2. (10p) Consider two independent random variables X and . The first has a unform pdf on (o.2) and the latter a Poisson pmf with mean 3. (1) Find the correlation E[XY] 2) Find the expectation E[e...
3. Let f(x,y) = xy-1 be the joint pmf/ pdf of two random variables X (discrete) and Y (continuous), for x = 1, 2, 3, 4 and 0 <y < 2. (a) Determine the marginal pmf of X. (b) Determine the marginal pdf of Y. (c) Compute P(X<2 and Y < 1). (d) Explain why X and Y are dependent without computing Cou(X,Y).
1. (20 points) Consider a random variable X with PDF and a random variable Y with PDF o)(350 e ys0 Given thatX and Y are independent, find the PDF of Z = X + Y. 1. (20 points) Consider a random variable X with PDF and a random variable Y with PDF o)(350 e ys0 Given thatX and Y are independent, find the PDF of Z = X + Y.
there is no need to introduce new variables 2. Consider a joint pdf Find: (a) E(X|Y = y). (b) E(Y|X =x). (c) E(XY) 2. Consider a joint pdf Find: (a) E(X|Y = y). (b) E(Y|X =x). (c) E(XY)
3. Consider two random variables X and Y with the joint probability density (a)o elsewhere which is the sane asin Question I. Now let Z = XY 2 and U = X be a joint transformation of (X, Y). (a) Find the support of (Z, U) (b) Find the inverse transformation (c) Find the Jacobian of the inverse transformation. (d) Find the joint pdf of (Z, U) (e) Find the pdf of Z XY from the joint pdf of (Z,...
1. Let (X, Y) X, Y be two random variables having joint pdf f xy (xy) = 2x ,0 «x « 1,0 « y« 1 = 0, elsewhere. Find the pdf of Z = Xy?
4.2 The Correlation Coefficient 1. Let the random variables X and Y have the joint PMF of the form x + y , x= 1,2, y = 1,2,3. p(x,y) = 21 They satisfy 11 12 Mx = 16 of = 12 of = 212 2 My = 27 Find the covariance Cov(X,Y) and the correlation coefficient p. Are X and Y independent or dependent?
Let X and Y be independent random variables with pdf 2-y , 0sys2 2 f(x) 0, otherwise 0, otherwise ) Find E(XY) b) Find Var (2X+3Y)
Consider two random variables X and X2 with the joint pdf Nn.za) ={Orm ekewhere 1, o?r2 < 1 Let Y X,X2 and Y2X2 be a joint transformation of (Xi, X2) (a) Find the support of (Y.%) and sketch it. (b) Find the inverse transformation. (c) Compute the Jacobian of the inverse transformation (d) Compute the joint pdf of (Yi, Y2) (e) Derive the marginal pdf of Y? from the joint pdf of (y,,Y2).
Question 19 Consider two random variables X and Y with E(X)= 4, E(Y) = 2, E(XY) = 12, V(X) = 16 and V(Y) = 25, then the correlation coefficient between X and Y is: a. -0.2 b. -0.3 c. 0.2 d. 0.3 e. None of the above need step by step distribution~
2. Consider the Poisson distribution, which has a pdf defined as: a) Derive the moment generating function. b) Use the moment generating function and the method of moments to find the mean and the variance. c) If X follows the Poisson distribution with Xx - 2.3, and Y follows a Poisson distribution with XY-54, what is the distribution of the sum X + Y, assuming that X and Y are independent?