Given: X and Y have a normal distribution with mean_x = 20, var(x) = 4, mean_y = 10, var(y) = 2.
Find x such that Probability that x<(X − Y)<10 =0.2
Given: X and Y have a normal distribution with mean_x = 20, var(x) = 4, mean_y...
Given: X and Y have a normal distribution with mean_x = 19, var(x) = 5 mean_y = 11, var(y) = 1. Find Probability that X + Y > 22 Find an x such that Probability that x<(X − Y)<10 =0.2
р 9. If (X,Y) are bivariate normal with E(X) = 20, var(X) = 25, E(Y) = 16, var(Y) = 9, and = 0.7, what is the distribution of Y given X = 30? 3.52 .d.
you have two random variables, X and Y with joint distribution given by the following table: Y=0 | .4 .2 4+.26. So, for example, the probability that Y 0, X - 0 is 4, and the probability that Y (a) Find the marginal distributions (pmfs) of X and Y, denoted f(x),f(r). (b) Find the conditional distribution (pmf) of Y give X, denoted f(Y|X). (c) Find the expected values of X and Y, E(X), E(Y). (d) Find the variances of X...
Let X and Y have a bivariate normal distribution with parameters μX = 10, σ2 X = 9, μY = 15, σ2 Y = 16, and ρ = 0. Find (a) P(13.6 < Y < 17.2). (b) E(Y | x). (c) Var(Y | x). (d) P(13.6 < Y < 17.2 | X = 9.1). 4.5-8. Let X and Y have a bivariate normal distribution with parameters Ax-10, σ(-9, Ily-15, σǐ_ 16, and ρ O. Find (a) P(13.6< Y < 17.2)...
X and Y have the bivariate normal distribution. You are given: E[X]=10 E[Y]=-5 E[XY]=-46 E[Y|X=2]=-77/9 E[X|Y=2]=17 Calculate Var[Y|X=x] + Var[X|Y=y] a) 6.5 b) 6.8 c) 7.00 d) 7.22 e) 7.43
1. Suppose you have two random variables, X and Y with joint distribution given by the following tables So, for example, the probability that Y o,x - 0 is 4, and the probability that Y (a) Find the marginal distributions (pmfs) of X and Y, denoted f(x),J(Y). (b) Find the conditional distribution (pmf) of Y give X, denoted f(YX). (c) Find the expected values of X and Y, EX), E(Y). (d) Find the variances of X and Y, Var(X),Var(Y). (e)...
1. Suppose (x, Y) has bivariate normal distribution, E(x) E(Y)- 0, Var(X) σ , Var(Y) σ and Correl(X, Y) p. Calculate the conditional expectation E(X2|Y).
х 1 4 5 4. The probability distribution of a random variable X is given below -4 3 P(X=x) 0.1 0.2 0.3 0.2 a) Find E(X) 0.2 b) Find Var(X)
2. Let y=-3x+4.For the case that X is Gaussian random variable of normal distribution given as N (0,4), find the probability density function of Y. What is the mean and variance of Y
Given Var(X) = 4, Var(Y) = 1, and Var(X+2Y) = 10, What is Var(2X-Y-3)? I know the answer is 15, I'm particularly interested in the specific steps involved with finding the cov(X,Y) in this problem. Please explain in detail, step by step how you come to cov(X,Y) = 0.5 in this equation. Please include any formulas you would need to use to find the cov(X,Y) in this equation.