3. A point (X, Y) is uniformly distributed on the unit square (0, 1]2. Let 0...
Let X be a continuous random variable uniformly distributed on the unit interval (0, 1), .e X has a density f(x) = { 1, 0<r<1 f (x)- 0, elsewhere μ+ơX, where-oo < μ < 00, σ > 0 (a) Find the density of Y (b) Find E(Y) and V(Y)
Let X be uniformly distributed in the unit interval [0,2]. Consider the random variable Y=g(x), where g(x)=2, if x ≤ 1/4 and g(x) = 3, if X > 1/4. a.) find the expected value of Y (by first deriving its PDF)
5. Let X be uniformly distributed in [0, 1]. Given X = x, the r.v. Y is uniformly distributed in 0, x for 0
4. A random point (X, Y ) is chosen uniformly from within the unit disk in R2, {(x, y)|x2+y2< 1} (a) Let (R, O) denote the polar coordinates of the point (X,Y). Find the joint p.d.f. of R and . Compute the covariance between R and 0. Are R and e are independent? (b) Find E(XI{Y > 0}) and E(Y|{Y > 0}) (c) Compute the covariance between X and Y, Cov(X,Y). Are X and Y are independent?
4. A random...
9 0/1 point (graded) Let X be distributed uniformly over 1,1, andlet y- Xw.p. 3/4, l-X w.p. 1/4, where w.p. means "with probability". Find Cov (X,Y) 2 Submit You have used 1 of 4 attempts
Let X,Y be uniformly distributed in the rectangle defined by −3
< x−y < 3, 1 < x + y < 5. Find the marginal density
fX(x) and E(Y|X).In the same situation find Cov(X,Y ).
(3) Let X, Y be uniformly distributed in the rectangle defined by -3 < x-y<3, Find the marginal density fx(x) and E(Y|X). In the same situation find Cov(X, Y). 1<x+y<5.
0/1 point (graded) Let X be distributed uniformly over {-1 { Xw.p. 3/4, where w.p. means "with probability". Find Cov (X, Y) , 1f, and let Y- X w.p. 1/4., 2 Submit You have used 1 of 4 attempts Reset
Exercise 6.34. Let (X,Y) be a uniformly distributed random point on the quadri- lateral D with vertices (0,0), (2,0), (1,1) and (0,1). (a) Find the joint density function of (X,Y) and the marginal density functions of X and Y. (b) Find E[X] and E[Y]. (c) Are X and Y independent?
Exercise 10.33. Let (X,Y) be uniformly distributed on the
triangleD with vertices (1,0), (2,0) and (0,1), as in Example
10.19. (a) Find the conditional probability P(X ≤ 1 2|Y =y). You
might first deduce the answer from Figure 10.2 and then check your
intuition with calculation. (b) Verify the averaging identity for
P(X ≤ 1 2). That is, check that P(X ≤ 1 2)=:∞ −∞ P(X ≤ 1 2|Y
=y)fY(y)dy.
Example 10.19. Let (X, Y) be uniformly distributed on the...
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)