<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 559 -->
 <question type="category"><category><text>Probability/Additional Topics in Probability and Counting</text></category></question>
 
 <!-- resourceid-resourcedataid: 5658-5073 -->
 <question type="essaywiris">
    <name>
      <text>Question 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">When you calculate the number of permutations of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«/math» distinct objects taken «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«/math» at a time, what are you counting?  Give an example.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">The number of ordered arrangements of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«/math» objects taken «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«/math» at a time.  An example of a permutation is the number of seating arrangements of you and three of your friends.</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <responseformat>editor</responseformat>
    <responsefieldlines>15</responsefieldlines>
    <attachments>0</attachments>
    <graderinfo format="html">
      <text></text>
    </graderinfo>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5659-5074 -->
 <question type="essaywiris">
    <name>
      <text>Question 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">When you calculate the number of combinations of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«/math» objects taken from a group of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«/math» objects, what are you counting?  Give an example.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">A selection of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»r«/mi»«/math» of the «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«/math» objects without regard to order.  An example of a combination is the number of selections of different playoff teams from a vollyball tournament.</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <responseformat>editor</responseformat>
    <responsefieldlines>15</responsefieldlines>
    <attachments>0</attachments>
    <graderinfo format="html">
      <text></text>
    </graderinfo>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5660-5075 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 03-06</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;"><strong>Determine whether the statement is true or false.</strong></span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">A combination is an ordered arrangement of objects.  </span><br /><span style="font-family: 'times new roman', times, serif;">{#1}</span><br /><br /></li>
<li><span style="font-family: 'times new roman', times, serif;">The number of different ordered arrangements of «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«/math» distinct objects is «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»n«/mi»«mo»!«/mo»«/math»</span><br /><br /><span style="font-family: 'times new roman', times, serif;">{#2}</span><br /><br /></li>
<li><span style="font-family: 'times new roman', times, serif;">If you devide the number of permutaions of 11 objects taken 3 at a time by 3!, you will get the number of combinations of 11 objects taken 3 at a time.   </span><br /><br /><span style="font-family: 'times new roman', times, serif;">{#3}</span><br /><br /></li>
<li><span style="font-family: 'times new roman', times, serif;">«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»C«/mi»«mn»5«/mn»«none/»«mprescripts/»«mn»7«/mn»«none/»«/mmultiscripts»«mo»=«/mo»«mmultiscripts»«mi»C«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»7«/mn»«none/»«/mmultiscripts»«/math»   </span><br /><span style="font-family: 'times new roman', times, serif;">{#4}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>False. A permutation is an ordered arrangement of objects.</li>
<li>True</li>
<li>True</li>
<li>True</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=False~True}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=True~False}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=True~False}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=True~False}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5661-5076 -->
 <question type="matchwiris">
    <name>
      <text>Question 07-14</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-family: 'times new roman', times, serif;">Perform the indicated operations and match with the correct answer.</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <shuffleanswers>true</shuffleanswers>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»C«/mi»«mn»3«/mn»«none/»«mprescripts/»«mn»7«/mn»«none/»«/mmultiscripts»«/math»</p>]]></text>
      <answer>
        <text>210</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»P«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»14«/mn»«none/»«/mmultiscripts»«/math»</p>]]></text>
      <answer>
        <text>182</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»C«/mi»«mn»4«/mn»«none/»«mprescripts/»«mn»7«/mn»«none/»«/mmultiscripts»«/math»</p>]]></text>
      <answer>
        <text>35</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»P«/mi»«mn»6«/mn»«none/»«mprescripts/»«mn»8«/mn»«none/»«/mmultiscripts»«/math»</p>]]></text>
      <answer>
        <text>20,160</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mmultiscripts»«mi»C«/mi»«mn»6«/mn»«none/»«mprescripts/»«mn»24«/mn»«none/»«/mmultiscripts»«/math»</p>]]></text>
      <answer>
        <text>134,596</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mmultiscripts»«mi»C«/mi»«mn»4«/mn»«none/»«mprescripts/»«mn»8«/mn»«none/»«/mmultiscripts»«mmultiscripts»«mi»C«/mi»«mn»6«/mn»«none/»«mprescripts/»«mn»12«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</p>]]></text>
      <answer>
        <text>0.076</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mmultiscripts»«mi»P«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»6«/mn»«none/»«/mmultiscripts»«mmultiscripts»«mi»P«/mi»«mn»4«/mn»«none/»«mprescripts/»«mn»10«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</p>]]></text>
      <answer>
        <text>0.0060</text>
      </answer>
    </subquestion>
    <subquestion format="html">
      <text><![CDATA[<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mmultiscripts»«mi»C«/mi»«mn»3«/mn»«none/»«mprescripts/»«mn»8«/mn»«none/»«/mmultiscripts»«mmultiscripts»«mi»C«/mi»«mn»3«/mn»«none/»«mprescripts/»«mn»12«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</p>]]></text>
      <answer>
        <text>0.255</text>
      </answer>
    </subquestion>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5662-5077 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 19</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;"><strong>Space Shuttle</strong></span></p>
<p><span style="font-family: 'times new roman', times, serif;">Space shuttle astronauts each consume an average of 3000 calories per day.  One meal normally consists of a main dish, a vegetable dish, and two different desserts.  The astronauts cam choose from #a main dishes, #b vegetable dishes, and #c desserts.  How many different meals are possible?</span><strong><br /></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer><correctAnswer id="2"></correctAnswer></correctAnswers><assertions><assertion name="syntax_expression" correctAnswer="1"/><assertion name="equivalent_symbolic" correctAnswer="1"/><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5663-5078 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 20</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Skiing</strong></p>
<p>#a people compete in a downhill ski race.  Assuming that there are no ties, in how many different orders can the skiers finish?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer><correctAnswer id="1"></correctAnswer><correctAnswer id="2"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"></data><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5664-5079 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 21</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Security Code</strong></p>
<p><strong><br /></strong>In how many ways can the letters A, B, C, D, E, and F be arranged for a six-letter security code?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5665-5080 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 22</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Starting Lineup</strong></p>
<p><strong><br /></strong>The starting lineup for a softball team consists of ten players.  How many different batting orders are possible using the starting lineup?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5666-5081 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 23</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Lottery Number Selection</strong></p>
<p>A Lottery has #a numbers. In how many different ways can #b of the numbers be selected?  (Assume that the order of selection is not important.)</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;48&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;59&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5667-5082 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 24</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Assembly Process</strong></p>
<p>There are #a processes involved in assembling a certain product.  These processes can be performed in order.  Management wants to find which order is the least time-consuming.  How many different orders will have to be tested?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5668-5083 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 25</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Tree Planting</strong></p>
<p>A landscaper wants to plant #a oak trees, #b maple trees. and #c poplar trees along the border of a lawn.  The trees are to be spaced evenly apart.  In how many distinguishable ways can they be planted?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mrow&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/mrow&#62;&lt;/apply&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5669-5084 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 26</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Experimental Group</strong></p>
<p>In order to conduct an experiment, #a subjects are randomly selected from a group of #b subjects.  How many different groups of #a subjects are possible?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;20&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;25&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5670-5085 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 27</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Letters</strong></p>
<p>In how many distinguishable ways can the letters in the word <em>statistics</em> be written?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;s&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;t&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;i&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;/apply&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_expression"/><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5671-5086 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 28</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Jury Selection</strong></p>
<p>From a group of #n people, a jury of #r people is selected.  In how many different ways can a jury of #r people be selected?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;30&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;50&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="implicit_times_operator">true</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">4</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5672-5087 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 29</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">palmes</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=sample}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;p&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;l&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;m&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;e&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;s&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/apply&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;p&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;l&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;m&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;e&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;s&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mrow&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5673-5088 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 30</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">nevte</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=60}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=event}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.017:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5674-5089 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 31</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">etre</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=12}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=tree}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.0833:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5675-5090 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 32</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">ediman</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=720}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=median}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.0014:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5676-5091 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 33</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">unoppolati</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=907200~907,200}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=population}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.000001:0.0000005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5677-5092 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 34</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Consider the following letters</p>
