Udacity Data Analytics Nanodegree December 2017 - May 2018. Project 4: Analyze A/B Results

Click to preview

For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook 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.

• All code cells can be run without error.
• Docstrings, comments, and variable names enable readability of the code.

• All results from different analyses are correctly interpreted.
• For all numeric values, you should provide the correct results of the analysis.
• Conclusions should include not only statistical reasoning, but also practical reasoning for the situation.