NULL AND ALTERNATIVE HYPOTHESIS IN A/B TESTING

Summary from the TLDR Marketing newsletter

Properly establishing null and alternative hypotheses before conducting A/B tests is essential. The null hypothesis suggests sample observations occur randomly, while alternative hypotheses propose that the control and variant groups are not comparable. This article shares best practices and discusses in detail the different types of alternative hypotheses and how to use them to interpret results based on statistical significance.