GeoGebra Lesson: Visualizing Normal Distributions & Probability Areas

This example demonstrates how a normal distribution changes with parameters and how probability can be interpreted visually as area under the normal curve, supporting related ideas from hypothesis testing. Key concepts include the normal distribution (probability density/curve), mapping shaded regions to probabilities, parameter choices often expressed with rational numbers, and computing probabilities via integration when needed. Construction-wise, the workflow includes labeled on-screen objects—e.g., a text object (text1) to annotate the distribution, key values, and interpretation of the displayed regions—together with standard GeoGebra graphing elements to render the normal curve and associated probability areas. Suitable for late high school through introductory college courses in probability & statistics, and for classroom demonstrations or independent learning focused on understanding the geometry of probability.