Interpret no significant difference from an experiment
Last updated: December 9, 2025
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Discord
December 9, 2025123
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An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Discord 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
- Set up the problem formally with proper notation
- Apply the correct statistical test with clear justification
- Interpret results with appropriate caveats and confidence levels
- Discuss practical significance vs statistical significance
- Identify potential confounders and how to address them
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?
- How would you explain this result to a non-technical audience?
- 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
We are tasked with interpreting the results of an experiment conducted by Discord that indicates a 3% lift in some metric of interest (e.g., user engagement) with a p-value of 0.08. The null hypothesi...
Solution Approach
To interpret the p-value of 0.08, we need to recognize that it is greater than our significance level of 0.05, implying that we do not have sufficient evidence to reject the null hypothesis. The steps...
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