Amazon Statistics & Math interview questions focus on applied inference, experiment design, probability, and mathematical reasoning used to drive product decisions. Unlike purely theoretical exams, Amazon's screens tend to evaluate your ability to translate statistical results into business recommendations: designing and interpreting A/B tests, selecting appropriate estimators, reasoning about bias and variance, and quantifying uncertainty for stakeholders. Expect questions rooted in realistic datasets and product trade-offs, often combined with SQL or simple coding to show you can manipulate data and validate assumptions. For interview preparation, prioritize fundamentals (hypothesis testing, confidence intervals, Bayesian intuition, regression assumptions, power/sample-size calculations) and practice explaining results in plain language with concrete action items. Time-boxed technical screens will probe mathematical derivations and quick probability puzzles, while onsite loops typically include deeper case-style problems and behavioral threads that test clarity and ownership. Prep with worked problems, mini-experiments you can explain, and mock interviews that force concise, business-focused answers.