A/B Testing: Bernoulli Model VS the Beta-Binomial Hierarchical Model
What is A/B Testing? A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. AB testing is essentially an experiment where two or more variants of a page are shown to users at random, and based on the data it receives, statistical analysis is used to determine which variation performs better for a given conversion goal. How A/B Testing works? Here, 2 variations of the same webpage or app are created and are randomly assigned to the users (say 50% to Variation A and 50% to Variation B). As users are served either the A or B, their engagement with each variation is measured and collected and analyzed through a statistical engine. You can then determine whether changing the webpage or app experience had a positive, negative, or no effect on user behavior. Why A/B Testing should be used? A/B testing allows individuals, teams, and companies to make careful changes to their user experie