Lecture 2: Independence and Conditioning

Name: Lecture 2: Independence and Conditioning
Uploaded: 2025-12-17T16:28:09Z
Duration: 1 h 10 min 58 s
Description: We explain what it means for two events to be independent, and what it means to condition one event on another. We cover the law of Total Probability and Bayes’ rule. We then define random variables and expectations, and explain linearity of expectation.

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Lecture 3: Inclusion-Exclusion

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We explain what it means for two events to be independent, and what it means to condition one event on another. We cover the law of Total Probability and Bayes’ rule. We then define random variables and expectations, and explain linearity of expectation.