by Thomas Tang
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 this kind of experiment due to its frequency of use.
For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your 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.
PROJECT SPECIFICATION Analyze A/B Test Results
Code Quality
CRITERIA MEETS SPECIFICATIONS Functionality of code
All code cells can be run without error.
Use of Good Coding Practices
Docstrings, comments, and variable names enable readability of the code.
Statistical Analyses
CRITERIA MEETS SPECIFICATIONS Correct Interpretation of Results
All results from different analyses are correctly interpreted.
Correct Values for All Statistical Results
For all numeric values, you should provide the correct results of the analysis.
Statement of Conclusions
Conclusions should include not only statistical reasoning, but also practical reasoning for the situation.
Sources:
http://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_ztest.html
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.join.html
http://knowledgetack.com/python/statsmodels/proportions_ztest/