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What is the expected value of the expected of x conditional of y? $E(E(X|Y))$ and $E(E(X^2|Y))$?

I was doing this question. And got this result. But got stumped at the next question. Which asks me to find the expected value of the conditional probability.

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I guessed and computed it like this. Getting $E(E(X|Y)) = 2.020$

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I guessed and got $E(E(X^2|Y))= 4.840$

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    $\begingroup$ Maybe you could clean up a bit and remove these non-self explanatory Excel screen shots and replace them with two lines of computations each. $\endgroup$
    – sheß
    Commented Sep 4, 2015 at 8:59
  • $\begingroup$ But sheb they explain my working out. I don't think it's better to include some form of evidence of effort and reasoning. $\endgroup$
    – Ivan
    Commented Sep 5, 2015 at 13:22
  • $\begingroup$ It's far easier to read a calculation in $\LaTeX$ than it is to read an Excel sheet. $\endgroup$
    – Silverfish
    Commented Nov 7, 2015 at 13:41
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    $\begingroup$ The characterization in this question is not quite right: "$E[E[X^2|Y]]$" asks not for the expectation of a "conditional probability"; rather, it asks for the expectation of a random variable (namely, the variable $E[X^2|Y]$). There's nothing new in that: the calculation is carried out exactly as it would be with any random variable. $\endgroup$
    – whuber
    Commented Nov 7, 2015 at 14:55

1 Answer 1

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Your parentheses do not match, almost nowhere, this makes your question ambiguous. If you mean $E_Y(E_X(X|Y))$, then your answer is the law of iterated expectations.

Basically $E_Y(E_X(g(X)|Y))=E(g(X))$

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  • $\begingroup$ So it's just E[E(X^2|Y)] = E(X^2) = 1*0.34 + 4*0.51+9*0.15? which is also = 4.841 And E[E(X|Y)] = E(X) = 1*0.34 + 2*0.51+3*0.15 which is also 2.020 $\endgroup$
    – Ivan
    Commented Sep 4, 2015 at 8:44
  • $\begingroup$ Sheb? responds plox how's this? $\endgroup$
    – Ivan
    Commented Sep 5, 2015 at 13:20

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