Interpret a statistically significant lift of 2% from an experiment

Last updated: June 13, 2026

Quick Overview

An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?

Anduril
Statistics & Math
Data Scientist
Anduril
June 13, 2026
Data Scientist
Phone Screen
Statistics & Math
Easy

30

6

4,927 solved


An experiment shows a 3% lift with p=0.08. What conclusions can you draw? What are the caveats?

This statistics question from Anduril's Phone Screen tests your ability to apply mathematical reasoning to practical problems. The interviewer expects precise definitions, correct methodology, and awareness of assumptions and limitations.

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
Conditional probability and Bayes theorem
Probability distributions
Bayesian vs frequentist inference
Causal inference basics
Regression analysis
How to Approach This
  1. Define your hypotheses (H0 and H1) clearly before performing any test.
  2. Calculate required sample size BEFORE running an experiment, using power analysis.
  3. Remember the Central Limit Theorem: sample means become approximately normal with large n.
  4. Watch for Simpson's paradox. Always segment data by key dimensions.
  5. Distinguish between statistical significance and practical significance.
Possible Follow-up Questions
  • How would you handle multiple comparisons?
  • What alternative statistical method could you use here?
  • What assumptions does this test make, and how would you validate them?
  • What if the sample size is very small?
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