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<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Joshua Hernandez's Blog (Posts about Statistics)</title><link>http://joshuahernandezblog.com/</link><description></description><atom:link href="http://joshuahernandezblog.com/categories/statistics.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><copyright>Contents © 2019 &lt;a href="mailto:Joshua.M.S.Hernandez@gmail.com"&gt;Joshua Hernandez&lt;/a&gt; </copyright><lastBuildDate>Wed, 16 Jan 2019 22:40:51 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>A Perfectly Cromulent Intro to Simpson's Paradox</title><link>http://joshuahernandezblog.com/blog/a-perfectly-cromulent-intro-to-simpsons-paradox/</link><dc:creator>Joshua Hernandez</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
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&lt;p&gt;&lt;i&gt;In this post, we will go over one of my favorite statistical phenomenons, Simpson's paradox, using interactive data modules.  &lt;/i&gt;
&lt;/p&gt;&lt;p&gt;&lt;a href="http://joshuahernandezblog.com/blog/a-perfectly-cromulent-intro-to-simpsons-paradox/"&gt;Read more…&lt;/a&gt; (9 min remaining to read)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>Quick Post</category><category>Statistics</category><guid>http://joshuahernandezblog.com/blog/a-perfectly-cromulent-intro-to-simpsons-paradox/</guid><pubDate>Fri, 15 Sep 2017 05:57:28 GMT</pubDate></item></channel></rss>