Question

Problem 2 Suppose two continuous random variables (X, Y) ~ f(x,y). (1) Prove E(X +Y) = E(X)+ E(Y). (2) Prove Var(X + Y) = Var

0 0
Add a comment Improve this question Transcribed image text
Answer #1

TOPIC:Properties of expectation,variance and covariance.

Prroblem- 2 Aefine two contnuous pandom vanlab les as 1 we haug E(Rty) + d xdxdy FRIN X X + xp p Ar S+r (x) +E() Provew and s(x+). van (21 2 () +ElY +2xY t X -E () t2 E (R) E E(2 E(). El) tE 2 + E(Ky)E() +2 (x) +van(Y) 2 Cov (x,y) =Van T:var =E (x) -Cov (x) (3J E x y-XE() - E (x). Y tE (x). E() 1 E ()EE E +E (x).EC) E (xY)E (x). E ()E (x).E te ()) (xY)E (x) E CY)indepen dent (4) x and y ane then, Then Cov (x, (xyE (K). E () = E (x). E (Y) - E Cx). E C) E (xy) E (x). Elv) (2ue indupendehny a1,8, 0, Ondtaily Cov (ax tb, ey d) me ac xy t ad x tbe y tb . E (xy) +ad E M) be - EalN-ep -ad ac E 2ac. Cov (x,Y ac (Pr

Add a comment
Know the answer?
Add Answer to:
Problem 2 Suppose two continuous random variables (X, Y) ~ f(x,y). (1) Prove E(X +Y) =...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 2. Suppose X and Y are independent continuous random variables. Show that P(Y < X) =...

    2. Suppose X and Y are independent continuous random variables. Show that P(Y < X) = | Fy(x) · fx (x) dx -oo where Fy is the CDF of Y and fx is the PDF of X [hint: P[Y E A] = S.P(Y E A|X = x) · fx(x) dx]. Rewrite the above equation as an expectation of a function of X, i.e. P(Y < X) = Ex[•]. Use the above relation to compute P[Y < X] if X~Exp (2)...

  • 4. Recall that the covariance of random variables X, and Y is defined by Cov(X,Y) =...

    4. Recall that the covariance of random variables X, and Y is defined by Cov(X,Y) = E(X - Ex)(Y - EY) (a) (2pt) TRUE or FALSE (circle one). E(XY) 0 implies Cov(X, Y) = 0. (b) (4 pt) a, b, c, d are constants. Mark each correct statement ( ) Cov(aX, cY) = ac Cov(X, Y) ( ) Cor(aX + b, cY + d) = ac Cov(X, Y) + bc Cov(X, Y) + da Cov(X, Y) + bd ( )...

  • 2. Let X and Y be two random variables with a joint distribution (discrete or continuous)....

    2. Let X and Y be two random variables with a joint distribution (discrete or continuous). Prove that Cov(X,Y)= E(XY) - E(X)E(Y). (15 points) 3. Explain in detail how we can derive the formula Var(X) = E(X) - * from the formula in Problem 2 above. (Please do not use any other method of proof.) (10 points)

  • 2. Suppose X and Y are continuous random variables with joint density function f(x, y) =...

    2. Suppose X and Y are continuous random variables with joint density function f(x, y) = 1x2 ye-xy for 1 < x < 2 and 0 < y < oo otherwise a. Calculate the (marginal) densities of X and Y. b. Calculate E[X] and E[Y]. c. Calculate Cov(X,Y).

  • Let X and Y be continuous random variables with joint distribution function F(x, y), and let...

    Let X and Y be continuous random variables with joint distribution function F(x, y), and let g(X, Y ) and h(X, Y ) be functions of X and Y . Prove the following: (a) E[cg(X, Y )] = cE[g(X, Y )]. (b) E[g(X, Y ) + h(X, Y )] = E[g(X, Y )] + E[h(X, Y )]. (c) V ar(a + X) = V ar(X). (d) V ar(aX) = a 2V ar(X). (e) V ar(aX + bY ) = a...

  • Problem #5 (20 points) - Quotient of Two Random Variables Suppose that X and Y are...

    Problem #5 (20 points) - Quotient of Two Random Variables Suppose that X and Y are independent positive continuous random variables with pdfs fx(x) and fy (y) and suppose that Z = X/Y. Show that the pdf of Z can be computed from the pdfs fx(x) and fy(y), using fz(2) = fx(yz)fy(y)ydy.

  • X and Y are random variables (a) Show that E(X)=E(B(X|Y)). (b) If P((X x, Y )...

    X and Y are random variables (a) Show that E(X)=E(B(X|Y)). (b) If P((X x, Y ) P((X x})P({Y y)) then show that E(XY) = E(X)E(Y), i.e. if two random variables are independent, then show that they are uncorrelated. Is the reverse true? Prove or disprove (c) The moment generating function of a random variable Z is defined as ΨΖφ : Eez) Now if X and Y are independent random variables then show that Also, if ΨΧ(t)-(λ- (d) Show the conditional...

  • a. Suppose X and Y are continuous random variables with joint denisty f(x,y). Prove that the...

    a. Suppose X and Y are continuous random variables with joint denisty f(x,y). Prove that the density of X+Y is given by: Use part (a) to show that if X,Y are independent and standard Gauss-ian (i.e.N(0,1)) then X+Yi s centered Gaussian with variance 2 that is N(0,2). fx+r(t) = { $(8,6 – u)dt

  • Let X and Y be independent normal random variables with parameters E[X] =ux, E[Y] = uy...

    Let X and Y be independent normal random variables with parameters E[X] =ux, E[Y] = uy and Var(X) = x, Var(Y) = Oy. Indicate whether each of the following statements is true or false. Notation: fx,y (x, y), fx(x), fy (v) denote the joint and marginal PDFs of X and Y , respectively; $(x) is the CDF of a standard normal random variable with zero mean and unit variance. E[XY]=0

  • 2. A continuous random variable has joint pdf f(x, y): xy 0 x 1, 0sys 2...

    2. A continuous random variable has joint pdf f(x, y): xy 0 x 1, 0sys 2 f(x, y) otherwise 0 a) Find c b) Find P(X Y 1) b) Find fx(x) and fy(v) c) Are X and Y independent? Justify your answer d) Find Cov(X, Y) and Corr(X, Y) e) Find fxiy (xly) and fyixylx)

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT