Identify P-Value Limitations and Complementary Approaches

Q: Identify P-Value Limitations and Complementary Approaches

This question evaluates understanding of statistical inference and experimental analysis, focusing on the limitations of p-values and the identification of complementary metrics and practices in A/B testing within the Statistics & Math domain.

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Question

A/B Testing: Limits of P-values and Better Decision Practices

Scenario

Your team is running an A/B test for a new product feature and stakeholders rely on p-values to decide whether to ship.

Task

Explain at least three key limitations of p-values in hypothesis testing and suggest complementary measures or approaches that mitigate these issues. Use A/B testing context and brief examples where helpful.

Guidance

Consider topics such as: effect size, dependence on sample size, multiple testing, practical significance, prior beliefs, and p-hacking/data peeking.

Identify P-Value Limitations and Complementary Approaches

A/B Testing: Limits of P-values and Better Decision Practices

Scenario

Task

Guidance

Solution

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Identify P-Value Limitations and Complementary Approaches

Overview

A/B Testing: Limits of P-values and Better Decision Practices

Scenario

Task

Guidance

Solution

Comments (0)