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    <title>topic Re: Surveymeans and confidence limits in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Surveymeans-and-confidence-limits/m-p/62821#M2961</link>
    <description>SURVEYMEANS does take df into account. The df calculation depends on whether you have clusters and/or strata. In the simplest case, with no clusters or strata (which means that each observation is a cluster), df = number of observations - 1. For your example, 2.04 IS the critical t value (with alpha=.05). By the way, CI is SE*t (not SD*t).&lt;BR /&gt;
&lt;BR /&gt;
You can see the calculated df value by putting df in the procedure statement.</description>
    <pubDate>Mon, 09 May 2011 12:55:37 GMT</pubDate>
    <dc:creator>lvm</dc:creator>
    <dc:date>2011-05-09T12:55:37Z</dc:date>
    <item>
      <title>Surveymeans and confidence limits</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Surveymeans-and-confidence-limits/m-p/62820#M2960</link>
      <description>I have a question about the estimation about confidence limits and proc surveymeans.&lt;BR /&gt;
&lt;BR /&gt;
When we estimates the confidence limits, it seams that SAS does not take the df in account? It makes just a point estimate with SD * 2.04.&lt;BR /&gt;
&lt;BR /&gt;
Is this the correct behavior? or is there a way to make SAS adjust the 2.04 coefficint according to the df and the numbers in the t-tables?</description>
      <pubDate>Fri, 06 May 2011 08:52:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Surveymeans-and-confidence-limits/m-p/62820#M2960</guid>
      <dc:creator>AndersBergquist</dc:creator>
      <dc:date>2011-05-06T08:52:10Z</dc:date>
    </item>
    <item>
      <title>Re: Surveymeans and confidence limits</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Surveymeans-and-confidence-limits/m-p/62821#M2961</link>
      <description>SURVEYMEANS does take df into account. The df calculation depends on whether you have clusters and/or strata. In the simplest case, with no clusters or strata (which means that each observation is a cluster), df = number of observations - 1. For your example, 2.04 IS the critical t value (with alpha=.05). By the way, CI is SE*t (not SD*t).&lt;BR /&gt;
&lt;BR /&gt;
You can see the calculated df value by putting df in the procedure statement.</description>
      <pubDate>Mon, 09 May 2011 12:55:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Surveymeans-and-confidence-limits/m-p/62821#M2961</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2011-05-09T12:55:37Z</dc:date>
    </item>
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