Overview
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Learn about key concepts in probability theory through a comprehensive lecture covering discrete random variables, with a focus on three fundamental distributions: Bernoulli, Binomial, and Geometric distributions. Explore the mathematical foundations, properties, and practical applications of these probability distributions while gaining insights into sample spaces, random variables, cumulative distribution functions (CDF), and factorial calculations. Master essential statistical concepts that form the backbone of data analysis and probability theory through detailed explanations and practical examples.
Syllabus
Intro
Schedule
Homework Grades
Homework Expectations
Mental Checks
Homework
Sample Space
Random Variables
CDF
Factorials
Factorial
Taught by
UofU Data Science