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  <name>F Distribution and ANOVA: Summary</name>
  <metadata>
  <md:version>1.3</md:version>
  <md:created>2008/06/24 12:35:35 GMT-5</md:created>
  <md:revised>2008/10/27 15:03:42.223 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 summary of F Distribution and ANOVA as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.</md:abstract>
</metadata>
  <content>
    <list id="element-573" type="bulleted"><item>An <emphasis>ANOVA</emphasis> hypothesis test determines if several population means are equal. The
distribution for the test is the F distribution with 2 different degrees of freedom.
<list id="list1.1" type="enumerated"><name>Assumptions:</name><item>Each population from which a sample is taken is assumed to be normal.</item>
<item>Each sample is randomly selected and independent.</item>
<item>The populations are assumed to have equal standard deviations (or variances)</item>
</list></item>
<item>A <emphasis>Test of Two Variances</emphasis> hypothesis test determines if two variances are the same.
The distribution for the hypothesis test is the F distribution with 2 different degrees of
freedom.
<list id="list2" type="enumerated"><name>Assumptions:</name><item>The populations from which the two samples are drawn are normally distributed.</item>
<item>The two populations are independent of each other.</item>
</list></item></list>   
  </content>
  
</document>
