Tech_Interview_Prep

A/B Testing

Applying hypothesis testing to compare two product/design variants — sample size, statistical power, and the traps of stopping early.

Q1.What is the primary purpose of randomly assigning users to control and treatment groups in an A/B test?

Q2.What is a Sample Ratio Mismatch (SRM) in an A/B test, and why is it a red flag?

Q3.What is a novelty effect in the context of A/B testing?

Q4.Why is it risky to check an A/B test's results repeatedly and stop as soon as it becomes significant ("peeking")?