Interpret mixed results across segments from an experiment
Last updated: July 18, 2025
Quick Overview
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Instacart
July 18, 20258
6
4,840 solved
An experiment shows conflicting results. What conclusions can you draw? What are the caveats?
Instacart 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
- 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 if the sample size is very small?
- What alternative statistical method could you use here?
- How would you handle multiple comparisons?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Browse Statistics QuestionsSample Answer
Problem Formulation
In this experiment, we have two or more segments that show conflicting results in terms of a key performance indicator (KPI) such as conversion rates, purchase frequency, or customer satisfaction scor...
Solution Approach
- Data Collection: Gather data from the experiment, ensuring that sample sizes for each segment are adequate.
- Descriptive Statistics: Calculate means and standard deviations for both segm...
Submit Your Answer
