Google Statistics & Math interview questions at Google typically blend core probability and inferential statistics with applied experimental design and metric diagnosis. What’s distinctive is the emphasis on real-world thinking: interviewers evaluate not only whether you can compute a p-value or derive a distribution, but whether you can state assumptions, choose the right test or estimator, reason about bias/variance and power, and communicate tradeoffs clearly. Expect both theoretical white‑board style questions and product‑oriented case prompts where you propose analyses, sample sizes, and guardrails for interpretation. ([cleverprep.com](https://www.cleverprep.com/companies/google/data-scientist?utm_source=openai)) For interview preparation focus on fundamentals (distributions, hypothesis testing, confidence intervals, conditional probability and basic linear algebra), applied experimental design and metric interpretation, and practice explaining your choices end‑to‑end. Time yourself on short analytic case studies