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Calculate Probability of Honest and Relevant Chatbot Answers

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of basic probability (independence and joint event probabilities), expectation calculations for sample counts, and the design and interpretation of hypothesis tests for comparing models.

  • easy
  • Meta
  • Statistics & Math
  • Data Scientist

Calculate Probability of Honest and Relevant Chatbot Answers

Company: Meta

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Onsite

##### Scenario Evaluating a customer-service chatbot: P(honest answer)=0.7, P(relevant answer)=0.8. ##### Question What is the probability that an answer is both honest and relevant if the two events are independent? Given logs of 1,000 answers, how many would you expect to be neither honest nor relevant? Describe how you would run a hypothesis test to compare two LLMs’ relevance rates at α=0.05. ##### Hints Basic probability rules; two-proportion z-test setup and interpretation.

Quick Answer: This question evaluates understanding of basic probability (independence and joint event probabilities), expectation calculations for sample counts, and the design and interpretation of hypothesis tests for comparing models.

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Meta
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Statistics & Math
21
0

Chatbot Evaluation: Honesty and Relevance

Scenario

You are evaluating a customer-service chatbot. Define two events for any given answer:

  • H: the answer is honest, with P(H) = 0.7
  • R: the answer is relevant, with P(R) = 0.8 Assume H and R are independent.

Questions

  1. What is the probability that an answer is both honest and relevant, P(H ∩ R)?
  2. Given logs of 1,000 answers, how many would you expect to be neither honest nor relevant?
  3. Describe how to run a hypothesis test to compare two LLMs’ relevance rates at significance level α = 0.05.

Solution

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