<p style="text-align: center;">sidtbitoiurn</p>
<ol>
<li>Find the number of distinguishable ways the letters can be arranged.<br />{#1}<br /><br /></li>
<li>There is one arrangement that spells an inportant term used throughout the course.  Find the term.<br />{#2}<br /><br /></li>
<li>If the letters are randomly arranged in order, what is the probability that the arrangement spells the word from part b.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=39916800~39,916,800}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=distribution}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.00000003:0.000000005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5678-5093 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 35</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Horse Race</strong></p>
<p><strong><br /></strong>A horse race has #a entries.  Assuming that there are no ties, what is the probability that the tree horses owned by one person finish first, second, and third?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;/&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">false</option><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5679-5094 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 36</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Pizza Toppings</strong></p>
<p><strong><br /></strong>A pizza shop offers #t.  No topping can be used more than once.  What is the probability that the toppings on the pizza are pepperoni, onions, and mushrooms?</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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;t&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;t&lt;/mi&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-3)</option><option name="relative_tolerance">false</option><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5680-5095 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 37</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Jukebox</strong></p>
<p>You look over the songs on a jukebox and determine that you like #r of the #n songs.</p>
<ol>
<li>What is the probability that you like the next #a songs that are played?  Assume a song cannot be repeated.<br />{#1}<br /><br /></li>
<li>What is the probability that you do not like the next #a songs that are played?  Assume a song cannot be repeated.<br />{#2}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;15&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;20&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;55&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;65&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;precision&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;/&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">true</option><option name="times_operator"></option><option name="imaginary_unit"></option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5681-5096 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 38</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Officers</strong></p>
<p>The offices of president, vice president, secretary, and treasurer for an environmental club will be filled from a pool of #n candidates.  Six of the candidates are members of the debate team.</p>
<ol>
<li>What is the probability that all of the offices will be filled by members of the debate team?<br />{#1}<br /><br /></li>
<li>What is the probability that none of the offices are filled by members of the debate team?<br />{#2}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:=\#solb}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;20&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/mrow&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">true</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5682-5097 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 39</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Four sales representative for a company are to be chosen to participate in a training program.  The company has eight sales representatives, two in each of four regions.  In how many ways can the four sales representatives be chosen if:</p>
<ol>
<li>there are no restrictions?<br />{#1}<br /><br /></li>
<li>the selection must include a sales representative from each region?<br />{#2}<br /><br /></li>
<li>What is the probability that the four sales representatives chosen to participate in the training program will be from only two of the four regions if they are chosen at random?<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msup&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5683-5098 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 40</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>License Plates</strong></p>
<p>In a certain state, each automobile license plate number consists of #a letters followed by a #b-digit number.  How many distinct license plate numbers can be formed if:</p>
<ol>
<li>there are no restrictions?<br />{#1}<br /><br /></li>
<li>the letters O and I are not used?<br />{#2}<br /><br /></li>
<li>What is the probability of selecting at randoma license plate that ends in an even number?<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#solc}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;26&lt;/mn&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/msup&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;24&lt;/mn&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/msup&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5684-5099 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 41</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Password</strong></p>
<p>A password consists of #a letters followed by a #b-digit number.  How many passwords are possible if:</p>
<ol>
<li>there are no restrictions?<br />{#1}<br /><br /></li>
<li>none of the letters or digits can be repeated?<br />{#2}<br /><br /></li>
<li>What is the probability of guessing the password in one trial if there are no restrictions?<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=#solc}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;26&lt;/mn&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/msup&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mn&#62;26&lt;/mn&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5685-5100 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 42</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Area Codes</strong></p>
<p>An ares code consists of three digits.  How many area codes are possible if:</p>
<ol>
<li>there are no restrictions?<br />{#1}<br /><br /></li>
<li>the first digit cannot be a 1 or a 0?<br />{#2}<br /><br /></li>
<li>What is the probability of selecting an area code at random that ends in an odd number if the first digit cannot be a 1 or a 0.<br />{#3}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;msup&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/msup&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5686-5101 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 43</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Repairs</strong></p>
<p>In how many orders can #a broken computers and #b broken printers be repaired if:</p>
<ol>
<li>there are no restrictions?<br />{#1}<br /><br /></li>
<li>the printers must be repaired first?<br />{#2}<br /><br /></li>
<li>the computers must be repaired first?<br />{#3}<br /><br /></li>
<li>If the order of repairs has no restrictions and the order of repairs is done at random, what is the probability that a printer will be repaired first?<br />{#4}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sold}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;if&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;repeat&lt;/csymbol&#62;&lt;mtable&#62;&lt;mtr&#62;&lt;mtd&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/mtd&#62;&lt;/mtr&#62;&lt;mtr&#62;&lt;mtd&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/mtd&#62;&lt;/mtr&#62;&lt;/mtable&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;&#8800;&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;/apply&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;P&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sold&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5687-5102 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 44</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Defective Units</strong></p>
<p>A shipment of #a microwave ovens contains #b defective units.  In how many ways can a restaurant buy three of these units and recieve:</p>
<ol>
<li>no defective units?<br />{#1}<br /><br /></li>
<li>one defective unit?<br />{#2}<br /><br /></li>
<li>at least two nondefective units?<br />{#3}<br /><br /></li>
<li>What is the probability of the restaurant buying at least two defective units?<br />{#4}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sold}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;14&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sold&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;/&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5688-5103 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 45</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Suppose #a people are chosen at random from a group of #n.  What is the probability that all #a would rate their financial shape as excellent? (Make the assumption that the #n people are represented by the pie chart.)</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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" alt="" /></p>
<p> </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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mo&#62;{&lt;/mo&#62;&lt;mn&#62;1100&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1125&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1150&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1175&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1200&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1225&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1250&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1275&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1300&lt;/mn&#62;&lt;mo&#62;}&lt;/mo&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;08&lt;/mn&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;/&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/><data name="cas">add</data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5689-5104 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 46</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Suppose #a people are chosen at random from a group of #n.  What is the probability that all #a would rate their financial shape as poor?  (Make the assumption that the #n people are represented by the pie chart.)</p>
<p style="text-align: center;"><img src="data:image/png;base64,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" alt="" /></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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;8&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mo&#62;{&lt;/mo&#62;&lt;mn&#62;1100&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1150&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1200&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1250&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1300&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1350&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;1400&lt;/mn&#62;&lt;mo&#62;}&lt;/mo&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;14&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer>#sol</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/><assertion name="syntax_expression" correctAnswer="1"/><assertion name="equivalent_symbolic" correctAnswer="1"/></assertions><options><option name="precision">3</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5690-5105 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 47</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Suppose #a people are chosen at random from a group of #n.  What is the probability that none of the #a people would rate their financial shape as fair?  (Make the assumption that the #n people are represented by the pie chart.)</p>
<p style="text-align: center;"><img src="data:image/png;base64,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" alt="" /></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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;70&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;90&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mo&#62;{&lt;/mo&#62;&lt;mn&#62;475&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;500&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;525&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;550&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;575&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;600&lt;/mn&#62;&lt;mo&#62;}&lt;/mo&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;36&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="precision">3</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">textField</data><data name="cas">add</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5691-5106 -->
 <question type="shortanswerwiris">
    <name>
      <text>Question 48</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Suppose #a people are chosen at random from a group of #n.  What is the probability that none of the #a people would rate their financial shape as fair?  (Make the assumption that the #n people are represented by the pie chart.)</p>
