Understanding the results of an A/B test run by an e-commerce website
This project was done as part of Udacity's Data Analyst Nanodegree.
A/B tests are very commonly performed by data analysts and data scientists.For this project, we will be working to understand the results of an A/B test run by an e-commerce website. Our goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
- Introduction
- Part I - Probability
- Part II - A/B Test
- Part III - Regression
- Conclusions and limitations