hypothesis-testing

Statistics working data scientists use: descriptive summaries, distributions, hypothesis tests, regression, causal inference, plus worked A/B numbers.

A/B testing statistics explained: hypotheses, sample size, p-values, power, confidence intervals, and the seven mistakes that invalidate experiments.