Statistical Foundations and Practical Applications of A/B Testing
This article explains the statistical principles behind A/B testing, covering concepts such as populations, samples, parameters, hypothesis testing, significance levels, t‑tests, metric types, p‑value calculations, and real‑world examples to guide data‑driven product decisions.
