Explain propensity score matching with an example
Last updated: March 2, 2026
Quick Overview
Explain propensity score matching in simple terms and provide a concrete example.
Adobe
March 2, 2026349
5
2,600 solved
Explain propensity score matching in simple terms and provide a concrete example.
This statistics question from Adobe's Technical 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
How to Approach This
- Define your hypotheses (H0 and H1) clearly before performing any test.
- Calculate required sample size BEFORE running an experiment, using power analysis.
- Remember the Central Limit Theorem: sample means become approximately normal with large n.
- Watch for Simpson's paradox. Always segment data by key dimensions.
- Distinguish between statistical significance and practical significance.
Possible Follow-up Questions
- How would you design a follow-up experiment based on these results?
- What if the sample size is very small?
- What assumptions does this test make, and how would you validate them?
- How would you handle multiple comparisons?
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Problem Formulation
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