Calculate variance for A/B test results
Last updated: April 15, 2026
Quick Overview
Given the following scenario about revenue per session, calculate the the p-value.
Mastercard
April 15, 20260
13
1,808 solved
Given the following scenario about revenue per session, calculate the the p-value.
Analytics questions at Mastercard 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
- Design a rigorous experiment with proper randomization and sample size calculation
- Define primary and guardrail metrics with clear rationale
- Address novelty effects, network effects, and interference
- Segment results appropriately and identify heterogeneous treatment effects
- Propose follow-up analyses when results are ambiguous
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
- How would you handle seasonality in your experiment?
- How would you handle an experiment where the control and treatment groups are different sizes?
- What would you do if a stakeholder wants to end the experiment early because initial results look good?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Browse Analytics QuestionsSample Answer
Problem Setup
The analytical question at hand is to calculate the p-value for revenue per session from an A/B test conducted by Mastercard. We need to understand if there is a statistically significant difference b...
Methodology
To calculate the p-value, we will use a two-sample t-test. This test is suitable as it compares the means of two independent groups (Group A and Group B) to determine if they are significantly differe...
Submit Your Answer
