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    <title>topic Re: ANOVA and proportions in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325350#M57461</link>
    <description>&lt;P&gt;The contingency table analysis accounts for the difference in the counts. Set up X column with the group and Y column with the incident, no incident values.&lt;/P&gt;</description>
    <pubDate>Thu, 22 Oct 2020 16:55:19 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2020-10-22T16:55:19Z</dc:date>
    <item>
      <title>ANOVA and proportions</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325322#M57457</link>
      <description>&lt;P&gt;Experts:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I need some assistance with performing an ANOVA given a) unequal sample sizes and b) unequal proportions.&amp;nbsp;&amp;nbsp; Allow me to summarize the problem based on some sample/illustrative data:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Let’s say I have 3 groups (and # of reported incidents in that group):&lt;BR /&gt;- Group Alpha reported 150 incidents&lt;BR /&gt;- Group Bravo reported 30 incidents&lt;BR /&gt;- Group Charlie reported 50 incidents&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So, while the Alpha group reported 3 times as many incidents than the Charlie group, the Alpha group is 12 times larger than the Charlie group.&amp;nbsp; So, shouldn't the # of incidents be a function of # of people within the group?&lt;/P&gt;&lt;P&gt;In other words, proportionally speaking, the proportions are:&amp;nbsp; 5%, 7.5%, and 20%, respectively .&amp;nbsp;&amp;nbsp; That is, ...&lt;BR /&gt;- Alpha has 3,000 people… so only 5.00% (150/3,000) out of the Alpha group report(ed) incidents&lt;BR /&gt;- Bravo has 400 people… so, 7.50% (30/400) out of the Bravo group report(ed) incidents&lt;BR /&gt;- Charlie has 250 people… so, 20.00% (50/250) out of the Charlie group report(ed) incidents&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Given the proportions (e.g., Charlie group had 50 incidents *less* than the Alpha group), the Charlie group is essentially the “worst offender” given they only have a fraction of people in that group.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;All that said, how would you take the proportions into consideration when performing the ANOVA? What are the steps in JMP prior (or after) executing the ANOVA?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;BR /&gt;EEH&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:23:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325322#M57457</guid>
      <dc:creator>EEH</dc:creator>
      <dc:date>2023-06-09T00:23:24Z</dc:date>
    </item>
    <item>
      <title>Re: ANOVA and proportions</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325350#M57461</link>
      <description>&lt;P&gt;The contingency table analysis accounts for the difference in the counts. Set up X column with the group and Y column with the incident, no incident values.&lt;/P&gt;</description>
      <pubDate>Thu, 22 Oct 2020 16:55:19 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325350#M57461</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2020-10-22T16:55:19Z</dc:date>
    </item>
    <item>
      <title>Re: ANOVA and proportions</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325416#M57465</link>
      <description>Mark - thank you for the reply... I truly appreciate it.&lt;BR /&gt;&lt;BR /&gt;Unfortunately, I'm not familiar with using the contingency tables (or concept thereof). How do I use it based on my having 3 numeric columns for Alpha, Bravo, Charlie w/ row values/observations = 150, 30, 50, respectively?&lt;BR /&gt;&lt;BR /&gt;Any additional info would be greatly appreciated. :)&lt;/img&gt;&lt;BR /&gt;&lt;BR /&gt;Cheers,&lt;BR /&gt;EEH</description>
      <pubDate>Thu, 22 Oct 2020 17:58:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325416#M57465</guid>
      <dc:creator>EEH</dc:creator>
      <dc:date>2020-10-22T17:58:22Z</dc:date>
    </item>
    <item>
      <title>Re: ANOVA and proportions</title>
      <link>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325444#M57469</link>
      <description>&lt;P&gt;Per&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/5358"&gt;@Mark_Bailey&lt;/a&gt;&amp;nbsp;'s advice, I suggest taking a look at the JMP online documentation for Contingency Table analysis within the Fit Y by X platform. There are examples for you to follow.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/15.2/#page/jmp/contingency-analysis.shtml" target="_self"&gt;Contingency Tables in Fit Y by X Platform&lt;/A&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 22 Oct 2020 18:58:12 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/ANOVA-and-proportions/m-p/325444#M57469</guid>
      <dc:creator>P_Bartell</dc:creator>
      <dc:date>2020-10-22T18:58:12Z</dc:date>
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