IIAndrewII/Analyze_ab_test_results

Analyze A/B Test Results

This notebook is organized into the following sections:

• Introduction
• Part I - Probability
• Part II - A/B Test
• Part III - Regression
• Final Check
• Submission

Introduction

A/B tests are very commonly performed by data analysts and data scientists. For this project, I will be working to understand the results of an A/B test run by an e-commerce website. My goal is to work through this notebook to help the company understand if they should:

• Implement the new webpage,
• Keep the old webpage, or
• Perhaps run the experiment longer to make their decision.