Design an A/B test for a pricing model
Last updated: June 6, 2026
Quick Overview
Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.
Dropbox
Statistics & Math
Data Scientist
Dropbox
June 6, 2026Data Scientist
Onsite
Statistics & Math
Hard
25
5
2,545 solved
Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.
This statistics question from Dropbox'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
- 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
Regression analysis
Power analysis and sample size calculation
Hypothesis testing (H0, H1, p-values)
How to Approach This
- Define your hypotheses (H0 and H1) clearly before performing any test.
- Calculate required sample size BEFORE running an experiment, using power analysis.
- Remember the Central Limit Theorem: sample means become approximately normal with large n.
- Watch for Simpson's paradox. Always segment data by key dimensions.
- 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?
- How would you explain this result to a non-technical audience?
- What alternative statistical method could you use here?
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Browse Statistics QuestionsSample Answer
Problem Formulation
To test the impact of new pricing tiers on Dropbox's subscription model, we will formulate our hypotheses as follows:
- Null Hypothesis (H0): There is no significant difference in conversion rate...
Solution Approach
- Sample Size Calculation: To determine the required sample size, we need to estimate the expected conversion rates and decide on the desired power (typically 80%) and significance level (commonl...
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