A/B & Multivariate Testing Interview Questions & Answers

Uplift models predict incremental impact rather than total conversion likelihood. They help teams…

Test your knowledge of common a/b testing pitfalls. Stopping a test the moment the p‑value dips…

Test your knowledge of false positives vs. A false positive in hypothesis testing is formally called…

Test your knowledge of bayesian vs. In Bayesian analysis, a 95 % interval for the lift is called a…

Cut through the jargon and see what “statistically significant” really means. Test your grasp of…

Great experiments start with the right sample and enough statistical power. Sharpen your intuition…

A p‑value can guide decisions or mislead them. Learn to read the number behind the decimal like…

A/B testing lets teams compare two versions objectively. Master the core concepts that keep…

Good experiments begin with sharp, testable hypotheses. Check how well you can turn ideas into clear…

Picking the wrong KPI can steer a test off‑course. See if you can spot the metrics that truly…