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<quiz>
 <!-- categoryid: 1502 -->
 <question type="category"><category><text>WIRIS Funksies</text></category></question>
 
 <!-- resourceid-resourcedataid: 16842-13824 -->
 <question type="shortanswerwiris">
    <name>
      <text>Bepaal die volgende 2 getalle in die reeks.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: medium;">Bepaal die volgende 2 getalle in die reeks.</span></p>
<p><span style="font-size: medium;">6 ; 10 ; 14 ; 18 ; 22 ; ...</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="{" close="}"><mrow><mn>26</mn><mo>;</mo><mn>30</mn></mrow></mfenced></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced open="{" close="}"&gt;&lt;mrow&gt;&lt;mn&gt;26&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 16843-13825 -->
 <question type="shortanswerwiris">
    <name>
      <text>Bepaal die volgende 2 getalle in die reeks.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: medium;">Bepaal die volgende 2 getalle in die reeks.</span></p>
<p><span style="font-size: medium;">3 ; 8 ; 13 ; 18 ; 23 ; ...</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="{" close="}"><mrow><mn>28</mn><mo>;</mo><mn>33</mn></mrow></mfenced></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced open="{" close="}"&gt;&lt;mrow&gt;&lt;mn&gt;28&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;33&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 16844-13826 -->
 <question type="shortanswerwiris">
    <name>
      <text>Bepaal die volgende drie getalle in die reeks.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Bepaal die volgende drie getalle in die reeks.</span></p>
<p><span style="font-size: medium;">3 ; 6 ; 9 ; 12 ; 15 ; ...</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="{" close="}"><mrow><mn>18</mn><mo>;</mo><mn>21</mn><mo>;</mo><mn>24</mn></mrow></mfenced></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced open="{" close="}"&gt;&lt;mrow&gt;&lt;mn&gt;18&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;21&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;24&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 16845-13827 -->
 <question type="shortanswerwiris">
    <name>
      <text>Bepaal die volgende drie getalle in die reeks.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: medium;">Bepaal die volgende drie getalle in die reeks.</span></p>
<p><span style="font-size: medium;">2 ; 4 ; 6 ; 8 ; 10 ; ...</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="{" close="}"><mrow><mn>12</mn><mo>;</mo><mn>14</mn><mo>;</mo><mn>16</mn></mrow></mfenced></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced open="{" close="}"&gt;&lt;mrow&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;14&lt;/mn&gt;&lt;mo&gt;;&lt;/mo&gt;&lt;mn&gt;16&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 16846-13828 -->
 <question type="matchwiris">
    <name>
      <text>Bereken die ontbrekende invoer - en uitvoergetalle.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<pre class="tw-data-text vk_txt tw-ta tw-text-small" style="text-align: left; height: 40px;" dir="ltr" data-fulltext="" data-placeholder="Translation"><span style="font-size: large;">Bereken die in en uitvoergetalle wat nie wys nie. Onthou om die reël te gebruik.<br><br></span></pre>
<hr id="null"><p style="text-align: right;"><img src="@@PLUGINFILE@@/videotuts%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" class="img-responsive" style="vertical-align: text-bottom; margin: 0px 0.5em;"><img src="@@PLUGINFILE@@/help%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" class="img-responsive" style="vertical-align: text-bottom; margin: 0px 0.5em;"><img src="@@PLUGINFILE@@/canstock29444844%20%28Copy%29.jpg" alt="" width="50" height="46" role="presentation" class="img-responsive" style="vertical-align: text-bottom; margin: 0px 0.5em;"></p><p><img src="@@PLUGINFILE@@/3letters%20in.jpg" alt="in_1" style="border: 2px solid black;" height="202" width="305"></p>
<p>&nbsp;</p>]]></text>
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    <defaultgrade>7.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <shuffleanswers>false</shuffleanswers>
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      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
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    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
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      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
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    <shownumcorrect></shownumcorrect>
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      <text><![CDATA[<p><span style="font-size: medium;">a) &nbsp;die waarde van <em><strong>a</strong></em> is ...</span></p>]]></text>
      <answer>
        <text>2</text>
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      <text><![CDATA[<p><span style="font-size: medium;">b) &nbsp;die waarde van <em><strong>b</strong></em>&nbsp;is ...</span></p>]]></text>
      <answer>
        <text>-2</text>
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    <subquestion format="html">
      <text><![CDATA[<p><span style="font-size: medium;">c) &nbsp;die waarde van <em><strong>c</strong></em>&nbsp;is ...</span></p>]]></text>
      <answer>
        <text>-3</text>
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    <subquestion format="html">
