Hypothesis Testing

Every experiment ends in a decision, and hypothesis testing is the statistical language behind it. The page first explains the idea, then runs a two-sample test in Python. The same notes are in A/B Testing, Mann-Whitney U test, and Null hypothesis.

The idea comes first. (good) HT explained is Hypothesis Testing Explained (How I Wish It Was Explained to Me), written by someone who first learned it in the first year of a Bachelor's in Statistics and always felt something about it was missing. The same (good) HT explained article also sits at its Towards Data Science address, https://towardsdatascience.com/hypothesis-testing-explained-how-i-wish-it-was-explained-to-me-14379f7a41c3, the publication that calls itself the home for data science and AI.

With the idea clear, two sample HT with python is the two-sample test run in code.