Analyzing Bivariate Data with GeoGebra: Hypergeometric Patterns

This GeoGebra practice demonstrates how to visualize and analyze bivariate (two-variable) data by studying the underlying frequency structure and the resulting relationship patterns. It centers on probability & statistics concepts, especially the hypergeometric distribution for count-based dependence arising from sampling without replacement. The construction relies on real-number arithmetic and uses matrix-style organization to manage grouped data and compute relevant statistical quantities. From the provided construction summary, the objects A1,B1 through A12,B12 are used as paired coordinate/count entries (data pairs) to build the bivariate representation (e.g., point mapping or grouped visualization) and to support subsequent numerical analysis derived from the organized data structures. Suitable for high-school advanced learners and early undergraduate students studying statistics, probability modeling, and data visualization with GeoGebra.