Explain Statistical Outputs to Non-Technical Stakeholders
Company: Amazon
Role: Data Scientist
Category: Statistics & Math
Difficulty: medium
Interview Round: Technical Screen
##### Scenario
You are reviewing an A/B test dashboard and must explain statistical outputs to non-technical stakeholders.
##### Question
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. Explain the bias-variance trade-off in model evaluation.
##### Hints
Focus on interval meaning, type I error, effect size, visualization fidelity, and over/underfitting concepts.
Quick Answer: 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.
