Design an A/B test for a new checkout flow

Last updated: November 10, 2025

Quick Overview

Design an experiment to test the impact of a redesigned homepage. Include sample size calculation, metrics, and analysis plan.

Tesla
Statistics & Math
Data Scientist
Tesla
November 10, 2025
Data Scientist
Onsite
Statistics & Math
Medium

13

6

1,796 solved


Design an experiment to test the impact of a redesigned homepage. Include sample size calculation, metrics, and analysis plan.

This statistics question from Tesla's Onsite 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
  • 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
Causal inference basics
Multiple testing correction (Bonferroni, FDR)
Hypothesis testing (H0, H1, p-values)
Central Limit Theorem
Conditional probability and Bayes 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 alternative statistical method could you use here?
  • How would you handle multiple comparisons?
  • How would you design a follow-up experiment based on these results?
  • What if the sample size is very small?
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Sample Answer
Setting Up the Problem

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Solution Approach

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