About this Simulation

This simulation demonstrates how the Monte Carlo method can estimate the value of PI through random point sampling. Learners generate random points within a square and circle boundary, then analyze the ratio of hits to total points to approximate PI. By adjusting parameters and observing convergence patterns, students explore the relationship between sample size and estimation accuracy.

Learning objectives: Understand how geometric probability relates to PI estimation | Apply the Monte Carlo method to solve mathematical problems | Investigate how sample size affects the accuracy of statistical approximations