<p style="text-align: center;"><img src="data:image/png;base64,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" alt="" /></p>
<p style="text-align: left;"> </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>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;50&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;60&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mo&#62;{&lt;/mo&#62;&lt;mn&#62;400&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;500&lt;/mn&#62;&lt;mo&#62;,&lt;/mo&#62;&lt;mn&#62;600&lt;/mn&#62;&lt;mo&#62;}&lt;/mo&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;41&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sol&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;V&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer type="mathml">&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mo&#62;#&lt;/mo&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;s&lt;/mi&#62;&lt;mi&#62;o&lt;/mi&#62;&lt;mi mathvariant=&#34;normal&#34;&#62;l&lt;/mi&#62;&lt;/math&#62;</correctAnswer><correctAnswer id="1"></correctAnswer></correctAnswers><assertions><assertion name="check_simplified"/><assertion name="syntax_quantity"><param name="units">m, s, g, sr, E, K, mol, cd, rad, h, min, l, N, Pa, Hz, W, J, C, V, &#937;, F, S, Wb, b, H, T, lx, lm, Gy, Bq, Sv, kat</param><param name="unitprefixes">M, k, c, m, y, z, a, f, p, n, &#181;, d, da, h, G, T, P, E, Z, Y</param></assertion><assertion name="equivalent_symbolic"/></assertions><options><option name="precision">3</option><option name="tolerance">10^(-4)</option><option name="relative_tolerance">false</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="inputField">inlineEditor</data><data name="gradeCompound">and</data><data name="gradeCompoundDistribution"></data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5692-5107 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 49</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Probability</strong></p>
<p>In a state lottery, you must select #r numbers (in any order) out of #n correctly to win the top prize.</p>
<ol>
<li>How many ways can 5 numbers be chosen from 40 numbres?<br />{#1}<br /><br /></li>
<li>You purchase one lottery ticket.  What is the probability of winning the top prize?<br />{#2}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5693-5108 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 50</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Probability</strong></p>
<p>A company that has #n employees chooses a committee of #r to represent employee retirement issues.  When the committee was formed, none of the #m minority employees were selected.</p>
<ol>
<li>Find the number of ways #r employees can be chosen from #n.<br />{#1}<br /><br /></li>
<li>Find the number of ways #r employees can be chosen from #b nonminorities.<br />{#2}<br /><br /></li>
<li>If the committee was chosen randomly (without bias), what is the probability that it contained no minorities?<br />{#3}<br /><br /></li>
<li>Does your answer to part 3 indicate that the committee selection was biased?<br />{#4}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>7.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Yes, because the probability that no minorites are selected is very small~No, because the probability that no minorities are selected is not very small}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;195&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;205&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;17&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;m&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;51&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;61&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mi&#62;m&lt;/mi&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;n&lt;/mi&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mi&#62;r&lt;/mi&#62;&lt;/apply&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5694-5109 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 51</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Cards</strong></p>
<p>You are dealt a hand of five cards from a standard deck of playing cards.  Find the probability of being dealt a hand consisting of:</p>
<ol>
<li>four-of-a-kind.<br />{#1}<br /><br /></li>
<li>a full house which consists of 1 three-of-a-kind and 1 two-of-a-kind.<br />{#2}<br /><br /></li>
<li>three-of-a-kind.  (The other cards are different from each other.)<br />{#3}<br /><br /></li>
<li>two clubs and one of each other suits.<br />{#4}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»4«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»12«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«/mrow»«mmultiscripts»«mi»C«/mi»«mn»5«/mn»«none/»«mprescripts/»«mn»52«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</li>
<li>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»3«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»12«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«/mrow»«mmultiscripts»«mi»C«/mi»«mn»5«/mn»«none/»«mprescripts/»«mn»52«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</li>
<li>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»3«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»12«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»4«/mn»«none/»«/mmultiscripts»«/mfenced»«/mrow»«mmultiscripts»«mi»C«/mi»«mn»5«/mn»«none/»«mprescripts/»«mn»52«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</li>
<li>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mfrac»«mrow»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»2«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«mfenced»«mmultiscripts»«mi»C«/mi»«mn»1«/mn»«none/»«mprescripts/»«mn»13«/mn»«none/»«/mmultiscripts»«/mfenced»«/mrow»«mmultiscripts»«mi»C«/mi»«mn»5«/mn»«none/»«mprescripts/»«mn»52«/mn»«none/»«/mmultiscripts»«/mfrac»«/math»</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sold}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;52&lt;/mn&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;52&lt;/mn&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;3&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;12&lt;/mn&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;52&lt;/mn&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sold&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;2&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;13&lt;/mn&#62;&lt;mn&#62;1&lt;/mn&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mn&#62;52&lt;/mn&#62;&lt;mn&#62;5&lt;/mn&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5695-5110 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 52</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>A warehouse employs #a workers on first shift and #b workers on second shift.  #c workers are chosen at random to be interviewed about the work environment.  Find the probability of choosing:</p>
<ol>
<li>all first-shift workers.<br />{#1}<br /><br /></li>
<li>all second-shift workers.<br />{#2}<br /><br /></li>
<li>six first-shift workers.<br />{#3}<br /><br /></li>
<li>four second-shift workers.<br />{#4}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>8.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sola}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solb}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#solc}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:SA:\*~=\#sold}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><wirisCasSession>&lt;session lang=&#34;en&#34; version=&#34;2.0&#34;&#62;&lt;library closed=&#34;false&#34;&#62;&lt;mtext style=&#34;color:#ffc800&#34; xml:lang=&#34;en&#34;&#62;variables&lt;/mtext&#62;&lt;group&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;20&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;25&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;14&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;18&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mi&#62;random&lt;/mi&#62;&lt;mo&#62;(&lt;/mo&#62;&lt;mn&#62;7&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;10&lt;/mn&#62;&lt;mo&#62;)&lt;/mo&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sola&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solb&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;solc&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mn&#62;6&lt;/mn&#62;&lt;/mrow&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;command&#62;&lt;input&#62;&lt;math xmlns=&#34;http://www.w3.org/1998/Math/MathML&#34;&#62;&lt;mi&#62;sold&lt;/mi&#62;&lt;mo&#62;=&lt;/mo&#62;&lt;mfrac&#62;&lt;mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/apply&#62;&lt;mo&#62;*&lt;/mo&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;mo&#62;-&lt;/mo&#62;&lt;mn&#62;4&lt;/mn&#62;&lt;/mrow&#62;&lt;/apply&#62;&lt;/mrow&#62;&lt;apply&#62;&lt;csymbol definitionURL=&#34;http://www.wiris.com/XML/csymbol&#34;&#62;C&lt;/csymbol&#62;&lt;mrow&#62;&lt;mi&#62;a&lt;/mi&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mi&#62;b&lt;/mi&#62;&lt;/mrow&#62;&lt;mi&#62;c&lt;/mi&#62;&lt;/apply&#62;&lt;/mfrac&#62;&lt;mo&#62;+&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;mo&#62;.&lt;/mo&#62;&lt;mn&#62;0&lt;/mn&#62;&lt;/math&#62;&lt;/input&#62;&lt;/command&#62;&lt;/group&#62;&lt;/library&#62;&lt;/session&#62;</wirisCasSession><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">3</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"/></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- categoryid: 560 -->
 <question type="category"><category><text>Probability/The Addition Rule</text></category></question>
 
 <!-- resourceid-resourcedataid: 5696-5111 -->
 <question type="essaywiris">
    <name>
      <text>Question 01</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">If two events are mutually exclusive, why is «math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»and«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«mo»=«/mo»«mn»0«/mn»«/math»?</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">«math style=¨font-size:14px;font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathcolor=¨#0000FF¨»P«/mi»«mfenced mathcolor=¨#0000FF¨»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»and§#160;«/mtext»«mi»B«/mi»«/mrow»«/mfenced»«mo mathcolor=¨#0000FF¨»=«/mo»«mn mathcolor=¨#0000FF¨»0«/mn»«/math»<span style="color: #0000ff;"> <span style="font-size: small;">because <em>A</em> and <em>B</em> cannot occur at the same time.</span></span></span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <responseformat>editor</responseformat>
    <responsefieldlines>5</responsefieldlines>
    <attachments>0</attachments>
    <graderinfo format="html">
      <text></text>
    </graderinfo>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5697-5112 -->
 <question type="essaywiris">
    <name>
      <text>Question 02</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">List examples of </span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">two events that are mutually exclusive.</span></li>
<li><span style="font-family: 'times new roman', times, serif;">two events that are not mutually exclusive.</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif; color: #0000ff;">1.  Toss a coin once: <em>A</em> = {heads} and <em>B</em> = {tails}</span></p>
<p><span style="font-family: 'times new roman', times, serif; color: #0000ff;">2.  Draw one card: <em>A</em> = {ace} and <em>B</em> = {spade}</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
    <responseformat>editor</responseformat>
    <responsefieldlines>5</responsefieldlines>
    <attachments>0</attachments>
    <graderinfo format="html">
      <text></text>
    </graderinfo>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5698-5113 -->
 <question type="truefalsewiris">
    <name>
      <text>Question 03</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">If two events are mutually exclusive, they have no outcomes in common.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p>True</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <answer fraction="100" format="moodle_auto_format">
      <text>True</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>False</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
    <wirisoverrideanswer>
<![CDATA[]]>
    </wirisoverrideanswer>
  </question>
 
 <!-- resourceid-resourcedataid: 5699-5114 -->
 <question type="truefalsewiris">
    <name>
      <text>Question 04</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">If two events are independent, then they are also mutually exclusive.</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span>False: Two events being independent does not imply they are mutually exclusive.</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <answer fraction="0" format="moodle_auto_format">
      <text>True</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>False</text>
      <feedback format="html">
        <text><![CDATA[<p><span style="color: #0000ff; font-family: 'times new roman', times, serif;">False: Two events being independent does not imply they are mutually exclusive.</span></p>]]></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
    <wirisoverrideanswer>
<![CDATA[]]>
    </wirisoverrideanswer>
  </question>
 
 <!-- resourceid-resourcedataid: 5700-5115 -->
 <question type="truefalsewiris">
    <name>
      <text>Question 05</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">The probability that event <em>A</em> or event <em>B</em> will occur is</span></p>
<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»or«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«mo»=«/mo»«mi»P«/mi»«mfenced»«mi»A«/mi»«/mfenced»«mo»+«/mo»«mi»P«/mi»«mo»(«/mo»«mi»B«/mi»«mo»)«/mo»«mo»-«/mo»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»or«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«/math»</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p>False.  The probability that event <em>A</em> or event <em>B</em> will occur is</p>
