Analyzing A/B Test Results Project

In this project, I worked to understand the results of an A/B test run by an e-commerce website.

The company has developed a new web page in order to try and increase the number of users

who "convert," meaning the number of users who decide to pay for the company's product. My

goal was to work through Jupyter notebook environment to help the company understand if they

should implement this new page, keep the old page, or perhaps run the experiment longer to

make their decision.