Differentiate Type I vs II errors under costs
Company: Uber
Role: Data Scientist
Category: Statistics & Math
Difficulty: hard
Interview Round: Technical Screen
Overview: This question evaluates understanding of hypothesis testing (Type I/II errors), cost-sensitive decision theory, sample size calculation for proportion tests, and multiple-testing corrections within the Statistics & Math domain for a Data Scientist role.