Explain Simpson's paradox with an example

Last updated: December 28, 2025

Quick Overview

Explain Simpson's paradox in simple terms and provide a concrete example.

Vercel
Statistics & Math
Data Scientist
Vercel
December 28, 2025
Data Scientist
Phone Screen
Statistics & Math
Medium

16

4

3,016 solved


Explain Simpson's paradox in simple terms and provide a concrete example.

This statistics question from Vercel's Phone Screen tests your ability to apply mathematical reasoning to practical problems. The interviewer expects precise definitions, correct methodology, and awareness of assumptions and limitations.

What the Interviewer Expects
  • Set up the problem formally with proper notation
  • Apply the correct statistical test with clear justification
  • Interpret results with appropriate caveats and confidence levels
  • Discuss practical significance vs statistical significance
  • Identify potential confounders and how to address them
Key Topics to Cover
Regression analysis
Conditional probability and Bayes theorem
Multiple testing correction (Bonferroni, FDR)
Central Limit Theorem
Bayesian vs frequentist inference
Confidence intervals and significance levels
How to Approach This
  1. Define your hypotheses (H0 and H1) clearly before performing any test.
  2. Calculate required sample size BEFORE running an experiment, using power analysis.
  3. Remember the Central Limit Theorem: sample means become approximately normal with large n.
  4. Watch for Simpson's paradox. Always segment data by key dimensions.
  5. Distinguish between statistical significance and practical significance.
Possible Follow-up Questions
  • How would you handle multiple comparisons?
  • What assumptions does this test make, and how would you validate them?
  • How would you explain this result to a non-technical audience?
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