Interpret a statistically significant lift of 2% from an experiment

Last updated: August 18, 2025

Quick Overview

An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

DoorDash
Statistics & Math
Data Scientist
DoorDash
August 18, 2025
Data Scientist
Onsite
Statistics & Math
Medium

42

5

699 solved


An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

DoorDash values data-driven decision making. This Onsite 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
Multiple testing correction (Bonferroni, FDR)
Bayesian vs frequentist inference
Hypothesis testing (H0, H1, p-values)
Causal inference basics
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
  • What alternative statistical method could you use here?
  • What if the sample size is very small?
  • How would you design a follow-up experiment based on these results?
  • How would you explain this result to a non-technical audience?
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Sample Answer
Problem Formulation

To analyze the 2% lift reported from the experiment, we start by defining our null hypothesis (H0) and alternative hypothesis (H1).

  • H0: The new intervention (e.g., a promotional offer) does no...
Solution Approach

To determine if the observed 2% lift is statistically significant, we will perform a hypothesis test using the following steps:

  1. Data Collection: Gather data from both control and experimental g...

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