Interpret a statistically significant lift of 2% from an experiment
Last updated: May 3, 2026
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
CrowdStrike
May 3, 20261
6
4,495 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
CrowdStrike values data-driven decision making. This Onsite question assesses whether you can design experiments, interpret results correctly, and avoid common statistical pitfalls like p-hacking or Simpson's paradox.
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
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 assumptions does this test make, and how would you validate them?
- What if the sample size is very small?
- How would you handle multiple comparisons?
- How would you explain this result to a non-technical audience?
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Browse Statistics QuestionsSample Answer
Problem Formulation
In this experiment, we observed a 3% lift in the outcome metric compared to a control group. The reported p-value is 0.08, which indicates the probability of observing a lift as extreme as 3% under th...
Solution Approach
- Understanding the p-value: A p-value of 0.08 suggests that if the null hypothesis were true (no actual lift), there is an 8% chance of observing a 3% lift purely by random variation.
- **Conf...
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