Let X and Y be two continuous random variables with the joint probability distribution function: S(x, y) = {* + y. 0 SxS 1 and 0sys1 otherwise Suppose that the marginal functions are given by: g(x) = Osxs1 and h(y) = } 0sysi otherwise otherwise If E(XY) = Then Var(X – Y – 9) is equal to: O 24/144 20/144 None of these 131/144

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Chapter1: Combinatorial Analysis
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Let X and Y be two continuous random variables with the joint probability distribution
function:
S(x,y) = {* +y, 0Sx<1 and 0< y<1
otherwise
Suppose that the marginal functions are given by:
0sys1
g(x) = { * +
and h(y) = { y +;
otherwise
otherwise
If E(XY) = Then Var(X – Y – 9) is equal to:
24/144
20/144
None of these
O 131/144
Transcribed Image Text:Let X and Y be two continuous random variables with the joint probability distribution function: S(x,y) = {* +y, 0Sx<1 and 0< y<1 otherwise Suppose that the marginal functions are given by: 0sys1 g(x) = { * + and h(y) = { y +; otherwise otherwise If E(XY) = Then Var(X – Y – 9) is equal to: 24/144 20/144 None of these O 131/144
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