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    <title>topic Graph builder - confidence intervals for categorical variable in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Graph-builder-confidence-intervals-for-categorical-variable/m-p/672107#M85994</link>
    <description>&lt;P&gt;When applying the Line Of Fit option in graph builder with a categorical variable on the x-axis you can calculate confidence intervals for each of the group means. If you choose &lt;EM&gt;unequal variance&lt;/EM&gt; the confidence intervals are based on the individual group variances but how is the degrees of freedom for the t-distribution calculated? It appears to be based not on the individual sample sizes but the overall sample size. I wonder what is the theoretical rationale behind the calculation.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 29 Aug 2023 09:46:18 GMT</pubDate>
    <dc:creator>StefanC</dc:creator>
    <dc:date>2023-08-29T09:46:18Z</dc:date>
    <item>
      <title>Graph builder - confidence intervals for categorical variable</title>
      <link>https://community.jmp.com/t5/Discussions/Graph-builder-confidence-intervals-for-categorical-variable/m-p/672107#M85994</link>
      <description>&lt;P&gt;When applying the Line Of Fit option in graph builder with a categorical variable on the x-axis you can calculate confidence intervals for each of the group means. If you choose &lt;EM&gt;unequal variance&lt;/EM&gt; the confidence intervals are based on the individual group variances but how is the degrees of freedom for the t-distribution calculated? It appears to be based not on the individual sample sizes but the overall sample size. I wonder what is the theoretical rationale behind the calculation.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 29 Aug 2023 09:46:18 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Graph-builder-confidence-intervals-for-categorical-variable/m-p/672107#M85994</guid>
      <dc:creator>StefanC</dc:creator>
      <dc:date>2023-08-29T09:46:18Z</dc:date>
    </item>
    <item>
      <title>Re: Graph builder - confidence intervals for categorical variable</title>
      <link>https://community.jmp.com/t5/Discussions/Graph-builder-confidence-intervals-for-categorical-variable/m-p/684134#M86982</link>
      <description>&lt;P&gt;I will answer my own question:) It turns out that the confidence intervals given by JMP are too narrow. "Correct" confidence intervals can be calculated for example in SAS with the proc mixed procedure allowing a heterogeneous variance structure and specifying the degrees of freedom method as ddfm=KenwardRoger.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 05 Oct 2023 11:30:31 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Graph-builder-confidence-intervals-for-categorical-variable/m-p/684134#M86982</guid>
      <dc:creator>StefanC</dc:creator>
      <dc:date>2023-10-05T11:30:31Z</dc:date>
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