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<document xmlns="http://cnx.rice.edu/cnxml" xmlns:md="http://cnx.rice.edu/mdml/0.4" xmlns:m="http://www.w3.org/1998/Math/MathML" xmlns:bib="http://bibtexml.sf.net/" id="id8795905">
  <name>The Chi-Square Distribution: Lab II</name>
  <metadata>
  <md:version>1.7</md:version>
  <md:created>2008/06/19 13:50:00 GMT-5</md:created>
  <md:revised>2008/10/27 20:50:13.445 GMT-5</md:revised>
  <md:authorlist>
      <md:author id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:author>
      <md:author id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <md:maintainer id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:maintainer>
    <md:maintainer id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:maintainer>
    <md:maintainer id="cnxorg">
      <md:firstname/>
      
      <md:surname>Connexions</md:surname>
      <md:email>cnx@cnx.org</md:email>
    </md:maintainer>
  </md:maintainerlist>
  
  <md:keywordlist>
    <md:keyword>elementary</md:keyword>
    <md:keyword>statistics</md:keyword>
  </md:keywordlist>

  <md:abstract>This module provides a lab on Chi-Square Distribution as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.</md:abstract>
</metadata>
  <content>
    <para id="id8363924">Class Time: </para>
    <para id="id7668722">Names:</para>
    <section id="id-266643074289">
      <name>Student Learning Outcome: </name>
      <list type="bulleted" id="id3831121">
        <item>The student will evaluate if there is a significant relationship between favorite type of snack and gender. </item>
      </list>
    </section>
    <section id="element-304"><name>Collect the Data</name><list id="list-8652384" type="enumerated">

	<item>Using your class as a sample, complete the following chart. 
<table id="id89871qw3984l8">
<?table-summary This table presents the favorite type of snack in columns 2-5 and the total in the sixth column. The first row is male, the second row is female, and the third row is total.?>
<name>Favorite type of snack</name>
<tgroup cols="6"><colspec colnum="1" colname="c1"/>
	<colspec colnum="2" colname="c2"/>
	<colspec colnum="3" colname="c3"/>
	<colspec colnum="4" colname="c4"/>
	<colspec colnum="5" colname="c5"/>
	<colspec colnum="6" colname="c6"/>
	<thead>
		<row>
			<entry/>
			<entry>sweets (candy &amp; baked goods)</entry>
			<entry>ice cream</entry>
			<entry>chips &amp; pretzels</entry>
			<entry>fruits &amp; vegetables</entry>
			<entry>Total</entry>
		</row>
	</thead>
	<tbody>
		<row>
			<entry>male</entry>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
		</row>
		<row>
			<entry>female</entry>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
		</row>
		<row>
			<entry>Total</entry>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
			<entry/>
		</row>
	</tbody>

</tgroup>
</table></item>
	<item>Looking at the above chart, does it appear to you that there is dependence between gender and favorite type of snack food? Why or why not?</item>
</list>
</section><section id="element-528"><name>Determine the Classification</name><para id="element-52">
Conduct a hypothesis test to determine if the factors are independent
</para>
<list id="list-76474" type="enumerated">
	<item> <m:math><m:semantics><m:mrow><m:mstyle fontsize="12pt"><m:mrow><m:msub><m:mi>H</m:mi><m:mstyle fontsize="8pt"><m:mrow><m:mi>o</m:mi></m:mrow></m:mstyle></m:msub></m:mrow></m:mstyle><m:mrow/></m:mrow><m:annotation encoding="StarMath 5.0"> size 12{H rSub { size 8{o} } } {}</m:annotation></m:semantics></m:math>:
</item>
<item>
<m:math><m:semantics><m:mrow><m:mstyle fontsize="12pt"><m:mrow><m:msub><m:mi>H</m:mi><m:mstyle fontsize="8pt"><m:mrow><m:mi>a</m:mi></m:mrow></m:mstyle></m:msub></m:mrow></m:mstyle><m:mrow/></m:mrow><m:annotation encoding="StarMath 5.0"> size 12{H rSub { size 8{a} } } {}</m:annotation></m:semantics></m:math>:</item>
	<item>What distribution should you use for a hypothesis test? </item>
	<item>Why did you choose this distribution? </item>
	<item>Calculate the test statistic.</item>
	<item>Find the 
p-value.</item>
	<item>Sketch a graph of the situation. Label and scale the x-axis. Shade the area corresponding to the 
p-value. <figure><media type="image/png" src="graph12.PNG">
				<param name="alt" value="Blank graph with vertical and horizontal axes."/>
				
				<param name="print-width" value="4in"/>
			</media></figure>
	</item>
	<item>State your decision. </item>
	<item>State your conclusion in a complete sentence. </item>
</list></section><section id="element-523"><name>Discussion Questions</name><list id="list-87578324" type="enumerated">
<item> Is the conclusion of your study the same as or different from your answer to (I2) above?</item>
<item> Why do you think that occurred?</item></list></section>
  </content>
</document>
