Interpret no significant difference from an experiment
Last updated: August 1, 2025
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Snapchat
August 1, 202514
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2,361 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Snapchat values data-driven decision making. This Take-home Project 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
- How would you design a follow-up experiment based on these results?
- What if the sample size is very small?
- What alternative statistical method could you use here?
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Problem Formulation
In this scenario, we have conducted an experiment to evaluate the impact of a new feature on Snapchat's user engagement, specifically measuring a lift in engagement rates. The observed lift is 3%, wit...
Solution Approach
To interpret the p-value, we compare it to a significance level (α), commonly set at 0.05. In this case, since 0.08 > 0.05, we fail to reject the null hypothesis. This indicates that while there is a ...
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