Analyze A/B Test Results

This project was completed through Udacity's Data Analyst Nanodegree certification.

Overview

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

Procedure:

• Read data into a pandas Dataframe
• Handle Mismatched and duplicate records.
• Preform hypothesis, bootstrapping, Z-test and logistic regression.
• Determine if our P values are significant enough for further investigation.

Tech

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

Key Findings

• None of the variables have significant p-values.
• We will fail to reject the null.
• Not enough evidence to claim interaction between country and page received that on the basis of country there are more conversions.
• Everything appears to be working just fine, don’t fix what is not broken.