Interpret no significant difference from an experiment
Last updated: May 11, 2026
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Slack
May 11, 202660
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2,265 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Slack values data-driven decision making. This Phone Screen 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
- 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?
- What assumptions does this test make, and how would you validate them?
- How would you handle multiple comparisons?
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Problem Formulation
In this scenario, we have conducted an experiment to assess the impact of a certain intervention on a metric of interest, which resulted in a 3% lift. The associated p-value for this lift is 0.08. To ...
Solution Approach
To analyze the results, we follow these steps:
- Compare the p-value to the significance level: Since 0.08 > 0.05, we do not reject the null hypothesis.
- Interpret the p-value: A p-value of...
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