Calculate conditional probability for user retention

Last updated: July 23, 2025

Quick Overview

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

Reddit
Statistics & Math
Data Scientist
Reddit
July 23, 2025
Data Scientist
Take-home Project
Statistics & Math
Easy

6

8

1,870 solved


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

This statistics question from Reddit's Take-home Project 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
Power analysis and sample size calculation
Confidence intervals and significance levels
Central Limit Theorem
Conditional probability and Bayes theorem
Probability distributions
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
  • What alternative statistical method could you use here?
  • What assumptions does this test make, and how would you validate them?
  • How would you explain this result to a non-technical audience?
  • What if the sample size is very small?
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Sample Answer
Setting Up the Problem

Start by formalizing the problem: 1. **Define the hypotheses**: H0 (null hypothesis) and H1 (alternative). Be precise about what you're testing. 2. ...

Solution Approach

**Compute the test statistic**: Apply the appropriate formula using the sample data. **Find the p-value**: The probability of observing a result this...


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