Determine the value of c that makes the function f(x,y) = cxy a joint probability density function over the range 0<x<3 and 0<y<x.
this needsto be solved for c. ajoint probability must add up to 1.
=(c/2)
=(c/2)34/4 =1 or
c=8/34 =8/81
Random variables X and Y share a joint probability density function: f(x,y) сух over the range 0< x <4 and 1 < y 5 otherwise Determine the following a. Value of c b. Marginal probability density function of X For the remaining parts of the problem, explain how you would determine the required information, including in your answer any necessary equations. Integration is not required for the remaining parts of this question; provided any required integrals are completely defined with...
Let X and Y be two random variables with the joint probability density function: f(x,y) = cxy, for 0 < x < 3 and 0 < y < x a) Determine the value of the constant c such that the expression above is valid. b) Find the marginal density functions for X and Y. c) Are X and Y independent random variables? d) Find E[X].
2. f(x,y) = (xy a joint probability density function over the range 0 SX S4 and 0 Sy sx. Then, determine the following: a) P(x < 1,Y <2) b) P(1<x<2) c) P(Y>1)
Determine the value of c that makes the function f (x, y) = cxy a oint probability density function over the range 0 < x < 3 and 0 < y < x c= Round your answer to four decimal places (e.g. 98.7654) Determine the following: (a) P(X 1.4,Y < 2.1)- Round your answer to three decimal places (e.g. 98.765). Round your answer to three decimal places (e.g. 98.765) (c) P(Y> 1)= Round your answer to three decimal places (e.g....
5. Let the joint probability density function of X and Y be given by, f(x,y) = 0 otherwise (a) Find the value of A that makes f (x, y) a proper probability density function (b) Calculate the correlation coefficient of X and Y. (c) Are X and Y independent? Why or why not?
The joint probability density function of the random variables X, Y, and Z is (e-(x+y+z) f(x, y, z) 0 < x, 0 < y, 0 <z elsewhere (a) (3 pts) Verify that the joint density function is a valid density function. (b) (3 pts) Find the joint marginal density function of X and Y alone (by integrating over 2). (C) (4 pts) Find the marginal density functions for X and Y. (d) (3 pts) What are P(1 < X <...
A joint probability density function is given by f(x,y)-c-x(2-x-y), for 0 < x < 1 and 0 < y < 1. Find the value of c to make this a valid density function. A joint probability density function is given by f(x,y)-c-x(2-x-y), for 0
the joint probability density function is given by 1. The joint probability density function (pdf) of X and Y is given by fxy(x,y) = A (1 – xey, 0<x<1,0 < y < 0 (a) Find the constant A. (b) Find the marginal pdfs of X and Y. (c) Find E(X) and E(Y). (d) Find E(XY).
2. Let X and Y be continuous random variables with joint probability density function fx,y(x,y) 0, otherwise (a) Compute the value of k that will make f(x, y) a legitimate joint probability density function. Use f(x.y) with that value of k as the joint probability density function of X, Y in parts (b),(c).(d),(e (b) Find the probability density functions of X and Y. (c) Find the expected values of X, Y and XY (d) Compute the covariance Cov(X,Y) of X...
1. (10) Suppose the random variables X and Y have the joint probability density function 4x 2y f(x, y) for 0 x<3 and 0 < y < x +1 75 a) Determine the marginal probability density function of X. (6 pts) b) Determine the conditional probability of Y given X = 1. (4 pts)