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Introduction
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Schedule
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Commutative Law
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Associative Law
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Distribution Law
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De Morgans Law
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Exercises
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cardinality
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repeated experiments
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sample spaces
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probability rules
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overlapping events
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Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

UofU Data Science
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