Interpret no significant difference from an experiment

Last updated: November 7, 2025

Quick Overview

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

Waymo
Statistics & Math
Data Scientist
Waymo
November 7, 2025
Data Scientist
Take-home Project
Statistics & Math
Medium

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

Statistics questions at Waymo test your ability to reason quantitatively and design rigorous experiments. This Take-home Project question evaluates your understanding of statistical inference and its application to business decisions.

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
Multiple testing correction (Bonferroni, FDR)
Power analysis and sample size calculation
Hypothesis testing (H0, H1, p-values)
Causal inference basics
Central Limit Theorem
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 design a follow-up experiment based on these results?
  • What if the sample size is very small?
  • How would you handle multiple comparisons?
  • How would you explain this result to a non-technical audience?
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Sample Answer
Problem Formulation

In this experiment, we are testing whether a new feature implemented by Waymo has a significant impact on user engagement. We define the null hypothesis (H0) as 'the new feature does not lead to any c...

Solution Approach
  1. Hypothesis Testing: We start with the null hypothesis (H0) of no difference and the alternative hypothesis (H1) of a 3% lift.
  2. Determine Significance Level: Commonly, a significance lev...

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