https://github.com/ysayaovong/a-b_testing

https://github.com/ysayaovong/a-b_testing

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/ysayaovong/a-b_testing
• Owner: YSayaovong
• Created: 2024-11-18T16:02:56.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-18T16:04:59.000Z (about 2 months ago)
• Last Synced: 2024-11-18T17:42:10.448Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A/B Hypothesis Testing

This project demonstrates A/B hypothesis testing using Python and Google Colab. 

The analysis compares click rates between two groups (Group A and Group B) 

to determine if the color change affects user behavior.

## Files

- `ab_testing.ipynb`: The Jupyter Notebook with the analysis.

## Statistical Methods Used

- Two-sample t-test

- Chi-square test (optional)

## How to Use

- Open the `.ipynb` file in Google Colab or Jupyter Notebook.

- Run the cells step by step to replicate the analysis.