Interactive A/B Testing Dashboard

This repository contains a Streamlit web application for performing A/B testing analysis using both Frequentist and Bayesian (Monte Carlo-based) methods. It supports simulated and predefined test datasets and provides statistical metrics, visualizations, and multi-metric comparisons.

Features

• Simulate or load A/B test data
• Frequentist Z-Test analysis
• Bayesian-style posterior comparison using Monte Carlo (Beta distribution)
• Conversion rate visualizations over time
• Multi-metric evaluation (revenue, session time)
• Streamlit interactive interface

Setup Instructions

Run locally with Python

1. Clone the repository:

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