Calculate probability for A/B test results

Last updated: May 19, 2026

Quick Overview

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

Goldman Sachs
Statistics & Math
Data Scientist
Goldman Sachs
May 19, 2026
Data Scientist
Phone Screen
Statistics & Math
Medium

4

4

1,389 solved


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

Statistics questions at Goldman Sachs test your ability to reason quantitatively and design rigorous experiments. This Phone Screen question evaluates your understanding of statistical inference and its application to business decisions.

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
Power analysis and sample size calculation
Multiple testing correction (Bonferroni, FDR)
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
  • What if the sample size is very small?
  • What assumptions does this test make, and how would you validate them?
  • What alternative statistical method could you use here?
  • How would you explain this result to a non-technical audience?
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Sample Answer
Setting Up the Problem

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Solution Approach

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