For two random variables X and Y, the joint density function is Find (a) the correlation fxy(x, y) = 0.158(x+1) 8(y)+0.18(x) (y)+0.18(x)(y-2) 8(x-1)8(y+2)+0.28(x-1)(y-1)+0.05(x-1)(y-3) +0.4
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- Let the joint density of random variables x and y be given by the following: fx,y(x, y) = 0.158(x + 1)8(y) + 0.18(x)8(y) + 0.18(x)8(y-2) +0.48(x - 1)8(y + 2) +0.28(x - 1)8(y-1) + 0.058(x - 1)8(y - 3) a) Determine the marginal density x and y of this joint density. b) Are these random variables statistically independent? Justify your answer. c) Find the marginal distribution functions for these random variables.A random variable has density function f(x) = 1.6 - 1.2x, for 0≤ x ≤ 1. a) Calculate the variance of X. Var(X) = 0.4 b) Calculate the variance of g(X) = 4X + 1. Var(g(X)) = XLet Xand Y be two continuous random variables with joint probability density [3x function given by: f(x.y)%D 0sysxsl elsewhere with E(X) = ECX)- EC) - EC*)= ;and E(XY) = 10 3 E(Y*) = - and E(XY) =; %3D Then the value of the variance of 2X+Y is: O 3/80 O 91/320 43/320 7/20
- The random variables X and Y have the joint density: fX,Y(x,y) = 2−x−y, for 0<x<1, 0<y<1 0, otherwise For each of the following, please provide your answers in three decimal places: (a) What is the expected value of X? (b) What is the variance of X? (c) What is the covariance of X and Y? (d) What is the correlation of X and Y?The random variables X,Y have variance Var(X)=36 and Var(Y)=1 and their correlation is Cor(X,Y)=−3/4. Calculate Var(X+Y) with a full explanationLet X and Y be two random variables with Var(X) = 6, Var(Y ) = 3, andthe correlation ρ(X, Y ) = −1/4. Find the value of Var(X − 2Y + 7).
- Let X and Y be two continuous random variables with joint probability density (3x function given by: f(x,y)=D 0Sk(x + 4y) ,0 < x < 2, 0 < y < 1 Let f(x,y) = {K** ,otherwise be the joint probability density of X and Y. iv. Find the correlation coefficient of X and Y. V. Find the variance of Z = 6X + 8Y + 10.The p.d.f. of a random variable X' is as shown in the figure. The pdf is zero for X 5. Calculate (i) the maximum value of p.d.f. (ii) expectation of X, E(X) (iii) variance of X. fx (x) kLet X and Y be two continuous random variables with joint probability density [3x function given by: f(x,y)= 0The joint PDF of the random variables X and Y is defined as f(x, y) = 25e³"; 0 0 = 0, otherwise %3D (i) (ii) Find the marginal PDFS and X and Y What is the covariance of X and Y?A firm's revenue R is stochastically related to the effort exerted by its employee. Effort is a continuous variable. The employee can choose any level of effort e E [0, ). The choice of effort affects revenue so that: E(R|e) = e and Var(R|e) = 1 %3D where E(R|e) and V ar(R|e) denote the expected value and variance, respectively, of rev- enue when the employee exerts effort level e. The employer cannot observe the level of effort exerted by the employee. The employer wants to design a wage contract w based on the revenue and considers only contracts of the form: w-α+ βR and so the employee is guaranteed a payment a and then a bonus payment ßR which de- pends on revenue. The employee is a risk-averse expected utility maximiser. A contract w gives expected utility: Eu(w\e) = E(w\e)-eV ar(w]e) – c(e) where E(wle) and Var(wle) denote the expected value and variance of the contract, re- spectively, conditional on effort e, p is a parameter of risk aversion, and c(e) denotes the disutility of…SEE MORE QUESTIONSRecommended textbooks for youCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,
Glencoe Algebra 1, Student Edition, 9780079039897…AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,Glencoe Algebra 1, Student Edition, 9780079039897…AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill