In this video, I'm going to talk about a few mistakes that people often make when interpreting A/B testing results. You may often encounter these questions during an interview for data scientist positions. Want to know what these mistakes are and how to solve these questions correctly? Stay tuned!

Choosing the Right Metrics for A/B Testing
https://www.youtube.com/watch?v=SuXc5ckvlJ8

A/B Testing "Real-Life" Example: A Step by Step Walkthrough
https://www.youtube.com/watch?v=VuKIN9S8Ivs

Data Scientists Must Know: A/B Testing Fundamentals
https://www.youtube.com/watch?v=VpTlNRUcIDo
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🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet
🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet
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Contents of this video:
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0:00 Overview
1:26 Data Scientists' Roles
1:48 Data Peeking
3:40 Multiple Testing Problem
8:49 Lack of Statistical Power