Statistical Distributions Visualization

This GeoGebra example demonstrates how to visualize and interactively explore statistical distributions. The core mathematical concepts include probability density functions, cumulative distribution functions, and measures of central tendency (mean, median) and dispersion (standard deviation, variance). Construction details: Use the Function command to define probability density curves, employ Slider objects to dynamically adjust parameters (such as mean μ and standard deviation σ), generate random sample sequences with List and Sequence commands, and create frequency histograms overlaid with theoretical distribution curves using BarChart or Histogram commands. Suitable for high school probability and statistics lessons or introductory university statistics courses, helping students intuitively understand characteristics of common distributions like normal and binomial distributions.