      <text><![CDATA[<p><span style="font-size: medium;">d) &nbsp;die waarde van <em><strong>d</strong></em>&nbsp;is ...</span></p>]]></text>
      <answer>
        <text>6</text>
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    <subquestion format="html">
      <text><![CDATA[<p><span style="font-size: medium;">e) &nbsp;die waarde van <em><strong>e</strong></em>&nbsp;is ...</span></p>]]></text>
      <answer>
        <text>5</text>
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    <subquestion format="html">
      <text><![CDATA[<p><span style="font-size: medium;">f) &nbsp;die waarde van <em><strong>f</strong></em>&nbsp;is ...</span></p>]]></text>
      <answer>
        <text>3</text>
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 <!-- resourceid-resourcedataid: 16848-13830 -->
 <question type="essaywiris">
    <name>
      <text>Beskryf die volgende.....</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Ontleed die invoer en uitvoergetalle en beskryf die reël in woorde.</span></p><p style="text-align: right; "><span style="font-size: large;"><img src="@@PLUGINFILE@@/videotuts%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/help%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/canstock29444844%20%28Copy%29.jpg" alt="" width="50" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></span></p>
<p><img src="@@PLUGINFILE@@/3.1.jpg" alt="tab3" style="border: 2px solid black;" height="98" width="350"></p>
<p>&nbsp;</p>]]></text>
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      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><msup><mi>x</mi><mn>2</mn></msup></math>]]></text>
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&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_4</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16850-13832 -->
 <question type="multianswerwiris">
    <name>
      <text>Evalueer die verwantskap tussen x en y van die volgende.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voltooi die tabel deur die verwantskap <em><strong>y = x<sup>3</sup> + 1</strong></em> toe te pas.</span></p>
<p> </p>
<table style="width: 474px; height: 41px;" border="2">
<tbody>
<tr>
<td style="text-align: center;"><strong>x</strong></td>
<td style="text-align: center;"><strong>1</strong></td>
<td style="text-align: center;"><strong>2</strong></td>
<td style="text-align: center;"><strong>3</strong></td>
<td style="text-align: center;"><strong>4</strong></td>
</tr>
<tr>
<td style="text-align: center;"><strong>y</strong></td>
<td style="text-align: center;">
<p><strong> </strong></p>
</td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
</tr>
</tbody>
</table>
<p> </p>
<p><span style="font-size: medium;">1.  Die y-waarde by 1 is {#1}</span></p>
<p><span style="font-size: medium;">2.  Die y-waarde by 2 is {#2}</span></p>
<p><span style="font-size: medium;">3.  Die y-waarde by 3 is {#3}</span></p>
<p><span style="font-size: medium;">4.  Die y-waarde by 4 is {#4}</span></p>
<p><span style="font-size: medium;">5.  Indien die x- waarde 7 is, sal die y-waarde : {#5} wees.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>5.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:NM:=2}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=9}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=28}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=344}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=13}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_4</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16851-13833 -->
 <question type="matchwiris">
    <name>
      <text>Evalueer die vloeidiagram en voltooi waar nodig.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Evalueer die vloeidiagram en voltooi waar nodig.</span></p><p style="text-align: right; "><span style="font-size: large;"><img src="@@PLUGINFILE@@/videotuts%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/help%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/canstock29444844%20%28Copy%29.jpg" alt="" width="50" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></span></p>
<p><img src="@@PLUGINFILE@@/invoer_en_uitvoer_1%20%28Copy%29.jpg" width="350" height="164" alt="inenuit_1" style="border: 2px solid black;"></p>]]></text>
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    <shownumcorrect></shownumcorrect>
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      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>+</mo><mn>1</mn><mo>&#215;</mo><mn>2</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;&amp;#215;&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16853-13835 -->
 <question type="shortanswerwiris">
    <name>
      <text>Herskryf die probleem</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Herskryf die probleem.  <img src="@@PLUGINFILE@@/canstock29444844%20%28Copy%29.jpg" width="50" height="46" style="margin: 2px; float: right;" /><img src="@@PLUGINFILE@@/help%20%28Copy%29.png" width="46" height="46" style="margin: 2px; float: right;" /><img src="@@PLUGINFILE@@/videotuts%20%28Copy%29.png" width="46" height="46" style="margin: 2px; float: right;" /></span></p>
<p><span style="font-size: medium;">'n Rekenaartegnikus vra 'n vasgestelde uitkom fooi na jou huis asook 'n fooi per uur vir die aantal ure wat hy by jou huis werk.</span></p>
<p><strong><em><span style="font-size: medium;">Jan maak gebruik van die volgende reël</span></em></strong></p>
<p><span style="font-size: medium;">x = die tyd wat die werk neem in ure</span></p>
