Suppose $X \sim Bin(n, p_1)$, and $Y|X \sim Bin(m, p_2)$, and I want to calculate E(Y|X).
I can start this off:
$E(Y|X) = \sum_x xP(Y|X)$
$= \sum_x x {x \choose y} p_2^y (1-p_2)^{(x-y)}$
but now what?
Suppose $X \sim Bin(n, p_1)$, and $Y|X \sim Bin(m, p_2)$, and I want to calculate E(Y|X).
I can start this off:
$E(Y|X) = \sum_x xP(Y|X)$
$= \sum_x x {x \choose y} p_2^y (1-p_2)^{(x-y)}$
but now what?
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If $Y|X \sim Bin(m, p_2)$, then $E(Y|X)=mp_2$. The fact it is a conditional statement is irrelevant.