Given a density function defined as:
1) Find the density function of the following variables, what are the types of distribution?
X, Y, X|Y=y, Y|X=x
2)find E(Y|X=x) and E(X|Y=y)
3)Calculate E(X) from (2)
Given a density function defined as: 1) Find the density function of the following variables, what...
There are random variables X and Y with a combined density function as: 1) Find the constant c. (Hint: Find out the distribution of Y and extract c from it) 2)Show that fxy(x,y) = el se We were unable to transcribe this image
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
(1 point) 3. Let X and Y be random variables with a joint probability density function f(z, y)e (a)Find the marginal distribution functions of X and Y, respectively. i.e. Find f(z) and f(y) f(x)- elsewhere (b) Identify the distribution of Y. What is the E(Y) and SD(Y) E(Y)- (c) Are X and Y independent random variables? Show why, or why not (d) Find P(1 X 2|Y 1) E SD(Y)-
6. The joint density of the random variables X and Y is given as F. ( 1 <rsy <3 otherwise i) Find e such that is a valid density function.(8 pts) ii) Set up the calculation for P(X 2.Y > 2). You do not need to compute this value. (5 pts) iii) Find the marginal distribution of X and the marginal distribution of Y. (14 pts) iv) Find E(X) and E(Y)(10 pts) Find ox and of (18 pts) vi) Find...
) Let X, Y be two random variables with the following
properties. Y had
density function fY (y) = 3y
2
for 0 < y < 1 and zero elsewhere. For 0 < y < 1, given
Y = y, X
had conditional density function fX|Y (x | y) = 2x
y
2 for 0 < x < y and zero elsewhere.
(a) Find the joint density function fX,Y . Be precise about where
the values (x, y) are non-zero....
2. (46 pts) Suppose the random variables X and Y have the joint density function defined by: f(x, y)- otherwise a) Find the value for the constant c b) Find the marginal cdf for X and Y c) Find PiX>3, Y>2)