)<em>.</em></p>
<p class="p1"><em>Allow 1 atm.</em></p>
<p class="p1"><em>Allow voltage instead of potential.</em></p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-08-03_om_06.08.05.png" alt="M15/4/CHEMI/HP2/ENG/TZ1/06.f.ii/M"></p>
<p class="p1">correct diagram including (voltmeter), 4 correct species (state symbols not required) and connecting wires;</p>
<p class="p1"><em>No credit if wires to electrodes immersed in the solutions.</em></p>
<p class="p1"><em>Accept ammeter/meter/lamp instead of voltmeter.</em></p>
<p class="p1">labelled salt bridge;</p>
<p class="p1"><em>Accept an appropriate salt (name or formula) instead of salt bridge (eg, potassium nitrate).</em></p>
<p class="p1">correctly labelled electrodes as +/cathode <strong>and </strong>−/anode;</p>
<p class="p1">flow of electrons from Mg to Cu in external circuit;</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Random uncertainty: </em>(±) 0.01 (V);</p>
<p class="p1"><em>Significant figures: </em>3;</p>
<div class="question_part_label">f.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">repeat readings <strong>and </strong>take an average / use more precise equipment;</p>
<div class="question_part_label">f.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{atomization of chlorine}} = \frac{1}{2}{\text{ bond enthalpy / }}\frac{1}{2}{\text{ 243 / 121.5 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p2"><span class="s1">correct values for <em>ionization </em></span>Na (\( + {\text{496 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)<span class="s1">) <strong>and </strong><em>electron affinity </em></span>Cl (\( - {\text{349 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)<span class="s1">)</span></p>
<p class="p2"><span class="s1"><strong>and </strong></span>lattice enthalpy of NaCl (\( + {\text{790 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{ /}} + {\text{769 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)<span class="s1">);</span></p>
<p class="p1">Born-Haber energy cycle;</p>
<p class="p1"><em>Accept lines or arrows in energy cycle.</em></p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-08-03_om_06.21.36.png" alt="M15/4/CHEMI/HP2/ENG/TZ1/06.g/M"></p>
<p>\(\Delta H_{\text{f}}^\Theta {\text{(NaCl(s))}} = - {\text{413.5 /}} - {\text{413 /}} - {\text{414 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Accept </em>\( - 392.5 / - 392 / - 393 if + 769\)<em> used for lattice enthalpy.</em></p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">f.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">f.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Candidates found it difficult to write the equation in (a) and the mechanisms in (b) (i) ranged from really good to no understanding. Many opined the production of \( \bullet {\text{H}}\) in the first propagation step. A significant number of candidates suggested a mechanism involving ions despite <em>free radical </em>begin stated in the stem. Most were able to give methanol in (ii). Few scored full marks for (c); the answer needed to be thought through carefully. In (d) the electrodes were often reversed or the equations unbalanced. Few understood the significance of the water present in the answers to (ii). A high percentage of candidates gave the correct answer to (e) but (f) was poorly answered. Either the standard hydrogen electrode or standard conditions were omitted in (i) and the standard of diagrams in (ii) was very poor indeed. Little care seemed to have been taken over their presentation; it was not clear what, if anything, was in the beakers and electrode connections were shown actually in the solutions. In (iii) some did not notice that the voltmeter was digital but most gave the number of significant figures correctly. In (iv) many suggested repeated readings but few stated that an average omitted must be taken. In (g), those who didn’t draw out the cycle tended to get the answer wrong. Examiners cannot give part marks if they cannot work out what is being done. There was one mark for a correct Born-Haber cycle. Very few gained the mark for dividing the chlorine value by 2.</p>
<div class="question_part_label">g.</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,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" 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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