Calculate expected value for A/B test results
Last updated: January 23, 2026
Quick Overview
Given the following scenario about revenue per session, calculate the the p-value.
Robinhood
January 23, 20261
7
114 solved
Given the following scenario about revenue per session, calculate the the p-value.
Analytics questions at Robinhood evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Take-home Project 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
- What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
- How would you handle an experiment where the control and treatment groups are different sizes?
- What if you discover a bug in the logging during the experiment?
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Browse Analytics QuestionsSample Answer
Problem Setup
In this A/B test scenario, we want to determine if the new feature implemented by Robinhood leads to a statistically significant increase in revenue per session compared to the control group. To frame...
Methodology
To calculate the p-value for the A/B test, we will use a two-sample t-test to compare the means of the revenue per session from both groups. This test is appropriate because we assume that the revenue...
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