<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Wilcoxon Signed-Rank Test on Amit Rajan</title><link>https://amitrajan012.github.io/topics/the-wilcoxon-signed-rank-test/</link><description>Recent content in The Wilcoxon Signed-Rank Test on Amit Rajan</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 07 Dec 2018 07:26:51 +0530</lastBuildDate><atom:link href="https://amitrajan012.github.io/topics/the-wilcoxon-signed-rank-test/index.xml" rel="self" type="application/rss+xml"/><item><title>The Wilcoxon Signed-Rank Test</title><link>https://amitrajan012.github.io/post/the-wilcoxon-signed-rank-test/</link><pubDate>Fri, 07 Dec 2018 07:26:51 +0530</pubDate><guid>https://amitrajan012.github.io/post/the-wilcoxon-signed-rank-test/</guid><description>&lt;/br&gt;&#10;&lt;p&gt;The &lt;b&gt;Wilcoxon Signed-Rank Test&lt;/b&gt; is a distribution free test or non-parametric test which is used to test the population mean when the samples do not come from any specific distribution. The idea behind The Wilcoxon Signed-Rank Test is to median-center the samples and give signed-ranks to the individual values. If the sum of the negative ranks (S-) is larger, we can conclude that the population mean is lesser than the mentioned value. If the sum of the positive ranks(S+) is larger, the population mean is greater than the mentioned value. For detailed explanation, the post&#10;&lt;a href="https://amitrajan012.github.io/post/detailed-hypothesis-testing_4/"&gt; The Wilcoxon Signed-Rank Test &lt;/a&gt; can be followed.&lt;/p&gt;</description></item></channel></rss>