Problem 2 Let the two random variables X and Y be independent, with the following Cumulative Distribution Functions (CDFS): x <-2 y < -2 Fx(x) = { (x + 2)² -2 0 1 y >0 We want to: a) Compute and draw the two corresponding pdfs; b) Compute E[X), E[M), 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)

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 29E
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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
y<-2
Fx(x) = -
(x+ 2)2 -2 SxS0;
4
Fy(y) =
y+2) -2 < y < 0
1
x > 0
1
y > 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 y<-2 Fx(x) = - (x+ 2)2 -2 SxS0; 4 Fy(y) = y+2) -2 < y < 0 1 x > 0 1 y > 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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