Interpret a statistically significant lift of 2% from an experiment
Last updated: June 13, 2026
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Anduril
June 13, 202630
6
4,927 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
This statistics question from Anduril's Phone Screen 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
- 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 handle multiple comparisons?
- What alternative statistical method could you use here?
- What assumptions does this test make, and how would you validate them?
- What if the sample size is very small?
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Problem Formulation
We are analyzing an experiment that demonstrates a 3% lift in a certain metric, with a p-value of 0.08. In statistical terms, a p-value indicates the probability of observing the data (or some...
Solution Approach
- Hypothesis Testing: We need to set up our hypotheses:
- Null Hypothesis (H0): The lift is 0% (no effect).
- Alternative Hypothesis (H1): The lift is 3% (there is an effect).
- **Eval...
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