The observations make up the population of the variable X: X1 = 2, X2 = 3,...
The observations make up the population of the variable X: X1 = 2, X2 = 3, X3 = 4
a. Find the population mean of X, μX.
b. Find the population standard deviation of X, σX.
Suppose that the variable Y is defined as follows: Y = (X – μX) / σX
c. Calculate Y1, Y2, and Y3.
d. Find the mean of Y, μY
e. Find the standard deviation of Y, σY.
Homework Answers
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The observations make up the population of the variable X: X1 =
2, X2 = 3,...
= = 3, Cov(X1, X2) = 2, Cov(X2, X3) = -2, Let Var(X1) = Var(X3) =...
= = 3, Cov(X1, X2) = 2, Cov(X2, X3) = -2, Let Var(X1) = Var(X3) = 2, Var(X2) Cov(X1, X3) = -1. i) Suppose Y1 = X1 - X2. Find Var(Y1). ii) Suppose Y2 = X1 – 2X2 – X3. Find Var(Y2) and Cov(Yı, Y2). Assuming that (X1, X2, X3) are multivariate normal, with mean 0 and covariances as specified above, find the joint density function fxı,Y,(y1, y2). iii) Suppose Y3 = X1 + X2 + X3. Compute the covariance...
I need the solution of this question asap 3, Cov(X1, X2) = 2, Cov(X2, X3) =...
I need the solution of this question asap
3, Cov(X1, X2) = 2, Cov(X2, X3) = -2, 5. Let Var(x1) = Var(X3) = 2, Var(X2) Cov(X1, X3) = -1. i) Suppose Y1 = X1 - X2. Find Var(Y1). ii) Suppose Y2 = X1 – 2X2 – X3. Find Var(Y2) and Cov(Y1, Y2). Assuming that (X1, X2, X3) are multivariate normal, with mean 0 and covariances as specified above, find the joint density function fyy, y,(91, y2). iii) Suppose Y3 =...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1 < x2 < X3. Suppose that y = ax + by + c is a parabola passing through the three points (x1, yı), (x2, y), and (x3, Y3). We have that a, b, and c must satisfy i = ax + bx + C V2 = ax + bx2 + c y3 = ax} + bx3 + c Let D = x X2 1....
Q2 Suppose X1, X2, X3 are independent Bernoulli random variables with p = 0.5. Let Y;...
Q2 Suppose X1, X2, X3 are independent Bernoulli random variables with p = 0.5. Let Y; be the partial sums, i.e., Y1 = X1, Y2 = X1 + X2, Y3 = X1 + X2 + X3. 1. What is the distubution for each Yį, i = 1, 2, 3? 2. What is the expected value for Y1 + Y2 +Yz? 3. Are Yį and Y2 independent? Explain it by computing their joint P.M.F. 4. What is the variance of Y1...
Set A contains three numbers x1, x2 and x3. Set B contains four numbers y1, y2,...
Set A contains three numbers x1, x2 and x3. Set B contains four numbers y1, y2, y3 and y4. These two sets have the following characteristics: Set Mean Standard deviation A 10 2 B 45 5 Set X consists of the following eight numbers: u1 =70, u2 =7x1, u3 =7x2, u4 =7x3, u5 =2y1, u6 =2y2, u7 =2y3, u8 =2y4. Find the mean and standard deviation of the numbers in set X.
Let X1, X2, . . . , Xn be a random sample of size n from...
Let X1, X2, . . . , Xn be a random sample of size n from a normal population with mean µX and variance σ ^2 . Let Y1, Y2, . . . , Ym be a random sample of size m from a normal population with mean µY and variance σ ^2 . Also, assume that these two random samples are independent. It is desired to test the following hypotheses H0 : σX = σY versus H1 : σX...
Consider the following equations: y1 = a1y2 +a2y3 +x1 +x2 +e1 (1) y2 = by1+2x3+x1+e2 (2) y3 =cy1+e3 (3) Here a1, a2, b, c are unknown parameters of interest, which are all posi- tive. x1, x2, x3 are e...
Consider the following equations: y1 = a1y2 +a2y3 +x1 +x2 +e1 (1) y2 = by1+2x3+x1+e2 (2) y3 =cy1+e3 (3) Here a1, a2, b, c are unknown parameters of interest, which are all posi- tive. x1, x2, x3 are exogenous variables (uncorrelated with y1, y2 or y3). e1, e2, e3 are error terms. (a) In equation (1), why y2,y3 are endogenous? (b) what is (are) the instrumental variable(s) for y2, y3 in equation (1)? (no need to explain why) (c) In...
