Calculate conditional probability for A/B test results
Last updated: January 25, 2026
Quick Overview
Given the following scenario about user conversion, calculate the the p-value.
Meta
January 25, 202664
5
1,421 solved
Given the following scenario about user conversion, calculate the the p-value.
Analytics questions at Meta evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Technical 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?
- 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 at hand is to calculate the p-value for the conversion rates from an A/B test conducted by Meta. We need to determine whether the difference in conversion rates between the con...
Methodology
To calculate the p-value, we will use a two-proportion z-test. This statistical test compares the conversion rates of two independent groups (A and B) to determine if there is a significant difference...
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