Calculate conditional probability for A/B test results

Last updated: October 7, 2025

Quick Overview

Given the following scenario about revenue per session, calculate the the sample size needed.

Lyft
Statistics & Math
Data Scientist
Lyft
October 7, 2025
Data Scientist
Take-home Project
Statistics & Math
Medium

19

4

1,701 solved


Given the following scenario about revenue per session, calculate the the sample size needed.

Lyft values data-driven decision making. This Take-home Project question assesses whether you can design experiments, interpret results correctly, and avoid common statistical pitfalls like p-hacking or Simpson's paradox.

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)
Regression analysis
Probability distributions
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 explain this result to a non-technical audience?
  • How would you handle multiple comparisons?
  • What assumptions does this test make, and how would you validate them?
  • How would you design a follow-up experiment based on these results?
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Sample Answer
Problem Formulation

We aim to calculate the sample size required to detect a difference in revenue per session between two variants (A and B) in an A/B test for Lyft. Let pAp_A and pBp_B represent the expected re...

Solution Approach
  1. Determine Parameters: Define expected means and standard deviations:
    • Let μA=100\mu_A = 100 (average revenue per session for variant A)
    • Let μB=110\mu_B = 110 (average revenue per sessi...

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