Problem 5.2 The continuous random variables X and Y have joint PDF fx,x(x, y) = { cr*y, -1

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Chapter1: Combinatorial Analysis
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Problem 5.2 The continuous random variables X and Y have joint PDF
fx,y(x, y) = { crʻy, -1<x<1,0 < y < 2;
0, otherwise.
(a) Determine the value of the constant c that will satisfy the normalization property. Set c to
this value for the remainder of the problem.
(b) Calculate P[X < 0,Y < 1].
(c) What is the probability that Y is less than X?
(d) Calculate P [min(X, Y) < .
(e) Calculate the marginal PDFS fx(x) and fy(y).
(f) Compute the expected values E[X]and E[Y].
(g) Compute E[2X + 3Y ].
(h) Are X and Y independent?
(i) Compute E[X*y].
(j) What is the covariance of X and Y?
(k) Compute Var[2.X + 3Y].
Transcribed Image Text:Problem 5.2 The continuous random variables X and Y have joint PDF fx,y(x, y) = { crʻy, -1<x<1,0 < y < 2; 0, otherwise. (a) Determine the value of the constant c that will satisfy the normalization property. Set c to this value for the remainder of the problem. (b) Calculate P[X < 0,Y < 1]. (c) What is the probability that Y is less than X? (d) Calculate P [min(X, Y) < . (e) Calculate the marginal PDFS fx(x) and fy(y). (f) Compute the expected values E[X]and E[Y]. (g) Compute E[2X + 3Y ]. (h) Are X and Y independent? (i) Compute E[X*y]. (j) What is the covariance of X and Y? (k) Compute Var[2.X + 3Y].
Q3// 'The joint probability mass function of two discrete random variables X and Y is given
SK(2x, + y) x, = 1, 2; y, = 1. 2
otherwise
where k is a constant.
(a) Find the value of k.
(b) Find the marginal pmf's of X and Y.
(c) Are X and Y independent?
Transcribed Image Text:Q3// 'The joint probability mass function of two discrete random variables X and Y is given SK(2x, + y) x, = 1, 2; y, = 1. 2 otherwise where k is a constant. (a) Find the value of k. (b) Find the marginal pmf's of X and Y. (c) Are X and Y independent?
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