Pa Suppose that (X1, X2) ~ N(0,0,1,1,0). It follows from this that the joint PDF of...
Pa Suppose that (X1, X2) ~ N(0,0,1,1,0). It follows from this that the joint PDF of (X1, Xy) is given by fxıx(31,09) - exp(+34 +23) Furthermore, if GE Thte and 12(x3 + x2) - tao V5 (Xi-X) que Then (Y1,Y,) ~ N(0,0, 1, 1,0) as well. (a) If X, < X2, what are the possible values of Y1 and Y2? (b) If Y2 < 0, what are the possible values of X, and X,? (c) What is the marginal distribution...
7.Let X1, X2, X3, and X4 be a random sample of observations from a population with...
7.Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. Consider the following estimator of μ:⊝1 = 0.15 X1 + 0.35 X2 + 0.20 X3 + 0.30 X4. Is this a biased estimator for the mean? What is the variance of the estimator? Can you find a more efficient estimator?
Let X1, X2, X3, and X4 be a random sample of observations from a population with...
Let X1, X2,
X3, and X4 be a random
sample of observations from a population with mean μ and
variance σ2. Consider the following estimator of
μ: 1 = 0.15 X1 +
0.35 X2 + 0.20 X3 + 0.30
X4. Using the linear combination of random
variables rule and the fact that X1, ...,
X4are independently drawn from the population, calculate
the variance of 1?
A.
0.55 σ2
B.
0.275 σ2
C.
0.125 σ2
D.
0.20 σ2
= = 3, Cov(X1, X2) = 2, Cov(X2, X3) = -2, Let Var(X1) = Var(X3) = 2, Var(X2) Cov(X1, X3) = -1. i) Suppose Y1 = X1 - X2. Find Var(Y1). ii) Suppose Y2 = X1 – 2X2 – X3. Find Var(Y2) and Cov(Yı, Y2). Assuming that (X1, X2, X3) are multivariate normal, with mean 0 and covariances as specified above, find the joint density function fxı,Y,(y1, y2). iii) Suppose Y3 = X1 + X2 + X3. Compute the covariance...
I need the solution of this question asap
3, Cov(X1, X2) = 2, Cov(X2, X3) = -2, 5. Let Var(x1) = Var(X3) = 2, Var(X2) Cov(X1, X3) = -1. i) Suppose Y1 = X1 - X2. Find Var(Y1). ii) Suppose Y2 = X1 – 2X2 – X3. Find Var(Y2) and Cov(Y1, Y2). Assuming that (X1, X2, X3) are multivariate normal, with mean 0 and covariances as specified above, find the joint density function fyy, y,(91, y2). iii) Suppose Y3 =...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1 < x2 < X3. Suppose that y = ax + by + c is a parabola passing through the three points (x1, yı), (x2, y), and (x3, Y3). We have that a, b, and c must satisfy i = ax + bx + C V2 = ax + bx2 + c y3 = ax} + bx3 + c Let D = x X2 1....
Q2 Suppose X1, X2, X3 are independent Bernoulli random variables with p = 0.5. Let Y; be the partial sums, i.e., Y1 = X1, Y2 = X1 + X2, Y3 = X1 + X2 + X3. 1. What is the distubution for each Yį, i = 1, 2, 3? 2. What is the expected value for Y1 + Y2 +Yz? 3. Are Yį and Y2 independent? Explain it by computing their joint P.M.F. 4. What is the variance of Y1...
Pa Suppose that (X1, X2) ~ N(0,0,1,1,0). It follows from this that the joint PDF of (X1, Xy) is given by fxıx(31,09) - exp(+34 +23) Furthermore, if GE Thte and 12(x3 + x2) - tao V5 (Xi-X) que Then (Y1,Y,) ~ N(0,0, 1, 1,0) as well. (a) If X, < X2, what are the possible values of Y1 and Y2? (b) If Y2 < 0, what are the possible values of X, and X,? (c) What is the marginal distribution...
Let X1, X2,
X3, and X4 be a random
sample of observations from a population with mean μ and
variance σ2. Consider the following estimator of
μ: 1 = 0.15 X1 +
0.35 X2 + 0.20 X3 + 0.30
X4. Using the linear combination of random
variables rule and the fact that X1, ...,
X4are independently drawn from the population, calculate
the variance of 1?
A.
0.55 σ2
B.
0.275 σ2
C.
0.125 σ2
D.
0.20 σ2
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