<?xml version="1.0" encoding="utf-8"?>
<?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>Bounded Rationality (Posts about sample size)</title><link>http://bjlkeng.github.io/</link><description></description><atom:link href="http://bjlkeng.github.io/categories/sample-size.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Tue, 10 Mar 2026 20:54:59 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Elementary Statistics for Direct Marketing</title><link>http://bjlkeng.github.io/posts/normal-difference-distribution/</link><dc:creator>Brian Keng</dc:creator><description>&lt;div&gt;&lt;p&gt;This post is going to look at some elementary statistics for direct marketing.
Most of the techniques are direct applications of topics learned in a first
year statistics course hence the "elementary".  I'll start off by covering some
background and terminology on the direct marketing and then introduce some of
the statistical inference techniques that are commonly used.  As usual, I'll
mix in some theory where appropriate to build some intuition.&lt;/p&gt;
&lt;p&gt;&lt;a href="http://bjlkeng.github.io/posts/normal-difference-distribution/"&gt;Read more…&lt;/a&gt; (20 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>direct marketing</category><category>mathjax</category><category>normal</category><category>probability</category><category>sample size</category><guid>http://bjlkeng.github.io/posts/normal-difference-distribution/</guid><pubDate>Sun, 28 Feb 2016 01:40:41 GMT</pubDate></item></channel></rss>