This poject was completed as part of Udacity Data Analyst Nano Degree course requirements.
The project was completed based on the A/B Teest results on new_page and old_page conversions for a e-commerce site. Steps involved during the analysis were page assignment, removing duplicate user ids, hypothesis testing and standard statistical tests, and multiple regression modelling.
Sampling distributions and p-value calcualtions. Z-core tests. Logistic regression Multiple linear regression modelling to assess for interactions of independent variables.
Python, Numpy, Pandas, StatsModels, Scipy Jupyter Notebbok
The conversion rate for the new page was not greater to that of old page. The country of the user did not imapct the rate of conversion between the new and old page.