What is the primary goal of A/B Testing in Data Science?
A/B Testing is a hypothesis testing used for a randomized experiment concerning two variables, A and B.
The primary goal of A/B Testing is identifying any changes on the web page for maximizing or increasing the outcome of interest. This is an excellent method for coming up with the best online promotions and other marketing strategies related to any business. It is used for multiple purposes such as website copy, digital ads, or even sales emails.