An A/B test were conducted and regression models were created for an e-commerce webpage to understand if the new page design attracts more users to buy a product compared to the old one. For the A/B test the null and alternative hypotheses were defined and the sampling dsitribution for the difference in conversion rate was simulated. Multiple linear regression model was also used to find out whether there's a statistical linear relationship between explanatory variables and conversion.
All required data are available in Source folder.
Python codes are available in Code folder.