Interpret mixed results across segments from an experiment
Last updated: September 28, 2025
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Figma
September 28, 202543
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An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Statistics questions at Figma test your ability to reason quantitatively and design rigorous experiments. This Technical Screen question evaluates your understanding of statistical inference and its application to business decisions.
What the Interviewer Expects
- State the correct formula or theorem with clear definitions
- Apply the concept to the given scenario step by step
- Interpret the result in plain language
- Identify assumptions and when they might be violated
Key Topics to Cover
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 explain this result to a non-technical audience?
- 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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Problem Formulation
In this experiment, we observe a 3% lift in a certain metric (e.g., conversion rate) with a p-value of 0.08. The p-value suggests the probability of observing the data, or something more extreme, assu...
Solution Approach
- Assess the p-value: With a p-value of 0.08, we do not reject the null hypothesis at the typical α = 0.05 level. However, we are close to the threshold.
- Consider the significance level:...
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