Bayesian A/B Testing with PyMC

For comparing two variants on a conversion metric, use Bayesian A/B testing. It directly answers the questions stakeholders actually ask — "What's the probability B is better?" and "How much do we lose if we're wrong?" — without the fragile rituals of frequentist hypothesis testing (no p-values, no fixed sample sizes, no "don't peek" rules).

When to use this skill