A/B tests are very commonly performed by data analysts and data scientists.
For this project, you will be working 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. Your goal is to work through this notebook 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.
This project is the third project of the Data Analyst Nanodegree Program of Udacity.
To run this report first you need to install the following libraries.
Use the package manager pip to install the following packages.
pip install numpy
pip install pandas
pip install matplotlib
pip install seaborn
pip install statsmodels
Another option is to install Anaconda and all this packages are already installed.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
This project is under the license MIT.