Explain and resolve Simpson’s paradox

Quick Overview

This question evaluates understanding of Simpson's paradox, confounding, and causal reasoning, checking numerical interpretation of subgroup versus aggregate statistics and the ability to recognize when aggregated averages can mislead.

Explain and resolve Simpson’s paradox

Company: Google

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

Define Simpson’s paradox and construct a concrete numeric example where group-wise success rates favor treatment in each subgroup but the aggregate rate favors control due to imbalanced group sizes. Provide the algebra showing how a weighted average reverses the trend, relate this to confounding and causal graphs, and describe practical remedies (stratification, standardization, regression with appropriate adjustment). Explain when the aggregate result is the right estimand and when conditioning is required.

Quick Answer: This question evaluates understanding of Simpson's paradox, confounding, and causal reasoning, checking numerical interpretation of subgroup versus aggregate statistics and the ability to recognize when aggregated averages can mislead.

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Oct 13, 2025, 9:49 PM
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Define Simpson’s paradox and construct a concrete numeric example where group-wise success rates favor treatment in each subgroup but the aggregate rate favors control due to imbalanced group sizes. Provide the algebra showing how a weighted average reverses the trend, relate this to confounding and causal graphs, and describe practical remedies (stratification, standardization, regression with appropriate adjustment). Explain when the aggregate result is the right estimand and when conditioning is required.

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