How Do Conditional Probabilities and Expectations Relate in Statistics?

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The discussion focuses on two key statistical concepts: the relationship between conditional probabilities and expectations. The first point involves demonstrating that the probability of Y equaling a specific value can be expressed as a sum of conditional probabilities of Y given X multiplied by the probabilities of X. The second point addresses the expectation of Y, which can be shown to equal the expected value of the conditional expectation of Y given X. Participants emphasize the importance of proper research and understanding of terminology in statistics to solve these problems. Clear communication of mathematical expressions is also highlighted as crucial for effective discussion.
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Homework Statement


Consider two random variables X and Y. Suppose that Y takes on k values yi,...,yk and X takes l values xi,...,xl

Hey, I am supposed to show that
1) Pr(Y = yi = \sum,from 1 to l Pr(Y = yi(givrn)(X=xi)Pr(X=xi)


and
2) E(Y) = E(E(Y(given)X)


I am not sure where to start on neither of them,
 
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You need to learn how to do a little research, bro. That second problem is worked out completely on a wikipedia page, which I was able to find in about 20 seconds. I will let you think about what keywords to search for (you should at least know what E(Y) is called). As for the first problem, I'm guessing that you didn't type it in correctly because I can't parse what you're trying to say. Try again?
 
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