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    <title>topic Re: Standard deviation and p-value for difference scores? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Standard-deviation-and-p-value-for-difference-scores/m-p/11983#M11466</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi &lt;A href="https://community.jmp.com/people/syy010" target="_blank"&gt;syy010&lt;/A&gt;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It sounds like you're looking to perform a matched-pairs/dependent-measures t-test. When you have data in dependent pairs (e.g. repeated measurements from the same individual, or across matched individuals) the analysis boils down to a one-sample t-test on the difference scores (*this is a different issue than a "one-tailed test" -- see below). These can be performed in JMP using the Analyze &amp;gt; Matched Pairs platform, or by using Analyze &amp;gt; Distribution after making a difference score column. In the latter case, you are testing whether the mean of the difference score column is different from 0 (which can be done by selecting the Red Triangle in the distribution platform &amp;gt; Test Mean). You will also get the standard deviation of the difference scores by using this second approach.&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is a page with details on these kinds of tests, including a video and a PDF with step-by-step instructions:&lt;/P&gt;&lt;P&gt;&lt;A _jive_internal="true" href="https://community.jmp.com/docs/DOC-6775" title="https://community.jmp.com/docs/DOC-6775" target="_blank"&gt;https://community.jmp.com/docs/DOC-6775&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can find a complete listing of these JMP guides here: &lt;A href="https://community.jmp.com/docs/DOC-6754" target="_blank"&gt;Collection:  All One-Page Guides&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I hope this helps!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.jmp.com/people/julian" target="_blank"&gt;julian&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*A "one-tailed" test is a separate issue, and that has to do with how you specify your null and alternative hypotheses. A one-tailed hypothesis test, or a directional test, in when you are testing an alternative hypothesis in one direction (e.g. whether there is specifically an increase, or specifically a decease) rather than whether there is evidence of any difference (direction ignored). Directional hypotheses (one-tailed tests) are carried out the same way in JMP, just look at the p &amp;gt; t or p &amp;lt; t sections (depending on the direction you specify) rather than the p &amp;gt; |t| sections. If you'd like to know more about directional hypothesis (and some considerations when using them) here is a video of mine covering them in more detail: &lt;A href="https://www.youtube.com/watch?v=QkSCrtFrE3c&amp;amp;list=PLPYKIfYSFVt8xmW-ypCiCnStRoRTDxggh&amp;amp;index=9" target="_blank"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Factors Affecting Power - Directional Hypotheses (Module 1 8 9)&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 14 Nov 2016 08:49:50 GMT</pubDate>
    <dc:creator>jules</dc:creator>
    <dc:date>2016-11-14T08:49:50Z</dc:date>
    <item>
      <title>Standard deviation and p-value for difference scores?</title>
      <link>https://community.jmp.com/t5/Discussions/Standard-deviation-and-p-value-for-difference-scores/m-p/11982#M11465</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Does anyone know how to create standard deviations and p-values if you are looking at the difference scores of two averages? I think I have to do a one tailed t-test but I am really unsure how I would do that in JMP.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Apr 2015 06:12:25 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Standard-deviation-and-p-value-for-difference-scores/m-p/11982#M11465</guid>
      <dc:creator>syy010</dc:creator>
      <dc:date>2015-04-20T06:12:25Z</dc:date>
    </item>
    <item>
      <title>Re: Standard deviation and p-value for difference scores?</title>
      <link>https://community.jmp.com/t5/Discussions/Standard-deviation-and-p-value-for-difference-scores/m-p/11983#M11466</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi &lt;A href="https://community.jmp.com/people/syy010" target="_blank"&gt;syy010&lt;/A&gt;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;It sounds like you're looking to perform a matched-pairs/dependent-measures t-test. When you have data in dependent pairs (e.g. repeated measurements from the same individual, or across matched individuals) the analysis boils down to a one-sample t-test on the difference scores (*this is a different issue than a "one-tailed test" -- see below). These can be performed in JMP using the Analyze &amp;gt; Matched Pairs platform, or by using Analyze &amp;gt; Distribution after making a difference score column. In the latter case, you are testing whether the mean of the difference score column is different from 0 (which can be done by selecting the Red Triangle in the distribution platform &amp;gt; Test Mean). You will also get the standard deviation of the difference scores by using this second approach.&amp;nbsp; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is a page with details on these kinds of tests, including a video and a PDF with step-by-step instructions:&lt;/P&gt;&lt;P&gt;&lt;A _jive_internal="true" href="https://community.jmp.com/docs/DOC-6775" title="https://community.jmp.com/docs/DOC-6775" target="_blank"&gt;https://community.jmp.com/docs/DOC-6775&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can find a complete listing of these JMP guides here: &lt;A href="https://community.jmp.com/docs/DOC-6754" target="_blank"&gt;Collection:  All One-Page Guides&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I hope this helps!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.jmp.com/people/julian" target="_blank"&gt;julian&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;*A "one-tailed" test is a separate issue, and that has to do with how you specify your null and alternative hypotheses. A one-tailed hypothesis test, or a directional test, in when you are testing an alternative hypothesis in one direction (e.g. whether there is specifically an increase, or specifically a decease) rather than whether there is evidence of any difference (direction ignored). Directional hypotheses (one-tailed tests) are carried out the same way in JMP, just look at the p &amp;gt; t or p &amp;lt; t sections (depending on the direction you specify) rather than the p &amp;gt; |t| sections. If you'd like to know more about directional hypothesis (and some considerations when using them) here is a video of mine covering them in more detail: &lt;A href="https://www.youtube.com/watch?v=QkSCrtFrE3c&amp;amp;list=PLPYKIfYSFVt8xmW-ypCiCnStRoRTDxggh&amp;amp;index=9" target="_blank"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Factors Affecting Power - Directional Hypotheses (Module 1 8 9)&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 14 Nov 2016 08:49:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Standard-deviation-and-p-value-for-difference-scores/m-p/11983#M11466</guid>
      <dc:creator>jules</dc:creator>
      <dc:date>2016-11-14T08:49:50Z</dc:date>
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