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<rss version="2.0"><channel><title>20bits - Latest Comments in Statistical Analysis and A/B Testing</title><link>http://20bits.disqus.com/</link><description></description><language>en</language><lastBuildDate>Wed, 26 Aug 2009 13:19:14 -0000</lastBuildDate><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-15428566</link><description>This is a great resource; thanks. I'm beginning to look into the statistics behind A/B testing and have some questions. This is well after the initial post, so hopefully Jesse and others will see this.&lt;br&gt;&lt;br&gt;For the distribution of the conversion rate, it seems like it should be a binomial distribution, which can be approximated by the normal distribution (as Jesse asserts in the comments) with scale.&lt;br&gt;&lt;br&gt;But how about if we take this one step further and look to measure this on an e-commerce website, where there's not just conversion rate but also average order value to consider? (Really, we want to look at the contribution margin, but let's assume -- admittedly incorrectly -- that we have a 100% margin on the shopping cart.) This considers contribution per visitor, a broader metric of an e-commerce website than simply conversion rate. (And of course the subsequent step is to follow the impact on lifetime customer value, but let's not go there for now.)&lt;br&gt;&lt;br&gt;Now if you consider the distribution of average order value on a typical e-commerce website, often ~95% do not convert. Of those who do convert, there's typically a normally distributed range of average order values. But if you plot the entire range of AOV, including those who don't convert, there's a huge 'peak' at zero followed by a normal bell curve. This is a more complicated distribution than a simple normal distribution.&lt;br&gt;&lt;br&gt;Does anyone have insights on how to analyze the A/B results for contribution per visitor given this type of distribution? Seems like perhaps a compound Poisson, or something similarly complex. Or can someone perhaps provide a good justification of why this level of complexity is unnecessary in the analysis?&lt;br&gt;&lt;br&gt;Thanks,&lt;br&gt;Jonathan</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">jtregister</dc:creator><pubDate>Wed, 26 Aug 2009 13:19:14 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-15348330</link><description>Thanks a lot! You helped me getting a 50% boost in conversion rate for my website:&lt;br&gt;&lt;a href="http://www.ceondo.com/ecte/2009/08/ab-testing-boost-conversion" rel="nofollow"&gt;http://www.ceondo.com/ecte/2009/08/ab-testing-b...&lt;/a&gt;&lt;br&gt;&lt;br&gt;I really recommend everybody to do some AB testing. I am linking to the PHP code to the tests from my article if people are interested.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Loïc d'Anterroches</dc:creator><pubDate>Tue, 25 Aug 2009 08:06:37 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-13800315</link><description>This is quite impressive, I am pleased to read this post, keep posts like this coming, you totally rock!&lt;br&gt;Cheers,&lt;br&gt;&lt;a href="the-review.info/" rel="nofollow"&gt;Blog Review&lt;/a&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Traveller_Adventure</dc:creator><pubDate>Sun, 02 Aug 2009 00:28:05 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-5365676</link><description>If for example, you had a treatment D which had a z-score of -2.94 - would you then be 95% confident that treatment D is worse than the control?</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Yvonne</dc:creator><pubDate>Mon, 19 Jan 2009 10:19:09 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3806937</link><description>"The conversion rate for each treatment approximates a normally distributed random variable" is more correct.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">jfarmer</dc:creator><pubDate>Sun, 16 Nov 2008 12:55:48 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3803473</link><description>"The conversion rate for each treatment is a normally distributed random variable" - are you sure??</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">hadley</dc:creator><pubDate>Sun, 16 Nov 2008 10:40:34 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3803427</link><description>If you're going to use R, why not actually use the appropriate test - in this case it would be prop.test() for testing the different between two proportions.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">hadley</dc:creator><pubDate>Sun, 16 Nov 2008 10:39:32 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793721</link><description>Oh, that was weird.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">jfarmer</dc:creator><pubDate>Sat, 15 Nov 2008 16:24:27 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793719</link><description>Where did my comments go? :(</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">jfarmer</dc:creator><pubDate>Sat, 15 Nov 2008 16:24:16 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793642</link><description>The most important thing to know is a software package to use -- you don't want to muck around coding this yourself.  R's t.test() is a good choice.  (I guess Excel is good too.)</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Brendan O'Connor</dc:creator><pubDate>Thu, 13 Nov 2008 18:33:39 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793641</link><description>The most important thing to know is a software package to use -- you don't want to muck around coding this yourself.  R's t.test() is a good choice.  (I've heard Excel can do it too I suppose.)</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Brendan O'Connor</dc:creator><pubDate>Thu, 13 Nov 2008 18:33:21 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793640</link><description>They were using an Excel spreadsheet and were kind enough to make it public.&lt;br&gt;&lt;a href="http://blog.socialmedia.com/wp-content/uploads/binomial-distribution-demonstrator.xls" rel="nofollow"&gt;http://blog.socialmedia.com/wp-content/uploads/...&lt;/a&gt;&lt;br&gt;&lt;br&gt;I just tried it and had to watch the video a couple of times to understand how to use the spreadsheet.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris</dc:creator><pubDate>Thu, 13 Nov 2008 01:21:20 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793639</link><description>Chris,&lt;br&gt;&lt;br&gt;That's a nice video.  I wonder what software they were using?</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Jesse</dc:creator><pubDate>Thu, 13 Nov 2008 00:36:05 -0000</pubDate></item><item><title>Re: Statistical Analysis and A/B Testing</title><link>http://20bits.com/articles/statistical-analysis-and-ab-testing/#comment-3793638</link><description>Nice post.  Social Media had a similar blog entry a while back.&lt;br&gt;&lt;a href="http://blog.socialmedia.com/crafting-a-statistically-significant-a-b-test/" rel="nofollow"&gt;http://blog.socialmedia.com/crafting-a-statisti...&lt;/a&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris</dc:creator><pubDate>Thu, 13 Nov 2008 00:29:23 -0000</pubDate></item></channel></rss>