Explain and interpret p-values correctly

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Quick Overview

This question evaluates statistical inference and experimental-design competencies, focusing on a precise definition and correct interpretation of p-values along with how sample size, effect size, variance, multiple testing, sequential peeking, and imbalanced or delayed labels affect experimental conclusions in a fraud-detection context.

Explain and interpret p-values correctly

Company: PayPal

Role: Data Scientist

Category: Statistics & Math

Difficulty: easy

Interview Round: Technical Screen

Overview: This question evaluates statistical inference and experimental-design competencies, focusing on a precise definition and correct interpretation of p-values along with how sample size, effect size, variance, multiple testing, sequential peeking, and imbalanced or delayed labels affect experimental conclusions in a fraud-detection context.

Read the full PayPal Data Scientist interview experience this question came from

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PayPal
Jan 17, 2026
easyData ScientistTechnical ScreenStatistics & Math
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