Distribution Functions

A distribution function describes how the values of a random variable are spread out or distributed across possible outcomes. It provides the probability that the variable will take on a value less than or equal to a specific point. Think of it as a way to understand the likelihood of different results within a dataset or random process. For example, it shows the chance that a student's test score is below a certain level. Distribution functions are fundamental in statistics for analyzing uncertainty and making predictions based on data.