Calculate variance for coin flips

Last updated: September 9, 2025

Quick Overview

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

Goldman Sachs
Statistics & Math
Data Scientist
Goldman Sachs
September 9, 2025
Data Scientist
Take-home Project
Statistics & Math
Hard

171

6

4,626 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 Take-home Project question evaluates your understanding of statistical inference and its application to business decisions.

What the Interviewer Expects
  • Derive results from first principles when needed
  • Handle complex scenarios with multiple interacting variables
  • Design experiments that account for real-world complications
  • Discuss advanced topics: Bayesian methods, causal inference, resampling
  • Connect statistical concepts to business decision-making
  • Identify subtle errors in reasoning (Simpson's paradox, survivorship bias)
Key Topics to Cover
Confidence intervals and significance levels
Hypothesis testing (H0, H1, p-values)
Probability distributions
Multiple testing correction (Bonferroni, FDR)
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 handle multiple comparisons?
  • What assumptions does this test make, and how would you validate them?
  • What if the sample size is very small?
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Sample Answer
Problem Formulation

To calculate the variance of revenue per session based on coin flips, we need to define the random variable involved in the scenario. Let XX be the revenue per session. Assume that each session can...

Solution Approach
  1. Determine Parameters: Identify the expected success probability pp, margin of error EE, and confidence level (which gives us the z-score). For example, if we expect a 60% success rate (i....

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