<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»or«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«mo»=«/mo»«mi»P«/mi»«mfenced»«mi»A«/mi»«/mfenced»«mo»+«/mo»«mi»P«/mi»«mo»(«/mo»«mi»B«/mi»«mo»)«/mo»«mo»-«/mo»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»and«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«/math»</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <answer fraction="0" format="moodle_auto_format">
      <text>True</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>False</text>
      <feedback format="html">
        <text><![CDATA[<p>False.  The probability that event <em>A</em> or event <em>B</em> will occur is</p>
<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»or«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«mo»=«/mo»«mi»P«/mi»«mfenced»«mi»A«/mi»«/mfenced»«mo»+«/mo»«mi»P«/mi»«mo»(«/mo»«mi»B«/mi»«mo»)«/mo»«mo»-«/mo»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»and«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«/math»</p>]]></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
    <wirisoverrideanswer>
<![CDATA[]]>
    </wirisoverrideanswer>
  </question>
 
 <!-- resourceid-resourcedataid: 5701-5116 -->
 <question type="truefalsewiris">
    <name>
      <text>Question 06</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>If events A and B are mutually exclusive then</p>
<p>«math style=¨font-family:`Times New Roman`¨ xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»P«/mi»«mfenced»«mrow»«mi»A«/mi»«mo»§#160;«/mo»«mtext»or«/mtext»«mo»§#160;«/mo»«mi»B«/mi»«/mrow»«/mfenced»«mo»=«/mo»«mi»P«/mi»«mfenced»«mi»A«/mi»«/mfenced»«mo»+«/mo»«mi»P«/mi»«mo»(«/mo»«mi»B«/mi»«mo»)«/mo»«/math»</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p>True.</p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>1.0000000</penalty>
    <hidden>0</hidden>
    <answer fraction="100" format="moodle_auto_format">
      <text>True</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>False</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
    <wirisoverrideanswer>
<![CDATA[]]>
    </wirisoverrideanswer>
  </question>
 
 <!-- resourceid-resourcedataid: 5702-5117 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 07-08</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Decide if the events shown in the venn diagrams are mutually exclusive.</p>
<ol>
<li><img style="vertical-align: text-top;" src="@@PLUGINFILE@@/Question7.jpg" alt="" width="360" height="216" /><br />{#1}<br /><br /></li>
<li><img style="vertical-align: top;" src="@@PLUGINFILE@@/Question8.jpg" alt="" width="360" height="216" /><br />{#2}</li>
</ol>]]></text>
<file name="Question7.jpg" encoding="base64">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</file><file name="Question8.jpg" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  The student can be taking both economics and statistics.</li>
<li>Mutually exclusive.  A person cannot register to vote in more than one state.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=Not Mutually Exclusive~Mutually Exclusive#The students can be taking both economics and statistics."}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Mutually Exclusive~Not Mustually Exclusive#A person cannot register to vote in more than one state.}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5703-5118 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 09 - 12</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong><span style="font-family: 'times new roman', times, serif;">Decide if the events are mutually exclusive.</span></strong></p>
<p><span style="font-family: 'times new roman', times, serif;">Event A: Randomly select a female worker.</span><br /><span style="font-family: 'times new roman', times, serif;">Event B: Randomly select a worker with a college degree.</span><br /><span style="font-family: 'times new roman', times, serif;">{#1}</span></p>
<p><span style="font-family: 'times new roman', times, serif;">Event A: Randomly select a member of U.S. Congress.</span><br /><span style="font-family: 'times new roman', times, serif;">Event B: Randomy select a male U.S. Senator.</span><br /><span style="font-family: 'times new roman', times, serif;">{#2}</span></p>
<p><span style="font-family: 'times new roman', times, serif;">Event A: Randomly select a person between 18 and 24 years old.</span><br /><span style="font-family: 'times new roman', times, serif;">Event B: Randomly select a person between 25 and 34 years old.</span><br /><span style="font-family: 'times new roman', times, serif;">{#3}</span></p>
<p><span style="font-family: 'times new roman', times, serif;">Event A: Randomly select a person between 18 and 24 years old.</span><br /><span style="font-family: 'times new roman', times, serif;">Event B: Randomly select a person earning between $20,000 and $29,999.</span><br /><span style="font-family: 'times new roman', times, serif;">{#4}</span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  A worker can be female and have a college degree.</li>
<li>Not mutually exclusive.  Members of Congress can be a male senator.</li>
<li>Mutually exclusive.  A person cannot be in both age classes.</li>
<li>Not Mutually exclusive.  A person can be between 18 and 24 years old and earn between $20,000 and $29,999.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=Not Mutually Exclusive~Mutually Exclusive#A worker can be female and have a college degree.}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Not Mutually Exclusive~Mutually Exclusive#Members of Congress can be a male senator.}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Mutually Exclusive~Not Mutually Exclusive#A person cannot be in both age classes.}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Not Mutually Exclusive~Mutually Exclusive#A person can be between 18 and 24 years old and earn between $20,000 and $29,999.}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5704-5119 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 13</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">During a 52-week period, a company paid overtime wages for 18 weeks and hired temporary help for 9 weeks.  During 5 weeks, the company paid overtime and hired temporary help.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Are the events "selecting a week that contained overtime wages" and "selecting a week that contained temporary help wages" mutually exclusive?  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">If an auditor randomly examined the payroll records for only one week, what is the probability that the payroll for that week contained overtime wages or temporary help wages?</span><br /><span style="font-family: 'times new roman', times, serif;">{#2}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  For five weeks the events overlap.</li>
<li>0.423</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=Not Mutually Exclusive~Mutually Exclusive#For 5 weeks the events overlap}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.423:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5705-5120 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 14</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">A college has an undergraduate enrollment of 3500.  Of these, 860 are business majors and 1800 are women.  Of the business majors, 425 are women.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Are the events "selecting a woman student" and "selecting a business major" mutually exclusive?  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">If the college newspaper conducts a poll and selects students at random to answer a survey, find the probability that a selected student is a woman or a business major.  {#2}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  A student can be a woman and a business major.</li>
<li>0.639</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=No~Yes#A student can be a woman and a business major}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.639:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5706-5121 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 15</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">A company that makes cartons find the probability of producing a carton with a puncture is 0.05, the probability that a carton has a smashed corner is 0.08, and the probability that a carton has a puncture and a smashed corner is 0.004.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Are the events "selecting a carton with a puncture" and "selecting a carton with a smashed corner" mutually exclusive?  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">If a quality control inspector randomly selects a carton, find the probability that the carton has a puncture or a smashed corner.  {#2}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  A carton can have a puncture and a smashed corner.</li>
<li>0.126</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=No~Yes#A carton can have a puncture and a smashed corner}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.126:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5707-5122 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 16</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">A company that makes soda pop cans find the probability of producing a can without a puncture is 0.96, the probability that a can does not have a smashed edge is 0.93, and the probability that a can does not have a puncture or does not have a smashed edge is 0.893.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Are the events "selecting a can without a puncture" and "selecting a can without a smashed edge" mutually exclusive?  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">If a quality inspector randomly selects a can, find the probability that the can does not have a puncture or does not have a smashed edge.  {#2}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>Not mutually exclusive.  A can may have no punctures and no smashed edges.</li>
<li>0.997</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>3.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{1:MC:=No~Yes#A can may have no punctures and no smashed edges}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.997:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5708-5123 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 17</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">A card is selected at random from a standerd deck.  Find each probability.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting a diamond or a 7  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting a red suit or a queen  {#2}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting a 3 or a face card  {#3}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.308</li>
<li>0.538</li>
<li>0.308</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.308:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.538:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.308:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5709-5124 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 18</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">You roll a die.  Find each probability.</span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Rolling a 6 or a number greater than 4  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Rolling a number less than 3 or an even number  {#2}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Rolling a 3 or an even number  {#3}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.333</li>
<li>0.667</li>
<li>0.833</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.333:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.667:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.667:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5710-5125 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 19</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: 'times new roman', times, serif;">The estimated percent distribution of the U.S. population for 2015 is shown in the pie chart.  Find each probability.</span></p>
<p style="text-align: center;"><span style="font-family: 'times new roman', times, serif;"> <img src="@@PLUGINFILE@@/Question19.jpg" alt="" width="336" height="262" /></span></p>
<ol>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting someone under five years old  {#1}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting someone who is not 65 or older  {#2}</span></li>
<li><span style="font-family: 'times new roman', times, serif;">Randomly selecting someone who is between 18 and 34 years old  {#3}</span></li>
</ol>]]></text>
<file name="Question19.jpg" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.068</li>
<li>0.853</li>
<li>0.229</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.068:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.853:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.229:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5711-5126 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 20</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: times new roman,times,serif;">The percent distribution of the number of occupants in vehicles crossing the Tacoma Narrows Bridge in Washington is shown in the pie chart.  Find each probability.</span></p>
<p style="text-align: center;"><span style="font-family: times new roman,times,serif;"> <img src="@@PLUGINFILE@@/Question20.jpg" alt="" width="362" height="348" /></span></p>
<ol>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a car with two occupants  {#1}</span></li>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a car with two or more occupants  {#2}</span></li>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a car with between two and five occupants, inclusive  {#3}</span></li>
