analyze_AB_test_results is an analysis of A/B testing results produced by an e-commerce website. The goal of this analysis is to:
- Help the company understand if they should implement the new page
- Keep the old page
- Or perhaps run the experiment longer
This project was done as part of Udacity's Data Analyst Nanodegree program and demonstrates the following techniques:
- Probability
- Conditional Probability
- Binominal Distribution
- Sampling Distribution and Central Limit Theorem
- Descriptive Statistics
- Inferential Statistics
- Confidence Levels and Intervals
- Hypothesis Testing
- T-tests and A/B test
- Regression
- Logistic Regression
Please see the notebook for further details: https://github.com/Chilliwack/analyze_AB_test_results/blob/master/analyze_AB_test_results.ipynb