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!

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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