Interpret mixed results across segments from an experiment
Last updated: July 4, 2025
Quick Overview
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Uber
July 4, 20255
5
4,129 solved
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Statistics questions at Uber test your ability to reason quantitatively and design rigorous experiments. This Take-home Project 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
- What alternative statistical method could you use here?
- How would you explain this result to a non-technical audience?
- How would you handle multiple comparisons?
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Problem Formulation
In this experiment, we have multiple segments (e.g., different user demographics or geographic regions) being tested for a specific outcome (e.g., ride-hailing frequency, user satisfaction). The resul...
Solution Approach
- Collect Data: Gather outcome data for each segment from the experiment, e.g., average ride frequency for control and treatment groups.
- Conduct Hypothesis Testing: For each segment, perfo...
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