For f(x,y) to be a legitimate PDF, we should have


![\Rightarrow k\int_{x=0}^{1}[\frac{x^2}{8}-\frac{x^4}{8}]dx=1 \Rightarrow k[\frac{x^3}{24}-\frac{x^5}{40}]_{0}^{1}=1 \Rightarrow k[\frac{1^3}{24}-\frac{1^5}{40}]=1 \Rightarrow k=60](http://img.homeworklib.com/questions/aa5a9480-a234-11ea-b065-6fb528fec666.png?x-oss-process=image/resize,w_560)
The joint density function for X and Y is given as: f(x, y) = kxy for...
(1 point) The joint probability density function of X and Y is given by f(x, y) = cx – 16 c”, - <x< 0 < b < co alt 0 < y < 0 Find c and the expected value of X: c = E(X) =
1. Let X and Y have the joint density function given by zob to todos f(x, y) = {kxy) of 50<x< 2, 0 <y<3.) i 279VHb yodmu : 1093 otherwise a) Find the value of k that makes this a probability density function. TO B 250 b) Find the marginal distribution with respect to y. 0x11 sono c) Find E[Y] d) Find V[Y]. X10 sulay boso 50
Q2. . Suppose X and Y have joint density hr'y, x20,y 20, z y< 1 f(x, y) 0, otherwise Find h to make f(z, y) a legitimate density function. Then find the marginal distribution of X
Suppose a joint probability density function for two variables X and Y is given as follows: {24x0, if 0 < x < 1,0 < y < 1 f(x, y) = otherwise Please find the probability p (w > 1) =? 3
[2.5 points] If two random variables have a joint density given by, f(x, y) = k(3x + 2y) 0 for 0 < x < 2, 0 < y < 1 elsewhere (a) Find k (b) Find the Marginal density of Y. (c) Find E(Y) (d) Find marginal density X. (e) Find the probability, P(X < 1.3). (f) Evaluate fı(x|y); (g) Evaluate fi(x|(0.75))
The k value that make the following joint density function f(x,y)=kxy, for 0<=x,y<=1 & x+y<=1; =0, elsewhere valid is:
< 1. The joint probability density function (pdf) of X and Y is given by for(x, y) = 4 (1 - x)e”, 0 < x <1, 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).
Q. Suppose the joint probability density function of X and Y
is
(a) Show that the value of constant ?=12/11
(b) Find the marginal density function of X, i.e.,
fX(x).
(c) Find the conditional probability density of X given Y = y,
i.e., fX|Y(x|y).
fxy(x, y) = s k(2 - x + y)x 1 0 0 < x < 1,0 = y = 1 otherwise
If X and Y have a joint probability density function specified by 2-(+2y) find P(X <Y).
. The joint density of the random variables X and Y is given as c f(x,y) = 1 < x <y <3 otherwise 10, i) Find c such that f(x,y) is a valid density function. ii) Set up the calculation for P(X<2, Y> 2). You do not need to compute this value. iii) Find the marginal distribution of X and the marginal distribution of Y.