Distributional assumptions are important for hypothesis testing.
Adobe Target is a popular website optimisation tool. The tool can serve different versions of a website or mobile app to different people. Analysts can then assess which version performs better on specified measures.
This article is about the statistical testing that Adobe Target uses. I also look at why distributional assumptions matter.