4.4-1. Let f(x, y) = (3/16)xy²,0 ≤ x ≤ 2,0 ≤ y ≤ 2, be the joint pdf of X and Y. (a) Find fx(x) and fr(y), the marginal probability density functions. (b) Are the two random variables independent? Why or why not? (c) Compute the means and variances of X and Y.

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4.4-1. Let f(x, y) = (3/16)xy2, 0≤x≤ 2,0 ≤ y ≤ 2, be
the joint pdf of X and Y.
(a) Find fx(x) and fy(y), the marginal probability density
functions.
(b) Are the two random variables independent? Why or
why not?
(c) Compute the means and variances of X and Y.
(d) Find P(X ≤ Y).
Transcribed Image Text:4.4-1. Let f(x, y) = (3/16)xy2, 0≤x≤ 2,0 ≤ y ≤ 2, be the joint pdf of X and Y. (a) Find fx(x) and fy(y), the marginal probability density functions. (b) Are the two random variables independent? Why or why not? (c) Compute the means and variances of X and Y. (d) Find P(X ≤ Y).
4.4-1 (a) fx(x) = x/2, 0≤x≤2: fy(y) = 3y²/8, 0≤ y ≤
2;
(b) Yes, because fx(x)fy(y) = f(x,y);
(c) x = 4/3: y = 3/2; o
(d) 3/5.
= 2/9:03 = 3/20;
Transcribed Image Text:4.4-1 (a) fx(x) = x/2, 0≤x≤2: fy(y) = 3y²/8, 0≤ y ≤ 2; (b) Yes, because fx(x)fy(y) = f(x,y); (c) x = 4/3: y = 3/2; o (d) 3/5. = 2/9:03 = 3/20;
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