Monte Carlo Pi Approximation
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This example demonstrates the Monte Carlo method for approximating Pi using probability and random variables. It involves core concepts like probability & statistics, geometric area, and random experiments. Constructed using GeoGebra commands Polygon and Sum. Ideal for high school students learning about stochastic processes in mathematics.
GeoGebra Commands & Parameters
Polygon((-1, -1), (1, -1), (1, 1), (-1, 1)) → q1, f, g, h, iSum(Zip[If[Distance[M, (0, 0)] ≤ 1, 1, 0], M, mylist]) → inside