<p><span style="font-size: medium;">y = die totale koste van die tegnikus se tyd in Rand.</span></p>
<p><span style="font-size: medium;">y = 40x + 60</span></p>
<p><strong><span style="font-size: medium;">Die tegnikus werk vir 3 uur.  Hoeveel moet ek hom betaal?</span></strong></p>]]></text>
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      <text></text>
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    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mn>40</mn><mo>&#215;</mo><mn>3</mn><mo>+</mo><mn>60</mn><mo>=</mo><mn>180</mn><mspace linebreak="newline"/></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;&amp;#215;&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;60&lt;/mn&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;180&lt;/mn&gt;&lt;mspace linebreak="newline"/&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
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  </question>
 
 <!-- resourceid-resourcedataid: 16854-13836 -->
 <question type="shortanswerwiris">
    <name>
      <text>Herskryf die woordformule  volgens 'n simboolformule:</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Herskryf die woordformule  volgens 'n simboolformule:</span></p>
<p><span style="font-size: large;">1. Om die uitvoerwaarde te bereken word <span style="text-decoration: underline;">5 van die invoerwaarde afgetrek en dan word die resultaat met</span><span> </span><span style="text-decoration: underline;">3 vermenigvuldig.</span></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mn>3</mn><mfenced><mrow><mi>x</mi><mo>-</mo><mn>5</mn></mrow></mfenced></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16855-13837 -->
 <question type="shortanswerwiris">
    <name>
      <text>Identifiseer watter...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Interpreteer die formule en sê watter invoergetal die stelling «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mn»3«/mn»«mi»x«/mi»«mo»+«/mo»«mn»2«/mn»«mo»=«/mo»«mn»71«/mn»«/math» waar sal maak.</span></p>]]></text>
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      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>&#215;</mo><mn>23</mn><mo>+</mo><mn>2</mn><mo>=</mo><mn>71</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;&amp;#215;&lt;/mo&gt;&lt;mn&gt;23&lt;/mn&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;71&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_1</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16856-13838 -->
 <question type="shortanswerwiris">
    <name>
      <text>Identifiseer...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Identifiseer die invoergetal wat die stelling «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mn»3«/mn»«mi»x«/mi»«mo»+«/mo»«mn»2«/mn»«mo»=«/mo»«mn»260«/mn»«/math» waar maak.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mn>3</mn><mo>&#215;</mo><mn>86</mn><mo>+</mo><mn>2</mn><mo>=</mo><mn>260</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;&amp;#215;&lt;/mo&gt;&lt;mn&gt;86&lt;/mn&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;260&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_1</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16857-13839 -->
 <question type="multianswerwiris">
    <name>
      <text>Ontleed die verwantskap...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Ontleed die reël en bereken wat die verwantskap is.</span></p>
<p><img src="@@PLUGINFILE@@/16.jpg" width="231" height="57" alt="q16" style="border: 2px solid black;" /></p>
<p><span style="font-size: medium;">1.  Indien die invoergetal 5 is, sal die uitvoergetal {#1} wees.</span></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
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    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:NM:=30}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_4</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16858-13840 -->
 <question type="shortanswerwiris">
    <name>
      <text>Ontleed...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: center;"><span style="font-size: large;"><strong>Ontleed die probleem en herskryf dit volgens 'n formule.</strong></span></p>
<p><span style="font-size: medium;"><strong>1.  'n Selfoon maatskappy verkoop in hulle eerste jaar 2 miljoen selfone.  Elke jaar daarna verdubbel die verkope van selfone. Dit word in 'n tabel voorgestel. Herskryf die probleem deur 'n formule te gee.</strong></span></p>
<table style="width: 100%;" border="2">
<tbody>
<tr>
<td style="text-align: center;"><span style="font-size: medium;">Aantal Jare</span></td>
<td style="text-align: center;"><span style="font-size: medium;">1</span></td>
<td style="text-align: center;"><span style="font-size: medium;">2</span></td>
<td style="text-align: center;"><span style="font-size: medium;">3</span></td>
<td style="text-align: center;"><span style="font-size: medium;">4</span></td>
<td style="text-align: center;"><span style="font-size: medium;">5</span></td>
<td style="text-align: center;"><span style="font-size: medium;">6</span></td>
<td style="text-align: center;"><span style="font-size: medium;">7</span></td>
</tr>
<tr>
<td style="text-align: center;"><span style="font-size: medium;">Selfone in Miljoene</span></td>
<td style="text-align: center;"><span style="font-size: medium;">2</span></td>
<td style="text-align: center;"><span style="font-size: medium;">4</span></td>
<td style="text-align: center;"><span style="font-size: medium;">8</span></td>
