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This 15-minute educational video explores joint probability distributions, explaining how they quantify the relationship between two random variables X and Y. Learn through practical examples and motivations before diving into the concept of independence in joint distributions, where P(X=x,Y=y) = P(X=x)P(Y=y). Produced at the University of Washington with funding from the Boeing Company, the lecture provides a clear breakdown of this fundamental statistical concept with a structured approach that begins with introductory concepts and concludes with independence principles.
Syllabus
00:00 Intro
01:22 Examples & Motivation
09:49 Independence in Joint Distributions
14:02 Outro
Taught by
Steve Brunton