<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Proc survey select in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80255#M7862</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;All of the common statistical power/sample size procedures assume an infinite underlying (theoretical) population.&amp;nbsp; Working with fixed populations complicates the estimation.&amp;nbsp; Your 'population' is large enough to be functionally infinite.&amp;nbsp; However, you still need to optimize on something else.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Change your question to something that power works for.&amp;nbsp; Most likely, that would be to get a sufficient precision (s.d.) on an estimator of interest (cost?).&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 02 Aug 2012 15:19:59 GMT</pubDate>
    <dc:creator>Doc_Duke</dc:creator>
    <dc:date>2012-08-02T15:19:59Z</dc:date>
    <item>
      <title>Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80250#M7857</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have a dataset (226841 records) having 2 columns(Claim_num and ACCT). there are about 235 ACCT having claims ranging 1 to 24,648)&lt;/P&gt;&lt;P&gt; I would like to get optimal sample size from this set to audit. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc surveyselect data=cag_out n=100 &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; out=Sample_all_out;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; strata cag / ALLOC=PROP nosample;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I getting error &lt;/P&gt;&lt;P&gt;ERROR: Variable PROP not found.&lt;/P&gt;&lt;P&gt;ERROR: Variable NOSAMPLE not found.&lt;/P&gt;&lt;P&gt;ERROR 22-322: Syntax error, expecting one of the following: a name, ;, -, :, DESCENDING, NOTSORTED, _ALL_, _CHARACTER_, _CHAR_, &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; _NUMERIC_.&amp;nbsp; &lt;/P&gt;&lt;P&gt;ERROR 202-322: The option or parameter is not recognized and will be ignored.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;any help is appreciated&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jul 2012 20:23:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80250#M7857</guid>
      <dc:creator>avatar</dc:creator>
      <dc:date>2012-07-31T20:23:28Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80251#M7858</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;ALLOC=PROP appeared in SAS 9.2 Which version of SAS are you using?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jul 2012 20:44:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80251#M7858</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2012-07-31T20:44:10Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80252#M7859</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;we are using 9.1. any other suggestion?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jul 2012 20:46:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80252#M7859</guid>
      <dc:creator>avatar</dc:creator>
      <dc:date>2012-07-31T20:46:50Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80253#M7860</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;How do you define optimal in this sense?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jul 2012 21:25:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80253#M7860</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2012-07-31T21:25:36Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80254#M7861</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am interested in a procedure which gives sample size recommendation based on population size. is POWER procedure the one to consider?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 01 Aug 2012 14:02:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80254#M7861</guid>
      <dc:creator>avatar</dc:creator>
      <dc:date>2012-08-01T14:02:45Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80255#M7862</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;All of the common statistical power/sample size procedures assume an infinite underlying (theoretical) population.&amp;nbsp; Working with fixed populations complicates the estimation.&amp;nbsp; Your 'population' is large enough to be functionally infinite.&amp;nbsp; However, you still need to optimize on something else.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Change your question to something that power works for.&amp;nbsp; Most likely, that would be to get a sufficient precision (s.d.) on an estimator of interest (cost?).&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 02 Aug 2012 15:19:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80255#M7862</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2012-08-02T15:19:59Z</dc:date>
    </item>
    <item>
      <title>Re: Proc survey select</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80256#M7863</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you very much for all your suggestions. We will be looking into Power procedure&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 02 Aug 2012 15:26:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Proc-survey-select/m-p/80256#M7863</guid>
      <dc:creator>avatar</dc:creator>
      <dc:date>2012-08-02T15:26:03Z</dc:date>
    </item>
  </channel>
</rss>

