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<document xmlns="http://cnx.rice.edu/cnxml" xmlns:md="http://cnx.rice.edu/mdml/0.4" xmlns:bib="http://bibtexml.sf.net/" xmlns:m="http://www.w3.org/1998/Math/MathML" id="new">
  <name>Hypothesis Testing of Single Mean and Single Proportion: Summary of Formulas</name>
  <metadata>
  <md:version>1.5</md:version>
  <md:created>2008/06/06 17:43:25 GMT-5</md:created>
  <md:revised>2008/07/18 10:34:03.713 GMT-5</md:revised>
  <md:authorlist>
      <md:author id="billowsky">
      <md:firstname>Barbara</md:firstname>
      
      <md:surname>Illowsky</md:surname>
      <md:email>illowskybarbara@deanza.edu</md:email>
    </md:author>
      <md:author id="sdean">
      <md:firstname>Susan</md:firstname>
      
      <md:surname>Dean</md:surname>
      <md:email>deansusan@deanza.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <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/>
</metadata>
  <content>
    <para id="element-999"><emphasis><m:math><m:msub><m:mi>H</m:mi><m:mi>o</m:mi></m:msub></m:math> </emphasis>and <emphasis><m:math><m:msub><m:mi>H</m:mi><m:mi>a</m:mi></m:msub></m:math></emphasis> are contradictory.</para>
<table id="element-377">
<?table-summary This table states the mathematical symbols associated with either null or alternate hypothesis. The first row is for the null hypothesis and the second row is for the alternate hypothesis. There are three columns of mathematical symbols for each.?>
<tgroup cols="4"><tbody>
  <row>
        <entry><emphasis>If <m:math><m:msub><m:mi>H</m:mi><m:mi>o</m:mi></m:msub></m:math> has:</emphasis></entry>
    <entry>equal <m:math><m:mi>(=)</m:mi></m:math></entry>
    <entry>greater than or equal to
<m:math><m:mo>(</m:mo><m:mo>≥</m:mo><m:mo>)</m:mo></m:math></entry>
    <entry>less than or equal to <m:math><m:mo>(</m:mo><m:mo>≤</m:mo><m:mo>)</m:mo></m:math></entry>
  </row>
  <row>
    <entry><emphasis>then <m:math><m:msub><m:mi>H</m:mi><m:mi>a</m:mi></m:msub></m:math> has:</emphasis></entry>
    
<entry>not equal <m:math><m:mi>(≠)</m:mi></m:math>
<emphasis>or</emphasis>
greater than
<m:math><m:mo>(</m:mo><m:mo>&gt;</m:mo><m:mo>)</m:mo></m:math> <emphasis>or</emphasis>
less than <m:math><m:mo>(</m:mo><m:mo>&lt;</m:mo><m:mo>)</m:mo></m:math></entry>
    <entry>less than <m:math><m:mo>(</m:mo><m:mo>&lt;</m:mo><m:mo>)</m:mo></m:math></entry>
    <entry>greater than <m:math><m:mo>(</m:mo><m:mo>&gt;</m:mo><m:mo>)</m:mo></m:math></entry>
  </row>
</tbody>







</tgroup>
</table><para id="element-987">If <m:math>
<m:mi>α</m:mi> 
<m:mo>≤</m:mo>
</m:math> p-value, then do not reject <emphasis><m:math>
<m:msub>
<m:mi>H</m:mi>
<m:mi>o</m:mi></m:msub>
</m:math></emphasis>.</para><para id="element-43">If <m:math>
<m:mi>α</m:mi>
<m:mo>&gt;</m:mo>
</m:math> p-value, then reject <emphasis>
<m:math>
<m:msub>
<m:mi>H</m:mi>
<m:mi>o</m:mi>
</m:msub>
</m:math> 
</emphasis>.</para><para id="element-305"><m:math><m:mi>α</m:mi></m:math> is preconceived. Its value is set before
the hypothesis test starts.
The p-value is calculated from the data.</para><para id="element-965"><m:math><m:mi>α</m:mi></m:math> = probability of a Type I error = P(Type I error)
= probability of rejecting the null hypothesis when the null hypothesis is true.</para><para id="element-704"><m:math><m:mi>β</m:mi></m:math> = probability of a Type II error = P(Type II error) = probability of rejecting the null hypothesis when the null hypothesis is true.</para><para id="element-678">If there is no given preconceived <m:math><m:mi>α</m:mi></m:math>, then use <m:math><m:mi>α</m:mi><m:mo>=</m:mo><m:mn>0.05</m:mn></m:math>.</para><list id="element-254" type="bulleted"><name>Types of Hypothesis Tests</name><item>Single population mean, <emphasis>known</emphasis> population variance (or standard deviation): <emphasis>Normal
test</emphasis>.</item>
<item>Single population mean, <emphasis>unknown</emphasis> population variance (or standard deviation):
<emphasis>Student-t test</emphasis>.</item>
<item>Single population proportion: <emphasis>Normal test</emphasis>.</item></list>   
  </content>
  
</document>
