Explain Bayes’ Theorem and P-Value in Decision-Making
Company: Lyft
Role: Data Scientist
Category: Statistics & Math
Difficulty: easy
Interview Round: Technical Screen
##### Scenario
During a product review, stakeholders ask for a clear explanation of foundational statistical concepts used in decision-making.
##### Question
State Bayes’ theorem and illustrate its use with a simple example. 2. Explain in plain language what a p-value is and what conclusions it does and does not allow.
##### Hints
Focus on prior, likelihood, posterior intuition; p-value as probability of observing data under the null.
Quick Answer: This question evaluates understanding of Bayesian inference and frequentist hypothesis testing—specifically Bayes’ theorem and p-values—assessing statistical reasoning, probabilistic interpretation, and the ability to communicate uncertainty within the Statistics & Math domain for data scientist roles.