For this project, 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. i used 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.
- Inferential Statistics
- Logistic regression
- Z-core test
- Python, Numpy, Pandas, Matplotlib, StatsModels, Scipy
- Jupyter Notebook
From the probability, A/B testing and logistic regression results, it shows that there is no sufficient evidence to suggest that the new page increase the conversion rate than the old one.