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Compare Two Coin Proportions

Last updated: May 3, 2026

Quick Overview

This question evaluates proficiency in statistical inference for proportions, including hypothesis formulation, comparison of two independent samples, confidence interval interpretation, and interpretation of p-values and sampling variability.

  • medium
  • Uber
  • Statistics & Math
  • Data Scientist

Compare Two Coin Proportions

Company: Uber

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

You are given results from two independent coin-toss experiments: - Coin A was tossed 100 times and landed heads 40 times. - Coin B was tossed 1,000 times and landed heads 600 times. Determine whether the probability of heads is statistically different between the two coins. In your answer, specify: 1. The null and alternative hypotheses. 2. The appropriate statistical test. 3. The test statistic and approximate p-value. 4. A 95% confidence interval for the difference in head probabilities. 5. Any assumptions or caveats, especially given the large difference in sample sizes.

Quick Answer: This question evaluates proficiency in statistical inference for proportions, including hypothesis formulation, comparison of two independent samples, confidence interval interpretation, and interpretation of p-values and sampling variability.

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Uber logo
Uber
Mar 28, 2026, 12:00 AM
Data Scientist
Technical Screen
Statistics & Math
8
0

You are given results from two independent coin-toss experiments:

  • Coin A was tossed 100 times and landed heads 40 times.
  • Coin B was tossed 1,000 times and landed heads 600 times.

Determine whether the probability of heads is statistically different between the two coins.

In your answer, specify:

  1. The null and alternative hypotheses.
  2. The appropriate statistical test.
  3. The test statistic and approximate p-value.
  4. A 95% confidence interval for the difference in head probabilities.
  5. Any assumptions or caveats, especially given the large difference in sample sizes.

Solution

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