<td style="text-align: center;"><span style="font-size: medium;">16</span></td>
<td style="text-align: center;"><span style="font-size: medium;">32</span></td>
<td style="text-align: center;"><span style="font-size: medium;">64</span></td>
<td style="text-align: center;"><span style="font-size: medium;">128</span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><msup><mn>2</mn><mi>x</mi></msup></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/msup&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16859-13841 -->
 <question type="essaywiris">
    <name>
      <text>Ontwerp 'n tabel...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Ontwerp 'n tabel vir die volgende vloeidiagram.</span></p><p style="text-align: right; "><span style="font-size: large;"><img src="@@PLUGINFILE@@/videotuts%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/help%20%28Copy%29.png" alt="" width="46" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><img src="@@PLUGINFILE@@/canstock29444844%20%28Copy%29.jpg" alt="" width="50" height="46" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></span></p>
<p><img src="@@PLUGINFILE@@/4crop1.png" width="290" height="150" alt="vloei3" style="border: 2px solid black;"></p>]]></text>
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      <text><![CDATA[<p>Die volgende vraag word gemerk deur na die invoer en uitvoergetalle te kyk en te sien of leerders wel die reël korrek toe gepas het.</p>]]></text>
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</file>
      <answer>
        <text>5x+2</text>
      </answer>
    </subquestion>
    <subquestion format="html">
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8P/wDBS/4E+LviingnR/iVoOseLJbu/sIdL09Zrq4uLixt0uLmKMRo3mOkUikKmS53Km5lZQeEP+Ck3wX8bfs+6p8VLTxdcWvw/wBFvE0671nU9C1HTIUuGuRaiJVuYI3dhORGwRTtY4bFeB/8EW/FvhPxb43/AGrfsGp+HdT1aX49+JNSt/s9xDNcPaGCxjSdNpLGIs8ihx8uWcA8kV5z8Pv2LZvjP+0F+0x+zTr9jdL8K4fEOofEK2uiP3CzeIdOEdrbRAYGy3uTqVwFAwkkUBBY8qAffWo/tLeD9J+O8Pw1uLzVIfF02lSa4sDaLffYxZRkB52vPJ+yqqsyqd0oO5guMnFYPwd/bn+Fvx78YafoPhfxLLealrWmvrGlJdaTe2EWt2SMqvc2UtxDHHdxKXTLwM4AYHODmvmf/gnR8U/iDqP7HXjb4s+MvCGqan8Qvh34Yl8CW+in/X65ceHorhbloupD3d+ZYzkAkwJ8oAAHh/wt/aBtfj7+3z+wx49bxJqHiJbnw/4nj1b7Fo/2Lw/4XvbjTbWJdJto0QmKSGYmKRZZJJBiPc4XaqgH6CQ/t3/Cuf4n2/hH/hJ5I9WvNdm8L280uk3sWm3OrRBzJp8d+0ItHul8uQGFZS+5GXGRiqPx7/4KN/A79mDxbdaD49+JXhvw3rFjYrqNxZzyu8sFu1xFbq7hFbbmWeMYPOCzY2ozL+c/x/8A2t7j9p3QPg5r+tSahpGv+Ef2k9HbxD4E0/S9tv4As7bV7gC5v2WMyPdTRxrMZC5RhPJ5cYCu1fSHiHx14O1X/g4a0q11DVvDczSfAObTo4Lq5hLG7m1+FktwjHPnPEzER43MjHggmgD6e+K37XHgTwTrt/4Xk13xBN4ggsEvbqPwv4cvvEN1pEMoPlTzLaW1ysAcKzJ56gOFYgMAa8T/AOCYH7ct58Q/+CXXw/8Ait8X/FTalrniDUNT0975NNUXOqzLrV7aWkEFpZxAyzNHFGixwxF32k7ScmuF/YW+L+n/ALIX7XH7Tngf4u3n/CP+LPHPxJuvGXhW/vo2A8XaPdW8KWlrYELm6mtUgMZhi3SAsQFOGr5R/ZzsNe8If8E+/wBjzxhJqfi7w94S+EPxC8Ur45l0rSIpr7w19vu9UhtNUkhu7adRFALnLMYH2pdFhsZQygH6+fCT46+GPjha6m/h2+upp9EuVs9Ssr7T7nTb/TZmjSVUntbmOOeItHIjrvQblcMMg5rrq+d/2I/BXw+v/HPjz4leC/ixrPxh1D4gW2lQ6prc93YXNiEs1uUt44GsLaC3WQLNIJFALjEe4LkbvoigArw79k3/AJL1+05/2Uuz/wDUO8M17jXh37Jv/Jev2nP+yl2f/qHeGaAPcaKKKACiiigD5L/4LMftG/Fj9kn9iTxl8RvhnqfhPRz4Ws4ZrmfU9Nk1C8d5bqG3VYE3pCmPNDF5BKMAjy+jD60r4f8A+DivxjpHh/8A4JF/FrT7/VNNsdQ1i1so7C2uLlI5r5k1OzZliRiDIVHJCg4HNfZ3hDxpo/xB8PW+r6Bq2m65pN4u6C90+6S5t5x6rIhKsPoaANKiiigAooooA8O8ff8AKSf4Tf8AZNPGv/p08JV7jXh3j7/lJP8ACb/smnjX/wBOnhKvcaACiiigArg/2mf2i/Df7J/wO8QePvFk00ej6BAHaK3j8y4vZnZY4baFOrzSyukaKOrOOnWu8r42/wCC3Xwg1r4sfs2fD+4sYdevPDfg34neHvEvjK10bzDfXGhW87rdmNYiJGaPzI5vkyy+TuGNuQAe6/s/aF8UNWuF8V/EbXrXT5tWsv3fgnSbSFtP0EuyOoku3U3F1cxqCjSK0ULF3xDwjD1Svz/8A+APB8P/AAVd+GPiD9mdvDa+Bbnw7rh+LR8JXMTaBLlIl0oypbt5H9oNciUk4MxjjYtxzX6AUAFFFFABXh3/AAUK/wCSC6B/2UvwB/6mOjV7jXh3/BQr/kgugf8AZS/AH/qY6NQB7jRRRQAUUUUAcn8efirb/An4G+NPHF1azXtr4N0K+1ya3iB8ydLW3edkXAJ3MEIGAeT0NfEPxD/bP+KvwB/4Ju+Bf2tNc8bNr+n6pFoPiHxP4Mj0yyj0i30nVZoI2gspFgF4tzAt3CQ8txIrNHJlMMAv6A61o1n4j0e70/ULW3vrC/he3ubaeMSRXETqVdHU8MrKSCDwQa/OT4h/sJ+Ev2mfDXgb4K/CbxR408RfA/SfElrresSPqiXXhnw5p9pJ5/8AZ1hdCPzbyaeXYixvPcR20Ydv3Z8tWAP0kooooAKKKKACvDv+CY3/ACjY/Z6/7Jp4b/8ATXbV7jXh3/BMb/lGx+z1/wBk08N/+mu2oA9xooooAK5f4v2/jS78FzQ+Abrwzp/iGVwsd1r1rPdWdsuDlzDDJG8pB2/L5iAgn5hjB6is3xf400f4feHrjV9f1bTdD0mzXdPe6hdJbW8A9WkchVH1NAHzD/wTs/az+JH7Tf8AwSY8P/Fy8sNN8UfE7WNC1jUbXT4kFja6jew3N4lrbDbny0byoo93JA5JJyT558ePir+0B+xt+1H+zta6h8UbX4nab8YfFSeGPEHhd/DFnYw6ephMk19YSwqLhYoFDMyzyTHaFy3XOJ/wRN/ak8A/Aj/ghR4H8WeJPFGj2mj/AA/0nULnXjHcpLNp+dTvDHG8ancskhIVEIBdmUDJIqr8H/8AgpT+z/8AEH4vQ/FbXfiJ4X8YfGHVbYeHvA/gjSLo3k2gw3UsapYW5C7HvrmXyvtFwPlAVY1JiiLSAH6MUUUUAFFFFAHh37Jv/Jev2nP+yl2f/qHeGa9xrw79k3/kvX7Tn/ZS7P8A9Q7wzXuNABRRRQBDftcLYTG1WFroRt5KysVjL4+UMQCQM4yQCcdq+V/2JP2i/il8Q/26f2kPhx8RtV8Maha/DO38Ly6RFoelvZ29r/aNtezygtJJJLK2I4VLswBKEqiAkV9XV8G/sMfGXwfr/wDwWV/bGhsfFXhu9m1yz8Drp0cGpwyNfmDTLwTiEKxMnlllD7c7SwzjIoA4HQv+Ci/xI+J37P3xe8fWfjiTw38Xvh/4ruNG074Mvp2nybil3HDZ2VxG0LX8012px50E6R75DsUCMg/pZZSyT2cLzReRM6Bnj3bvLYjlcjg4PGa/H/x38NvC/wARv2JfEXjj4iaxdeG/29vC95rF/YTabfvbeLW1iK6lXT7GytQQ9xp0kItYo0SN4TFKzr87Ox/Vj4B3Piu8+BXgubx5Da2/jiXQbF/EUVtjyY9RNvGbpU28bRNvAxxjFAHWUUUUAFeHePv+Uk/wm/7Jp41/9OnhKvca8O8ff8pJ/hN/2TTxr/6dPCVAHuNFFFABRRRQB86/Hrwv8b/if4i8eN4e+I9v8FPDPhWCNNB1CLRbLVpNcl+ypcT3d0bpXWO1R3MHlxqkhMEz+ZhkC/Ov7Of/AAVA+KHx9/ZG/ZXt77T9P8O/Fr9o7Wb+wa/jsC1vZaVp32iW81OGByVEz20UZjWTMe+bzNrxrsbpv27P+Ci3wT8WfFnW/gP4u+L3h/wD4d02NI/Hc73/AJN7qkcqknRbcqC0YkQj7TMCpSNxFHmSR3g5f4s/EDwv8bfjJ+zD+0N8MLRdQ+DvwF8Wax4QnvtOtG+wjStR0mKxfUoUUApZWlwogdyoCCJ34iQsQD3TTvjx4q/Zv/b98D/B3xd4r1Lxx4d+Lnh7UdQ8NarqthZwalaanppSS6tXazhggeBrWVZFJiDq0bAs4dQv1FXxT4rSw/bW/wCCrnwJ8aeBdS03xL4H+A/h7xFqOo+ItMmF5ps9/q0MVjFYRXMbGJ51jjkldFLFE27gpkTP2tQAUUUUAFeHfsm/8l6/ac/7KXZ/+od4Zr3GvDv2Tf8AkvX7Tn/ZS7P/ANQ7wzQB7jRRRQAV4d/wT1/5ILr/AP2Uvx//AOpjrNe418V/sLfsLeCfE/wU1y5udc+McckfxC8b2gFp8W/FdnGUg8V6tChKRaiqmQrGpeQgvK5aR2d3ZiAfalFeHf8ADvXwF/0H/jj/AOHp8Y//AC0o/wCHevgL/oP/ABx/8PT4x/8AlpQB7jRXh3/DvXwF/wBB/wCOP/h6fGP/AMtKP+HevgL/AKD/AMcf/D0+Mf8A5aUAe40V4d/w718Bf9B/44/+Hp8Y/wDy0o/4d6+Av+g/8cf/AA9PjH/5aUAe40V4d/w718Bf9B/44/8Ah6fGP/y0o/4d6+Av+g/8cf8Aw9PjH/5aUAe40V4d/wAO9fAX/Qf+OP8A4enxj/8ALSj/AId6+Av+g/8AHH/w9PjH/wCWlAHuNFeHf8O9fAX/AEH/AI4/+Hp8Y/8Ay0o/4d6+Av8AoP8Axx/8PT4x/wDlpQB7jRXh3/DvXwF/0H/jj/4enxj/APLSj/h3r4C/6D/xx/8AD0+Mf/lpQB7jRXh3/DvXwF/0H/jj/wCHp8Y//LSj/h3r4C/6D/xx/wDD0+Mf/lpQB7jRXh3/AA718Bf9B/44/wDh6fGP/wAtKP8Ah3r4C/6D/wAcf/D0+Mf/AJaUAe414d+yb/yXr9pz/spdn/6h3hmj/h3r4C/6D/xx/wDD0+Mf/lpXjn7Mn7C3gnWvjX+0TbTa58Y0j0j4hWlpAYPi34rt5JEPhTw9MTM8eoq08m6ZwJJS7hBHGGCRxqoB9qUV4d/w718Bf9B/44/+Hp8Y/wDy0o/4d6+Av+g/8cf/AA9PjH/5aUAe40V4d/w718Bf9B/44/8Ah6fGP/y0o/4d6+Av+g/8cf8Aw9PjH/5aUAe40V4d/wAO9fAX/Qf+OP8A4enxj/8ALSj/AId6+Av+g/8AHH/w9PjH/wCWlAHuNFeHf8O9fAX/AEH/AI4/+Hp8Y/8Ay0o/4d6+Av8AoP8Axx/8PT4x/wDlpQB7jRXh3/DvXwF/0H/jj/4enxj/APLSj/h3r4C/6D/xx/8AD0+Mf/lpQAePv+Uk/wAJv+yaeNf/AE6eEq9xr4r8b/sLeCbb/goF8MdJXXPjGbW9+Hvi+7kd/i34re5V4dS8MIgSc6iZY4yJ33xo4SQrGzqxijKex/8ADvXwF/0H/jj/AOHp8Y//AC0oA9xorw7/AId6+Av+g/8AHH/w9PjH/wCWlH/DvXwF/wBB/wCOP/h6fGP/AMtKAPcaK8O/4d6+Av8AoP8Axx/8PT4x/wDlpR/w718Bf9B/44/+Hp8Y/wDy0oA9xorw7/h3r4C/6D/xx/8AD0+Mf/lpR/w718Bf9B/44/8Ah6fGP/y0oA9xorw7/h3r4C/6D/xx/wDD0+Mf/lpR/wAO9fAX/Qf+OP8A4enxj/8ALSgD3GvDv+ChX/JBdA/7KX4A/wDUx0aj/h3r4C/6D/xx/wDD0+Mf/lpXjn7dP7C3gnwx8FNDubbXPjHJJJ8QvBFoRd/FvxXeRhJ/FekwuQkuosokCyMUkADxOFkRkdFYAH2pRXh3/DvXwF/0H/jj/wCHp8Y//LSj/h3r4C/6D/xx/wDD0+Mf/lpQB7jRXh3/AA718Bf9B/44/wDh6fGP/wAtKP8Ah3r4C/6D/wAcf/D0+Mf/AJaUAe40V4d/w718Bf8AQf8Ajj/4enxj/wDLSj/h3r4C/wCg/wDHH/w9PjH/AOWlAHuNFeHf8O9fAX/Qf+OP/h6fGP8A8tKP+HevgL/oP/HH/wAPT4x/+WlAHuNFeHf8O9fAX/Qf+OP/AIenxj/8tKP+HevgL/oP/HH/AMPT4x/+WlAHuNeHf8Exv+UbH7PX/ZNPDf8A6a7aj/h3r4C/6D/xx/8AD0+Mf/lpXjn/AATt/YW8E+Lv+CfvwL1a61z4xw3WqfD3QLuZLL4t+K7G2R5NNt3YRQQ6ikUMYJO2ONFRBhVUAAAA+1KK8O/4d6+Av+g/8cf/AA9PjH/5aUf8O9fAX/Qf+OP/AIenxj/8tKAPcaK8O/4d6+Av+g/8cf8Aw9PjH/5aUf8ADvXwF/0H/jj/AOHp8Y//AC0oA9xorw7/AId6+Av+g/8AHH/w9PjH/wCWlH/DvXwF/wBB/wCOP/h6fGP/AMtKAPcaK8O/4d6+Av8AoP8Axx/8PT4x/wDlpR/w718Bf9B/44/+Hp8Y/wDy0oA9xorw7/h3r4C/6D/xx/8AD0+Mf/lpR/w718Bf9B/44/8Ah6fGP/y0oAP2Tf8AkvX7Tn/ZS7P/ANQ7wzXuNfFf7Mn7C3gnWvjX+0TbTa58Y0j0j4hWlpAYPi34rt5JEPhTw9MTM8eoq08m6ZwJJS7hBHGGCRxqvsf/AA718Bf9B/44/wDh6fGP/wAtKAPcaK8O/wCHevgL/oP/ABx/8PT4x/8AlpR/w718Bf8AQf8Ajj/4enxj/wDLSgD3GivDv+HevgL/AKD/AMcf/D0+Mf8A5aUf8O9fAX/Qf+OP/h6fGP8A8tKAPcaK8O/4d6+Av+g/8cf/AA9PjH/5aUf8O9fAX/Qf+OP/AIenxj/8tKAPcaK8O/4d6+Av+g/8cf8Aw9PjH/5aUf8ADvXwF/0H/jj/AOHp8Y//AC0oA9xrw7x9/wApJ/hN/wBk08a/+nTwlR/w718Bf9B/44/+Hp8Y/wDy0rxzxv8AsLeCbb/goF8MdJXXPjGbW9+Hvi+7kd/i34re5V4dS8MIgSc6iZY4yJ33xo4SQrGzqxijKAH2pRXh3/DvXwF/0H/jj/4enxj/APLSj/h3r4C/6D/xx/8AD0+Mf/lpQB7jRXh3/DvXwF/0H/jj/wCHp8Y//LSj/h3r4C/6D/xx/wDD0+Mf/lpQB7jRXh3/AA718Bf9B/44/wDh6fGP/wAtKP8Ah3r4C/6D/wAcf/D0+Mf/AJaUAe40V4d/w718Bf8AQf8Ajj/4enxj/wDLSj/h3r4C/wCg/wDHH/w9PjH/AOWlAHuNFeHf8O9fAX/Qf+OP/h6fGP8A8tKP+HevgL/oP/HH/wAPT4x/+WlAHuNeHfsm/wDJev2nP+yl2f8A6h3hmj/h3r4C/wCg/wDHH/w9PjH/AOWlYf7Avw9sPhV8Rv2kNB0u41y6sbD4l23lS6xrV5rN62/wj4bkPmXV5LLcSYZiBvkbaoVRhVUAA+jaKKKACvDv+Cev/JBdf/7KX4//APUx1mvca8O/4J6/8kF1/wD7KX4//wDUx1mgD3Gvmb9pH9p/4g/Cz/goT+z/APC/RJvBv/CJ/F6HxBNqEl9o9zNqNkNLtILjEUqXaR/vTMVy0R2bc4bNfTNfGP8AwUAmh8Af8FK/2NvHutTR6b4T0m/8V+HbzU5zttrW91LTIVso5H6L5r27opPG7AyMigD2D9qT4nfEbwB8Yvgzo/g7UPBNro/xC8UTeHdUGs6JdX1zAI9J1LU/NgeK7hUErpzRbXRsGUNkgbT1Hwx+L+v+Mvjt8SPCmq+HtH0rS/B7ac+j6hbeIYL661mG5hdnkms0Als9ksbxr5uRLtZlOFNch+0PeQ+M/wBrL4B+HdPcXWqeF/EOo+MdTiiIc2Ngug6ppivLzlPMuNTgVM/f2SYzsYjwz9kb4a+HPEP/AAVe/bo8P6h4f0W+0HU7LwH9s024sYpbO736bfO/mRMpR9zEsdwOScnmgD6A+Ef/AAUD+FXxY/ZU0P40y+KdN8G/DzxFNNDZan4qvINHjcx3M1su5pZAq+Y0LMilgxUjKq2VHYan+038NtE0zw7e3nxC8D2dn4umFvoU82u2scWtSkkbLVi+JmyCMR7jwa+Df+CNX7Hvw5/aE/4IcaJ4Xv8Aw74btNY+IXh7V/D/AIh1K3sIU1N2XULtE8+RQJGeBvKZVc5QonTiu8/4Ji+PNe/av8MeA9F8cWdx/bX7MIufD3iQzp+7u/FNuZtNjkU4G7y7BZJycYJ1SAg5jOAD658bftJ/Dr4aeLrfw/4j8feCvD+vXm0wabqWuW1reT7uF2xSOHbJ6YHNavxJ+LXhX4M+H11bxh4m8P8AhTSmlWBbzWNRhsbdpCCQgklZV3EA4GcnBr4k/wCCWV3oep/8Ew/iPJ8bI7aHxRJrfin/AIXAmq7RLHcm5n3rOX52Cw+yiPdx5YTb8uK+cv2C9f8Ajf4Q+L/7J1n8SPFeleFb/WPgvqNp4ZvfG2j3GpwS6k2sNI1sIxeWrLenSF03DO7NsjkXbliQAfrUfip4XHgSLxR/wkmg/wDCMzxCePV/7Qi+wSRno4n3eWVPYg4NcprP7ZXwg8O65Z6XqHxW+G1jqWpXE9paWlx4msop7qaCQxTRRo0gZnjkVkdQCVZSCARivgr/AIKg/swwfAb/AII0/Gyz1LxRo/jjVm8e2fiGK5stLTT4fDNxf+IdMkns7SITTPbKDJI2PMLnz2yfm59O/wCCofwB8G/sgfAX4ffFrwF4V0HwbY/BH4mab431iHQ9Mjtln0+5kWw1X93EoG6S3mRmYKzH7OvBoA+ztc+LvhPwxb69NqXifw7p8XhVI5dae51GGFdISRd0bXJZh5IZeVL4yORWJqn7VXwv0T4faT4tvfiR4Cs/Cuv5/szWp/EFpHp+o4znyZzJ5cmMH7rHoa/O74gaX4w/Zq/aZsdceLVlvv25PC8/h/Ubco066D4iacNp7SIAQFttLvJIWz8uNOLEnnd9MfHT4q+E/hT+1Z8MfhDoum+EfC2taB4C1LVdO8V+IoPMtPD2jxvaWktnZRl4xNcy+XEWXeBHFBuZXDbSAfTWo/Ezw3pHgP8A4Sq78QaHa+F/s6Xn9sTX0SWHkPgpL55by9jblw27ByMHmo/h58WvCvxd8MNrfhPxN4f8UaKsjRNf6TqMN7ah1wWUyRsy7gCMjORkV+Yv7B/7R3hP4Yf8EO/gDba5omh+KpPE3xFPhXSLbXZSunaHfv4k1CaxuL07S0UVutujqpVclIkGwNuX1b/gmne6f4+/4KH/ALb2g6trXh/xrY3mreGJp44LFIdNvJRpOy6aO0Z5BtWRUjZizliiFnYkEgH3F4T+L/hPx7rMunaH4o8O61qEFuLyW1sNShuJo4DLJCJSiMSEMsUqbiMbonXOVIHzD+15/wAFNNN+GHxX+C+g/DXxx8J/GE/jn4l6X4I8RaPHeLqOp6da3P2jzrlPs90piaNoUT95E6hpOeyn4l+AXwdn8J/8Gv8AffET4X+F9PtfjBqngm9sLzxBp9mE1m50pdck+2Rm4QCVlSzjlKjcdojXA4Ar37/goN47+GOofDL9g2bwPe+HYPDc3xh8LXnh1IJYV8nSY7S6Vym04WOMmBZMHCttB5AoA+7fG/7QfgH4Z+LNP0HxJ448IeH9d1YKbHTtS1m3tLu8DNsXy4pHDvlvlG0HJ46119fmj8B/BXjj9onx/wDtpfC3xB4+8B+FtZ8QeN9Vh1Ox8QeFZdV1ZvDtxZRRaXdwSf2jBGLdbNVEYMDKkkcjEktiv0L+D2gN4U+EnhbS312bxQ2m6RaWrazKwaTVykKL9qYgkEy43kgkZbqaAOjrw79k3/kvX7Tn/ZS7P/1DvDNe414d+yb/AMl6/ac/7KXZ/wDqHeGaAPcaKKKACiiigD5l/wCCqv7aPjr9g/8AZW8SfEXwf4I0PxPB4ctY7i8utX1ZrW3tPMnjgQLDGjSTsWkX5d0SgEnzMjafpqvjH/g4U/5Q5/Gv/ry0/wD9OlnX2dQAUUUUAFFFFAHh3j7/AJST/Cb/ALJp41/9OnhKvca8O8ff8pJ/hN/2TTxr/wCnTwlXuNABRRRQAV8c/FP9rv44fsveLfgK/wAQtP8Ahtqlp8Y/GFn4N1Lw/oFldpqHhq4u4pJFmS8kuXS8ig8phKwtohggggYz9Z+NfGOnfDzwbq3iDWJ2tdJ0Oym1C9mWJ5jDBEjSSMEQM7YVSdqgscYAJ4r4Y/4KBanpfw3134I/tAfCbWLrxR4y8X+MdK0fR7K7v5tcsNf0zUt32lbG3uHcWTfZ8ymWyEJCxESbkytAH1B+0B+01J8OPHfh34f+E9Jt/FXxO8YRTXenaVNefZbWwsoSon1G9lCu0VrGzog2I7ySyIiryzp33w3tvElp4Lso/F97oeoeIvnN3Po9lLZ2Ry7FFjjlllcbUKKWLneyswVAwRfhfwt8CZPjN/wWn/aQs/HXiLxdoMNx4I8MjwXBoWtXehXd7pYSYXc0d1avFOVgv94KLJsLXC71bam31f8A4I//ABM8d/Eb9nXxhD431rVPFlv4T+IOveG/C/ifUQv2nxTolpcCO1vnZVVZCx81N4zu8rOScmgD6tooooAK8O/4KFf8kF0D/spfgD/1MdGr3GvDv+ChX/JBdA/7KX4A/wDUx0agD3GiiigAooooA+a/Gf7Xfibxj+3vqHwD8E3Hhbwzqnh/wjB4tvdW8RadNqX9opNcmFYLS1iubYlUClnmMpAZlURnlqwNN/b+8e+IP+Cd2ofGDSPhzpOoeIdBt9cOq2lxrTWOlR/2VNcwzXUMvlSSzQy/ZmkiRUJIYKXH3680/aQ/Zz0b/got/wAFIPG3w8+IEur+Cv8AhVvg7TtT8AavoEy6frd++oG4W+v47sAu0VtJFFB9nP7otKzOjEoRm/s0/Fnxl8Sv+CLH7QGk+Mv7N1Bvhrp3jLwLo2vadYpZWfinTdNspbeDUIoY/wB2isQ8eEAX9wSBzQB9m/si/GG+/aG/ZQ+GHj/U7W1sdS8c+EtK8QXdva7vIt5ruzindI9xLbFaQgZJOAMk16HXh3/BMb/lGx+z1/2TTw3/AOmu2r3GgAooooAK8O/4Jjf8o2P2ev8Asmnhv/0121e414d/wTG/5Rsfs9f9k08N/wDprtqAPcaKKKACvmH4T/trePPFn/BSDWPgj4q8B6J4U0yz8ADxvYXUOtHUr27jfURZIJQsaRQnKTExqZeiHzOSo+nq+LGeaP8A4ODtWa3jiluF/ZytzEkkhjR3/wCEkuMBmAYqCepCnHoelAHY/t6/t+ap+y/8SfhN4V8K6PputXnjb4g+HvC2v3V75hg0S01O7MQ2hCu66kjjnaNSdqCIu4IMaSe+/Fv4m2vwk8EXGr3EE19cb0trCwt8faNTu5WCQW0WeN8jkLk4VRlmIVWI/L39vnwl+0b8NvBXwHh8ZeGvgrc6tqv7QPhjV11TTPF2pTSavrj3DiBblZNMj8q0EaJDuQyPFFDCqpJtr7L+LPhP9pLW/jB4P8TaJ4Z+COqWfh/QEzp+reL9TtY7HXJkZLy4hMelyGRFiYwQyNsfy5ZyUXzdqgG//wAEwv2r9e/bf/Yk8J/E7xNp2j6TrHiK71aKW00vzTawJa6reWkQUyEux8uBCzHG5ixCoCFHvtfBf/BuTe+Mrn/gmj4Xj1zTPDNn4VivNWPh6ex1Oe51C5J1vUzdC7ieCOOLZLhYzHJJvXLMIz8tfelABRRRQB4d+yb/AMl6/ac/7KXZ/wDqHeGa9xrw79k3/kvX7Tn/AGUuz/8AUO8M17jQAUUUUAfHP7cP7Xfxw/Yn+Cmt/FjVdP8AhtqHhfRfFcOmJ4St7K7k1nU9Mn1JbK3mivvtIiF3JHJFMYBaMFBZdxIJHuH7Q3j/AOJGn+MvC/hL4a6LoT6p4itb+/vPEGvpNNpOhQWv2dQrwwukk080l0gjjEkY2xTsW+QK3y7/AMFNfF3gvx9+xPcftL/DjxZeal4l8EXFvqHhBp7q4vtIvNSjvEtltG0i6JgFy8m+EMkMd1G7ZR1br9DfHH9r7/hTXw68I2dzFotp8TvHlkv9l6Nqd6tnZ2k4iRrie6kYgx2tuzjeRl2JSNA0jqCAcb/wTv8A20fHX7Q/xM+NPw3+JWh+GrHxp8FNbtdLvNT8OGddJ1qK6heaGSKOctJE4VMvGZH271GT1Lvh3+35qnxQ/wCCndz8GdM0fTV8C23w+vfFMGtv5hu9Vu7fVbawbyeQgtVZ7hNxVmkeLcpEYUycn4O+H8Xw5+BHiv4Z/Anxn4T8Z/GzxoJvFfijxPf6u1st7Pc3Ucd3dzT2sVybaRo2kjtIwhEawDGRES3ivwxg+NPhT/guX4L0m88E/BvQ7jTPggNOlsNH8UahNp9j4dTxBaoz25fTo2a7jK7UgZViZcZmQjBAP04ooooAK8O8ff8AKSf4Tf8AZNPGv/p08JV7jXh3j7/lJP8ACb/smnjX/wBOnhKgD3GiiigArL8b+NdM+HPhDUte1m6Wz0vSYGubmYqW2oozwqgszHoFUFmJAAJIFaleD/tieB/jF418W+BpPhzpPw11vw/oN2+q6rYeKtfvdLF5eRlDYkfZ7G53pC++bDFT5qQMP9XyAcv+wp+3tqn7RXw2+OXir4gaRpXgfT/hL481fw40KO7PY6fYWVpcPJduWKtOpmm3mMBAFAXdt3vx9x+3r8VD+w+P2nIdD8IL8PBp48Snwa9jcnXW0Lzebn+0ftHki4+y/wCk+T9kKg/uvNP+trwP9gHwJ8XPjt8Cf29PBNxo/gbTY/GHjfxxpT3Gna9dT3Vv4judNsoPJiWS0jRrEB9yzs6y7sAwgfNXff8AC4NN/wCIa7ydsn9p/wDCov8AhXP9nf8AL1/bf2H+xPsXl/e8/wC2fJ5WN2eMZoA94g/bS1P9on9pO4+Gvwb1Hwn5eieE9P8AFuteKNVsptUtLePUMtYWkVrDPbs0k0CtOZGmUInl4Ry5KdN+xt+1fd/H7WviR4O8TWmmab8QvhH4hOg69b2Dv9lu45Ilns7+FHJeOK4hcMI2ZijJIu9wodvlr/glR8Edb/Yx/bw+IngPxkwi1Pxl8Kfh/c6MzXHmJdLoWlf2TqEcbYAZo7hkZgvRZkYgbxXo/wDwTo8P3Hi//goB+2V8VLMeZ4U8YeJ9C8NaXciTdHdz6Jpn2S8ePjBVZ5DHuBILROvBQ0AfZ1FFFABXh37Jv/Jev2nP+yl2f/qHeGa9xrw79k3/AJL1+05/2Uuz/wDUO8M0Ae40UUUAFeHf8E9f+SC6/wD9lL8f/wDqY6zXuNfOXw9/YF8R/CrQLjS9B/aQ+ONhY3Wp6hrEsX2DwjLuur68mvrqTL6GxHmXFxM+0Hau/aoVQFAB9G1l+M/BGi/EfwzdaL4i0fS9e0e+XZc2Go2qXVrcLkHDxyAqwyAcEHpXkX/DJvj3/o5344/+Crwd/wDKGj/hk3x7/wBHO/HH/wAFXg7/AOUNAHovwj+AngX9n/RZtN8B+C/CfgnTrl/NmtdA0i302GV+fmZIUVSeTyR3NQ+Fv2dfh94G+IepeLtE8C+DdH8Wa0c6hrVjottb6jfnGP3s6IJJOCR8zGuA/wCGTfHv/Rzvxx/8FXg7/wCUNH/DJvj3/o5344/+Crwd/wDKGgD07wX8HvCPw31fVNQ8O+FfDmg3+uTNc6jc6dpsNrNfysctJM8agyMTyWYkk1q6J4Y03w0982m6dY6e2pXLXt4baBYjdTsFDSybQN8hCqCzZJCjngV45/wyb49/6Od+OP8A4KvB3/yho/4ZN8e/9HO/HH/wVeDv/lDQB3niv9mz4dePPHEHifXPAPgrWvElrsMOrX2h21xfRbPubZnQuNvbB47Vq/Ev4TeFfjR4Yk0Txj4Z8P8AizRZm3PYazp0N/aucEZMcqspOCR07mvLv+GTfHv/AEc78cf/AAVeDv8A5Q0f8Mm+Pf8Ao5344/8Agq8Hf/KGgDtvFP7Lnwy8c/Dux8H638OvAmseE9NwLPRL7QLS4061wQR5du8ZjTBAPCjoK3bj4XeGbzwHJ4Vm8O6DL4YljML6Q9hE1g6FtxQwFfLKlucYxnmvLP8Ahk3x7/0c78cf/BV4O/8AlDR/wyb49/6Od+OP/gq8Hf8AyhoA9i1rwrpfiS70241HTbC/uNFuvt2nyXNukr2Nx5UkXnRFgTHJ5csqblwdsjrnDEHK8cfBrwf8Ttb0PUvEnhTw34h1Lwzc/bNHutT0yG7n0mfj97bvIpaJ+B8yEHgc15l/wyb49/6Od+OP/gq8Hf8Ayho/4ZN8e/8ARzvxx/8ABV4O/wDlDQB3+o/s6fD3WPAF94TvPAng268LapIZb3RptFtpNPu3Lbi0kBTy3bdzllJzzU0XwE8CwDUPL8F+E0/tW1jsr3bpFuPtkEaKkcMnyfPGiIiqrZACKAAAK86/4ZN8e/8ARzvxx/8ABV4O/wDlDR/wyb49/wCjnfjj/wCCrwd/8oaAPR/hV8CvBHwJ0B9J8D+DfCvg3S5Dl7PQ9Jt9Ot2OWPKQoqnl2PTqx9TWTpn7J3wr0SK6js/hn8P7OO+vk1O5WHw7aRi4u0Dqtw4EfzSqsjgOcsA7DPJrjv8Ahk3x7/0c78cf/BV4O/8AlDR/wyb49/6Od+OP/gq8Hf8AyhoA7/4gfs6fD34s6/pmreKvAng3xNqmisr6dearotte3Fgy5IMUkiM0ZGTgqRjJrslUIoVRhRwAO1eHf8Mm+Pf+jnfjj/4KvB3/AMoaP+GTfHv/AEc78cf/AAVeDv8A5Q0Ae414d+yb/wAl6/ac/wCyl2f/AKh3hmj/AIZN8e/9HO/HH/wVeDv/AJQ1h+E/2BfEfgbX/E+qaX+0h8cbW+8ZammsaxL9g8Iv9suks7axWTDaGQmLeztk2oFX93uxuZmIB9G0V4d/wyb49/6Od+OP/gq8Hf8Ayho/4ZN8e/8ARzvxx/8ABV4O/wDlDQB7jRXh3/DJvj3/AKOd+OP/AIKvB3/yho/4ZN8e/wDRzvxx/wDBV4O/+UNAHovxZ+A/gf4+aLHpvjrwZ4T8aadCS0drr2kW+pQoSVJISZGUcqp4HVR6Ctrwh4L0f4feHrfSNA0nTdD0mzXbBZafapbW8A9FjQBVH0FeQf8ADJvj3/o5344/+Crwd/8AKGj/AIZN8e/9HO/HH/wVeDv/AJQ0Ae40V4d/wyb49/6Od+OP/gq8Hf8Ayho/4ZN8e/8ARzvxx/8ABV4O/wDlDQB7jRXh3/DJvj3/AKOd+OP/AIKvB3/yho/4ZN8e/wDRzvxx/wDBV4O/+UNAB4+/5ST/AAm/7Jp41/8ATp4Sr3GvnLUP2BfEeqfErSfGE/7SHxxk8RaHpl7o9jd/YPCI8i1vJbSa5j2DQ9jb5LG1O5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      <answer>
