STA 112 Concepts of Probability and Random Variables

Description

This resource introduces fundamental concepts of probability theory and random variables. It covers basic probability definitions such as random experiments, sample spaces, events, and the axioms of probability. The material then differentiates between discrete and continuous random variables, exploring their respective probability mass functions (PMF) and probability density functions (PDF). Students will learn to calculate probabilities for various events, understand conditional probability, and apply addition and multiplication laws. This note is designed for undergraduate students in introductory statistics or probability courses, providing a solid foundation for further study in quantitative analysis.