</ol>]]></text>
<file name="Question20.jpg" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.298</li>
<li>0.445</li>
<li>0.435</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>6.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.298:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.445:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.435:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5712-5127 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 21</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: times new roman,times,serif;">The number of responses to a survey are shown in the Pareto chart.  The survey asked 1017 U.S. adults how they feel about the quality of education students receive in kindergarten through grade twelve.  Each person gave one response.  Find each probability.</span></p>
<p style="text-align: center;"><span style="font-family: times new roman,times,serif;"> <img src="@@PLUGINFILE@@/Question21.jpg" alt="" width="362" height="282" /></span></p>
<ol>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a person from the sample who is not completely satisfied with the quality of education  {#1}</span></li>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a person from the sample who is somewhat dissatisfied or completely dissatisfied with the quality of education  {#2}</span></li>
</ol>]]></text>
<file name="Question21.jpg" encoding="base64">/9j/4AAQSkZJRgABAQEASABIAAD/4gXASUNDX1BST0ZJTEUAAQEAAAWwYXBwbAIgAABtbnRyUkdCIFhZWiAH0gAFAA0ADAAAAABhY3NwQVBQTAAAAABhcHBsAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLWFwcGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1yWFlaAAABIAAAABRnWFlaAAABNAAAABRiWFlaAAABSAAAABR3dHB0AAABXAAAABRjaGFkAAABcAAAACxyVFJDAAABnAAAAA5nVFJDAAABnAAAAA5iVFJDAAABnAAAAA5kZXNjAAAFQAAAAG9jcHJ0AAACFAAAADh2Y2d0AAABrAAAADBuZGluAAAB3AAAADhkc2NtAAACTAAAAvJYWVogAAAAAAAAdEsAAD4dAAADy1hZWiAAAAAAAABacwAArKYAABcmWFlaIAAAAAAAACgYAAAVVwAAuDNYWVogAAAAAAAA81IAAQAAAAEWz3NmMzIAAAAAAAEMQgAABd7///MmAAAHkgAA/ZH///ui///9owAAA9wAAMBsY3VydgAAAAAAAAABAc0AAHZjZ3QAAAAAAAAAAQAAuFIAAAAAAAEAAAAAuFIAAAAAAAEAAAAAuFIAAAAAAAEAAG5kaW4AAAAAAAAAOAAAoUgAAFcKAABLhQAAmuEAACeuAAATtgAAUA0AAFQ5AAKAAAACgAAAAoAAdGV4dAAAAABDb3B5cmlnaHQgMjAwNyBBcHBsZSBJbmMuLCBhbGwgcmlnaHRzIHJlc2VydmVkLgBtbHVjAAAAAAAAABEAAAAMZW5VUwAAACYAAAJ+ZXNFUwAAACYAAAGCZGFESwAAAC4AAAHqZGVERQAAACwAAAGoZmlGSQAAACgAAADcZnJGVQAAACgAAAEqaXRJVAAAACgAAAJWbmxOTAAAACgAAAIYbmJOTwAAACYAAAEEcHRCUgAAACYAAAGCc3ZTRQAAACYAAAEEamFKUAAAABoAAAFSa29LUgAAABYAAAJAemhUVwAAABYAAAFsemhDTgAAABYAAAHUcnVSVQAAACIAAAKkcGxQTAAAACwAAALGAFkAbABlAGkAbgBlAG4AIABSAEcAQgAtAHAAcgBvAGYAaQBpAGwAaQBHAGUAbgBlAHIAaQBzAGsAIABSAEcAQgAtAHAAcgBvAGYAaQBsAFAAcgBvAGYAaQBsACAARwDpAG4A6QByAGkAcQB1AGUAIABSAFYAQk4AgiwAIABSAEcAQgAgMNcw7TDVMKEwpDDrkBp1KAAgAFIARwBCACCCcl9pY8+P8ABQAGUAcgBmAGkAbAAgAFIARwBCACAARwBlAG4A6QByAGkAYwBvAEEAbABsAGcAZQBtAGUAaQBuAGUAcwAgAFIARwBCAC0AUAByAG8AZgBpAGxmbpAaACAAUgBHAEIAIGPPj/Blh072AEcAZQBuAGUAcgBlAGwAIABSAEcAQgAtAGIAZQBzAGsAcgBpAHYAZQBsAHMAZQBBAGwAZwBlAG0AZQBlAG4AIABSAEcAQgAtAHAAcgBvAGYAaQBlAGzHfLwYACAAUgBHAEIAINUEuFzTDMd8AFAAcgBvAGYAaQBsAG8AIABSAEcAQgAgAEcAZQBuAGUAcgBpAGMAbwBHAGUAbgBlAHIAaQBjACAAUgBHAEIAIABQAHIAbwBmAGkAbABlBB4EMQRJBDgEOQAgBD8EQAQ+BEQEOAQ7BEwAIABSAEcAQgBVAG4AaQB3AGUAcgBzAGEAbABuAHkAIABwAHIAbwBmAGkAbAAgAFIARwBCAABkZXNjAAAAAAAAABRHZW5lcmljIFJHQiBQcm9maWxlAAAAAAAAAAAAAAAUR2VuZXJpYyBSR0IgUHJvZmlsZQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/+EAdEV4aWYAAE1NACoAAAAIAAQBGgAFAAAAAQAAAD4BGwAFAAAAAQAAAEYBKAADAAAAAQACAACHaQAEAAAAAQAAAE4AAAAAAAAASAAAAAEAAABIAAAAAQACoAIABAAAAAEAAAFqoAMABAAAAAEAAAEaAAAAAP/bAEMAAgICAgIBAgICAgICAgMDBgQDAwMDBwUFBAYIBwgICAcICAkKDQsJCQwKCAgLDwsMDQ4ODg4JCxARDw4RDQ4ODv/bAEMBAgICAwMDBgQEBg4JCAkODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODg4ODv/AABEIARoBagMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/AP2S8DeBvDGt/DGw1bVrCfUNSu5Z5bi4nvp2eRjPJkk7/wD9Vdd/wrLwP/0A/wDycn/+Lo+GX/JENE/7bf8Ao+Su8oA4P/hWXgf/AKAf/k5P/wDF0f8ACsvA/wD0A/8Aycn/APi67yigDg/+FZeB/wDoB/8Ak5P/APF0f8Ky8D/9AP8A8nJ//i67yigDg/8AhWXgf/oB/wDk5P8A/F0f8Ky8D/8AQD/8nJ//AIuu8ooA4P8A4Vl4H/6Af/k5P/8AF0f8Ky8D/wDQD/8AJyf/AOLrvKKAOD/4Vl4H/wCgH/5OT/8AxdH/AArLwP8A9AP/AMnJ/wD4uu8ooA4P/hWXgf8A6Af/AJOT/wDxdH/CsvA//QD/APJyf/4uu8ooA4P/AIVl4H/6Af8A5OT/APxdH/CsvA//AEA//Jyf/wCLrvKKAOD/AOFZeB/+gH/5OT//ABdH/CsvA/8A0A//ACcn/wDi67yigDg/+FZeB/8AoB/+Tk//AMXR/wAKy8D/APQD/wDJyf8A+LrvKKAOD/4Vl4H/AOgH/wCTk/8A8XR/wrLwP/0A/wDycn/+LrvKKAOD/wCFZeB/+gH/AOTk/wD8XR/wrLwP/wBAP/ycn/8Ai67yigDg/wDhWXgf/oB/+Tk//wAXR/wrLwP/ANAP/wAnJ/8A4uu8ooA4P/hWXgf/AKAf/k5P/wDF0f8ACsvA/wD0A/8Aycn/APi67yigDg/+FZeB/wDoB/8Ak5P/APF0f8Ky8D/9AP8A8nJ//i67yigDg/8AhWXgf/oB/wDk5P8A/F0f8Ky8D/8AQD/8nJ//AIuu8ooA4P8A4Vl4H/6Af/k5P/8AF0f8Ky8D/wDQD/8AJyf/AOLrvKKAOD/4Vl4H/wCgH/5OT/8AxdH/AArLwP8A9AP/AMnJ/wD4uu8ooA4P/hWXgf8A6Af/AJOT/wDxdH/CsvA//QD/APJyf/4uu8ooA4P/AIVl4H/6Af8A5OT/APxdH/CsvA//AEA//Jyf/wCLrvKKAOD/AOFZeB/+gH/5OT//ABdH/CsvA/8A0A//ACcn/wDi67yigDg/+FZeB/8AoB/+Tk//AMXR/wAKy8D/APQD/wDJyf8A+LrvKKAOD/4Vl4H/AOgH/wCTk/8A8XXy9a+IfENjplvZWviDXora3iWKFP7RmO1VGAMlsngd6+3a+DD1NAH1v8Mv+SIaJ/22/wDR8ld5XB/DL/kiGif9tv8A0fJXeUAFFFFABRRRQAUUUUAfk/oX7c/gv4Rf8FZP2vPA37RXxgm8P+D9Nv8AQ4/AOm3WlXFzHbA2cj3gj+zQOwyzwE+YeSeOhqv+zV+2xdaF/wAEn5Pi98W9W8VfFTxJrfxUvPDPg7TtNtY21HWZpXX7HZwphFA27jlugGOTtU/VfwY/Z98UfD7/AIKNftX/ABe8RXfhfUPDfxNu9Em8P21rJJJd2y2VrPFN9oV4lRCWkXbsd8gHO3gV8oaP+wL8W9G/4J/+EfCWm+Mvh9YfGPwP8apPiN4Su2e5n0edhJuitro+SkqgjBYojYKgDIJIAPXdQ/4KBaf4Z8BfGVfHnwO+I/gr4m/DfR7TXNW8E3l3aTTXmmXFxDAby2uYnaKRIjMrSdMDgEncF9Rt/wBtD4WXn/BQbwL+z9aJez6l4q8DJ4q0/XfOjWzSN4JblIHBO4ObaJps9NpX1OPMPBf7KXxM8efHv44/Fv8Aaa1P4eL4n8ffDh/h/ZaB4J+0zWGmaXJ80rvNcqryTtIFYYAC4OGOQF+QdP8A+CZ37Qlp+xZdQt8R/hwv7R1r4lsV0XxFFf3f2GDQLTRn0mOyMptfMV/Klc4ERHyL82S2AD9U/wBnv46WP7RP7Jtj8XPDXhjV9B0bUru9i0e21SVBJeR288kAmyuQqu8bAA8jFfm/+xj8bfHHxV/amhtvjH+1H428GfHyx1++i8SfBDWvDttZ6ZPaqJBHb2YZFbei7JCyyNL+7bcrL+8b9PfhL8Mv+FR/sT+BfhR4eu7SC88N+FoNLhvvJLxPdJCFe4Kcbg0u6QjjO49K+ILn9mT9p74zftr/AAL+IX7Q1z+zromn/C7W11aDWPAFvfnWNfkjZHihlNwoEVuXRWdAxGSwAIIIAPWvEX7ZWreB/jh4T0n4h/s7/FTwL8OPE3jWLwjonjbU7qx2TX0sjxws9mkxnigcxsyyMOU+bHavn6D9tP4+N/wUF/am+Gr/AAA8f+LfCng5LGLTLHw/Pp9vqOhxSWrM15NNJLtkW4x58QG4ouAwzkV5Y3/BOr486h8TdB1LxBf/AAO1/WNG+LNv4tn+I+oalqk3ibXbJLsSfZJQ8TRW4WMk7ELKzpGMqAXb6+T9nv43eGv+CtHxp+LXhDVPhle/Cj4saDY2niWDVpbtNX06ax01rSH7MsaGJlZ9rMzt91m+XKjcAeV/CP8AbL0zwt+w1+y9o3hfQfi98dfiD8Tl1k+HYPF3iPT7fU7pbG8nE5u7+d44SwPyRIMsyKq/exu8l/ap+Mnxi8X/APBS79mz4ew/DD9oLRPDb+HrjxDd+DvCvim30vUNcu/syS7Glim2lbORSjqzYJD7chs12F1+xH8Z4P8Agkt8Iv2crzwd+zP8S73QNO1eHUNR8RajqcEuj3t3ezz295pt1DAJNqpKPMRkQsyKMsor2/wP+yb8TfC37WP7IvjnW/HejeMbL4WfDzUPD3iS/vrif+0NQubiFkjeFTGweJS23dJIrbUHBPFAHnXwR/a78M+C/wBhTxn8Q9ePx08beItY+Nt54U0Twn4p1C1vdYbWJxAY9JtHVlijtY8tjcwCYkxnKqfW4P29fAmjfBf47a98UvA3jD4YeMPhKLI+KfCV3Pa3tzL9u2/Yvss8EhhnEzMqhgwC5ycLzXzxrf8AwTw8f67+xV4m8G32ufDO98awfH6++JXhy11EXN1omoWswRBp+oDylkUSKG3+Wr4wACckjdvv2FfFHjv9gv43/DTVPhz+zT8BvEniePTJPDtz8OI72ZWnsrhrj/iYSzRoTEzBFURISgeRjvO1QAUvBP7QnxH+KP8AwXq+DGka94G+LXwT0t/hjqVxeeD/ABHebbXUCzNJDdqkTmOU7cKSyh0dCpA219WftufFvxP8JP2DtUl+Ht01r8VPF2sWXhPwOUClzqV9MI1ZAQRuSITSDg/Mg4ryb4d/AH9qbV/+Cmnw1/aK+PfiP4KyN4e8G33h6fR/BgvRs8wApOGnj/ePI7ys4yixhUCh8kjtv2l/2WvEH7Sv7XHwRuPEniCHSfgf4Ljv9R1Oy0rV7my1q81WVAlq8Txx4jSLarCQSB/mcbec0Aee/srftC+N9F/Y7/aV0T466xe+Ovih8AtY1dPEF0ESK41jT4Ypbu1uFGAo81YpkQkfdjUknmtnw7/wUD8M6p+yF4h+OOu/B34p+EvAMUWmReE5r63iNx4tvr1niNpZR7gCY5kKmQsFZfnHHB88T9gjxb8Pv2ifjde/B3xbaTfDb4nfBzUfC+uWvjPxFe3mpDWZIpY7W7MpikLwqpRCWfcqvLhW+UV2fj79i3xN8QP+CIfwv/Zwvtf8J2vxC8FWul3NpeTJLc6Nc31krK0UuUWRreRJJEJ2BhuB2nG0gHuXwR/abi+Kvx48a/CXxb8N/FHwi+KvhnT7fVLrQNXvrW+S5sZztS4huLWR43AYhWXjaWAyfm2/Kf7TP7SvxJ/Y5/bz8S+JvF2rat4v+CXj7wHdSeCNLmgVotH8TWMQ2WgZF3CG4+UncSS0xxxGa9y/ZW+APif4U/ETxN4g8T/BX9l/4VTXWlx2NtN8MFvZby6PmB5fOluI4wsBKoVjUMcjLNwK6L9sP9n7xV+0L8OPg5o/hK98MWFz4T+K2k+KdSbW5ZUSWytUuVmii8uKQtK3nJhWCqcHLDjIB5V4a+OfxA/Zy/Y5+AnhD4x2/jz48/tRfEpp57Pwxpy20N2020XE0LM3lxQQ2sTxo7HPzBiPlBK2rj/goT4K039mfx94z8QfDTx34c8Y+BvGFj4Y8XeCL+SAXun3F5IUhlWVWMckLAOQwI3bGwMYY9v+0x8BPih41/aY+Bnx7+B+s+CbT4n/AA0m1GKLSfF5nTTNVs76DyZo2kgVnjkVd+0hcEvkkbRn5r8SfsE/Fr4gfsn/ALSN74y8b+AbX9oP4reKtK8QbtJjuf7A0w6W5+x2gd08512PKrSFMgsvyttJYA+7Ivjzosv/AAUquf2aRoWqDxBD8PB4yOsGRPspg+2rZ+Rt+9v3MGz0xXJ+Kv2q/CHgj9rz4jfCTxXoesaRc+FPhlL4/XV5JY/s+pafASs6xDORIjKwweuxj0FeRfBf4B/tI23/AAVNu/2mPjz4g+EF1c3/AMLX8KNo3gpbxE0+QahBcxqn2hMyoVjldpGdSHk2KhVQ1Y37cn7G/j79pL4kfDLxP8MPFfhzwdqmn2F/4e8XzanPNG1/ol75Ykij8uKTc64m2q21SZfvDFAHVeC/29/APj34I/s7eLPD3hDxHdal8WvG0vhiy0IXEP2nSXgkdbm5nOcNHEgjlIXkpKvQ8V8f+K/2wviJ8L/+Cevizxr8JR8U/H18fj3qPh+/1rx3d2mof2Wkctv/AKHEoKbYJRIUhUA7CJMkArXv/wAJf2GfEvw4/wCCvut/F6XXPCr/AAM0y91fW/APhm1lmN7pmq6tb2cF6zRtEI0i2QyhdsjHiM7QS2OS1P8AYR+K15/wS8+L3wgt/FPgK38ea18Zrnx74buTPcvp/lNPBJFBct5IdHKxvnYjgHaMkEkAHP8AxA/aQ+K/hv8A4LRfCfUofhT8aNRudb+Bk8x+EWnajHJJHenVbtRPchZfsyYihBMxyQCi9SBX6F/s5/Hrwz+0l+y1pHxQ8L6XrGg29zdXFlfaTqqKt1YXUEhjlifaSDggEEdVYZAOVHiHhT4GfG3U/wDgqD8N/wBpH4m3XwwtLnTvhJP4X8QaZ4au7x1F++ozXCNbiaL5oBE6As7ht4bC4wa7L9jn4E+Lf2ev2Xdf8E+M9R8O6nqt9411TWopdGnllhEF1KGjUmSOM7wB8wCkDsTQB8W6T+158d/iLZ/t3+DNf+GvirwvpXhDw3rQ0bWrSa2t5fCTxaTdyxR3MkUu+SeR41aOSLO09x26b9kX9ta4f4W/stfCr4kfDj4t2D+NdAXTdC+I3iFkktde1G2hBm+87TFGOFWZuXJBxtyw7W5/Za+PelftHftjx+GNY+FF38J/jloV7mbVJ7yPV9N1CTS57WFNqRtF5PnT5d8u3lrwu7ir1t+yH8SIfhp+wLo7634J+1fBHUIrjxYwu7jZdqtukZFmfIzIdyn/AFgj4P4UAa/jj/goF4U8H+KvH+pWnwr+IHij4PeAvFK+GfG3xE0+ezFppmoeZHFIkds8onuI4nljV3RcAkYzlS337BPDdWUNzbyJNbyoHikQ5V1IyCD6EV+P99/wT98c+Gv2iPirf+G/hh+yX8YPCvjHxddeINN1j4mQagNV0L7UweW1aO3jKzwI2TGBIpJLEld3H7AW8EFrYw2ttDHb20MYjiijUKqKBgKAOgAGMUAS0UUUAFFFFABRRRQAV8GHqa+86+DD1NAH1v8ADL/kiGif9tv/AEfJXeVwfwy/5Ihon/bb/wBHyV3lABRRRQAUUUUAFFFFABRRRQAUUUUAFeO/FD9oP4I/Ba70+2+KvxR8G+Br2+TzLO01TUVS4mTO0usQy5TPG7GPevYq/Kf9mDQPCPjv/gtN+3lffE/RtC8SfEXS9e0+x0S31y1S4ltNF8qVY/s6SA7Y3QW+8qMcpk/NyAfpl4P8aeEfiD8PrDxZ4G8TaH4u8M3qlrTU9IvUubeXBwQHQkZB4I6ggg4NdNX8+Vh441/4Qfsc/wDBUrXf2f8AXJ/Cngrw78StKPgm+0Mr9lsrmbUY4dRS1GDGEEZiT5RgIUxwFr7n8Z/HfxLo/wDwVj+D3hd/iY2jfDu5+BGpeJvEcaCOeCKWOOSRb+SMAltqoXA6MFOAcmgD9Jq+cbL9rT4A3nw4Pi0+PI7LQD8QG8BR3V3pl1H5muD/AJdFUxbjnk+Zjy8A5YYr81/hD8eviZZ/8FFv2W00X4lftKeOvhj8VX1aDU7v4paNpdnputLDa+ZFdaTDbHzbdFchiHVflKAFgzAeX+CPHvi74f8A/BP/AO3eD9an0S61T9uqTS7+SKJHM1rKcyRHepwCUXkYPHWgD99bfWNIu/EOo6Raapp11q1gIzf2UVyjz2okG6MyIDuTcORuAyORWjX4t/Db4QfETW/+C5X7fGmeGfj58QfDniGy0rS5Le7jW1H2+S/0eU2a3H7o/u7JpYhHsAJEa7iSas/s9ftS/F79oD45fslfByDxTrGi+NfCdvrOofHkIiedONMl+x20M/y4Hny7DIBjmXjoKAP2brA8VeKfD/gj4aa/4x8V6rbaJ4Z0Wwlv9Uv7jOy2giQu7nAJOFB4AJPQAk4r4f8A2sfiD8R7r9ub9mD9m3wP4/1P4SaV8SbjV7jxB4s0uGFtQENhaiZLS1eZWWN5G+UtjcC0eMjKt8S/ErxP8WvFH/BP3/goX8EPF/xg8T+MLD4OalZvpXit4LZbzWrO4hmaTS71kQK4jZF3soV93GQoCgA/YD4RfG34e/HD4Jv8Q/h/qWpXXhRbh4ftep6VcacTsRJC4W4RGMZSRGDgbSD14IHG+Ev2uv2ZfHnxJ0rwf4N+N3w+8R+KNTmMOn6bY6msk1y+C21B3OAT+Fcz+zl4Y1Twp/wSL8DWGreMNe8az3HgCG9iu9WWISW0U1gjpap5aqPKiUhFzlsDkmviX/gln4Z+MUn7E3wa1+68J/s8P8HANYa31kQ3h8ZeYL+9XLMYvIwJ9yjD58nH8XFAH6g/Fz4ueAvgZ8BdY+JnxM1iXQfBulvAl7ex2U10yGaZIYwI4lZzl5FHA4zk16SrBkDA5BGQa/m0+P3ir4yfHT/gjJ8cf2hvGPx41WHRLz4j/wBhJ8LfsNsNNt7WDUIPs8CHAlS6jISYuCWaNDuB3Fh+jP8Awuvx9Yft9/8ABQnwzf8Ajm6s/DXgb4aaVqvhGzuJI0i0qZ9GM0s8RI7zFWJJIyQPagD9M6K/ErwH8ZPjx8dbz9ij4HD41eJ/hyfGfw1vfFfi7xhpUcH9sazLDNcRx20UkiFUZRAWbauSGJIO0CvUP2hfF3ivQvFOhfCXRv2if2m/G3xM8O/DaTVru0+Fnh7SYTK0U00Y1bVbicqnlkiKJoI3B/dlsAyUAfqpfaxpGmXun22papp2n3N/P5FjFc3KRvdSYzsjDEF2xzgZNcdpHxV+H+vftEeLfhPpPiW2vfiH4Ysra913RlhlElnDcKGhcuVCNuUg4ViRkZAyK/Dzx5q/xJ/aG+Cf/BMX4meJviv4o8P+KvFXis6Rc3elW9tGttexXM0Q1SJTHtF06ooIx5fAwgr1HVvjH8a/2Z/jB+3fpUvxQ8S/GG7+H/w90O+8O3/iiztmmiur0xr5riGNA6xG5LbTwQnPU0AftpRX5IeFPFnxw+DH7Zf7F9rq37Qfir446H8cNNuj4n0XW7e0MVrItjDcrd6eYY1aKFWm+7kjap67vl+aNf8AjH+1Vbf8E/vjd+1DZ/tG+JrcfDP4x3Oh6T4Q/sq2azv7UalbxMt3IV3yri7RFThUSI4+ZtygH9A1FRQSiexhnAKiSMOAe2RmpaACiiigAooooAKKKKACiiigAooooAK+DD1NfedfBh6mgD63+GX/ACRDRP8Att/6PkrvK4P4Zf8AJENE/wC23/o+Su8oAKKKKACiiigAooooAKKKKACiiigAr5i+Mf7G37OHx6+IkPi/4mfDe21XxZHbC2bWLDVLvTbqeEDHlyvayxmUbflHmbiF4BAr6dooA+IPhz+w14D+GepfEnwZo3iTWdU/Zp8a6ZNHqPwg1iL7VY2l7K8Gbq2vGf7REoSJl8vJO51fzMxpjsfh5+w/+y58LPEVrq/gr4U6fp+qwaZeaY13c6neXj3FrdxrFPDN50ziZDGoQLIGCKWCbdxz9XUUAfJ3gP8AYf8A2Y/hp8SvC3jDwh8Orix8R+GruS48P3lz4l1K7/s0yJIjRwpNcMixYlk/d42ZO7G4AjpB+yX+z8vw7h8JjwCBoEXxB/4T6O1/tq+413JP2zd5+7v/AKrPlf7FfRtFAHhV/wDs1fBfUf21tP8A2h7jwcE+LtnbiBNcg1O6hEyiFoFMsCSCGVljYoGdCQAv91ceMfs1fsw6x8Kv23v2ovjf4ttvCFtrPxI8UGTQrXQppJRZ6Yju+6UvGmLid2WSVV3LuQENzivtyigDx34yfAL4S/H7wdpWifFbwjB4lttLu/telXCXk9nd2E2APMhuIHSWMnAyA2G2rkHArA0H9ln4C+GP2T/FHwR0L4fWenfDfxJ5p1/T47+6M+pPLjfJNdGU3DyHao3mTcAoAIAAr6BooAwdI8MaHoXwx0vwbpVgtt4a07S49Ms7Iyu4jto4hEke5iWbCADJJJ7knmvl74efsGfsqfCn4qaB418AfDK98P8AiPRLg3GmTr4w1ieOCQhgT5Mt20TcM3DIRz0r6/ooA+NvEn/BP39kLxd498YeJPEHwb0291TxPO9xq+zV7+GFp3cO88UUc6pBKxHMkSoxBYZw7huw+Jf7HX7Nvxg+PFp8SviN8L9M8S+MILOO0e6lvrqKK6ijOY1uIY5Vin28Y8xW4Cjoq4+maKAPlnxV+xX+zT4z+Bvw++HevfDdJvDfgaJ4vCZt9avoLzS43OXRLtJhOyscEq7sCQDjIBFbW/2IP2X9fm8Gtf8AwvgjXwxoS6FpkdnrV9bLJpyuZBaXIjnX7VDvZmKz79xJ3ZBIP1fRQB8ya/8Asdfs6eJv2SvCHwP1f4erN8N/Ct4bzw5YJrN6k+nTF5HLx3Qm8/JM0mQZCDnpwMdVpf7NvwS0jxL4y1a18B2U134r8MWnhrxEt7eXF3DqGmWsAt4LZ4ppGTCxAKWChmxliTzXuNFAHzH8Jf2OP2cfgf8AFBfGnw3+HMWk+J4rV7Syv73WL3UXsIHzuithdTSCBTlgfLCkhiCcHFaV1+yf8Abz9mbxv8HbjwF5nw58X+IX8QeIdJ/tq+H2y/eaKdpvNE3mx5kgiOxHVflxtwSD9FUUAMjjSKBIoxtRFCqPQDpT6KKACiiigAooooAKKKKACiiigAooooAK+DD1NfedfBh6mgD63+GX/JENE/7bf+j5K7yuD+GX/JENE/7bf+j5K7ygAqteG5XSLprJUe8ELGBX+6XwdoPtnFWahuLeC7sJ7W6ghubWaNo5oZUDpIjDBVgeCCCQQetAHxNpPxe+K9zFpnw/1fV7Twn8UoYLy88ST67oFs0FibfTre5jt4hbXbxSRyPMX8zzd4iilUqjYZdv4S/HHx34/wDE/wAPdf1SHRrDw/4u1S+0o+G0smF3pDWth9qFw85fL7njkUqUAC3EGMFSZPfz8H/hMfBK+Gm+GHw9bw6t8b4aW3h21NqLkx+WZ/K2bfM2fJvxnb8uccVv2ngvwdp/xEvvF9h4T8NWXiy9hEN5rUGmQpe3EYCDY8wXey4jjGCcYjQfwjABm+P9a8ReG/h7qniLQ4dFuLfS9Oub29ivjIGkWKPeFj2cZIVhz7e9R/8AFz/+pD/8maPin/ybH8Rv+xYv/wD0mkrvKAOD/wCLn/8AUh/+TNH/ABc//qQ//Jmu8rzH4ua94h0H4Py/8IvY67Pq+o3kWnre6Tpj302lRykiW98lFZnMUYcou1laXy1bClmABpf8XP8A+pD/APJmj/i5/wD1If8A5M18deBfi34j128/ZDupPH1/d6j4p8N6ePFukHU7cX87zaNdSNM+lmFZViedY5/tiyHaIwAnluzV9CfA7+2r7UPiNr0vi3xP4l8HSeIG0vwwNZuUncx2O6C6uVZUU4ku/tCKOVMdvE6/fNAHoP8Axc//AKkP/wAmaP8Ai5//AFIf/kzXeUUAcH/xc/8A6kP/AMmaP+Ln/wDUh/8AkzXeUUAcH/xc/wD6kP8A8maP+Ln/APUh/wDkzXeUUAcH/wAXP/6kP/yZo/4uf/1If/kzXeUUAcH/AMXP/wCpD/8AJmj/AIuf/wBSH/5M13lFAHB/8XP/AOpD/wDJmj/i5/8A1If/AJM13lFAHB/8XP8A+pD/APJmj/i5/wD1If8A5M13lFAHB/8AFz/+pD/8maP+Ln/9SH/5M13lFAHB/wDFz/8AqQ//ACZo/wCLn/8AUh/+TNd5RQBwf/Fz/wDqQ/8AyZo/4uf/ANSH/wCTNd5RQBwf/Fz/APqQ/wDyZo/4uf8A9SH/AOTNd5RQBwf/ABc//qQ//Jmj/i5//Uh/+TNd5RQBwf8Axc//AKkP/wAmaP8Ai5//AFIf/kzXeUUAcH/xc/8A6kP/AMmaP+Ln/wDUh/8AkzXeUUAcH/xc/wD6kP8A8maP+Ln/APUh/wDkzXeUUAcH/wAXP/6kP/yZre0T/hKP9K/4ST+wf4fs/wDZvm++7dv/AOA4x71vUUAFfBh6mvvOvgw9TQB9b/DL/kiGif8Abb/0fJXeVwfwy/5Ihon/AG2/9HyV3lABWfq1+2l+FdT1NLG+1R7O0knWysow89yUUt5cakgF2xhRkZJHNaFFAH5pH4tfESX4Y/EHVfFXj+fw3feHfH7XN7pOs6kfC809pJ4cs7s6Tp8s1m7TNDc3DbFZA8i+WzuvmDPsXgT4l+JPEP7XGnWbeKNV/tO78Raraa54EvFhVtE0iGzEtldPCF82J2f7KTIzEOb1l5CoE+yiqnGQDg5GR3owNxOBn1oA8t+Mlnqtz+zv4zl0/Wf7MtoPDuoNdwfZEl+1L9nY7dx5TgMMj+97Vr/8I/44/wCihH/wRQf40fFP/k2P4jf9ixf/APpNJXeUAcH/AMI/44/6KEf/AARQf41yF14hhstSuLO9+PPhG0vIJGjngmjsUkidThlZTJkEEEEHpXtEhIgcjrg1/MN8b3aT9s/4tyOSWbxnqhJ9SbuWvl+KOIZZTShOMObmdt7H7v4EeDtDxBx+KwtXFOiqUFK6ipXu7W1aP6CP+Ep0/fu/4aA8EbsYziwzj/v5S/8ACVWH/RwPgn8rD/45X801FfF/8RMq/wDPhf8AgX/AP6a/4key/wD6G0//AAUv/kz+o2PQ/Gk1uksXxFWWJ1DI6aHAVYHkEEHkU/8A4R/xx/0UI/8Agig/xqT4ZyPL+z14JkkYs50S1yT/ANcVruK/WacuaKfc/wA9cVR9jWnTvflbX3M4P/hH/HH/AEUI/wDgig/xo/4R/wAcf9FCP/gig/xrvKKswOD/AOEf8cf9FCP/AIIoP8aP+Ef8cf8ARQj/AOCKD/Gu8ooA4P8A4R/xx/0UI/8Agig/xo/4R/xx/wBFCP8A4IoP8a7yigDg/wDhH/HH/RQj/wCCKD/Gj/hH/HH/AEUI/wDgig/xrvKKAOD/AOEf8cf9FCP/AIIoP8aP+Ef8cf8ARQj/AOCKD/Gu8ooA4P8A4R/xx/0UI/8Agig/xo/4R/xx/wBFCP8A4IoP8a7yigDg/wDhH/HH/RQj/wCCKD/Gj/hH/HH/AEUI/wDgig/xrvKKAOD/AOEf8cf9FCP/AIIoP8aP+Ef8cf8ARQj/AOCKD/Gu8ooA4P8A4R/xx/0UI/8Agig/xo/4R/xx/wBFCP8A4IoP8a7yigDg/wDhH/HH/RQj/wCCKD/Gj/hH/HH/AEUI/wDgig/xrvKKAOD/AOEf8cf9FCP/AIIoP8aP+Ef8cf8ARQj/AOCKD/Gu8ooA4P8A4R/xx/0UI/8Agig/xo/4R/xx/wBFCP8A4IoP8a7yigDg/wDhH/HH/RQj/wCCKD/Gj/hH/HH/AEUI/wDgig/xrvKKAOD/AOEf8cf9FCP/AIIoP8aP+Ef8cf8ARQj/AOCKD/Gu8ooA4P8A4R/xx/0UI/8Agig/xre0TT9csPtX9s+If7e37fJ/0BLfysZz90/NnI69Me9b1FABXwYepr7zr4MPU0AfW/wy/wCSIaJ/22/9HyV3lcH8Mv8AkiGif9tv/R8ld5QBx3i74heBfAA0JvHPi7w74Qj1rUV03SpdYv47WO7umRnWBHchTIwRtq5yxGBkkCqOi/Ebw1438A+KtX+GOs6D4/utFurrT5Lew1FPL/tCBcm0kk5EbElASRgBw3IIz8yftxXXgaP4H+A9M8a6O2oLrPiWXTbG6l8cw+FrW1Mum3vni4vpQyrFLbiaHYUO9pFAwdpr0f8AZZ+HnhrwN+zHaaj4cv73Ul8Sumo3Es3iuHX4oysMdukUF7DHGksKpCMMF5LNknsAfMmmaX8ULW/8WWfxV8NfGybwxL4rvru7k043d3NdahP4d0xoXtk0+SV0s1uhqHlhSYYZXhXcJIzt9E+DWnfFKL41+C28cW/j3/hY1vfXo8d393Hef2Pc6adORbVIZT/ojsJ/sxCwkurrdEgbpCfs5/E3huPRU1KTxDocenPMYUumvoxE0gzlA+7BYYORnPBrRS/sZNYl09L20e/jiEslssymVEJwGK5yFJBwelAHm/xks9Vuf2d/Gcun6z/ZltB4d1BruD7Ikv2pfs7HbuPKcBhkf3vatf8A4R/xx/0UI/8Agig/xo+Kf/JsfxG/7Fi//wDSaSu8oA8/l8P+OPs7/wDFwj90/wDMCg/xr+br4xRzxftb/FGK5uPtdwni3UVln2BPMYXUmW2jgZPOB0r+oKX/AI93/wB01/MJ8bP+Tyfiz/2OOp/+lctfmniX/utH/E/yP7d+hF/yPcy/69R/9LPMaKKK/Hj/AEfP6WPhroPjR/2f/BjxePfJibRrYpH/AGJC20eUuBknmu4/4R/xx/0UI/8Agig/xpfhf/ybr4I/7Adr/wCiVru6/qeh/Dj6I/wRzP8A3yr/AIpfmzg/+Ef8cf8ARQj/AOCKD/Gj/hH/ABx/0UI/+CKD/Gu8orU4Tg/+Ef8AHH/RQj/4IoP8aP8AhH/HH/RQj/4IoP8AGu8r5TX46+MZPCnxkkOl+AdP1HwC8U15Pqd/fWlv9neCWVgY5bZZ2IaIRpMEEU25ihLRtHQB7h/wj/jj/ooR/wDBFB/jR/wj/jj/AKKEf/BFB/jXk/hH493Pif8AaGg8F6loA8FmJrWxvLbVLa8ed9Tn0eLVns47hYBah4oZkyjS+a+yYhFVFL/SlAHB/wDCP+OP+ihH/wAEUH+NH/CP+OP+ihH/AMEUH+Nd5RQBwf8Awj/jj/ooR/8ABFB/jR/wj/jj/ooR/wDBFB/jXeUUAcH/AMI/44/6KEf/AARQf40f8I/44/6KEf8AwRQf413lFAHB/wDCP+OP+ihH/wAEUH+NH/CP+OP+ihH/AMEUH+Nd5RQBwf8Awj/jj/ooR/8ABFB/jR/wj/jj/ooR/wDBFB/jXeUUAcH/AMI/44/6KEf/AARQf40f8I/44/6KEf8AwRQf413lFAHB/wDCP+OP+ihH/wAEUH+NH/CP+OP+ihH/AMEUH+Nd5RQBwf8Awj/jj/ooR/8ABFB/jR/wj/jj/ooR/wDBFB/jXeUUAcH/AMI/44/6KEf/AARQf40f8I/44/6KEf8AwRQf413lFAHB/wDCP+OP+ihH/wAEUH+NH/CP+OP+ihH/AMEUH+Nd5RQBwf8Awj/jj/ooR/8ABFB/jR/wj/jj/ooR/wDBFB/jXeUUAcH/AMI/44/6KEf/AARQf41vaJp+uWH2r+2fEP8Ab2/b5P8AoCW/lYzn7p+bOR16Y963qKACvgw9TX3nXwYepoA+t/hl/wAkQ0T/ALbf+j5K7yuD+GX/ACRDRP8Att/6PkrvKAPza/bl8P8Aj5vE/hPWB4gtdK+F+pX1rY6heNN4gYaJPBb6jKtzKmmy4WOUypAWEfzOYQ7AIlfUv7N76jL/AME6vhrJrWi6kNQk8OBrjTbtZ/OlzuO3/TW80hxgqZyrFWXcE5A8r/bd8U+IfCfwW+Hd/oeveJdPt5vGAh1PSvDuuXmmalrUJsbxhBBLZWlzc5SRY52WOIgpC24gcj3v4FatHr37IHw+1qK7ur6K90iOdJ7nxDJrMrhskb7ySON5m7EuisCCpUEUAfI5+DfjZPAfja7g+HfjePWJPGL654RiS08LiYTnRIbAfb7ZpWsRajYI1NuFmKpuYBv3j+oeBvht48s/2otK1vxD4PtbDVLLxPq2saz4ztbi2MGsWt5ZiKGxjAkN0RG5gXbLGqKtghDHKZ+q11/Qn0UakutaS2nGbyRdC8QxeZu27N+cbt3GM5zxVxb6xfWJdOS8tX1COMSyWqyqZUQnAYrnIBIODjFAHm3xk0n+0f2d/Gd1/aer2P2Pw7qEnlWlz5cdx/o7HbKMfMvy4x6E+ta//CCf9Tl49/8ABv8A/Y0fFP8A5Nj+I3/YsX//AKTSV3lAHn8vgT/R3/4rLx590/8AMX/+xr+br4xQfZf2t/ijbedPceV4t1FPNnfdI+LqQbmPcnqTX9QUv/Hu/wDumv5hPjZ/yeT8Wf8AscdT/wDSuWvzTxL/AN1o/wCJ/kf279CL/ke5l/16j/6WeY0UUV+PH+j5/Sx8NfBHnfs/+DJf+Ev8cRb9Gtm2R6rhVzEvAG3gV3H/AAgn/U5ePf8Awb//AGNL8L/+TdfBH/YDtf8A0Std3X9T0P4cfRH+COZ/75V/xS/NnB/8IJ/1OXj3/wAG/wD9jR/wgn/U5ePf/Bv/APY13lFanCcH/wAIJ/1OXj3/AMG//wBjXkd7+yl8NtTjnOpa/wDFnULqa7srqW+uPHuoveM9k0r2YNwZfN2QvPLIke7YsjmQDf8ANXxx/wAFAfi58SvAXxz8D6Z4I8b+JfClnNo8stxFpd+8CzP5uAzBTyQOK+Af+Glf2gP+ix/EP/wdTf418PmvHWGwOKnh505Nx6q3a5/U/AX0VM74qyDDZxQxtOEKybUZKV1aTjrZW6H7wWv7OXge0+IVr4pi134jSa5bzJcJPceKrmZWuEtPsS3To7FJLn7N+5Nw4MpT5S5Feg/8IJ/1OXj3/wAG/wD9jX873/DSv7QH/RY/iH/4Opv8a/XP9gPx94x8f/soeJdQ8beJNY8U6nb+KpoYrzUrpp5Vi+zWzBAzHO0FmOPVjW+ScZ4fMsT7CFNp2b1t0PL8UPo05xwTkbzXFYunUgpRjaKlf3vVJH1d/wAIJ/1OXj3/AMG//wBjR/wgn/U5ePf/AAb/AP2Nd5RX2J/Nhwf/AAgn/U5ePf8Awb//AGNH/CCf9Tl49/8ABv8A/Y13lFAHB/8ACCf9Tl49/wDBv/8AY0f8IJ/1OXj3/wAG/wD9jXeUUAcH/wAIJ/1OXj3/AMG//wBjR/wgn/U5ePf/AAb/AP2Nd5RQBwf/AAgn/U5ePf8Awb//AGNH/CCf9Tl49/8ABv8A/Y13lFAHB/8ACCf9Tl49/wDBv/8AY0f8IJ/1OXj3/wAG/wD9jXeUUAcH/wAIJ/1OXj3/AMG//wBjR/wgn/U5ePf/AAb/AP2Nd5RQBwf/AAgn/U5ePf8Awb//AGNH/CCf9Tl49/8ABv8A/Y13lFAHB/8ACCf9Tl49/wDBv/8AY0f8IJ/1OXj3/wAG/wD9jXeUUAcH/wAIJ/1OXj3/AMG//wBjR/wgn/U5ePf/AAb/AP2Nd5RQBwf/AAgn/U5ePf8Awb//AGNH/CCf9Tl49/8ABv8A/Y13lFAHB/8ACCf9Tl49/wDBv/8AY1vaJoP9ifav+Jzr2r+dt/5CV353l7c/d4GM559cCt6igAr4MPU19518GHqaAPrf4Zf8kQ0T/tt/6PkrvK4P4Zf8kQ0T/tt/6PkrvKAPjT9tDxBoXh74W/DWW/ils9fuvF5g8Pa//wALDXwdFo1x/Z948ksupNHIEWSBJoRGYnWRpVGAdpHb/sweNfhv43/YE8IXfw0gtrvRLTSvs93ocevw6vdW1xgtLBcXHmESSyMxffIVLiUOwUNxxn7Z2pXNj8H/AAHa2vio+GX1PxR/Z85j8NHV5mgmtLhJp4lxtikt4y06yyfu1aNc5JUH1b9ny30zTP2PvDUsOqWeqJHHOt3q32RbVrgwzyRFpsIm6RFjCNKQN5Qt3oA+WtP+Dvjuz8Qa/q+pfB/UPFvhG913UZ4fDOo/2HbX0klzolnYxXUsENwLBY4vs0lsrRssuydmZG+Z27b4OfB34geEPin4Gh8T+HjLrXh/Ur681z4gfa7Z18QW0+nJbRWoIkNyxV/IyJY1QCxUgnKZ+i/+F4/CQ+F01lPHugTae2pnTA8UpdvtQhFwYSgBYP5JEuCOUZWHysCentfH3gu++KV34ItPE+jXHi21jMlxpSXKmdAqxuwK/wB5VmiZl6qsqEgBlJAOa+MmhaVq37O/jO81C1+0XOn+HdQltH8xl8tvs7HOAQDyq9c9K1/+FZeB/wDoB/8Ak5P/APF1U+LmoWFn+zb49gu760tZrnw1fpbxzTKjSt9ncYUE/MckcD1FdT/wlXhf/oZNB/8ABhF/8VQBzsvwy8D/AGd/+JH/AAn/AJfJv/i6/m6+MVtDZ/tb/FGztk8u3g8W6jHEmSdqrdSADJ5PA71/THL4q8L/AGd/+Kk0H7p/5iEX/wAVX8z/AMZ5Yp/2wPirNDJHNDJ4v1JkkRgysDdykEEdQa/NPEv/AHWj/if5H9u/Qi/5HuZf9eo/+lnmtFFFfjx/o+f0sfDX4b+C7j9n/wAGTzaLvlk0a2Z2+1zDJMSk/wAddx/wrLwP/wBAP/ycn/8Ai6w/hl4n8NR/s9eCo5PEOhpIui2wZWv4wQfKXgjdXdf8JV4X/wChk0H/AMGEX/xVf1PQ/hx9Ef4I5n/vlX/FL82YP/CsvA//AEA//Jyf/wCLo/4Vl4H/AOgH/wCTk/8A8XW9/wAJV4X/AOhk0H/wYRf/ABVH/CVeF/8AoZNB/wDBhF/8VWpwn4vf8FFPD2j+Hv2h/BEGj2f2OKXRJHkXzXfJ83GfmJr88q/Rr/gpDqWnal+0b4Gk06/sr+NNDkDtbTrIFPndCVJxX5y1/PPGP/I5r+q/JH+xn0bv+TbZX/hl/wCnJhX7G/8ABO3wf4c8QfsneKrzV9O+2XCeK5o1fz5EwotrY4wrAdSa/HKv2g/4Jwa1o2m/si+LIdR1bTLCZvFszLHcXSRsR9ltRnDEccH8q9Hw/wD+Rsv8LPj/AKXv/Jvan/X2n+bPvD/hWXgf/oB/+Tk//wAXR/wrLwP/ANAP/wAnJ/8A4ut7/hKvC/8A0Mmg/wDgwi/+Ko/4Srwv/wBDJoP/AIMIv/iq/dT/ACjMH/hWXgf/AKAf/k5P/wDF0f8ACsvA/wD0A/8Aycn/APi63v8AhKvC/wD0Mmg/+DCL/wCKo/4Srwv/ANDJoP8A4MIv/iqAMH/hWXgf/oB/+Tk//wAXR/wrLwP/ANAP/wAnJ/8A4ut7/hKvC/8A0Mmg/wDgwi/+Ko/4Srwv/wBDJoP/AIMIv/iqAMH/AIVl4H/6Af8A5OT/APxdH/CsvA//AEA//Jyf/wCLre/4Srwv/wBDJoP/AIMIv/iqP+Eq8L/9DJoP/gwi/wDiqAMH/hWXgf8A6Af/AJOT/wDxdH/CsvA//QD/APJyf/4ut7/hKvC//QyaD/4MIv8A4qj/AISrwv8A9DJoP/gwi/8AiqAMH/hWXgf/AKAf/k5P/wDF0f8ACsvA/wD0A/8Aycn/APi63v8AhKvC/wD0Mmg/+DCL/wCKo/4Srwv/ANDJoP8A4MIv/iqAMH/hWXgf/oB/+Tk//wAXR/wrLwP/ANAP/wAnJ/8A4ut7/hKvC/8A0Mmg/wDgwi/+Ko/4Srwv/wBDJoP/AIMIv/iqAMH/AIVl4H/6Af8A5OT/APxdH/CsvA//AEA//Jyf/wCLre/4Srwv/wBDJoP/AIMIv/iqP+Eq8L/9DJoP/gwi/wDiqAMH/hWXgf8A6Af/AJOT/wDxdH/CsvA//QD/APJyf/4ut7/hKvC//QyaD/4MIv8A4qj/AISrwv8A9DJoP/gwi/8AiqAMH/hWXgf/AKAf/k5P/wDF0f8ACsvA/wD0A/8Aycn/APi63v8AhKvC/wD0Mmg/+DCL/wCKo/4Srwv/ANDJoP8A4MIv/iqAMH/hWXgf/oB/+Tk//wAXR/wrLwP/ANAP/wAnJ/8A4ut7/hKvC/8A0Mmg/wDgwi/+Ko/4Srwv/wBDJoP/AIMIv/iqAMH/AIVl4H/6Af8A5OT/APxdb2ieGND8Ofav7Gsfsf2jb537533bc4+8xx949PWj/hKvC/8A0Mmg/wDgwi/+Kq/Y6rpep+b/AGbqVhqHl48z7NcLJsznGdpOM4P5GgC/XwYepr7zr4MPU0AfW/wy/wCSIaJ/22/9HyV3lcH8Mv8AkiGif9tv/R8ld5QB+av7c3hj41+PvHmg+E/C3w98TeOvhzDp9ndiDTfDGkanb/bpLuaC8mle7u7e4imt7JhJbi3dVlkkKTN5bMK+y/gloM3hL9i/wJ4esdI8QabcaboaQQad4ntrKxvI2UHak6WAe3h5xxCGVVx945z5p+1T4/8AFnw58KfDTXfBfi608O6w/i0W72F74fuNWtdVhezuRJHPFbyRukUWRcGXzECmFc7shG9l+GHiy88W/s8aD4o1a90vVNRmglF/Po+nT29u80UskUoigkaSUANGy7SzEkcE5FAHzo/wc+LOqfCTWrnxBoXgj/hb2q65PrMniPRfiRqunx2V69iLKKaAw2CP5MMKxwrbPuV0TdIzu7k9l4O+EPjvRvjPodzr+peG9S8O6J4m1TxFBrMFxIuo6lcX9q8LwzW3kiOKNWuJ23LM+RHAAo529U/7Q/w/j03UGltvGcer2OpSWN5oR8N3R1KFo7OO+eQ24Td5QtpYpN44+dU/1hEdb3h740+APFXxEtfDmhale373nmLp+pLYSjT76WOGOeSGG4K7JJFikVyoPZwMmOQKAX/i5p9hefs2+PZ7uytLqa38NX728k0Ku0TfZ3OVJHynIHI9BXU/8Ir4Y/6FzQf/AAXxf/E1y3xc1Cws/wBm3x7Bd31pazXPhq/S3jmmVGlb7O4woJ+Y5I4HqK6n/hKvC/8A0Mmg/wDgwi/+KoAZL4W8MfZ3/wCKc0H7p/5h8X/xNfzP/GeKKD9sD4qwwxpDDH4v1JUjRQqqBdygAAdBX9L8virwv9nf/ipNB+6f+YhF/wDFV/M/8Z5Yp/2wPirNDJHNDJ4v1JkkRgysDdykEEdQa/NPEv8A3Wj/AIn+R/bv0Iv+R7mX/XqP/pZ5rRRRX48f6Pn9Ovwy8MeG5P2evBUknh7Q3dtEtizNYRkk+UvJO2u5/wCEV8Mf9C5oP/gvi/8Aia4X4ZeJ/DUf7PXgqOTxDoaSLotsGVr+MEHyl4I3V3X/AAlXhf8A6GTQf/BhF/8AFV/U9D+HH0R/gjmf++Vf8UvzYf8ACK+GP+hc0H/wXxf/ABNH/CK+GP8AoXNB/wDBfF/8TR/wlXhf/oZNB/8ABhF/8VR/wlXhf/oZNB/8GEX/AMVWpwn41/8ABSHTdO039o3wNHp1hZWEb6HIXW2gWMMfO6kKBmvzlr9Gv+CkOpadqX7RvgaTTr+yv400OQO1tOsgU+d0JUnFfnLX888Y/wDI5r+q/JH+xn0bv+TbZX/hl/6cmFftB/wTg0XR9R/ZF8WTahpOm38y+LZlV7i1SRgPstqcZYHjk1+L9ftB/wAE4Na0bTf2RfFkOo6tplhM3i2ZljuLpI2I+y2ozhiOOD+Vej4f/wDI2X+Fnx/0vf8Ak3tT/r7T/Nn6Hf8ACK+GP+hc0H/wXxf/ABNH/CK+GP8AoXNB/wDBfF/8TR/wlXhf/oZNB/8ABhF/8VR/wlXhf/oZNB/8GEX/AMVX7qf5Rh/wivhj/oXNB/8ABfF/8TR/wivhj/oXNB/8F8X/AMTR/wAJV4X/AOhk0H/wYRf/ABVH/CVeF/8AoZNB/wDBhF/8VQAf8Ir4Y/6FzQf/AAXxf/E0f8Ir4Y/6FzQf/BfF/wDE0f8ACVeF/wDoZNB/8GEX/wAVR/wlXhf/AKGTQf8AwYRf/FUAH/CK+GP+hc0H/wAF8X/xNH/CK+GP+hc0H/wXxf8AxNH/AAlXhf8A6GTQf/BhF/8AFUf8JV4X/wChk0H/AMGEX/xVAB/wivhj/oXNB/8ABfF/8TR/wivhj/oXNB/8F8X/AMTR/wAJV4X/AOhk0H/wYRf/ABVH/CVeF/8AoZNB/wDBhF/8VQAf8Ir4Y/6FzQf/AAXxf/E0f8Ir4Y/6FzQf/BfF/wDE0f8ACVeF/wDoZNB/8GEX/wAVR/wlXhf/AKGTQf8AwYRf/FUAH/CK+GP+hc0H/wAF8X/xNH/CK+GP+hc0H/wXxf8AxNH/AAlXhf8A6GTQf/BhF/8AFUf8JV4X/wChk0H/AMGEX/xVAB/wivhj/oXNB/8ABfF/8TR/wivhj/oXNB/8F8X/AMTR/wAJV4X/AOhk0H/wYRf/ABVH/CVeF/8AoZNB/wDBhF/8VQAf8Ir4Y/6FzQf/AAXxf/E0f8Ir4Y/6FzQf/BfF/wDE0f8ACVeF/wDoZNB/8GEX/wAVR/wlXhf/AKGTQf8AwYRf/FUAH/CK+GP+hc0H/wAF8X/xNH/CK+GP+hc0H/wXxf8AxNH/AAlXhf8A6GTQf/BhF/8AFUf8JV4X/wChk0H/AMGEX/xVAB/wivhj/oXNB/8ABfF/8TR/wivhj/oXNB/8F8X/AMTR/wAJV4X/AOhk0H/wYRf/ABVH/CVeF/8AoZNB/wDBhF/8VQAf8Ir4Y/6FzQf/AAXxf/E1fsdK0vTPN/s3TbDT/Mx5n2a3WPfjOM7QM4yfzqh/wlXhf/oZNB/8GEX/AMVV+x1XS9T83+zdSsNQ8vHmfZrhZNmc4ztJxnB/I0AX6+DD1NfedfBh6mgD63+GX/JENE/7bf8Ao+Su8rg/hl/yRDRP+23/AKPkrvKAPgP9trTPFHxJ0jwh8K9N+E/xP8S+Gf7Xj1PXvEnhzw1pOpPawi2ukRLI31wqpc+cYlcmP/UySBWySp+i/wBnrTPFWk/sEfDbRvEOhWHgzxXZ+HY7aXTF0uO3isZEBVA9vC+xWACl1jcKWLbSAQa8I/br+2n4X/CJEjkk0NvHJ/tpZk1iaxMH9mX+z7VBpA+1Sp53lbdrBVk8tmBUGvo/4G/ZY/2Q/Af2GOyW0XSl8pLG2v4Icbm4SO//ANKUe03zfpQB5PpP7PvxA0vSbLUm+KXhW7+ISXWoTah4kfwTMBqn2+3iiuHngOoHMoNva+UUdY4o4EiEZQDbu/Dr9nkfDvxP4VtLLxXHfeAvC19dah4c0d9LK3sFzcWn2aQzXfnFZYwslyyqIUOZhljsG5mpftJ6Xpvw00LxBeeE7zQ59T8XX/hv7F4g1yw08Ws9mbgOZZ2maEbvs5CqrsSWArs9K+Munap8cIvCS+HtZt9MutXvdG07X3khNtd6hZQma4gCBzIoCpOA7KAzW8o4GwuAbvxc0+wvP2bfHs93ZWl1Nb+Gr97eSaFXaJvs7nKkj5TkDkegrqf+EV8Mf9C5oP8A4L4v/ia4r4ya7pWk/s7+M7PULr7Pc6h4d1CK0TynbzG+zsMZAIHLL1x1rX/4Wd4H/wCg2f8AwCn/APiKANuXwt4Y+zv/AMU5oP3T/wAw+L/4mv5n/jPFFB+2B8VYYY0hhj8X6kqRooVVAu5QAAOgr+kGX4m+B/s7/wDE7P3T/wAuc/8A8RX83XxiuYb39rf4o3ls/mW8/i3UZInwRuVrqQg4PI4PevzTxL/3Wj/if5H9u/Qi/wCR7mX/AF6j/wClnnFFFFfjx/o+f06/DLwx4bk/Z68FSSeHtDd20S2LM1hGST5S8k7a7n/hFfDH/QuaD/4L4v8A4mvKfhr8SPBdv+z/AODIJdZ2Sx6NbK6/Y5jgiJQeiV3H/CzvA/8A0Gz/AOAU/wD8RX9T0P4cfRH+COZ/75V/xS/Nm9/wivhj/oXNB/8ABfF/8TR/wivhj/oXNB/8F8X/AMTWD/ws7wP/ANBs/wDgFP8A/EUf8LO8D/8AQbP/AIBT/wDxFanCfkT/AMFIdN07Tf2jfA0enWFlYRvochdbaBYwx87qQoGa/OWv0N/4KKeIdH8Q/tD+CJ9Hu/tkUWiSLI3lOmD5ucfMBX55V/PPGP8AyOa/qvyR/sZ9G7/k22V/4Zf+nJhX7Qf8E4NF0fUf2RfFk2oaTpt/Mvi2ZVe4tUkYD7LanGWB45Nfi/X7G/8ABO3xh4d8P/sneKrTV9R+yXD+K5pFT7PI+VNtbDOVUjqDXo+H/wDyNl/hZ8f9L3/k3tT/AK+0/wA2fpD/AMIr4Y/6FzQf/BfF/wDE0f8ACK+GP+hc0H/wXxf/ABNYP/CzvA//AEGz/wCAU/8A8RR/ws7wP/0Gz/4BT/8AxFfup/lGb3/CK+GP+hc0H/wXxf8AxNH/AAivhj/oXNB/8F8X/wATWD/ws7wP/wBBs/8AgFP/APEUf8LO8D/9Bs/+AU//AMRQBBdXHwssviPB4Pu/+EHtvFM2myalHpMkduLk2kbBXuDHjIiDMBvPGc88GuQl+I/7Plv4HufEtxr3w8t9Ctr1rK6vJYYkS3mWJZmWTK5jAidJSzAKI3VydpBPG+LPFEt5+1t4C8Y+H5PBt14c0XRNStL2W/1G+tr2SW7NuVCRJYSIUT7MOTKCfMPyjb83h9xo/jH/AIVZ8RfDdlqngh9L8e+JVn8R6fqPivVrm6XSzp8NtcwR6m+mNM8k5hWIb4z5EBIjcNs8oA+9R4X8LMgZfDugMpGQRYRYP/jtL/wivhj/AKFzQf8AwXxf/E1zFn8S/BUek2scmp29pIsKhoLe1naOMgDKqTEuVHQHaOOw6VZ/4Wd4H/6DZ/8AAKf/AOIoA3v+EV8Mf9C5oP8A4L4v/iaP+EV8Mf8AQuaD/wCC+L/4msH/AIWd4H/6DZ/8Ap//AIij/hZ3gf8A6DZ/8Ap//iKAN7/hFfDH/QuaD/4L4v8A4mj/AIRXwx/0Lmg/+C+L/wCJrB/4Wd4H/wCg2f8AwCn/APiKP+FneB/+g2f/AACn/wDiKAN7/hFfDH/QuaD/AOC+L/4mj/hFfDH/AELmg/8Agvi/+JrB/wCFneB/+g2f/AKf/wCIo/4Wd4H/AOg2f/AKf/4igDe/4RXwx/0Lmg/+C+L/AOJo/wCEV8Mf9C5oP/gvi/8Aiawf+FneB/8AoNn/AMAp/wD4ij/hZ3gf/oNn/wAAp/8A4igDe/4RXwx/0Lmg/wDgvi/+Jo/4RXwx/wBC5oP/AIL4v/iawf8AhZ3gf/oNn/wCn/8AiKP+FneB/wDoNn/wCn/+IoA3v+EV8Mf9C5oP/gvi/wDiaP8AhFfDH/QuaD/4L4v/AImsH/hZ3gf/AKDZ/wDAKf8A+Io/4Wd4H/6DZ/8AAKf/AOIoA3v+EV8Mf9C5oP8A4L4v/iaP+EV8Mf8AQuaD/wCC+L/4msH/AIWd4H/6DZ/8Ap//AIij/hZ3gf8A6DZ/8Ap//iKAN7/hFfDH/QuaD/4L4v8A4mr9jpWl6Z5v9m6bYaf5mPM+zW6x78ZxnaBnGT+dcl/ws7wP/wBBs/8AgFP/APEVvaJ4n0PxH9q/sa9+2fZ9vnfuXTbuzj7yjP3T09KAN6vgw9TX3nXwYepoA+t/hl/yRDRP+23/AKPkrvK4P4Zf8kQ0T/tt/wCj5K7ygD4d/bV8T+AoPhro3h7xenhjdZzjWZpvFXgLxFrel29uqTRGQzaUFWKUHPEknC5JXlTXs/7L1podn/wT1+E1r4Y8VW3jTQF8PRfYNdtdNmsoryMklXSGcmVV5wPNJcgAsSSSeQ+Pf7L0Px4+KvhTxHqXxO8XaBpug24W38MLYWOo6LPcCRnF3NZ3kMkMs6ghVZ1baFG0Kck/RXhjStQ0D4daVpGq67d+KdQsrYRTapPaQW0l0R/EYoESJDjAwiqOOlAHkNv8B3t/hJ4l8GL8W/idLpfiDUL+81aSW30Yyz/bi7XMWRp4VUZpHI2qGXPDYwK