How do I approach Statistics & Math interview questions?

Statistics & Math questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master statistics & math interviews.

What difficulty level is this interview question?

This is a easy difficulty Statistics & Math question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Probability a negative review came from a lazy reviewer

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's understanding of Bayesian inference and conditional probability, focusing on computing posterior probabilities using Bayes' theorem.

Bayesian posterior: Did a negative review come from a lazy reviewer?

Context and assumptions

Reviewer types in the population:
- Lazy reviewers: 20% of all reviewers; they never leave negative feedback (i.e., always positive).
- Careful reviewers: 80% of all reviewers; they leave positive feedback 60% of the time and negative 40% of the time.

Question

Given that you observe a negative review, what is the probability it was written by a lazy reviewer? (Hint: use Bayes' theorem.)

Solution

Show

Comments (0)

Loading comments...

Browse More Questions

More Statistics & Math•More Meta•More Data Scientist•Meta Data Scientist•Meta Statistics & Math•Data Scientist Statistics & Math