Consider the joint pdf of the random variables X and Y :
1/8, if 0 ≤ y ≤ 4, y ≤ x ≤ y + 2
f (x, y) = 0, otherwise
(i) Draw the region where f (x, y) ̸= 0. Shade its area.
(ii) Compute the probability P (X + Y ≤ 2).
(iii) Compute the marginal pdf f1(x) of X. Specify clearly its support, i.e., the subset of the real line such that f1(x) ̸= 0.
(iv) Compute the marginal pdf f2(y) of Y . Specify clearly its support, i.e., the subset of the real line such that f2(y) ̸= 0.
Consider the joint pdf of the random variables X and Y : 1/8, if 0 ≤...
1. Consider a pair of random variables (X, Y) with joint PDF fx,y(x, y) 0, otherwise. (a) 1 pt - Find the marginal PDF of X and the marginal PDF of Y. (b) 0.5 pt - Are X and Y independent? Why? (e) 0.5 pt - Compute the mean of X and the mean of Y.
Please answer the question clearly 8. Consider the random variables X and Y with joint probability density (PDF) given by f(r,y) below 2, r > 0, y > 0, i otherwise f(z, y)= 0, (a) Draw a graph of all the regions for values of X and Y you need to examine like the one given in Figure 10 on page 87. Label each one of the regions and clearly specify the values for r and y in each of...
4. Let X and Y be random variables of the continuous type having the joint pdf f(x,y) = 1, 0<x< /2,0 <y sin . (a) Draw a graph that illustrates the domain of this pdf. (b) Find the marginal pdf of X. (c) Find the marginal pdf of Y. (d) Compute plx. (e) Compute My. (f) Compute oz. (g) Compute oz. (h) Compute Cov(X,Y). (i) Compute p. 6) Determine the equation of the least squares regression line and draw it...
5.5.5 X and Y are random variables w the joint PDF X,Y (z, y) = 0 otherwise. (a) What is the marginal PDF fx()? (b) What is the marginal PDF fr(v)?
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
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.
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?
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.
X and Y are random variables with the joint PDF fx.^(t,y)-65536 0 otherwise. (a) What is the marginal PDFfx(x)? ㄑㄨ 8 5xA4/65536 fx(x) 0 otherwise (b) What is the marginal PDF fy(v)? (5 * 843)/(3*655 0 〈y〈 64 fy(y) = 0 otherwise
Suppose X, Y are random variables whose joint PDF is given by . 1 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).