Explain Simpson's paradox with an example

Last updated: July 3, 2025

Quick Overview

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

Elastic
Statistics & Math
Data Scientist
Elastic
July 3, 2025
Data Scientist
Phone Screen
Statistics & Math
Medium

66

6

2,512 solved


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

Statistics questions at Elastic test your ability to reason quantitatively and design rigorous experiments. This Phone Screen question evaluates your understanding of statistical inference and its application to business decisions.

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
Multiple testing correction (Bonferroni, FDR)
Central Limit Theorem
Conditional probability and Bayes theorem
Power analysis and sample size calculation
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 explain this result to a non-technical audience?
  • How would you design a follow-up experiment based on these results?
  • What alternative statistical method could you use here?
  • What if the sample size is very small?
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