Compute the joint cumulative distribution function of ( X , Y ) distributed uniformly on the unit square.
Compute the joint cumulative distribution function of ( X , Y ) distributed uniformly on the...
If X is uniformly distributed over (-2, 1], find (i) the cumulative distribution function of Y1 = |X| (ii) Find the probability density function of Y2=e^2X
X and Y are jointly uniformly distributed and their joint PDF is given by: fX,Y(x,y) = {k , 0<=x<=4, 0 <=y <= 8 0 , otherwise } a.) find the value of k that makes the joint PDF valid b.) compute the probability P[(X-2)^2 + (Y-2)^2 < 4] c.) compute the probability P[Y > 0.5X + 5]
1) Assume that the joint cumulative distribution of (X,Y) is x F(x, y) A(B+ arctan(C+arctan Find (1) the efficiency of A B C (2) the joint probability density function of (X,Y). (3) determine the independence of X and Y. (4) E(X)
1) Assume that the joint cumulative distribution of (X,Y) is x F(x, y) A(B+ arctan(C+arctan Find (1) the efficiency of A B C (2) the joint probability density function of (X,Y). (3) determine the independence of X and Y....
Show the random variables X and Y are independent, or not
independent
Find the joint cdf given the joint pdf below
Suppose that (X, Y) is uniformly distributed over the region defined by 0 sys1-x2 and -1sx 4 Therefore, the joint probability density function is, 0; Otherwise
Suppose that (X, Y) is uniformly distributed over the region defined by 0 sys1-x2 and -1sx 4
Therefore, the joint probability density function is, 0; Otherwise
5. Let (X, Y) be a uniformly distributed random point on the quadrilateral D with vertices (0,0), (2,0),(1,1), (0,1) Uniformly distributed means that the joint probability density function of X and Y is a constant on D (equal to 1/area(D)). (a) Do you think Cov(X, Y) is positive, negative, or zero? Can you answer this without doing any calculations? (b) Compute Cov(X, Y) and pxyCorr(X, Y)
The joint probability density function (pdf) of (X,Y ) is given by f(X,Y )(x,y) = 12/ 7 x(x + y), for 0 ≤ y ≤ 1, 0 ≤ x ≤ 1, 0, elsewhere. (a) Find the cumulative distribution function of (X,Y ). Make sure you derive expressions for the cdf in the regions • x < 0 or y < 0; • 0 ≤ x ≤ 1, 0 ≤ y ≤ 1; • x > 1, 0 ≤ y ≤...
X and Y are jointly uniformly distributed and their joint PDF is given by: fX,Y(x,y) = {k , 0<=x<=4, 0 <=y <= 8 0 , otherwise } a.) find the value of k that makes the joint PDF valid b.) compute the probability P[(X-2)^2 + (Y-2)^2 < 4] c.) compute the probability P[Y > 0.5X + 5]
Let X and Y be two competing risks with joint survival function S(x,y) = expl-x-y-5x), 0 < x, y. (a) Find the marginal cumulative distribution function of X b) Find the cumulative incidence function of X
5. Let X be uniformly distributed in [0, 1]. Given X = x, the r.v. Y is uniformly distributed in 0, x for 0
Suppose Y is uniformly distributed on (0,1), and that the conditional distribution of X given that Y = y is uniform on (0, y). Find E[X]and Var(X).