Calculate probability for user retention

Last updated: October 5, 2025

Quick Overview

Given the following scenario about user conversion, calculate the the sample size needed.

Dropbox
Statistics & Math
Data Scientist
Dropbox
October 5, 2025
Data Scientist
Technical Screen
Statistics & Math
Medium

29

6

2,075 solved


Given the following scenario about user conversion, calculate the the sample size needed.

Dropbox values data-driven decision making. This Technical Screen 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
Conditional probability and Bayes theorem
Power analysis and sample size calculation
Confidence intervals and significance levels
Probability distributions
Hypothesis testing (H0, H1, p-values)
Central Limit Theorem
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 alternative statistical method could you use here?
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