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26. Consider the summary information for the random variables X and Y given below. = 100...
Given random variables X1, X2, Y with E[Y | X1, X2] = 5X1 + X1X2 and...
Given random variables X1, X2, Y with E[Y | X1, X2] =
5X1 + X1X2 and E[Y
2
| X1, X2] =
25X2
1X2
2 + 15, find
E[(X1Y + X2)
2
| X1, X2].
ㄨ竺Bin(2.1/4). Suppose X and Y are independent random variables. Find the expected value of YX. Hnt: Consider conditioning on the events (X-j)oj0,1,2. 9. Given random variables XI,X2, Y with E'Y | XiN;|-5X1 + X1X2 and Ep2 1 X1,X2] 25XX15, find 10. Let X and Y...
Consider the joint PDF of two random variables X and Y below. fx.y (x y) =...
Consider the joint PDF of two random variables X and Y below. fx.y (x y) = 1, if 0 < x < 1, and 0 y< 1, and fxx (г, у) Oif andy are outside of that square. So, basically, the joint PDF is a constant over the unit square Let W X+Y. Suppose we express the CDF of W in the usual double integral form h Fw(W) 2 dy dx g where w-0.4 is a given value at which...
Given below is a bivariate distribution for the random variables x and y. f(x, y) x y 0.3...
Given below is a bivariate distribution for the random variables x and y. f(x, y) x y 0.3 50 80 0.2 30 50 0.5 40 60 (a) Compute the expected value and the variance for x and y. E(x) = E(y) = Var(x) = Var(y) = (b) Develop a probability distribution for x + y. x + y f(x + y) 130 80 100 (c) Using the result of part (b), compute E(x + y) and Var(x + y). E(x...
Given below is a bivariate distribution for the random variables x and y. f(x,y) x y...
Given below is a bivariate distribution for the random variables x and y. f(x,y) x y 0.1 90 70 0.5 20 30 0.3 40 60 a. Compute the expected value and the variance for x and y. b. Develop a probability distribution for x + y. c. Using the result of part (b), compute E(x+y) and Var (x+y). d. Compute the covariance and correlation for x and y. Are x and y positively related, negatively related or unrelated? e. Is...
Consider a pair of independent random variables X and Y with identical marginal p.m.F.'s (1-0) for...
Consider a pair of independent random variables X and Y with identical marginal p.m.F.'s (1-0) for z E 10, 1,2,... otherwise {(1-0 gu otherwise 1,2,..) pr(v) (This is an alternative way of defining the geometric distribution.) Complete the derivation of the distribution of Z X +Y below. (1-0) Complete the derivation of the conditional distribution of XZ If we know that X and Zz,then If we know that Zthen X can take any value between below and Complete the derivation...
pr 1 X and Y are two random variables. A scatter diagram for a 15 different...
pr 1 X and Y are two random variables. A scatter diagram for a 15 different samples of both random variables is illustrated below a. Suggest a convenient value for the covariance of X, Y 2 pt 2 t. Is X, Y independent? Why? If they are dependent and you know that X-10, what you could expect about Y? GOOD LUCK
C Y 0 Multiple Choice Question Consider the discrete random variables X and Y with the...
C Y 0 Multiple Choice Question Consider the discrete random variables X and Y with the following joint probability mass function: fxy(x, y) - 1 1/8 0 -1 1/4 0 1/4 0 1/8 -1 1/8 -1 1/8 Given that X is not negative, what is the probability that Y is also not negative? 1 1 1 1 A. 0.5 B. 0.8 C. 0.4 D. 0.25 E. none of the preceding Multiple Choice Question We measured the compressive strength for n...
Consider two discrete random variables X and Y with joint p.m.f given below . 0.200.15 -1...
Consider two discrete random variables X and Y with joint p.m.f given below . 0.200.15 -1 0 0.05 0.15 0.10 1 0.200.15 Find the joint p.m.f. of U-X Y and V X Yand enter it below Pulu,y) -1 0 -1 0 Chec
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y)...
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table...
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
Given random variables X1, X2, Y with E[Y | X1, X2] =
5X1 + X1X2 and E[Y
2
| X1, X2] =
25X2
1X2
2 + 15, find
E[(X1Y + X2)
2
| X1, X2].
ㄨ竺Bin(2.1/4). Suppose X and Y are independent random variables. Find the expected value of YX. Hnt: Consider conditioning on the events (X-j)oj0,1,2. 9. Given random variables XI,X2, Y with E'Y | XiN;|-5X1 + X1X2 and Ep2 1 X1,X2] 25XX15, find 10. Let X and Y...
Consider the joint PDF of two random variables X and Y below. fx.y (x y) = 1, if 0 < x < 1, and 0 y< 1, and fxx (г, у) Oif andy are outside of that square. So, basically, the joint PDF is a constant over the unit square Let W X+Y. Suppose we express the CDF of W in the usual double integral form h Fw(W) 2 dy dx g where w-0.4 is a given value at which...
Consider a pair of independent random variables X and Y with identical marginal p.m.F.'s (1-0) for z E 10, 1,2,... otherwise {(1-0 gu otherwise 1,2,..) pr(v) (This is an alternative way of defining the geometric distribution.) Complete the derivation of the distribution of Z X +Y below. (1-0) Complete the derivation of the conditional distribution of XZ If we know that X and Zz,then If we know that Zthen X can take any value between below and Complete the derivation...
pr 1 X and Y are two random variables. A scatter diagram for a 15 different samples of both random variables is illustrated below a. Suggest a convenient value for the covariance of X, Y 2 pt 2 t. Is X, Y independent? Why? If they are dependent and you know that X-10, what you could expect about Y? GOOD LUCK
C Y 0 Multiple Choice Question Consider the discrete random variables X and Y with the following joint probability mass function: fxy(x, y) - 1 1/8 0 -1 1/4 0 1/4 0 1/8 -1 1/8 -1 1/8 Given that X is not negative, what is the probability that Y is also not negative? 1 1 1 1 A. 0.5 B. 0.8 C. 0.4 D. 0.25 E. none of the preceding Multiple Choice Question We measured the compressive strength for n...
Consider two discrete random variables X and Y with joint p.m.f given below . 0.200.15 -1 0 0.05 0.15 0.10 1 0.200.15 Find the joint p.m.f. of U-X Y and V X Yand enter it below Pulu,y) -1 0 -1 0 Chec
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
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