Explain propensity score matching with an example
Last updated: August 15, 2025
Quick Overview
Explain propensity score matching in simple terms and provide a concrete example.
Snapchat
August 15, 202519
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4,358 solved
Explain propensity score matching in simple terms and provide a concrete example.
This statistics question from Snapchat'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
- State the correct formula or theorem with clear definitions
- Apply the concept to the given scenario step by step
- Interpret the result in plain language
- Identify assumptions and when they might be violated
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
- What alternative statistical method could you use here?
- What if the sample size is very small?
- How would you explain this result to a non-technical audience?
- How would you handle multiple comparisons?
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Problem formulation
Propensity Score Matching (PSM) is a statistical technique used to reduce selection bias in observational studies when estimating the effect of a treatment or intervention. The propensity score is def...
Solution approach
To apply propensity score matching, we follow these steps:
- Estimate the Propensity Score: Use a logistic regression model to estimate the probability of receiving treatment based on covariates....
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