In this lesson, we’re going to go over problems you might face in interviews focused on A/B testing and statistics.

When facing any type of data science or statistics interview, we have to demonstrate an understanding of both of these fundamental concepts, and one falls into place with the other quite easily. A/B testing is a combination of experimental design and applicational statistics. Comparatively, regular statistics questions are asked in interviews to test your underlying understanding of theory on the subject.

Our focus within this lesson is to get an overarching understanding of how A/B testing and statistics questions are asked in interviews.