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3-3.3 Two independent random variables, X and Y, have Gaussian probability density functions with means of 1 and 2, respectively, and variances of 1 and 4, respectively. Find the probability that XY...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density,...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
Exercise 3-6.1 Two random variables X and Y have a joint probability density function of the...
Exercise 3-6.1 Two random variables X and Y have a joint probability density function of the form 148 CHAPTER 3 SEVERAL RANDOM VARIABLES -0 elsewhere Find the probability density function of Z-XY. Answer: -In (z) Exercise 3-6.2 Show that the random variables X and Y in Exercise 3-6.1 are independent and find the expected value of their product. Find ElZ] by integrating the function zf(z) Answer: 1/4
9-A-Two random variables X and Y are independent and have marginal Probability Density Functions (PDF) shown below....
9-A-Two random variables X and Y are independent and have marginal Probability Density Functions (PDF) shown below. Derive the PDF of the random variable Z = X+Y. Give an expression for the desired PDF and sketch it. 0.5e ; x>0 J1/2; 0<y<2 Jx0 ") 0 : f ) = 0 0; y<0
Two random variables X and Y have means E[X] = 1 and E[Y] = 0, variances...
Two random variables X and Y have means E[X] = 1 and E[Y] = 0, variances 0x2 = 9 and Oy2 = 4, and a correlation coefficient xx =0.6. New random variables are defined by V = -2X + Y W = 2X + 2Y Find the means of V and W Find the variances of V and W defined in question 3 Find Rww for the variables V and W defined in question 3
The continuous random variables, X and Y , have the following joint probability density function: ...
The continuous random variables, X and Y , have the following joint probability density function: f(x,y) = 1/6(y2 + x3), −1 ≤ x ≤ 1, −2 ≤ y ≤ 1, and zero otherwise. (a) Find the marginal distributions of X and Y. (b) Find the marginal means and variances. (c) Find the correlation of X and Y. (d) Are the two variables independent? Justify.
7. Two random variables X and Y have joint probability density function s(x, y) = $(1...
7. Two random variables X and Y have joint probability density function s(x, y) = $(1 – xy), 0<x< l; 0<y<l. The marginal pdfs for X and Y are respectively S(x) = {(2-x) 0<x< 1; s()= (2-y) 0<y<l. Determine the conditional expectation E(Y|X = x) and hence determine E(Y) [7] (ii) [3] Verify your answer to part (i) by calculating the value of E(Y) directly from the marginal pdf for Y. [Total 10]
(45) Two random variables X and Y have the joint probability density | 2, 0sxs1 and...
(45) Two random variables X and Y have the joint probability density | 2, 0sxs1 and 0 s ys1 and x + y21 fxY (x, y) = 0, elsewhere Answer each of these independent questions about X, Y, carefully indicating the domain of all functions where needed. Parts a). - i). are 5 points each. a). Find E(Z), where Z is a new random variable defined by Z = XY b). A is the event {X >0.75}. Find P(A). c)....
Let X, Y be two independent exponential random variables with means 1 and 3, respectively. Find...
Let X, Y be two independent exponential random variables with means 1 and 3, respectively. Find P(X> Y)
4. Two random variables X and Y have the following joint probability density function (PDF) Skx 0<x<y<1, fxy(x...
4. Two random variables X and Y have the following joint probability density function (PDF) Skx 0<x<y<1, fxy(x, y) = 10 otherwise. (a) [2 points) Determine the constant k. (b) (4 points) Find the marginal PDFs fx(2) and fy(y). Are X and Y independent? (c) [4 points) Find the expected values E[X] and EY). (d) [6 points) Find the variances Var[X] and Var[Y]. (e) [4 points) What is the covariance between X and Y?
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2, and 1, respectively, such t...
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2, and 1, respectively, such that E XY 1. Assume that U is independent of X and Y Let Z = X + Y + U. Find the joint PDF of X, Y. and Z. Your answer should be explicit C1 and not contain vectors or matrices.
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2,...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
Exercise 3-6.1 Two random variables X and Y have a joint probability density function of the form 148 CHAPTER 3 SEVERAL RANDOM VARIABLES -0 elsewhere Find the probability density function of Z-XY. Answer: -In (z) Exercise 3-6.2 Show that the random variables X and Y in Exercise 3-6.1 are independent and find the expected value of their product. Find ElZ] by integrating the function zf(z) Answer: 1/4
9-A-Two random variables X and Y are independent and have marginal Probability Density Functions (PDF) shown below. Derive the PDF of the random variable Z = X+Y. Give an expression for the desired PDF and sketch it. 0.5e ; x>0 J1/2; 0<y<2 Jx0 ") 0 : f ) = 0 0; y<0
Two random variables X and Y have means E[X] = 1 and E[Y] = 0, variances 0x2 = 9 and Oy2 = 4, and a correlation coefficient xx =0.6. New random variables are defined by V = -2X + Y W = 2X + 2Y Find the means of V and W Find the variances of V and W defined in question 3 Find Rww for the variables V and W defined in question 3
7. Two random variables X and Y have joint probability density function s(x, y) = $(1 – xy), 0<x< l; 0<y<l. The marginal pdfs for X and Y are respectively S(x) = {(2-x) 0<x< 1; s()= (2-y) 0<y<l. Determine the conditional expectation E(Y|X = x) and hence determine E(Y) [7] (ii) [3] Verify your answer to part (i) by calculating the value of E(Y) directly from the marginal pdf for Y. [Total 10]
(45) Two random variables X and Y have the joint probability density | 2, 0sxs1 and 0 s ys1 and x + y21 fxY (x, y) = 0, elsewhere Answer each of these independent questions about X, Y, carefully indicating the domain of all functions where needed. Parts a). - i). are 5 points each. a). Find E(Z), where Z is a new random variable defined by Z = XY b). A is the event {X >0.75}. Find P(A). c)....
Let X, Y be two independent exponential random variables with means 1 and 3, respectively. Find P(X> Y)
4. Two random variables X and Y have the following joint probability density function (PDF) Skx 0<x<y<1, fxy(x, y) = 10 otherwise. (a) [2 points) Determine the constant k. (b) (4 points) Find the marginal PDFs fx(2) and fy(y). Are X and Y independent? (c) [4 points) Find the expected values E[X] and EY). (d) [6 points) Find the variances Var[X] and Var[Y]. (e) [4 points) What is the covariance between X and Y?
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2, and 1, respectively, such that E XY 1. Assume that U is independent of X and Y Let Z = X + Y + U. Find the joint PDF of X, Y. and Z. Your answer should be explicit C1 and not contain vectors or matrices.
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2,...
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