<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>TMA4267 Linear Statistical Models Part 3: Hypothesis testing and ANOVA by Mette Langaas</title>
      <link>https://padlet.com/mette_langaas/ja0ji764no5g</link>
      <description>What are the important results in this part of the course?</description>
      <language>en-us</language>
      <pubDate>2017-02-28 20:11:18 UTC</pubDate>
      <lastBuildDate>2026-02-21 12:12:33 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url>https://padlet-assets.s3.amazonaws.com/icons/Thunder.png</url>
      </image>
      <item>
         <title>FWER</title>
         <author>mette_langaas</author>
         <link>https://padlet.com/mette_langaas/ja0ji764no5g/wish/162918254</link>
         <description><![CDATA[<div>the familywise error rate is defined as the probability of one or more false positive findings,&nbsp;</div><div>P(V&gt;0), 
where V=number of false positive findings, when m hypotheses are tested.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-03-27 18:17:43 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/ja0ji764no5g/wish/162918254</guid>
      </item>
   </channel>
</rss>
