4. If the joint density function of X and Y is glven f(x, y) = (x+ 2y),0
A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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![4. If the joint density function of X and Y is glven
[k(x +2y), 0 <x< 1;1 < y< 2
0, elsewhere
f(x, y) =
a.
Evaluate the value k.
b. Estimate P(X+Y<2).
Find the marginal distribution of X and the marginal distribution of Y.
d. Calculate P (1<y<3/2/x%31/2).
Calculate P (0<x<1/2/y%3D3/2).
Find the expected value of X and the expected value of Y.
g. Determine whether the two random variables are dependent or independent.
C.
e.
f.
h. Find the expected value of g(X, Y) = X/Y3 +X2Y.
i.
Calculate the variance of X and the variance of Y.
Calculate the covariance of the random variables X and Y.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1b52ba71-e896-4f03-8e5f-86f1b591eb53%2F2e1350dd-2661-4c31-84ec-b928d7f20595%2F2r6m906_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. If the joint density function of X and Y is glven
[k(x +2y), 0 <x< 1;1 < y< 2
0, elsewhere
f(x, y) =
a.
Evaluate the value k.
b. Estimate P(X+Y<2).
Find the marginal distribution of X and the marginal distribution of Y.
d. Calculate P (1<y<3/2/x%31/2).
Calculate P (0<x<1/2/y%3D3/2).
Find the expected value of X and the expected value of Y.
g. Determine whether the two random variables are dependent or independent.
C.
e.
f.
h. Find the expected value of g(X, Y) = X/Y3 +X2Y.
i.
Calculate the variance of X and the variance of Y.
Calculate the covariance of the random variables X and Y.
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