X and Y are random variables with the joint PDF:
f(x,y)= cxy^2 where 0<=x<=9; 0<=y<=9
0 otherwise
find:
- constant c
- P[min(X,Y) <= 4.5]
- P[max(X,Y) <= 6.75]
X and Y are random variables with the joint PDF: f(x,y)= cxy^2 where 0<=x<=9; 0<=y<=9 0...
The random variables X and Y have joint PDF fX,Y(x,y) = {12x2y 0<=x<=c; 0 <= y <= 3 { 0 otherwise (a) FInd the value of C (b) Find the PDF fW(w) where W = X / Y (c) Find the PDF fZ(z) where Z = min(X,Y)
Suppose the joint pdf of random variables X and Y is f(x,y) = c/x, 0 < y < x < 1. a) Find constant c that makes f (x, y) a valid joint pdf. b) Find the marginal pdf of X and the marginal pdf of Y. Remember to provide the supports c) Are X and Y independent? Justify
Let X and Y be continuous random variables with following joint pdf f(x, y): y 0<1 and 0<y< 1 0 otherwise f(x,y) = Using the distribution method, find the pdf of Z = XY.
Suppose X, Y and Z are random variables with joint pdf f(x,y,z) = cxy2z if 0 < x ≤ 2, 0 ≤ y < 1, 0 < z < 1 0 otherwise a.) Find the constant c b.) Calculate P(1 < X ≤ 2, 0.5 ≤ Y < 1) c.) Calculate E(2X+2020) d.) Calculate Var(2X+2020) e.) Calculate E(XZ+2020) I think I understand how to do parts a and c, but I'm less certain of how to proceed on the rest...
Suppose X, Y are random variables whose joint PDF is given by fxy(x, y) 9 { 0 <y <1,0 < x <y y otherwise 0, 1. Find the covariance of X and Y. 2. Compute Var(X) and Var(Y). 3. Calculate p(X,Y).
Two random variables have joint PDF of F(x, y) = 0 for x < 0 and y < 0 for 0 <x< 1 and 0 <y<1 1. for x > 1 and y> 1 a) Find the joint and marginal pdfs. b) Use F(x, y) and find P(X<0.75, Y> 0.25), P(X<0.75, Y = 0.25), P(X<0.25)
#5. Random variables X and Y have joint PDF 6exp[-(2x+3y)] ,x20, y 20 0 , otherwise x20,y20 (a) Find P[X>Y] and P[X +Y s 1 (b) Find P[ min(x.Y)1] (o) Find P| max(x.y)s1 #5. Random variables X and Y have joint PDF 6exp[-(2x+3y)] ,x20, y 20 0 , otherwise x20,y20 (a) Find P[X>Y] and P[X +Y s 1 (b) Find P[ min(x.Y)1] (o) Find P| max(x.y)s1
2. The joint pdf of random variables X and Y is given by f(x.y) k if 0 sysxs2 and f(x,y)-0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Yea X+ b, where a and b are real numbers?
The joint pdf of random variables X and Y is given by f(x.y)-k if 0 s y sx s 2 and f(x,y) =0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Y-a X+ b, where a and b are real numbers?
2. Let X and Y be continuous random variables having the joint pdf f(x,y) = 8xy, 0 <y<x<1. (a) Sketch the graph of the support of X and Y. (b) Find fi(2), the marginal pdf of X. (c) Find f(y), the marginal pdf of Y. () Compute jx, Hy, 0, 0, Cov(X,Y), and p.