Exploring Lecture 26 Conditional Expectation Continued Statistics 110

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  • And this means so if we take a
  • We prove linearity of
  • We discuss the birthday problem (how many people do you need to have a 50% chance of there being 2 with the same birthday?)
  • We consider the sum of a random number of random variable (e.g., with customers in a store). We then introduce 4 useful ...
  • We see a problem involving

In-Depth Information on Lecture 26 Conditional Expectation Continued Statistics 110

We peek further into the Two Envelope Paradox, and We We show how to think about a We introduce

We introduce the Multinomial distribution, which is arguably the most important multivariate discrete distribution, and discuss its ...

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