Analyze AB test results

This project was completed as part of the course requirements of Udacity's Data Analyst Nanodegree certification.

Overview

The project conducted A/B testing of user conversions on an old and new wepage.

Steps to prepare data for testing:

• included handling mismatched condition and page assignment
• removing duplicate ids
• removing null rows if present
• datatype of all the columns

Statistical Analysis

• Bootstrapping sampling distributions and p-value calculations
• hypothesis testing via bootstrapping
• Z-core tests
• Logistic regression
• Multiple linear regression modelling to assess for interactions of independent variables

Technologies Used

• Python
• Numpy
• Pandas
• Matplotlib
• StatsModels
• Scipy
• LaTex
• Jupyter Notebook

Key Findings

• The conversion rate for the new page was not superior to that for the old page
• The country of the user did not impact the rate of conversion between the new and the old page
• The timestamp did not impact the rate of conversion between the new and the old page