(PS25) Conditional Expectation and Probability

In this video, we continuous our exploration of elementary probability and build onto our concepts of Bayes' rule and the law of total probability, and introduce the concepts of conditional distribution functions, conditional expectation, and conditional variance. We work through a few examples, present several theorems associated to conditional expectation, and give a couple important principles that are associated to those concepts.

*--The Let's Learn, Nemo Community--*

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