Analyze A/B Test Results

This project is made for udacity Data Analyst Nanodegree.

Introduction

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these tests and their methods.

Project goal

For this project, the goal is to understand the results of an A/B test run by an e-commerce website. The goal of the notebook is to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Project Notebook contents

• Introduction
• Part I - Probability
• Part II - A/B Test
• Part III - Regression
• Conclusion