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    <title>topic Re: How do you interpret Welch's Test results? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14533#M13562</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You can control the formatting that JMP uses for the p-values. Go to File &amp;gt; Preferences. Click the Reports category. Click the "Manage Rules" button next to Show Conditional Formatting.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10082_pastedImage_0.png" style="width: 480px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2232i2F01EA90A37A1853/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10082_pastedImage_0.png" alt="10082_pastedImage_0.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;From there choose PValue and edit. You then get a dialog box that allows you to change when JMP flags a low p-value.&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10083_pastedImage_2.png" style="width: 736px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2233i408DE74B700FF56F/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10083_pastedImage_2.png" alt="10083_pastedImage_2.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Note that by using p-values, you never really have to specify your confidence level. You just always use the generic rule: if p-value is less than alpha, reject the null hypothesis. It is the formatting in JMP that may cause issues.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 19 Oct 2016 00:45:45 GMT</pubDate>
    <dc:creator>Dan_Obermiller</dc:creator>
    <dc:date>2016-10-19T00:45:45Z</dc:date>
    <item>
      <title>How do you interpret Welch's Test results?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14531#M13560</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;SPAN style="font-size: 8pt;"&gt; Since the tests for Unequal Variances indicates that the variances ARE unequal, how do I interpret the Welch's Test results?&amp;nbsp; My take, based on the JMP Help is that since the Prob &amp;gt; F is greater than 0.05, the means of my two sample groups are NOT significantly different.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10073_pastedImage_0.png" style="width: 380px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2226i9C570EFD9C265B90/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10073_pastedImage_0.png" alt="10073_pastedImage_0.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 00:44:44 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14531#M13560</guid>
      <dc:creator>jeff_kolton1</dc:creator>
      <dc:date>2016-10-19T00:44:44Z</dc:date>
    </item>
    <item>
      <title>Re: How do you interpret Welch's Test results?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14532#M13561</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;PRE __jive_macro_name="quote" class="jive_macro_quote jive_text_macro" modifiedtitle="true"&gt;&lt;P&gt;jeff.kolton1 wrote:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 8pt;"&gt;My take, based on the JMP Help is that since the Prob &amp;gt; F is greater than 0.05, the means of my two sample groups are NOT significantly different.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;/PRE&gt;&lt;P&gt;That is true given that you are testing at the 5% significance level. When using p-values to determine the results of a test the general rule is no significant differences were detected if &lt;EM&gt;p&lt;/EM&gt; &amp;gt; &lt;EM&gt;α&lt;/EM&gt;; in JMP &lt;EM&gt;α&lt;/EM&gt; = 0.05 by default. JMP also shows you significance by color-coding the p-values. If you look at the results of your tests for equal variances, you can see that all of the tests are significant at the 5% level. Note that the Levene, Bartlett, and 2-sided F Test are also significant at the 1% level. My guess, is that the color coding, which I think started with JMP 12, distinguishes between the 5% level (red) and 1% level (orange).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am not aware of any global way to change the default significance level, but I know I have seen and option to select the significance level for tests in specific platforms.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Sep 2015 15:18:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14532#M13561</guid>
      <dc:creator>mdawson69</dc:creator>
      <dc:date>2015-09-30T15:18:56Z</dc:date>
    </item>
    <item>
      <title>Re: How do you interpret Welch's Test results?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14533#M13562</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You can control the formatting that JMP uses for the p-values. Go to File &amp;gt; Preferences. Click the Reports category. Click the "Manage Rules" button next to Show Conditional Formatting.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10082_pastedImage_0.png" style="width: 480px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2232i2F01EA90A37A1853/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10082_pastedImage_0.png" alt="10082_pastedImage_0.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;From there choose PValue and edit. You then get a dialog box that allows you to change when JMP flags a low p-value.&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10083_pastedImage_2.png" style="width: 736px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2233i408DE74B700FF56F/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10083_pastedImage_2.png" alt="10083_pastedImage_2.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Note that by using p-values, you never really have to specify your confidence level. You just always use the generic rule: if p-value is less than alpha, reject the null hypothesis. It is the formatting in JMP that may cause issues.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 00:45:45 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14533#M13562</guid>
      <dc:creator>Dan_Obermiller</dc:creator>
      <dc:date>2016-10-19T00:45:45Z</dc:date>
    </item>
    <item>
      <title>Re: How do you interpret Welch's Test results?</title>
      <link>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14534#M13563</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Good to know. I generally follow the generic rule, but I also have yet to work on anything that required better than the 5% significance level.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Sep 2015 18:45:53 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-do-you-interpret-Welch-s-Test-results/m-p/14534#M13563</guid>
      <dc:creator>mdawson69</dc:creator>
      <dc:date>2015-09-30T18:45:53Z</dc:date>
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