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Identify P-Value Limitations and Complementary Approaches

AmazonData Scientist · Onsite
MediumData ScientistOnsiteStatistics & Math

Last updated

Identify P-Value Limitations and Complementary Approaches evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Scenario

During an A/B test for a new product feature, stakeholders rely on p-values to decide shipment.

Question

Explain at least three key limitations of p-values in hypothesis testing and suggest complementary measures or approaches that mitigate these issues.

Hints

Think about effect size, sample size dependence, multiple testing, practical significance, prior beliefs, and p-hacking.