Using the Beta-Binomial model, we introduce a common pattern to perform Bayesian A/B testing. There are three strong reasons to prefer Bayesian A/B testing over traditional hypothesis testing: uncertainty visualisation, interpretable statistics and more flexibility of computing additional statistics.

Learn:

• What is A/B testing?
• How do we use Bayesian statistics in A/B testing?
• How do we determine if group A is better than group B?
• And by how much is group A better than B?