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    <title>topic Re: goodness to fit in SAS Studio</title>
    <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615810#M8616</link>
    <description>&lt;P&gt;You can check a textbook for precise language. What I would say would depend on my audience.&amp;nbsp; If I want to be casual, I would say "the GOF tests indicate that the data are approximately normal with the given mean and standard deviation."&amp;nbsp; If I am talking to a colleague, I might say, "there is not sufficient evidence to reject the null hypothesis at the 0.05 significance level," where the "null hypothesis" is that the data are generated from a&amp;nbsp;N(75.008, 13.925) distribution.&lt;/P&gt;</description>
    <pubDate>Tue, 07 Jan 2020 21:34:52 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2020-01-07T21:34:52Z</dc:date>
    <item>
      <title>goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615775#M8612</link>
      <description>&lt;P&gt;How&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="gf.png" style="width: 520px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/35204i5EA24651A947ED99/image-dimensions/520x292?v=v2" width="520" height="292" role="button" title="gf.png" alt="gf.png" /&gt;&lt;/span&gt; would I interoperate this goodness to fit&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 19:58:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615775#M8612</guid>
      <dc:creator>laurenhosking</dc:creator>
      <dc:date>2020-01-07T19:58:24Z</dc:date>
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    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615794#M8613</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 20:44:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615794#M8613</guid>
      <dc:creator>laurenhosking</dc:creator>
      <dc:date>2020-01-07T20:44:11Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615804#M8614</link>
      <description>&lt;P&gt;From your output, there is no evidence that variable wt isn't normally distributed.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 21:25:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615804#M8614</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2020-01-07T21:25:55Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615806#M8615</link>
      <description>&lt;P&gt;thank you! how do you know this from the small table?&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 21:29:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615806#M8615</guid>
      <dc:creator>laurenhosking</dc:creator>
      <dc:date>2020-01-07T21:29:11Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615810#M8616</link>
      <description>&lt;P&gt;You can check a textbook for precise language. What I would say would depend on my audience.&amp;nbsp; If I want to be casual, I would say "the GOF tests indicate that the data are approximately normal with the given mean and standard deviation."&amp;nbsp; If I am talking to a colleague, I might say, "there is not sufficient evidence to reject the null hypothesis at the 0.05 significance level," where the "null hypothesis" is that the data are generated from a&amp;nbsp;N(75.008, 13.925) distribution.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 21:34:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615810#M8616</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-01-07T21:34:52Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615811#M8617</link>
      <description>&lt;P&gt;Thank you rick. can I see that I can jeject the null hypothesis from the small table below too?&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 21:40:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615811#M8617</guid>
      <dc:creator>laurenhosking</dc:creator>
      <dc:date>2020-01-07T21:40:51Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615815#M8618</link>
      <description>&lt;P&gt;Yes, because the p values for the GOF tests are greater than 0.05.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 21:47:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615815#M8618</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-01-07T21:47:44Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615821#M8619</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt; I guess you meant No: you can't reject the null hypothesis that the data is distributed normally.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 22:07:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615821#M8619</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2020-01-07T22:07:41Z</dc:date>
    </item>
    <item>
      <title>Re: goodness to fit</title>
      <link>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615832#M8621</link>
      <description>&lt;P&gt;Right. Thanks, PGStats. To clarify, the OP asked, "&lt;SPAN&gt;can I see that I can reject the null hypothesis from the small table below too?"&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;But she should have asked, "&lt;SPAN&gt;can I see from the table that the GOF tests &lt;STRONG&gt;FAIL TO&lt;/STRONG&gt; reject the null hypothesis."&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The answer is yes, you can see that from the table because the p values less than 0.05.&amp;nbsp;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 07 Jan 2020 23:44:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Studio/goodness-to-fit/m-p/615832#M8621</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-01-07T23:44:21Z</dc:date>
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