Question

In: Statistics and Probability

Suppose that the random variables, ξ, η have joint uniform density f(x, y) = 2/9 in...

Suppose that the random variables, ξ, η have joint uniform density f(x, y) = 2/9

in the triangular region bounded by the lines x = -1 , y - -1 and y = 1 - x.

a) Find the marginal densities f(x) =∫ 2/9 dy (limits, -1 to 1-x) and f(y) =∫ 2/9 dx

(limits -1 to 1-y). Also show that f(x) f(y) ≠ f(x, y) so that ξ and η are not

independent.

b) Verify that μξ = ∫ x f(x) dx = 0 and μη = ∫ y f(y) dy = 0

c) Find Var (ξ) = ∫ x2 f(x) dx, Var (ζ) = ∫ y2 f(y) dy and

Cov (ξ, η) = 2/9 ∫ x [ ∫ y dy ] dx (y limits -1 to 1-x, then x = -1 to x = 2)

d) Find ρ and regression curve E[η│ξ = x] = [1/f(x)] (2/9) ∫ y dy (y= -1 to y = 1-x)

Solutions

Expert Solution


Related Solutions

Suppose X and Y are random variables with joint density f(x, y) = c(x2y + y2),...
Suppose X and Y are random variables with joint density f(x, y) = c(x2y + y2), − 1 ≤ x ≤ 1, 0 ≤ y ≤ 1 (0 else). a) Find c. b) Determine whether X and Y are independent. c) Compute P(3X + 2Y > 1 | −1/2 ≤ X ≤ 1/2).
Suppose that we have two random variables (Y,X) with joint probability density function f(y,x). Consider the...
Suppose that we have two random variables (Y,X) with joint probability density function f(y,x). Consider the following estimator of the intercept of the Best Linear Predictor: A = ?̅ - B • ?̅ , where ?̅ is the sample mean of y, ?̅ is the sample mean of x, and B is the sample covariance of Y and X divided by the sample variance of X. Identify the probability limit of A (if any). For each step in your derivation,...
The joint density function for random variables X, Y, and Z is f(x, y, z)= Cxyz  if...
The joint density function for random variables X, Y, and Z is f(x, y, z)= Cxyz  if 0 ≤ x ≤ 1, 0 ≤ y ≤ 2, 0 ≤ z ≤ 2, and f(x, y, z) = 0 otherwise. (a) Find the value of the constant C. (b) Find P(X ≤ 1, Y ≤ 1, Z ≤ 1). (c) Find P(X + Y + Z ≤ 1).
Suppose that X and Y have the following joint probability density function. f (x, y) =...
Suppose that X and Y have the following joint probability density function. f (x, y) = (3/394)*y, 0 < x < 8, y > 0, x − 3 < y < x + 3 (a)   Find E(XY). (b)   Find the covariance between X and Y.
6. Two continuous random variables X and Y have the joint density that is equal to...
6. Two continuous random variables X and Y have the joint density that is equal to c(x + y) 2 inside the square 0 ≤ x ≤ 1, 0 ≤ y ≤ 1 and vanishes everywhere else. a) Find the value of c b) Find the marginal density fX(x) and use it to determine E(X) and V(X) c) Find the marginal density fY(y) and use it to determine E(Y) and V(Y) d) Find the correlation ρ(X,Y) e) Are X and...
If the joint probability density function of the random variables X and Y is given by...
If the joint probability density function of the random variables X and Y is given by f(x, y) = (1/4)(x + 2y) for 0 < x < 2, 0 < y < 1, 0 elsewhere (a) Find the conditional density of Y given X = x, and use it to evaluate P (X + Y/2 ≥ 1 | X = 1/2) (b) Find the conditional mean and the conditional variance of Y given X = 1/2 (c) Find the variance...
. Let X and Y be a random variables with the joint probability density function fX,Y...
. Let X and Y be a random variables with the joint probability density function fX,Y (x, y) = { 1, 0 < x, y < 1 0, otherwise } . a. Let W = max(X, Y ) Compute the probability density function of W. b. Let U = min(X, Y ) Compute the probability density function of U. c. Compute the probability density function of X + Y ..
Let X and Y be continuous random variables with joint pdf f(x, y) = kxy^2 0...
Let X and Y be continuous random variables with joint pdf f(x, y) = kxy^2 0 < x, 0 < y, x + y < 2 and 0 otherwise 1) Find  P[X ≥ 1|Y ≤ 1.5] 2) Find P[X ≥ 0.5|Y ≤ 1]
Suppose that the joint probability density function of ˜ (X, Y) is given by:´ f X,Y...
Suppose that the joint probability density function of ˜ (X, Y) is given by:´ f X,Y (x,y) = 4x/y3 I(0.1)(x), I (1, ∞)(y). Calculate a) P(1/2 < X < 3/4, 0 < Y ≤ 1/3). b) P(Y > 5). c) P(Y > X).
let the random variables x and y have the joint p.m.f f(x,y)= (x+y)/12 where x=1,2 and...
let the random variables x and y have the joint p.m.f f(x,y)= (x+y)/12 where x=1,2 and y=1,2 calculate the covariance of x and y calculate the correlation coefficient of x and y Thank you
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT