The ultimate guide to A/B testing. Part 5: Bayesian approach (binomial variables)

Maria Paskevich
Towards Data Science
8 min readSep 3, 2020

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Source: https://en.wikipedia.org/wiki/Bayes%27_theorem#/media/File:Bayes'_Theorem_MMB_01.jpg

A/B testing is a very popular technique for checking granular changes in a product without mistakenly taking into account changes that were caused by outside factors. In this series of articles, I will try to give an easy hands-on manual on how to design, run and estimate results of a/b tests, so you are ready to go and get these amazing statistically

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Data scientist at King.com, enthusiastic traveler, cat lover and unanimous coffee addict