Monty Hall Simulation

This project simulates the famous Monty Hall Problem, using a web interface built with Streamlit. The Monty Hall problem is a probability puzzle that demonstrates how switching your choice can improve your chances of winning a car over a goat.

Project Structure

The project consists of two main parts:

1. Monty Hall Simulation (monty_hall.py): This Python script runs the Monty Hall game simulation. The function monty_hall_game takes two parameters:

   • switch_doors: A boolean flag indicating whether the player switches doors.
   • n: The number of simulations to run.

   The function returns the probability of success (winning a car) based on the given strategy (switching or not).

2. Streamlit App (app.py): This script builds the user interface using Streamlit. Users can:

   • Input the number of simulations to run.
   • Visualize the winning percentages for both strategies (switching vs. not switching) in real-time.

How to Run the Project

Prerequisites

Make sure you have the following installed:

• Python 3.x
• Streamlit

Installation

1. Clone the repository or download the files.
2. Install the required libraries:

   pip install streamlit