1/DHwN8L+E/iVaa7pereJW0uwu7i90jw7PPC+n6bdXEKwTXER8oTl2TzOJJXUGeUhRuG3no/2gUu/Bljd6d8O/F114kutU1izHht7mzS7iTSpHS6ld/OMPURqqq7EvMgyBuZbngr9oHw5488Z+HoNE0PW/wDhFfEM89poHiSUxCC+uoLYXMsIiD+amIxMAzKAWt5RwNhcA9A+Kf8AybH8Rv8AsWL/AP8ASaSu8ryz4yat/Z37O/jO2/szV777Z4d1CPzbS38yO3/0dhulORtX5s554B9K1/8AhO/+pM8e/wDgp/8AsqAO5l/493/3TX8wnxs/5PJ+LP8A2OOp/wDpXLX9H0vjv/R3/wCKN8efdP8AzCf/ALKv5uvjFP8Aav2t/ijc+TPb+b4t1F/KnTbImbqQ7WHYjoRX5p4l/wC60f8AE/yP7d+hF/yPcy/69R/9LPOKKKK/Hj/R8/qR+F//ACbr4I/7Adr/AOiVru68L+Gvjfyf2f8AwZF/wiHjiXZo1su+PSsq2Il5B3ciu4/4Tv8A6kzx7/4Kf/sq/qeh/Dj6I/wRzP8A3yr/AIpfmzvKK4P/AITv/qTPHv8A4Kf/ALKj/hO/+pM8e/8Agp/+yrU4T8lv+Cl3/JyfgP8A7AUn/o6vzYr9Df8AgoprP9s/tD+CJv7K1rSfL0SRdmo23ks373qBk5FfnlX888Y/8jmv6r8kf7GfRu/5Ntlf+GX/AKcmFftn/wAE1P8Akzzxd/2N83/pLa1+Jlfsb/wTt8S/2N+yd4qtv7A8S6ru8VzP5unWPnRr/o1sNpO4c8dPcV6Ph/8A8jZf4WfH/S9/5N7U/wCvtP8ANn6f0Vwf/Cd/9SZ49/8ABT/9lR/wnf8A1Jnj3/wU/wD2Vfup/lGd5Xlnxo+KVj8GP2cfEHxF1HS7nWrbSzADYwTCN5jLPHCMMQQMeZu6dq1/+E7/AOpM8e/+Cn/7Kvkz9tvxZ/af/BOnxvZf8I14t07zJbH9/e6f5cS4vYDy244zjA9yK4M1rzoYKtVg9Yxk16pNo+t4AyrDZpxPluBxMb061alCSu1eMqkYyV1qrpvVanlf/Dzvwj/0SnxH/wCDeL/4ij/h534R/wCiU+I//BvF/wDEV+O1FfiX+vec/wDPxf8AgMf8j/UP/iVLw1/6Apf+Dav/AMkfvZ8C/wBtzw58cPj7beArHwNrHh25ms5rlbu51COVP3YB27VUHJzX3BX8+H7Dupf2V+37ot59g1LUsaZdL5FhB5spyo525HFfun/wnf8A1Jnj3/wU/wD2VfqXB2aYnH4B1a8ry5mtku3Y/gz6SHAmTcJcWrL8ppuFL2UJWcpS1bkm7ybfRHeUVwf/AAnf/UmePf8AwU//AGVH/Cd/9SZ49/8ABT/9lX1R+BHeV4N+0zHdy/sTePU0uPxzPrp0yb+x4fCcF/Ley3nluYV22QMpTfjIPyHAD5Bwe7Pj0KpY+DfHgA6n+yf/ALKvlu//AOCg3wB03Xb3TrtfHSXVrO8Ey/2MvyujFWH+s9Qa48ZmOFwqTr1FG+13Y+k4d4OzzP5TjleEnXcLOXJFytfa9tr2Y3WrjXbv9pzVvENzpHxhlt/+Ela+8yy0rWIoX8Jnwod8EaIqgTnUC+LZQLsXO1ggAUj2P9m2K5HwF1K8uLPxdoiah4gury18P+IbG/t5tChkCNHZJ9tRZHCrhnZN0QmkmWNmVBXif/DxP9nn/qev/BMv/wAdpV/4KJfs9M4Uf8J1knA/4ky//Ha4f9Y8r/6CI/ej6n/iC/Hn/Qnr/wDguX+R92UVwK+PQ8YZfB3jxlIyCNJ6/wDj1O/4Tv8A6kzx7/4Kf/sq9o/MjvKK4P8A4Tv/AKkzx7/4Kf8A7Kj/AITv/qTPHv8A4Kf/ALKgDvKK4P8A4Tv/AKkzx7/4Kf8A7Kj/AITv/qTPHv8A4Kf/ALKgDvKK4P8A4Tv/AKkzx7/4Kf8A7Kj/AITv/qTPHv8A4Kf/ALKgDvKK4P8A4Tv/AKkzx7/4Kf8A7Kt7RNe/tv7V/wASbXtI8nb/AMhK08nzN2fu8nOMc+mRQBvV8GHqa+86+DD1NAH1v8Mv+SIaJ/22/wDR8ld5XB/DL/kiGif9tv8A0fJXeUAFIQSpAJUkdR1FLRQB852/7OVjbaQY4/ij8UP7XGralqEesg6Ut1H/AGluN7AoWxEXlSOyvzGXRo0KsoBB3vB/wF8IeB/HGmaloWpeIk0PSZ5rnQ/DMssDadpdxNAtvLPFiITlmjEgxJK6gzykKMjba+MvxD8QfDrwvoOp6No8N7YXF/Imsalc6ffXdvpNsltNMZ5Vs4ZZFTdGqF2ARd2WYVz3h341ajr/AMbNK0+LRdGk8C6z4h1Lw/o2qW2oNJdSXVjbvO8zx7Nggk8i5VSrkjy42583CAHpPxT/AOTY/iN/2LF//wCk0ld5XlnxkvNVtv2d/GcWn6N/adtP4d1Bbuf7WsX2Vfs7DdtIy/BY4H933rX/AOEg8cf9E9/8rsH+FAHcy/8AHu/+6a/mE+Nn/J5PxZ/7HHU//SuWv6PpfEHjj7O//Fvv4T/zHYf8K/m6+MUk8v7W/wAUZbm3+yXD+LdRaWDeH8tjdSZXcODg8Z71+aeJf+60f8T/ACP7d+hF/wAj3Mv+vUf/AEs84ooor8eP9Hz+pH4X/wDJuvgj/sB2v/ola7uvC/hrr3jRP2f/AAYkXgLzol0a2CSf23Cu4eUuDjHFdx/wkHjj/onv/ldg/wAK/qeh/Dj6I/wRzP8A3yr/AIpfmzvKK4P/AISDxx/0T3/yuwf4Uf8ACQeOP+ie/wDldg/wrU4T8lv+Cl3/ACcn4D/7AUn/AKOr82K/Q3/gopfaxfftD+CH1jQ/7DlXRJBHH9sS43jzeuVHH0r88q/nnjH/AJHNf1X5I/2M+jd/ybbK/wDDL/05MK/bP/gmp/yZ54u/7G+b/wBJbWvxMr9jf+CduqeI7L9k7xVFpHhf+27c+K5mab+0o4NrfZrb5drDJ4wc+9ej4f8A/I2X+Fnx/wBL3/k3tT/r7T/Nn6f0Vwf/AAkHjj/onv8A5XYP8KP+Eg8cf9E9/wDK7B/hX7qf5RneV8e/t3f8ozvHn/XWw/8AS63r6G/4SDxx/wBE9/8AK7B/hXyZ+23rHiq6/wCCdPjeDUvB/wDZVm0tj5l1/a0U2zF7AR8qjJycD8a8rPf+RbiP8Ev/AEln3/hR/wAltk3/AGE0P/TsT8IqKKK/mg/29PtD9gf/AJSK6H/2Crv/ANAFfv5X8+H7Dt1qNp+37os2l6X/AGxdjTLoC2+0rDkbRk7m44r90/8AhIPHH/RPf/K7B/hX7l4ef8ip/wCJ/kj/ACw+mP8A8l9H/rxT/wDSpneUVwf/AAkHjj/onv8A5XYP8KP+Eg8cf9E9/wDK7B/hX3R/KR2d7/yCbn/rmf5V/LD405+MXiwnr/bN1/6Oev6YbzxB44/sq5z8Psfuz/zHYfT6V/M34vZ3+LHidpI/KkOrXJdN2dp81sjPevy/xM/hYf1l+h/dv0Hv9/zb/BS/OZztPj/4+I/94Uynx/69P94V+SI/0Olsz+rnSjnw3ZE8nyV/lWhXmeleIPG48O2QHw+yPJXB/t2H0+laH/CQeOP+ie/+V2D/AAr+qz/AQ7yiuD/4SDxx/wBE9/8AK7B/hR/wkHjj/onv/ldg/wAKAO8org/+Eg8cf9E9/wDK7B/hXxV8YPjh4/0b9oTxrpPgDXDB4z8P+CdS1DVvClz4h0+6SOT+zXmso7Wz8sTTXIZDeMFLnygVfCzRAAH6I0V8o/BHx/441y2+IMenQTfEnwlp/iKO30DX5fElncebE2n2cssa3EKBLhVnkm+dc7SzR5/dYHuX/CQeOP8Aonv/AJXYP8KAO8org/8AhIPHH/RPf/K7B/hW9omoa5f/AGr+2fD39g7Nvk/6elx5uc7vuj5cYHXrn2oA3q+DD1NfedfBh6mgD63+GX/JENE/7bf+j5K7yuD+GX/JENE/7bf+j5K7ygAooooA5Dxl4G0Dx74cGkeI219tNKuksGm6/e6ctwjrteOX7NLGZUKkja+RyeKx9G+EvgDw98TpPF2jaHJY6uxkaONNQuDZW7yRxxSSQ2hkNvDI6RIrPHGrEbsn523ej18y6B8UPGeo/tLafZXNxosnhTVPGGs+GotHjsSt3YDT7Z5VvHm3nd5jQPldgAW5gxgqTIAevfFP/k2P4jf9ixf/APpNJXeV5f8AF6bW/wDhRviKw0vS7K/ttR0y4sruea+aF7bzlEKuiCNvMwZCSCyfd688an9q/Ej/AKErwr/4VUv/AMh0AdzL/wAe7/7pr+YT42f8nk/Fn/scdT/9K5a/pAfVPiQ0bL/whfhUZGP+Rql/+Q6/Ljxx/wAE9vir4w+NHi7xavinwXp663rN1qItTJNIYPOmeTZu2DdjdjOBnHQV8Nxzk+LzChSjhoczTd9Uunm0f1P9FjxF4d4RzbHV85xHsY1KcVF8s5Xaldr3Iya07n5cUV+j/wDw7T+K/wD0Ovgr/wAjf/E0D/gmn8Vs8+NfBWPpN/8AE1+bf6k51/z4/wDJo/5n9s/8TP8Ahl/0M/8AylW/+Vn65fC//k3XwR/2A7X/ANErXd15J4Wi+JPhv4caHoDeE/Cl4dOsYrYzjxNKnmbEC7tv2Q4zjOMmt/8AtX4kf9CV4V/8KqX/AOQ6/fqUWoJPsf5E46pGpiak4vRttfed5RXl+l+LPH+rf2j9n8DeHY/sV9JaS+b4nkXc6YyV/wBEOV54Nan9q/Ej/oSvCv8A4VUv/wAh1ocp+S3/AAUu/wCTk/Af/YCk/wDR1fmxX7b/ALTn7K/xQ/aH+JmgeIYbnwd4TGm2DWpgfUZrvzMvu3bhCmPTGDXzP/w7T+K//Q6+Cv8AyN/8TX41xLwrmmKzOrWo0rxbVnePZd2f6V+CPj5wHkPBGAy7Mcf7OtTjJSj7Oq7XnJrWMGno1s2fnBX7Z/8ABNT/AJM88Xf9jfN/6S2tfNf/AA7T+K//AEOvgr/yN/8AE19wfsy/Bb4m/s8/BvV/Cc1p4R8Wtfaw+ofak1mW0Cbooo9m0275/wBVnOR16cV2cH8NZlgsxVWvS5Y2avdP8mz5v6R/jbwVxPwbPL8qxvtazqQly8lSOibu7yhFfifZtFcH/avxI/6Erwr/AOFVL/8AIdZf/CWeP/8AhNf7C/4Qbw79r+w/a9//AAk8nl7N+zGfsn3s9sdK/WT/AD4PUK+Pf27v+UZ3jz/rrYf+l1vX0N/avxI/6Erwr/4VUv8A8h1438e/h78S/jX+zFr/AMO4tH8JeHH1J7dhftr0tyI/Knjm+59mTOfLx94Yzn2rz82oTrYGtTgrylGSXq00j6/w+zTC5bxTlmNxUuWlSr0pydm7RjUjKTsk27JN2Sb7I/nTor9H/wDh2n8V/wDodfBX/kb/AOJo/wCHafxX/wCh18Ff+Rv/AImvw3/UnOv+fH/k0f8AM/1R/wCJn/DL/oZ/+Uq3/wArPMP2B/8AlIrof/YKu/8A0AV+/lfl7+z/APsYfFL4IftH2Pj6XVvBviRLe0mg+wpeTWxbzABnf5T4xjpiv0G/tX4kf9CV4V/8KqX/AOQ6/VuDMtxOBy90sRHllzN2unpp2ufwD9JbjbJeKuL44/KK/taXsoR5uWUdU5XVpqL6rpY7yivL9a8WeP8AQvDVzqt34G8Oy28G3esHieRnO5gowDaDuRWp/avxI/6Erwr/AOFVL/8AIdfWH8+nZ3v/ACCbn/rmf5V/LD4z/wCSw+LP+wzdf+jnr+mafUfiRNZyxf8ACGeFV3qRn/hKZeP/ACTr8ptb/wCCcfxW1fxlq+rDxf4KgF7ey3AiLTNs3uW252DOM4zivguOsmxmYU6Kw0Oblbvqlvbu0f1n9FXxK4b4QxmY1M6xPsVVjTUfdnK7i5X+CMrWut7H5m0+P/j4T/eFfo5/w7T+K/8A0Ovgr/yN/wDE0q/8E1Pissqt/wAJp4K4Of8Alt/8TX51/qTnX/Pj/wAmj/mf2ZL6T/hlb/kZ/wDlKt/8rP2c0n/kWrH/AK4r/KtCvOrS++JFrpkFufBvhV/LQLu/4SmUZwP+vOrP9q/Ej/oSvCv/AIVUv/yHX9BH+QB3lFeX6L4s8f674attVtPA3h2K3n3bFn8TyK42sVOQLQ9wa1P7V+JH/QleFf8Awqpf/kOgDK8bfGv4UfDfxTb6J468d6D4Y1ae1F1Da3sxV3iLMgcAA8FkYfga47/hqz9nT/or3g//AMCW/wDia+Wf2lf2R/in+0F8eNP8aRah4O8LLa6NHpws3v5rotslmk37xCmM+bjGO3Xmvnr/AIdp/Ff/AKHXwV/5G/8Aia+Px+YcQQxE40MNGUE9G2tV/wCBI/o7hPhDwgxWUYetm2eVaOJlG84Rpyai+yapST+9n6VD9qz9nMDA+Lvg4D2uT/8AE1614P8AG3hTx/4Mj8ReDNesPEeiPK0SXlm+6Mupwy59Qa/Hv/h2n8V/+h18Ff8Akb/4mvvf9nT4V/E74Dfs+R+BZ9P8JeKSl9Nci8TXJbUfvCDt2G2fpjrmunJ8bnVWvy4zDqELbpp6/wDgTPE8RuGfDPAZUqvDmbVMTiOZJwlCUVy2d3d04K6duvXY+tqK4P8AtX4kf9CV4V/8KqX/AOQ6s6J4i1u68bXOg+INAstHu1sVvLeSy1JruORN5RgxaKMqwO3AAOQTyMc/Tn4YdnXwYepr7zr4MPU0AfW/wy/5Ihon/bb/ANHyV3lcH8Mv+SIaJ/22/wDR8ld5QAUUUUAFc1a+DPCFj8R7/wAY2XhXw5aeLr6Lyr3W4dNiS+uUwg2yThd7DEcYwSeI0/ujHS0UAFRzTRW9pLcXEscEESF5JJGCqigZJJPAAHepKz9Wtje+FdTsxZWOpGe0kiFpeuVguNykeXIQrYRs4J2twTwelAGX4V8YeGfG/hg614T1qy13SvN8v7TasShbarjBPUFXRgehVlIJBBrpK+Dr/wDZ5+LmoeBjo08nhC+0GC01Ww8N+GtX8Y397H4YFzbaclpewXzWYmuJ7SW2vWiDorxpebUnXYBV7xP+yv4h1218W3p1PQrvxNqOl+J47XVbq/uUk+2XgtzpE77UIX7M8cso2g+RJIXiBZmagD7jrI1jXdJ0C2sZtXvEso7y/gsLZmVm8yeZxHFHwDgsxAyePUivkS9/Z4+IFx8TPih4lHiSGTXNR+23nhfVH1sRxm5+2219p0N5bpYCUxW0lrFEGN1MFjV9kY850XI8P/sv+PH0U6R8QPE2heM9It9X0a6tIbq9uZfMjW9Op615oZMHz7uV1jj5TyYYlYqCyAA+6CQFJJAAGST2qtZX1lqejWmpabeWuoaddwJPa3VtKskU8bqGV0dSQysCCCDgg5r4stf2ePiP/wALR+G7ajceA7nwl4bRrWV1uGa7ksGfU0exYSWbPLB5F1aIIxPFH+7cOkm1Gr6I+B3gm++G37IXw78A6ppnhzSdS8P6HBp93FoMrSWckkS7WnQtFEcykGVgUBDSMCWxuIB6rXLw+NvCdz8ULvwXb6/p0/im1iEl1p0cm6SEFFcK+OFfY6PsJ3bHVsbSDXUV8m/Ej4P/ABL8SfFjxpqPgW80PwRpOvae6azInii8dfE0i20MUK3FoLYJZSYiELXcErymBEUq/wAqxAH1lRXwvrP7MPi3xDoeqrJ/wiPhuA6X4gPhvQNM1i7+xeGL68/sX7C9pIsEZURvp95cGRY0aGS8ZY1IJarHiP8AZm8YXfjKwh0XV7Cy8CWWsalPpeiafrIsDpKXMljLDcWzSWFyI543gusCMRsvnnZKA8ikA+4KyNA13SfFPgbRvEug3iajoeq2UV7p90isonhlQPG4DAEAqwOCAeelfIOm/s8/FK2/aatNcufG+mv8PYvEEivpUd/c+c2kRah/bVgAhTYLiK+aS1Zd21rMJl2b93WPpf7MfjTwz8GtN8K6JB8PLyzn8LeG9P8AENheXDNDeXtiupC9uozPZ3EQkc3FiElkt5CY7cpsjKQsoB9xwX9jc6he2lteWtxdWbql3DHKrPAzKHUOoOVJVgwBxkEHoatV80/Af4O+Ifhh4i1e/wDEtt4R1XWdV8OaJBqfiOznd9Qu72006C0uVlLwqzxM8BmWRpNzGQ7o1IyfpagDj/EnxB8EeD9c0vTPE/ijRtD1HUcmytru5CSSqGVWfHURhnRS5woLqCQSK7CvFtY8LePNK/avv/iD4QsfCOvWGt+GdP0PU7XWdXnsJdPFldX06TwGO2nE3mC/kDxt5fMEWH5O3wfR/wBmzxw4sLTxDL4PWxjm0tPET2urXUzeMjbah9ouL+/RoEC3EsWUMWZVYTPG0nlogIB9w1kQ67pNx481LwzDeI+u2FhbX95aBG3RQXMlxHDITjBDNa3AwDkeWcgZGfhTVf2d/Gvg/wCHekWWhaTofilLu70G11jSBqt2sGo/ZtYnldrqTynb7OtnLHAWKviOMRlDGiitS4/Zp+JcnhQQDXfDbRtZ6RDc6Imos1tNBa3/AIguW00yXFlOjWsCatZLC0lu/mfYgGjiyrAA+5IL+xudQvbS2vLW4urN1S7hjlVngZlDqHUHKkqwYA4yCD0NUrXXdJvfGOraBa3iS6xpkME19bBWBhSff5RJIwd3lv0J+7zjiviiT9l/xdY+EvEWm6GPDCTap/wj015qF5q6z6hqqWFvDb3NheTyaa6TRN5KyiV4WErDa8CAlqq+KPgL8SvD/guxuPCGs3sfiOWPRfD1rPFqUt9cW1pLHe6fqEk0wt4VZLaG+W7iby1BexiUquQCAffFY+v+IND8LeErzX/Emrafoei2iqbi9vZ1iij3MEUFjxlmZVA6lmAGSQKvWNla6botnp1lEILO1gSGCIEkIiKFVeeeAAK85+LHhDXPF/gTRP8AhGX0hte0PxJYa3ZWmqzPFZ3rWswcwSyIjtGGXdtkCPscI2xtuCAdv4f8Q6J4q8J2uu+HdStdX0i4LiG5t2ypZHaN1PcMrqyspwVZSCAQRWzXyhr/AMK/ij4v+O+i+MtYsvAulXK3GiSrdW3iK7uLnw4lhqUtzdw2WbOMTC+tykErEwcMyuJkjRTyfhL9l7XPDI8J6lHdeHk8SaVpXg5Zb+PULpmN/YX80mu3Klk5a7s3itw5AaRI1jfYirQB9iarruk6JNpMeq3iWj6nfpYWIZGPnTurssYwDgkIxycDjrV24v7G0vbG2ury1tri9mMNnFLMqvcSCN5CkYJyzBI3fAydqMegNfBHwe+AnxMXwN8Odd1e20LwJc2+m6BNqFkmpXNzeXVzbW9+J766SWBAl6ftkEZjy/EJUylUjUafgP8AZf8AFXhvUPhZq/iG08KeKNd8M+K7TUdRk1LWVuI5lTTLyznvrcJpkRjvGmmt7hvMMjytboXnDIrkA+19S13SdH1bQbHUrxLW71q/NhpkbKxNxOIJrgxjAIB8q3mfJwPkIzkgHXr4Q8GfsreLbTwvoej+NdfTVALyNfEl7Fr286qg0XWdOmvY44rC3MV7M+pRPI8kk0jLGA0zGFDJ75+zzo3jWw/Zys9b+Jcs0vxD8SXH9q695kTw7H8qO3gURNzCRbW9vvjPIkMmeSaAPc6KKKAOctfF/hi+bSltNd025Op3lzZ6eI5gftM9sZBPGnq0Zhl3Dtsb0ro6+Mdb+BPxP1f4f6v4OivPBum6Zp6eLrjw1rEOrXP2q6udZW+W2WeEW4FssIv33yRyyljErKo3FV0Lr4BeKNL+JFnfeEYvCcWi2fj+DXNLtL/UHktrC0NlpMN1m0ktZA9y81pezJLHLDIkkofzT59wpAPr6iviPQP2eviPfL4Z0f4hXHg3UvC2jaX4Z0ea1h1q7uv7Yt9JGrieaeN7eNVa4F7a5gJkUiN1d2GM+j/B74PeKvAfx08beKfEmrnVW1W4vvKu4dWRhexTX73MBntlsYmEkMTCFGe5n2JuRNqEBQD6VooooAK+DD1NfedfBh6mgD63+GX/ACRDRP8Att/6PkrvK4P4Zf8AJENE/wC23/o+Su8oAKKKKACiiigAooooA818ffEGXwP4l8FWsmi/aNK1vVEsrzWbmaWKz00vJFHGJHjhlxJI0u2MSeXEzKVMqM0av4Q/7SvifWvHWmeHvBXgzwvqN7PrunQrc32t3cNje6dfw6m0FxBObIbmL6bIC0aSwkMuyWTJ2fUOteEvCviTVdHv/EPhrQddvdJuBcaXcahp8U8llKGVhJEzqTG26NGyuDlFPVRjnbb4SfCqzsL21tPhp4Atba8uoLq7ih8P2yLPNBI0kMrgJ8zxu7sjHlSzEYyaAPmPXf2kfGkf7KninVdM8O2Gl+K4fhpfeIdG1HWLySOG9u4I5WkW3C2rQziAJuZS6SHC5iVH80all+0T4o8M603grWvBXiPx340sr+7i1CPR1kvnFtZrpySSRvbWKLLM5vlcB4raLIkBdP3Yb6QHwv8Ahot3dTr8PPA4mudNfTblxoVvma0kG17dvk+aJhgMh+UgAEGrGqfDr4f63qEN3rPgbwhq11FevexTXmjwSulw4RXmDMpIkYRRAt1IjTJ+UYAPIPBvxe8R+Nv2s9H0WHR4NG8CXOgeI5rR2vEnuL+bTdWsNPEsiBA1vgtckJuYMsqFiHVkT6RrlNK8B+B9C8caj4n0Twb4V0fxJqBl+3atY6TDDd3XmuskvmSqod97qrtkncygnJGa6ugAr4z8Q/tC+KF+NUEdho66T4GWy8QW8M4uop7q/u9M8RaPo0kjRMg8hVe4uwoDuHR1ZtjAKPsyuHHwx+Gy+L9U8QL8PvBA17U8/wBo6kNDt/tN3mSOU+bJs3PmSGF/mJ+aND1UEAHkX/DQV3Hj+0PBR0byfFn9jat/aF7cxf2LAf8AVXF5i0Pled/yyYbrV8j/AEoZFctqP7SniS+8YXnh/wAFeDvDWp6hbeIdGtY7u+1q7isL6x1G7vrVZYp/sYzKsli4PliaEBwVlkKsg99T4S/CyLyvL+G3gKPytR/tGPboFsNl18v78fJxL8ifP1+ReeBhE+EnwqitNat4vhp4Ajg1e4iuNWjXw/bBb6WKZp4pJhs/eMkrvIpbJV2ZhgkmgD5o179pPxjp37Ovi3UoPDGnWHiS08F65q2l6hqt7Ktpd31i+oBrW3ZLXy5zElkZGVnilZCreXt3uk8X7Q/i/wAE6nq3gnxF4N8R/EPx7pl9drPa6IJL95rWy03RbmZontLBBJPIdXg2rJBbxb2dTKiqhb6Yk+F/w0l1G5u5fh74IluriynsriV9Dty0tvPvM8LHZ80cnmSb1PDb2yDk1Y1j4dfD/wARXLza/wCBvCGtzPffbnkv9HgnZrnyY4POJZCTJ5UUUe7rsjRc4UAAHkHhb4veI/F/7ZekeG7bR4NK8BS6R4sSGd7xJbi/u9G1jTdMeR49gMCrJJdhQHcOjqzbGAUfSNcpp3gPwPo/xE1HxfpPg3wrpfiy/R0vtatNJhivblXZGcSTKodwzRxkgk5KKTyBXV0AfN3x5+L3iPwLpGq6N4M0eC71y20D+17zUbm8SJLCA3UdsjRxujC4kLMxKEoAqE7ixRGo2Px91VNXvdOPgzVNYYS+I00ubzGik1q60zUNWgGmWQWExSXPl6bv2SSxuY5FdRLsmKe6eI/Afgfxjf6dd+LvBvhXxTdaeHFjNq+kw3b2ocqX8syKSm4ohOMZKL6CqNz8MPhreaxLqN38PvBNzfyQ3MMlzLodu0jx3LzPcqWKZIla4uGcfxmeUnO9sgHjX/DR8L6v4FsrTQtH1afXpYrW8Ww1O9dtKuZru6soUmD2CGJPtFrLE/2jyJFeOVVikaJ1HBeFv2mPHs3wp07xX4s8C6JG914E8OeI500nVribT7GDUkv3lu7l1s2nt40NptZQk6x7kZpAgkkX6dt/hT8L7XVtFv7b4ceBLe+0dVXSbmPQbZZbELK8yiFgmY8SSSSDaRhpHbqxJgk+EHwnl8PvpMvwx+H0mlsVLWbeHrUwtteZ1ymzGA1zcEDHBnl/vtkA+X5/2hfG3hD4w/EbVfGFpDqnge01XU7fQLHRbtLl3Szt7Dyk2C0SQNM12HZ/OlwW2qoVMts+NP2jvGkfwi1X+wvh9qHhrxZZ6bNfai+sSyWqWcCXsdpHPbR3VtHJdLIWLgSRwkIpz8xRG+pbrwT4MvkvFvfCPhi8W7WdbtZ9LhcTi4RY5w+V+YSIiI+fvKqg5AFYU3wi+FFzpek2Nz8Mvh/cWWlmQ6ZBL4etXSzMrK0hiBTCF2RWbbjcVUnJAoA9EooooA8w8a/EY+DPif4K0W80hE0TXJJIrnxBe3EkFnZShokigLrC6edKZDsWV4VbYQrs5CHwzTv2kfGXivxV4R0nwb4E8LT3WoeKzpN2dT129traa3fQ59Vtp7aZrAOwdYSC3klPl+QyLIJE+oNV8IeE9c8UaVreteGfD+r6zpZJ02/vdPimnsyepidlLJn/AGSKwdN+E3ws0fTbOz0j4beAtLtLTU4dTtIbPQLaJILyFCkNygVAFmRCVWQfMqkgEDigD5b1H9o3xvrH7MKT+GdFttE8W6h4Q0LVNG1HWrtreXUEv/7MWe7t0+xy27pA2oCNiGfZMoDwhHjMnTeGP2jNeOu6N4RvfA3iPxX4mTVrm21+XS4prpbGFddvNJSVHgs1jkVDaTSu0otgIoywDMfLr6Es/hd8NNPu5J7D4eeB7KZ7SCzd4NCt0LQQeV5ERwn3I/Ig2L0XyY8AbFxYufh18P7zW9L1K78DeELnUdNvJb3T7qXR4GltbiWf7RLNGxXKSPN+9ZhgtJ85JbmgDyD4U/F7xH8SfjxdLNo8Gh+Cr3wRY694fi+2JcT3EVxd3UaTTAIrQyNHEmYcuq8YctuC/SNcpoHgPwP4U13VNU8L+DfCvhvU9ScvqN3pekw2012xdnJleNQXJd2b5ieWJ6k11dABRRRQAUUUUAFFFFABRRRQAV8GHqa+86+DD1NAH1v8Mv8AkiGif9tv/R8ld5XB/DL/AJIhon/bb/0fJXeUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHhX7THxC8R/Cn9hb4i/EHwiLNvEmj2CS2AurY3Ee9p44+Ywy7+HOBuHOOa+TvB/wC2v40s/Den6L4j+GniX4k+Npte12NrTw14fubfUIdM0u+tbN3uLGEXZhvd9znynkSLYgYyxmSNG/RLWtD0XxJ4Yu9E8RaPpev6LdKFurDUbVLi3mAYMA8bgqwBAPI6gGuK1r4NfCHxHqRvPEPws+HWuXh1VtVM9/4ctZ5DevHFG90WaMkzMkMKGT7xWJAThRgA+c9Z/a7v9M+JOseDYfhbMfF8Xj+DwppWjalrx0+4ulnj1N7bUZDNbCNLSb+zXMckLzhlkPIkRoa5XQ/29NF8RaHofiDTfhnrX/CKXB0qy1O8m1iFbmy1HUrGS8t4I4Ap8+AKgV7gOoG7KowViPoXxf8AsyfAzxq1uusfDXwelufFC+JNVtrbRLVItcvFgu4Qb9TERcri9nbD8723Z5Oe0Hwe+Eg8X6T4gHwu+HY17S9MGl6ZqI8OWv2izsxG0YtopPL3JCEZkEakKFZhjBIoA+SrX9uG7l+DN74tvvg3q2kR2qaJqF28+t+fZ6dpGrWE97BqN5PbW8rQRoLdopP3TLG0kZeRULunsPwo/aP/AOFr/tKeMfBWl/DjxjYeGNGutUs7bxhNZXH9n3Vxpt8tjcQtI0Cwq7yF3iWOaUskUhcRMNh9O1L4LfB7WdIt9P1f4U/DfVLCBbRYba68NWksca2kbxWqhWjIAhjkkjjHRFdlXAYg7Ok/Dn4faD8UNZ8b6H4G8IaP4z1dCmq69Y6PBDf3qkqWEs6qHkBKITuJyUXP3RgA7OiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK+DD1NfedfBh6mgD63+GX/JENE/7bf8Ao+Su8r4l8QWlrZfEHxBbWdtb2lsmqXOyKGMIi5lcnAHA5JP41k4HpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94UV8H4HpRgelAH3hRXwfgelGB6UAfeFFfB+B6UYHpQB94V8GHqafgelfWnhXwr4X/wCFY+HP+Kb0H/kF2/8AzD4v+eS/7NAH/9k=</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.900</li>
