This is a study project for practice of A/B testing for students of Data Analyst nanodegree by Udacity. Statistical testing and logistic regression were performed in order to decide if company should implement new design of website or keep the old website as it is.
- Jupyter Notebook
- Python 3.6
- Anaconda
- data analysis with Pandas
- hypothesis testing, logistic regression
Null hypothesis stated that conversion rate for old design of website is better or same as new design. Based on not statistically significant results (p-value was too high) from both hypothesis testing and logistic regression I had to keep null hypothesis. In other words, I would not recommend implementation of new design of the website.
- Kamila Hamalcikova
- Udacity
This project is licensed under the MIT License - see the license file for details