Analyzing A/B Test Results

This is an A/B testing assignment completed for Udacity's Data Analyst Nano Degree Program. The project consisted of understanding the results of an A/B test run by an e-commerce website and helping the company understand through statistical conclusions if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Objectives

practice working on A/B testing projects and their practical difficulties

perform A/B tests and make recommendations backed by computed inferences

Project Steps & Research Questions:

Data Wrangling:

remove duplicates or records with missing or mismatched values

handle the rows where the landing_page and group columns don't align

Data Analytics:

Compute probabilities of converting:

regardless of page.

Given that an individual received the treatment

Given that an individual received the control page

Perform Hypothesis Testing and calculate p-values

Conduct Logistic Regression