Design an A/B test for a pricing model

Last updated: January 26, 2026

Quick Overview

Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.

Adobe
Statistics & Math
Data Scientist
Adobe
January 26, 2026
Data Scientist
Onsite
Statistics & Math
Medium

31

3

3,073 solved


Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.

Statistics questions at Adobe test your ability to reason quantitatively and design rigorous experiments. This Onsite 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
Central Limit Theorem
Conditional probability and Bayes theorem
Hypothesis testing (H0, H1, p-values)
Confidence intervals and significance levels
Power analysis and sample size calculation
Causal inference basics
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 assumptions does this test make, and how would you validate them?
  • What alternative statistical method could you use here?
  • What if the sample size is very small?
  • How would you explain this result to a non-technical audience?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

Browse Statistics Questions
Sample Answer
Problem Formulation

To evaluate the impact of new pricing tiers on customer conversion rates, we will conduct an A/B test. We define:

  • Null Hypothesis (H0): There is no significant difference in conversion rates be...
Solution Approach

To determine the sample size needed for the A/B test, we will perform the following steps:

  1. Define baseline conversion rate (p1p_1): Assume the current conversion rate is 10% (0.10).
  2. **Se...

Submit Your Answer
Markdown supported

Related Questions