Question

8) X1X1 and X2X2 are two random variables that are jointly distributed such that E(X1)=8E(X1)=8, E(X2)=12E(X2)=12,...

8)

X1X1 and X2X2 are two random variables that are jointly distributed such that E(X1)=8E(X1)=8, E(X2)=12E(X2)=12, Var(X1)=2Var(X1)=2, Var(X2)=3Var(X2)=3 and Cov(X1,X2)=−1Cov(X1,X2)=−1. Let Z=5X1−4X2−5Z=5X1−4X2−5.

  1. Compute E(Z)E(Z).

  2. Compute Var(Z)Var(Z).

  3. Compute Corr(X1,X2)Corr(X1,X2).

Show all your working.

Homework Answers

Answer #1

Here, X1 & X2 are two random variables that are jointly distributed such that E(X1) = 8,Var(X1) = 2,E(X2) = 12,Var(X2) =3 & Cov(X1 , X2) = -1.

Here, Z = 5X1 - 4X2 -5

So, E(Z) = E( 5X1 - 4X2 -5 )

= 5E(X1) - 4E(X2) - 5 ....................... (By the property of expectation, E(aX + b) = aE(X) + b)

= (58) - (412) - 5

= 40 - 48 - 5

E(Z) = -13

V(Z) = V( 5X1 - 4X2 -5 )

= 25V(X1) - 16V(X2) ............................(By the property of variance, V(aX + b) = a2V(X) )

= (252) - (163)

= 50 - 48

V(Z) = 2

  

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose that X1, X2, . . . , Xn are independent identically distributed random variables with...
Suppose that X1, X2, . . . , Xn are independent identically distributed random variables with variance σ2. Let Y1 = X2 +X3 , Y2 = X1 +X3 and Y3 = X1 + X2. Find the following : (in terms of σ2) (a) Var(Y1) (b) cov(Y1 , Y2 ) (c) cov(X1 , Y1 ) (d) Var[(Y1 + Y2 + Y3)/2]
Let X and Y be jointly distributed random variables with means, E(X) = 1, E(Y) =...
Let X and Y be jointly distributed random variables with means, E(X) = 1, E(Y) = 0, variances, Var(X) = 4, Var(Y ) = 5, and covariance, Cov(X, Y ) = 2. Let U = 3X-Y +2 and W = 2X + Y . Obtain the following expectations: A.) Var(U): B.) Var(W): C. Cov(U,W): ans should be 29, 29, 21 but I need help showing how to solve.
Suppose that X1,X2 and X3 are independent random variables with common mean E(Xi) = μ and...
Suppose that X1,X2 and X3 are independent random variables with common mean E(Xi) = μ and variance Var(Xi) = σ2. Let V= X2−X3 and W = X1− 2X2 + X3. (a) Find E(V) and E(W). (b) Find Var(V) and Var(W). (c) Find Cov(V,W). (d) Find the correlation coefficient ρ(V,W). Are V and W independent?
Let x1, x2 x3 ....be a sequence of independent and identically distributed random variables, each having...
Let x1, x2 x3 ....be a sequence of independent and identically distributed random variables, each having finite mean E[xi] and variance Var(xi). a)calculate the var (x1+x2) b)calculate the var(E[xi]) c) if n-> infinite, what is Var(E[xi])?
If X1 and X2 ~ Normal(0,1) are independent standard normally distributed random variables, Calculate 1) cov(X1,...
If X1 and X2 ~ Normal(0,1) are independent standard normally distributed random variables, Calculate 1) cov(X1, X2) 2) cov(3X1, X2 /3) 3) cov(X1, 0.8X2 + ((1-0.8^2)^0.5) X2) 4) cov(X1, -0.4X2 + ((1-0.4^2)^0.5) X2)
Suppose X1 and X2 are independent expon(λ) random variables. Let Y = min(X1, X2) and Z...
Suppose X1 and X2 are independent expon(λ) random variables. Let Y = min(X1, X2) and Z = max(X1, X2). (a) Show that Y ∼ expon(2λ) (b) Find E(Y ) and E(Z). (c) Find the conditional density fZ|Y (z|y). (d) FindP(Z>2Y).
Suppose that X and Y are two jointly continuous random variables with joint PDF ??,(?, ?)...
Suppose that X and Y are two jointly continuous random variables with joint PDF ??,(?, ?) = ??                     ??? 0 ≤ ? ≤ 1 ??? 0 ≤ ? ≤ √?                     0                        ??ℎ?????? Compute and plot ??(?) and ??(?) Are X and Y independent? Compute and plot ??(?) and ???(?) Compute E(X), Var(X), E(Y), Var(Y), Cov(X,Y), and Cor.(X,Y)
You are given that X1 and X2 are two independent and identically distributed random variables with...
You are given that X1 and X2 are two independent and identically distributed random variables with a Poisson distribution with mean 2. Let Y = max{X1, X2}. Find P(Y = 1).
Let X1, X2 be two normal random variables each with population mean µ and population variance...
Let X1, X2 be two normal random variables each with population mean µ and population variance σ2. Let σ12 denote the covariance between X1 and X2 and let ¯ X denote the sample mean of X1 and X2. (a) List the condition that needs to be satisfied in order for ¯ X to be an unbiased estimate of µ. (b) [3] As carefully as you can, without skipping steps, show that both X1 and ¯ X are unbiased estimators of...
X1 and X2 are iid exponential (2) random variables and Z=max(X1 , X2). What is E[Z]?...
X1 and X2 are iid exponential (2) random variables and Z=max(X1 , X2). What is E[Z]? (Hint: Find CDF and then PDF of Z) A. 3/2 B. 3 C. 1/2 D. 3/4
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT