A/B Testing Project

Overview

This project analyzes A/B test results to determine if there is a statistically significant difference between two groups (control and treatment).

Project Structure

         ab-testing /
                    │ 
                    ├── data/ # Data files 
                            │ 
                            └── ab_test_results.csv # Example A/B test results 
                    ├── src/ 
                           │ 
                           ├── ab_test.py # A/B testing analysis script 
                           │ 
                           └── utils.py # Utility functions 
                    ├── tests/ # Test scripts 
                             │ 
                             └── test_ab_test.py # Unit tests for A/B testing 
                    ├── requirements.txt # Dependencies 
                    └── README.md # Project documentation

Installation

1. Clone the repository:

   git clone https://github.com/karimosman89/ab-testing.git
   cd ab-testing
   

2. Install the required packages:

    pip install -r requirements.txt
   

Usage

1. Prepare your A/B test results in the /data directory and name it ab_test_results.csv.

2. Analyze the A/B test results:

        python src/ab_test.py
   

Testing

Run the unit tests to ensure the utility functions work as expected:

 python -m unittest discover -s tests

License

This project is licensed under the MIT License.