Frequentist vs. Bayesian statistics for A/B testing

A/B testing in product management employs two main statistical approaches: frequentist and Bayesian. Frequentist methods focus on objective data analysis using p-values and confidence intervals, while Bayesian methods incorporate prior knowledge and update beliefs as new data is collected.

The choice between approaches depends on sample size, prior knowledge, and decision-making context. Frequentist methods are better for large samples and one-off decisions, while Bayesian methods excel in iterative testing and smaller samples with prior information.