A/B Testing Simulator
for Different Distributions (T-test)

This web application simulates A/B t-testing scenarios across various probability distributions, allowing you to explore the distribution of samples, means of means, and p-values.

How It Works

• Experiment Setup: Choose a distribution, set parameters, and define experiment settings.
• Simulation: Run the experiment to generate data based on your chosen parameters.
• Visualization: Explore interactive plots of sample distributions, means distributions, and p-values.
• Interpretation: Analyze the results to understand how various factors influence A/B testing outcomes.

This application utilizes Python, Flask, and matplotlib to create dynamic visualizations tailored to your experiment configurations. Start exploring by setting up your A/B test simulation above!

Article with Experiment Results Analysis and Detailed Explanation on Medium Post.