A/B tests are very commonly performed by data analysts and data scientists. In this project, I am working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should:
Implement the new webpage,
Keep the old webpage, or
Perhaps run the experiment longer to make their decision.
This project consists of the following sections:
Introduction
Part I - Probability
Part II - A/B Test
Part III - Regression