        <text>x^2</text>
      </answer>
    </subquestion>
    <subquestion format="html">
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      <answer>
        <text>x^2+2</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text></text>
      <answer>
        <text>3x-3</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text></text>
      <answer>
        <text>5x+6</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text></text>
      <answer>
        <text>2x-7</text>
      </answer>
    </subquestion>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_3</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16861-13843 -->
 <question type="shortanswerwiris">
    <name>
      <text>Skryf 'n formule...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Skryf 'n formule wat dieselfde inligting bevat vir elke stel instruksies.</span></p>
<p> </p>
<p><span style="font-size: large;">...vermenigvuldig die invoergetal met 10, trek dan 3 af om die uitvoergetal te kry....</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mn>10</mn><mi>x</mi><mo>-</mo><mn>3</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16862-13844 -->
 <question type="shortanswerwiris">
    <name>
      <text>Skryf 'n formule...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Skryf 'n formule wat dieselfde inligting bevat vir elke stel instruksies.</span></p>
<p> </p>
<p><span style="font-size: large;">...vermenigvuldig die kwadraat van die invoergetal met 10, tel 5 by om die uitvoergetal te kry.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mn>10</mn><msup><mi>x</mi><mn>2</mn></msup><mo>+</mo><mn>5</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;msup&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16863-13845 -->
 <question type="shortanswerwiris">
    <name>
      <text>Skryf 'n formule....</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: medium;"><strong>Skryf 'n formule vir die volgende probleem.</strong></span></p>
<p><span style="font-size: medium;"><strong>Probleem:</strong></span></p>
<p><span style="font-size: medium;"><strong>1.  Nicole se internet kostes is R100 per maand internet toegang en 'n inskakelingsfooi van R20 per uur.</strong></span></p>
<p><span style="font-size: medium;"><strong>Laat:</strong></span></p>
<p><span style="font-size: medium;"><strong>x = die aantal uur vir een maand wat Nicole op die internet deurbring.</strong></span></p>
<p><span style="font-size: medium;"><strong>y = Nicole se totale maandlikse koste.</strong></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mn>100</mn><mo>+</mo><mn>20</mn><mi>x</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_6</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16864-13846 -->
 <question type="shortanswerwiris">
    <name>
      <text>Stel die volgende in 'n formule voor.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Stel die volgende in 'n formule voor.</span></p>
<p><span style="font-size: large;"> </span></p>
<p><span style="text-decoration: underline;"><em><strong><span style="font-size: large;">Vermenigvuldig die invoergetal met 2 en tel 1 by die antwoord.</span></strong></em></span></p>
<p> </p>
<p><em><strong><span style="font-size: large;">Laat:</span></strong></em></p>
<p><strong><span style="font-size: large;">x = invoergetal</span></strong></p>
<p><strong><span style="font-size: large;">y = uitvoergetal</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><mn>2</mn><mi>x</mi><mo>+</mo><mn>1</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_3</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16865-13847 -->
 <question type="multianswerwiris">
    <name>
      <text>Voltooi die tabel</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voltooi die tabel deur die ontbrekende invoergetalle te gee.</span></p>
<table style="width: 506px; height: 31px;" border="2">
<tbody>
<tr>
<td style="text-align: center;"><strong>Invoer</strong></td>
<td style="text-align: center;"><strong>1</strong></td>
<td style="text-align: center;"><strong>2</strong></td>
<td style="text-align: center;"><strong>3</strong></td>
<td style="text-align: center;"><em>n</em></td>
<td style="text-align: center;"><em>12</em></td>
</tr>
<tr>
<td style="text-align: center;"><strong>Uitvoer</strong></td>
<td style="text-align: center;"><strong>4</strong></td>
<td style="text-align: center;"><strong>7</strong></td>
<td style="text-align: center;"><em><strong>y</strong></em></td>
<td style="text-align: center;"><strong>22</strong></td>
<td style="text-align: center;"> </td>
</tr>
</tbody>
</table>
<p> </p>
<p><span style="font-size: medium;">1.  Die uitvoerwaarde van <em>y</em> is: {#1}</span></p>
<p><span style="font-size: medium;">2.  Die invoerwaarde van <em>n</em> is: {#2}</span></p>
<p><span style="font-size: medium;">3.  Die verwantskap tussen die invoergetalle en die uitvoergetalle is: {#3}</span></p>
<p><span style="font-size: medium;">4.  Wat is die uitvoergetal van 12: {#4}</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:NM:=10}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=7}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:~=3x+1~2x+1~4x+2~5x-3~8x-4}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=37}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_1</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16866-13848 -->
