Calculate probability for A/B test results
Last updated: January 11, 2026
Quick Overview
Given the following scenario about user conversion, calculate the the p-value.
Tesla
January 11, 202652
5
424 solved
Given the following scenario about user conversion, calculate the the p-value.
Analytics questions at Tesla evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Phone Screen question tests your end-to-end analytical thinking.
What the Interviewer Expects
- Define clear success metrics aligned with business goals
- Propose a basic experimental design with control and treatment groups
- Interpret results correctly and draw reasonable conclusions
- Identify obvious confounding variables
Key Topics to Cover
How to Approach This
- Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
- Run experiments long enough to account for novelty effects and weekly seasonality.
- Use funnel analysis to identify where users drop off for maximum optimization impact.
- Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
- Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
- What if you discover a bug in the logging during the experiment?
- How would you handle seasonality in your experiment?
- How would you handle interference between treatment and control?
- What would you do if a stakeholder wants to end the experiment early because initial results look good?
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Browse Analytics QuestionsSample Answer
Problem Setup
The analytical question here is to calculate the p-value for the A/B test results regarding user conversion rates at Tesla. To do this, we need data on the conversion rates of two groups: a control gr...
Methodology
For this problem, we will use a two-proportion z-test to compare the conversion rates of the two groups. The null hypothesis (H0) states that there is no difference in conversion rates between the con...