Problem 2 Let the two random variables X and Y be independent, with the following Cumulative Distribution Functions (CDFS): x < -2 x<-2 1 (x+2) -2 0 Fx(x) = Fy(y) = 1 1 x >0 We want to: a) Compute and draw the two corresponding pdfs; b) Compute E[X], E[Y), var(X), var(Y); c) Compute the mean and variance of the r.v. Z = X+Y; d) Let V = 4X + 2; compute and draw the pdf of V; compute E[V] and var(V)

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Problem 2
Let the two random variables X and Y be independent, with the following Cumulative
Distribution Functions (CDFS):
x < -2
x<-2
1
Fx(x) = (x + 2)2 -2 <x<0 ;
Fy(y) =
(x + 2) -2 < x<0
1
x >0
1
x >0
We want to:
a) Compute and draw the two corresponding pdfs;
b) Compute E[X], E[Y), var(X), var(Y);
c) Compute the mean and variance of the r.v. Z = X+Y;
d) Let V = 4X + 2; compute and draw the pdf of V; compute E[V] and var(V)
Transcribed Image Text:Problem 2 Let the two random variables X and Y be independent, with the following Cumulative Distribution Functions (CDFS): x < -2 x<-2 1 Fx(x) = (x + 2)2 -2 <x<0 ; Fy(y) = (x + 2) -2 < x<0 1 x >0 1 x >0 We want to: a) Compute and draw the two corresponding pdfs; b) Compute E[X], E[Y), var(X), var(Y); c) Compute the mean and variance of the r.v. Z = X+Y; d) Let V = 4X + 2; compute and draw the pdf of V; compute E[V] and var(V)
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