Question

Let Y 1 and Y 2 be defined by the following joint PDF f ( y...

Let Y 1 and Y 2 be defined by the following joint PDF f ( y 1 , y 2 ) = ( 6(1 − y 2 ) 0 < y 1 < y 2 < 1, 0 otherwise

(a) (2 pts) Prove that f ( y 1 , y 2 ) is a valid density function.

(b) (2 pts) Find the marginal PDF of Y 2 .

(c) (2 pts) Use the marginal PDF of Y 2 to find E ( Y 2 ).

(d) (2 pts) Find the conditional PDF of Y 1 | Y 2 = y 2 .

(e) (2 pts) Find E ( Y 1 | Y 2 ) and Var ( Y 1 | Y 2 ), using the named distribution in (d).

(f) (2 pts) Find E ( Y 1 ) and Var ( Y 1 )using the Adam’s and Eve’s laws, respectively.

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

this is the problem of joint distribution function  

Add a comment
Know the answer?
Add Answer to:
Let Y 1 and Y 2 be defined by the following joint PDF f ( 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
  • 8. Let X and Y be a random variable with joint continuous pdf: f(x,y)- 0< y...

    8. Let X and Y be a random variable with joint continuous pdf: f(x,y)- 0< y <1 0, otherwise a. b. c. Find the marginal PDF of X and Y Find the E(X) and Var(X) Find the P(X> Y)

  • 4. Suppose that the joint pdf of the random variables X and Y is given by...

    4. Suppose that the joint pdf of the random variables X and Y is given by f(x, y) = cx^2 + xy 3 , if 0 < x < 1, 0 < y < 2 0, otherwise. (a) Find the constant value (b) Find the marginal pdf of X. Include the support. (c) Find the conditional density function Y given X = x, i.e., f(y|x) (d) Find the conditional expectation E(Y |X = x). (e) Are X and Y independent?...

  • 2. (10 pts) Random variables X and Y have the following joint PDF: 0.1, if both...

    2. (10 pts) Random variables X and Y have the following joint PDF: 0.1, if both 11 and 2S2 Jx( if both Is2 ad Sys; 0, otherwise. (a) Prepare neat, fully labeled sketches of xir (r) (b) Find EKİY=y] and var(X|Y-v). (c) Find E[x (d) Find var(x)using the law of conditional variances.

  • 2. Let the joint pdf of X and Y be given by f(xy)-cx if 0sysxsi Determine that value of c that makes f into a valid pdf. a. Find Pr(r ) b 2 C. Find Prl X d. Find the marginal pdf's of X and Y e....

    2. Let the joint pdf of X and Y be given by f(xy)-cx if 0sysxsi Determine that value of c that makes f into a valid pdf. a. Find Pr(r ) b 2 C. Find Prl X d. Find the marginal pdf's of X and Y e. Find the conditional pdfs of 자리 and ri- f. Are X and Y independent? Give a reason for your answer g. Find E(X), E(Y), and E(X.Y) 2. Let the joint pdf of X...

  • Suppose X and Y have the joint pdf f (x, y) = 3y, 0 < y...

    Suppose X and Y have the joint pdf f (x, y) = 3y, 0 < y < 1, y − 1 < x < 1 − y 0 otherwise a) Give an expression for P (X > Y ). b) Find the marginal pdfs for Y . c) Find the conditional pdf of X given Y = y, where 0 < y < 1. d) Give an expression for E[XY ]. e) Are X and Y independent?

  • Let the random variables X, Y with joint probability density function (pdf) fxy(z, y) = cry,...

    Let the random variables X, Y with joint probability density function (pdf) fxy(z, y) = cry, where 0 < y < z < 2. (a) Find the value of c that makes fx.y (a, y) a valid pdf. (b) Calculate the marginal density functions for X and Y (c) Find the conditional density function of Y X (d) Calculate E(X) and EYIX) (e Show whether X. Y are independent or not.

  • 2. Let the pair (X,Y) have joint PDF fxy(x, y) = c, with 2.2 + y2...

    2. Let the pair (X,Y) have joint PDF fxy(x, y) = c, with 2.2 + y2 <1. (a) Find c and the marginal PDFs of X and Y. (b) What are the means of X and Y ? No calculations are needed, only a brief expla- nation is required. (c) Find the conditional PDF of Y given X = x and deduce E|Y|X = x]. (d) Obtain E(XY) and compare it to E[X]E[Y). (e) Are X and Y independent? Explain....

  • Let X and Y be a random variable with joint PDF: f X Y ( x...

    Let X and Y be a random variable with joint PDF: f X Y ( x , y ) = { a y x 2 , x ≥ 1 , 0 ≤ y ≤ 1 0 otherwise What is a? What is the conditional PDF of given ? What is the conditional expectation of given ? What is the expected value of ? Let X and Y be a random variable with joint PDF: fxv (, y) = {&, «...

  • 4. (14 pts) The joint pdf of X and Y is given by: (x + cya,...

    4. (14 pts) The joint pdf of X and Y is given by: (x + cya, 0 SX S1,0 Sys1 fxy(x, y) = otherwise For this question, it may be useful draw the region in the X, Y plane where the pdf is non- zero to help you determine the limits of the integrals. (a) Find the value of the constant c. (b) Find the marginal pdfs of X and Y, respectively. (c) Find the probability that both X and...

  • 2. Let the random variables X and Y have the joint PDF given below: 2e -y...

    2. Let the random variables X and Y have the joint PDF given below: 2e -y 0 xyo0 fxy (x, y) otherwise 0 (a) Find P(X Y < 2) (b) Find the marginal PDFs of X and Y (c) Find the conditional PDF of Y X x (d) Find P(Y< 3|X = 1)

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