 <question type="multianswerwiris">
    <name>
      <text>Voltooi die tabel</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voltooi die tabel deur die ontbrekende invoergetalle te gee.</span></p>
<table style="width: 493px; height: 31px;" border="2">
<tbody>
<tr>
<td style="text-align: center;"><strong>Invoer</strong></td>
<td style="text-align: center;"><strong>2</strong></td>
<td style="text-align: center;"><strong>3</strong></td>
<td style="text-align: center;"><strong>4</strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
</tr>
<tr>
<td style="text-align: center;"><strong>Uitvoer</strong></td>
<td style="text-align: center;"><strong>8</strong></td>
<td style="text-align: center;"><strong>12</strong></td>
<td style="text-align: center;"><strong>16</strong></td>
<td style="text-align: center;"><strong>40</strong></td>
<td style="text-align: center;"><strong>48</strong></td>
</tr>
</tbody>
</table>
<p> </p>
<p><span style="font-size: medium;">1.  Die invoerwaarde van 40 is: {#1}</span></p>
<p><span style="font-size: medium;">2.  Die invoerwaarde van 48 is: {#2}</span></p>
<p><span style="font-size: medium;">3.  Die verwantskap tussen die invoergetalle en die uitvoergetalle is: {#3}</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:NM:=10}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:NM:=12}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:SA:=4x}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_1</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16867-13849 -->
 <question type="multianswerwiris">
    <name>
      <text>Voltooi die tabel deur die verwantskap y = 2x+4 toe te pas.</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voltooi die tabel deur die verwantskap <span style="text-decoration: underline;"><em><strong>y = 2x+4</strong></em></span> toe te pas.</span></p>
<table style="width: 159px; height: 161px; background-color: #e0ffff;" border="5" cellspacing="2" cellpadding="2">
<tbody>
<tr>
<td style="text-align: center;"><strong><span style="font-size: large;">x</span></strong></td>
<td style="text-align: center;"><strong><span style="font-size: large;">2x + 4<br /></span></strong></td>
</tr>
<tr>
<td style="text-align: center;"><strong><span style="font-size: large;">x</span></strong></td>
<td style="text-align: center;"><strong><span style="font-size: large;">y</span></strong></td>
</tr>
<tr>
<td style="text-align: center;"><span style="font-size: small;"> 1   </span></td>
<td style="text-align: center;"><span style="font-size: small;"><strong></strong></span></td>
</tr>
<tr>
<td style="text-align: center;"><span style="font-size: small;">2</span></td>
<td style="text-align: center;"><span style="font-size: small;"><strong></strong></span></td>
</tr>
<tr>
<td style="text-align: center;"><span style="font-size: small;">3</span></td>
<td style="text-align: center;"><span style="font-size: small;"><strong></strong></span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_3</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16868-13850 -->
 <question type="multianswerwiris">
    <name>
      <text>Voltooi die vloeidiagram...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voltooi die vloeidiagram deur die operator in te vul.</span></p>
<p> </p>
<p><img src="@@PLUGINFILE@@/3crop1.png" width="376" height="297" alt="OPERAT_2" style="border: 2px solid black;" /></p>
<p> </p>
<p><span style="font-size: medium;">1. Die reël wat hierdie verwantskap waar maak is {#1}</span></p>]]></text>
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</file>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:SA:=x+5}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
&lt;question/&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_1</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16869-13851 -->
 <question type="shortanswerwiris">
    <name>
      <text>Voorsien die ....</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-size: large;">Voorsien die invoergetal en bepaal watter reël gebruik is in die grafiek.</span></p>
<p><iframe style="border: 0px;" src="https://tube.geogebra.org/material/iframe/id/523543/width/1073/height/433/border/888888/rc/false/ai/false/sdz/false/smb/false/stb/false/stbh/true/ld/false/sri/true/at/auto" scrolling="no" width="1073px" height="433px"> </iframe></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mo>=</mo><msup><mn>2</mn><mi>x</mi></msup></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/msup&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <tags>
      <tag><text>adpq_3</text>
</tag>
    </tags>
  </question>
 
 <!-- resourceid-resourcedataid: 16870-13852 -->
 <question type="truefalsewiris">
    <name>
      <text>Waar of Onwaar</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-size: large;">Sê of die onderstaande WAAR of ONWAAR is.<br /><br /></span></strong></p>
<p><strong><span style="font-size: large;">Die woordformule vir «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨20px¨»«mrow»«mi»y«/mi»«mo»=«/mo»«mn»7«/mn»«mi»x«/mi»«mo»+«/mo»«mn»10«/mn»«/mrow»«/mstyle»«/math» is:<br /><br /></span></strong></p>
<p><em><strong><span style="font-size: large;">1. die invoerwaarde word met 7 vermenigvuldig, dan word 10 bygetel.</span></strong></em></p>]]></text>
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