Interpret a statistically significant lift of 2% from an experiment
Last updated: April 9, 2026
Quick Overview
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Oracle
April 9, 202650
5
761 solved
An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?
Statistics questions at Oracle test your ability to reason quantitatively and design rigorous experiments. This Onsite question evaluates your understanding of statistical inference and its application to business decisions.
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 assumptions does this test make, and how would you validate them?
- How would you handle multiple comparisons?
- How would you design a follow-up experiment based on these results?
- What alternative statistical method could you use here?
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Browse Statistics QuestionsSample Answer
Problem Formulation
In this scenario, we are dealing with a hypothesis testing framework. We define our null hypothesis (H0) as 'There is no lift in performance' and our alternative hypothesis (H1) as 'There is a lift in...
Solution Approach
- State the hypotheses: H0: Lift = 0%, H1: Lift = 3%.
- Evaluate the p-value: Given p = 0.08, check against alpha = 0.05.
- Decision rule: Since p > alpha, we do not reject H0 at the 5%...
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