Choose tests under non‑normal, unequal variance
Company: Instacart
Role: Data Scientist
Category: Statistics & Math
Difficulty: hard
Interview Round: Onsite
Overview: This question evaluates understanding of statistical inference for heavy‑tailed, heteroskedastic A/B test metrics, covering CLT conditions for t‑tests, variance‑robust tests, nonparametric and resampling approaches, log transformations and back‑transformation interpretation, and handling zero inflation within the Statistics & Math domain for Data Scientist roles. It is commonly asked because real‑world experimental metrics violate parametric assumptions, so interviewers probe both conceptual understanding of asymptotics and test assumptions and practical application of resampling, transformation, and two‑part modeling choices along with appropriate robustness checks.
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