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    <title>topic Re: How to test if a treatment yields twice the response of a reference? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-test-if-a-treatment-yields-twice-the-response-of-a/m-p/905109#M106360</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/7067"&gt;@tvkmez11&lt;/a&gt;&amp;nbsp;: Assuming you have a one-way ANOVA with three levels (Control, Exp, and Ref) there are a couple ways to approach this; Ratios or Differences. What you show are differences. And with that approach, you are almost there. From the Custom Test output, you can construct a confidence interval (Value +/- t*Std Error, where t = the (1-alpha)&lt;FONT size="1 2 3 4 5 6 7"&gt;th&lt;/FONT&gt; quantile from a t-tistribution, with df=DFDen ) and if the lower bound is &amp;gt; zero then you've rejected the null (H0) and favor of the alternative (Ha, the thing you want to show/prove):&lt;/P&gt;
&lt;P&gt;H0:&amp;nbsp;experimental - control&amp;nbsp; - 2*(reference - control) &amp;lt;0&lt;/P&gt;
&lt;P&gt;Ha:&amp;nbsp;experimental - control&amp;nbsp; - 2*(reference - control) &amp;gt;=0&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you set alpha=0.05, then you will construct a 90% confidence interval since it is a one-sided test.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 30 Sep 2025 12:10:46 GMT</pubDate>
    <dc:creator>MRB3855</dc:creator>
    <dc:date>2025-09-30T12:10:46Z</dc:date>
    <item>
      <title>How to test if a treatment yields twice the response of a reference?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-test-if-a-treatment-yields-twice-the-response-of-a/m-p/905096#M106358</link>
      <description>&lt;P&gt;I have a dataset with a control treatment, a reference treatment, and an experimental treatment. The question I want to answer is if the experimental treatments gives twice the response of the reference treatment after correcting both for the control. I tried using a 'custom test' with the statement 'experimental - 2 * reference + control = 0' [reworked from 'experimental - control = 2*(reference - control)']. Trick is that this is the hypothesis I need to proof, not reject. Any suggestions?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Sep 2025 11:37:47 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-test-if-a-treatment-yields-twice-the-response-of-a/m-p/905096#M106358</guid>
      <dc:creator>tvkmez11</dc:creator>
      <dc:date>2025-09-30T11:37:47Z</dc:date>
    </item>
    <item>
      <title>Re: How to test if a treatment yields twice the response of a reference?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-test-if-a-treatment-yields-twice-the-response-of-a/m-p/905109#M106360</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/7067"&gt;@tvkmez11&lt;/a&gt;&amp;nbsp;: Assuming you have a one-way ANOVA with three levels (Control, Exp, and Ref) there are a couple ways to approach this; Ratios or Differences. What you show are differences. And with that approach, you are almost there. From the Custom Test output, you can construct a confidence interval (Value +/- t*Std Error, where t = the (1-alpha)&lt;FONT size="1 2 3 4 5 6 7"&gt;th&lt;/FONT&gt; quantile from a t-tistribution, with df=DFDen ) and if the lower bound is &amp;gt; zero then you've rejected the null (H0) and favor of the alternative (Ha, the thing you want to show/prove):&lt;/P&gt;
&lt;P&gt;H0:&amp;nbsp;experimental - control&amp;nbsp; - 2*(reference - control) &amp;lt;0&lt;/P&gt;
&lt;P&gt;Ha:&amp;nbsp;experimental - control&amp;nbsp; - 2*(reference - control) &amp;gt;=0&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you set alpha=0.05, then you will construct a 90% confidence interval since it is a one-sided test.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Sep 2025 12:10:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-test-if-a-treatment-yields-twice-the-response-of-a/m-p/905109#M106360</guid>
      <dc:creator>MRB3855</dc:creator>
      <dc:date>2025-09-30T12:10:46Z</dc:date>
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