<li>0.450</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.900:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.450:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5713-5128 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 22</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: times new roman,times,serif;">The number of responses to a survey are shown in the Pareto chart.  The survey asked 1005 U.S. adults what they feel is the biggest problem with the movies.  Each person gave one response.  Find each probability.</span></p>
<p style="text-align: center;"><span style="font-family: times new roman,times,serif;"> <img src="@@PLUGINFILE@@/Question22.jpg" alt="" width="362" height="291" /></span></p>
<ol>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a person from the sample who feels the biggest  problem with the movies is that movies are not as good as they used to be  {#1}</span></li>
<li><span style="font-family: times new roman,times,serif;">Randomly selecting a person from the sample who feels the biggest problem with the movies is not that movies have too much violence or that the tickets cost too much  {#2}</span></li>
</ol>]]></text>
<file name="Question22.jpg" encoding="base64">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</file>    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.170</li>
<li>0.379</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>4.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.170:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.379:0.0005}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5714-5129 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 23</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: times new roman,times,serif;">The table shows the number of male and female students enrolled in nursing at the University of Oklahoma Health and Sciences Center for a recent semester.  A student is selected at random.  Find the probability of each event.</span></p>
<table border="1" cellspacing="1" cellpadding="1" align="center">
<tbody>
<tr>
<td> </td>
<td><span style="font-family: times new roman,times,serif;"><strong><span style="color: #0000ff;">Nursing majors</span></strong></span></td>
<td><span style="font-family: times new roman,times,serif;"><strong><span style="color: #0000ff;">Non-nursing majors</span></strong></span></td>
<td><span style="font-family: times new roman,times,serif;"><strong><span style="color: #0000ff;">Total</span></strong></span></td>
</tr>
<tr>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Males</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">95</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">1015</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">1110</span></td>
</tr>
<tr>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Females</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">700</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">1727</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">2427</span></td>
</tr>
<tr>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Total</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">795</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">2742</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">3537</span></td>
</tr>
</tbody>
</table>
<p> </p>
<ol>
<li><span style="font-family: times new roman,times,serif;">The student is male or a nursing major.  {#1}</span></li>
<li><span style="font-family: times new roman,times,serif;">The student is female or not a nursing major.  {#2}</span></li>
<li><span style="font-family: times new roman,times,serif;">The student is not female or a nursing major.  {#3}</span></li>
<li><span style="font-family: times new roman,times,serif;">Are the events "being male" and "being a nursing major" mutually exclusive?  {#4}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.512</li>
<li>0.973</li>
<li>0.512</li>
<li>Not mutually exclusive.  A male can be a nursing major.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>7.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.512:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.973:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.512:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=No~Yes#A male can be a nursing major.}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5715-5130 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 24</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-family: times new roman,times,serif;">In a sample of 1000 people (525 men and 475 women) 113 are left-handed (63 men and 50 women).  The results of the sample are shown in the table.  A person is selected at random from the sample.  Find the probability of each event.</span></p>
<table border="1" cellspacing="1" cellpadding="2" align="center">
<tbody>
<tr>
<td> </td>
<td> </td>
<td style="text-align: center;" colspan="3"><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Gender</strong></span></td>
</tr>
<tr>
<td> </td>
<td> </td>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Men</strong></span></td>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Women</strong></span></td>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Total</strong></span></td>
</tr>
<tr>
<td rowspan="3">
<p style="text-align: center;"> </p>
<p style="text-align: center;"><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Dominant</strong></span><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Hand</strong></span></p>
</td>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Left</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">63</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">50</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">113</span></td>
</tr>
<tr>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Right</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">462</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">425</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">667</span></td>
</tr>
<tr>
<td><span style="color: #0000ff; font-family: times new roman,times,serif;"><strong>Total</strong></span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">525</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">475</span></td>
<td style="text-align: center;"><span style="font-family: times new roman,times,serif;">1000</span></td>
</tr>
</tbody>
</table>
<p> </p>
<ol>
<li><span style="font-family: times new roman,times,serif;">The person is left-handed or a woman.  {#1}</span></li>
<li><span style="font-family: times new roman,times,serif;">The person is right-handed or a man.  {#2}</span></li>
<li><span style="font-family: times new roman,times,serif;">The person is not right-handed or a man.  {#3}</span></li>
<li><span style="font-family: times new roman,times,serif;">The person is a right-handed woman.  {#4}</span></li>
<li><span style="font-family: times new roman,times,serif;">Are the events "being right-handed" and "being a woman" mutually exclusive?  {#5}</span></li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.538</li>
<li>0.950</li>
<li>0.575</li>
<li>0.425</li>
<li>Not mutually exclusive.  A right-handed person can be a woman.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>10.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.538:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.950:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.575:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.425:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:MC:=No~Yes#A right-handed person can be a woman}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5716-5131 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 25</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>The table shows the results of a survey that asked 2850 people whether they are involved in any type of charity work.  A person is selected at random from the sample.  Find the probability of each event.</p>
<table border="1" cellspacing="1" cellpadding="2" align="center">
<tbody>
<tr>
<td> </td>
<td><span style="color: #0000ff;"><strong>Frequently</strong></span></td>
<td><span style="color: #0000ff;"><strong>Occasionaly</strong></span></td>
<td><span style="color: #0000ff;"><strong>Not at all</strong></span></td>
<td><span style="color: #0000ff;"><strong>Total</strong></span></td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Male</strong></span></td>
<td style="text-align: center;">221</td>
<td style="text-align: center;">456</td>
<td style="text-align: center;">795</td>
<td style="text-align: center;">1472</td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Female</strong></span></td>
<td style="text-align: center;">207</td>
<td style="text-align: center;">430</td>
<td style="text-align: center;">741</td>
<td style="text-align: center;">1378</td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Total</strong></span></td>
<td style="text-align: center;">428</td>
<td style="text-align: center;">886</td>
<td style="text-align: center;">1536</td>
<td style="text-align: center;">2850</td>
</tr>
</tbody>
</table>
<p> </p>
<ol>
<li>The person is frequently or occationaly involved in charity work.  {#1}</li>
<li>The person is female or not involved in charity work.  {#2}</li>
<li>The person is male or frequently involved in charity work.  {#3}</li>
<li>The person is female or not frequently involved in charity work.  {#4}</li>
<li>Are the events "being female" and "being frequently involved in charity work" mutually exclusive?  {#5}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.461</li>
<li>0.762</li>
<li>0.589</li>
<li>0.922</li>
<li>Not mutually exclusive.  A female can be frequently involved in charity work.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>9.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.461:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.762:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.589:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.922:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=No~Yes#A female can be frequently involved in charity work.}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 5717-5132 -->
 <question type="multianswerwiris">
    <name>
      <text>Question 26</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>The table shows the results of a survey that asked 3203 people whether they wear contavts or glasses.  A person is selected at random from the sample.  Find the probability of each event.</p>
<table border="1" cellspacing="1" cellpadding="2" align="center">
<tbody>
<tr>
<td> </td>
<td><span style="color: #0000ff;"><strong>Contacts</strong></span></td>
<td><span style="color: #0000ff;"><strong>Glasses</strong></span></td>
<td><span style="color: #0000ff;"><strong>Both</strong></span></td>
<td><span style="color: #0000ff;"><strong>Neither</strong></span></td>
<td><span style="color: #0000ff;"><strong>Total</strong></span></td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Male</strong></span></td>
<td style="text-align: center;">64</td>
<td style="text-align: center;">841</td>
<td style="text-align: center;">177</td>
<td style="text-align: center;">456</td>
<td style="text-align: center;">1538</td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Female</strong></span></td>
<td style="text-align: center;">189</td>
<td style="text-align: center;">427</td>
<td style="text-align: center;">368</td>
<td style="text-align: center;">681</td>
<td style="text-align: center;">1665</td>
</tr>
<tr>
<td><span style="color: #0000ff;"><strong>Total</strong></span></td>
<td style="text-align: center;">253</td>
<td style="text-align: center;">1268</td>
<td style="text-align: center;">545</td>
<td style="text-align: center;">1137</td>
<td style="text-align: center;">3203</td>
</tr>
</tbody>
</table>
<p> </p>
<ol>
<li>The person wears contacts or glasses.  {#1}</li>
<li>The person is male or wears both contacts and glasses.  {#2}</li>
<li>The person is female or wears neither contacts or glasses.  {#3}</li>
<li>The person is male or does not wear glasses.  {#4}</li>
<li>Are the events "wearing contacts" and "wearing both contacts and glasses" mutually exclusive?  {#5}</li>
</ol>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<ol>
<li>0.475</li>
<li>0.595</li>
<li>0.662</li>
<li>0.752</li>
<li>Mutually exclusive.  In this case, a person who wears both contacts and glasses is different than a person who wears only glasses.</li>
</ol>]]></text>
    </generalfeedback>
    <defaultgrade>9.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <wirissubquestions>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.475:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.595:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.662:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{2:NM:=0.752:0.0005}]]>
        </wirissubquestion>
        <wirissubquestion>
            <![CDATA[{1:MC:=Yes~No#In this case, a person who wears both contacts and glasses is different than a person who wears only glasses.}]]>
        </wirissubquestion>
    </wirissubquestions>
    <wirisquestion>
<![CDATA[<question><correctAnswers><correctAnswer></correctAnswer></correctAnswers><options><option name="precision">4</option><option name="implicit_times_operator">false</option><option name="times_operator">&#183;</option><option name="imaginary_unit">i</option></options><localData><data name="cas">add</data><data name="casSession"></data></localData></question>]]>
    </wirisquestion>
  </question>
 </quiz>
