Let X and Y be two jointly continuous random variables with joint probability distri- bution function (pdf) fxx (x, y) =CX 1≤ x + y ≤ 2, x ≥ 0, y ≥ 0. (a) Find the constant c. (b) Find the marginal pdfs of X and Y. (c) Obtain the exact value of P(X > Y). (d) Without actually performing the integration (just give the exact limits of the inte- gration), obtain the integral that expresses the P(Y> X2). Please provide a figure to show the region of interest.

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Chapter1: Combinatorial Analysis
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3. Let X and Y be two jointly continuous random variables with joint probability distri-
bution function (pdf)
fxx (x, y) = CX
1≤ x + y ≤ 2, x ≥ 0, y ≥ 0.
(a) Find the constant c.
(b) Find the marginal pdfs of X and Y.
(c) Obtain the exact value of P(X > Y).
(d) Without actually performing the integration (just give the exact limits of the inte-
gration), obtain the integral that expresses the P(Y> X2). Please provide a figure
to show the region of interest.
Transcribed Image Text:3. Let X and Y be two jointly continuous random variables with joint probability distri- bution function (pdf) fxx (x, y) = CX 1≤ x + y ≤ 2, x ≥ 0, y ≥ 0. (a) Find the constant c. (b) Find the marginal pdfs of X and Y. (c) Obtain the exact value of P(X > Y). (d) Without actually performing the integration (just give the exact limits of the inte- gration), obtain the integral that expresses the P(Y> X2). Please provide a figure to show the region of interest.
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