Hypergeometric Distribution: Probability Calculation via Parameter Sweep

This example demonstrates how to visualize and compute probabilities for a hypergeometric distribution under sampling without replacement. It highlights the probability model in terms of the finite population parameters (N, K, n, k), and uses the distribution’s shape behavior (including typical symmetry/mean-related characteristics) to help learners interpret results. In GeoGebra construction, the key idea is to generate the needed parameter grid or k values using Sequence, then automatically determine the relevant plotting bounds with Min and Max so the resulting probability representation (e.g., graph/table-like elements) covers the full meaningful range. Suitable for high school and early undergraduate probability & statistics courses, and for classroom demonstrations or self-study on using GeoGebra to connect formulas with dynamic computation.