Learn fundamental probability and statistics concepts in this university lecture covering essential set theory rules, probability definitions, and sample space analysis. Master commutative, associative, and distribution laws while exploring De Morgan's Law through practical exercises. Dive into cardinality concepts, analyze repeated experiments, and understand probability rules for overlapping events. Work through multiple examples involving repeated trials and permutations to reinforce understanding of equally likely sample spaces.
Probability and Statistics: Set Rules and Basic Probability Concepts - Lecture 2
Overview
Syllabus
Introduction
Schedule
Commutative Law
Associative Law
Distribution Law
De Morgans Law
Exercises
cardinality
repeated experiments
sample spaces
probability rules
overlapping events
Zoom rooms
Taught by
UofU Data Science
