Category Archives: AGILE A/B Testing

Posts on the topic of a/b testing using the AGILE statistical method.

Improving ROI in A/B Testing: the AGILE AB Testing Approach

After many months of statistical research and development we are happy to announce two major releases that we believe have the potential to reshape statistical practice in the area of A/B testing by substantially increasing the accuracy, efficiency and ultimately return on investment of all kinds of A/B testing efforts in online marketing: a free white […] Read More…

Also posted in A/B Testing, Conversion Optimization, Statistics | Tagged , , , , , , , , , , | Comments closed

The Importance of Statistical Power in Online A/B Testing

Statistical Power and Test Sensitivity

What is Statistical Power? In null-hypothesis 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…

Also posted in A/B Testing, Conversion Optimization, Statistical Significance, Statistics | Tagged , , , , , | Comments closed