Explain Statistical Outputs to Non-Technical Stakeholders

Q: Explain Statistical Outputs to Non-Technical Stakeholders

This question evaluates a data scientist's competence in interpreting and communicating core statistical outputs—such as confidence intervals, limitations of p-values, distribution visualizations, and the bias–variance trade-off—to non-technical stakeholders during A/B test reviews.

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Question

A/B Test Dashboard Interpretation and Core Statistics Concepts

Scenario

You are reviewing an A/B test dashboard for an experiment (e.g., Variant B vs Control A on conversion rate) and must explain statistical outputs to non-technical stakeholders during a technical phone screen.

Questions

What is a confidence interval, and how would you interpret it in an experiment report?
List two shortcomings of relying solely on p-values.
Compare bar chart, box plot, and violin plot for displaying a distribution; give pros and cons for each.
Explain the bias–variance trade-off in model evaluation.

Explain Statistical Outputs to Non-Technical Stakeholders

A/B Test Dashboard Interpretation and Core Statistics Concepts

Scenario

Questions

Solution

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