Calculate conditional probability for user retention

Last updated: November 6, 2025

Quick Overview

Given the following scenario about revenue per session, calculate the the p-value.

Postmates
Statistics & Math
Data Scientist
Postmates
November 6, 2025
Data Scientist
Phone Screen
Statistics & Math
Medium

152

4

4,723 solved


Given the following scenario about revenue per session, calculate the the p-value.

This statistics question from Postmates'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
Confidence intervals and significance levels
Hypothesis testing (H0, H1, p-values)
Regression analysis
Power analysis and sample size calculation
Probability distributions
Multiple testing correction (Bonferroni, FDR)
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?
  • How would you design a follow-up experiment based on these results?
  • What if the sample size is very small?
  • How would you explain this result to a non-technical audience?
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Sample Answer
Problem Formulation

To calculate the conditional probability for user retention based on revenue per session, we need to define our variables clearly. Let:

  • RR = Revenue per session
  • UU = User retention (1 if...
Solution Approach
  1. Data Collection: Gather data on user sessions, including revenue per session and whether each user was retained.

  2. Model Specification: Fit a logistic regression model:

    [ ex...


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