What is Statistical Power? In nullhypothesis statistical testing (NHST) – the procedure most commonly applied in A/B tests, there are two types of errors that practitioners should care about, type I and type II errors. Type I is the probability of the test procedure to falsely reject a true null hypothesis. Type II error is […] Read More…

Recent Posts
 Designing successful A/B tests in Email Marketing
 Analysis of 115 A/B Tests: Average Lift is 4%, Most Lack Statistical Power
 Confidence Intervals & Pvalues for Percent Change / Relative Difference
 Affordable A/B Tests: Google Optimize & AGILE A/B Testing
 The Google Optimize Statistical Engine and Approach
Categories
Archives
 August 2018
 June 2018
 April 2018
 March 2018
 November 2017
 October 2017
 September 2017
 August 2017
 July 2017
 May 2017
 November 2016
 May 2016
 March 2016
 January 2016
 November 2015
 October 2015
 September 2015
 August 2015
 July 2015
 June 2015
 March 2015
 January 2015
 October 2014
 September 2014
 August 2014
 July 2014
 May 2014
 April 2014

Looking to improve your conversion rate optimization skills? Check out the CXL Institute online courses.