Random Variables

This module explores the distinction between discrete and continuous uncertainty, introducing the use of calculus to analyze probability density functions. Students learn to calculate expected values, variance, and standard deviation for various distributions, focusing heavily on the Normal Distribution and the empirical rule. By utilizing z-scores and the bell curve, students develop the ability to compare different datasets and make precise judgments about the probability of events occurring in naturally distributed populations.