Question

Let (X1, X2) have joint pdf f(x1, x2) = (2/9)x1x22, 0 <= x1 <= 1, 0...

Let (X1, X2) have joint pdf

f(x1, x2) = (2/9)x1x22, 0 <= x1 <= 1, 0 <= x2 <= 3

(i) What is the distribution of Y = X1 + X2?

(ii) What is the distribution of Y = X1 * X2?

(iii) Find the expectation E(X1 + X2)

(iv) Find the expectation E(X1X2)

Homework Answers

Answer #1

The joint probability distribution is:

We can easily see that x1 and x2 are separable and therefore independent variables. The probability distributions for X1 and X2 are

We can verify that the area under both the random variables is 1.

(i) As they are independent, the distribution of Y = X1 + X2 can be obtained by convolution.

(iI) The distribution of product of the independent random variables is given by:

To find the expected values, we have to find expected values of each random variable first.

So, E(Y) = E(X1) + E(X2)

(iv) E(Y) = E(X1)*E(X2)

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
Let X1 and X2 have the joint pdf f(x1,x2) = 8x1x2    0<x1 <x2 <1 0....
Let X1 and X2 have the joint pdf f(x1,x2) = 8x1x2    0<x1 <x2 <1 0. elsewhere What are the marginal pdfs of x1 and x2? Find the expected values of x1 and x2. 3.   What is the expected value of X1X2? (Hint: Define g(X1, X2) = X1X2 and extend the definition of expectation of function of a random variable to two variables as follows: E[g(X1, X2)] = ? ? g(x1, x2)f(x1, x2)dx1dx2. 4. Suppose that Y = X1/X2. What...
(i) Find the probability P(0<X1<1/3 , 0<X2<1/3) where X1, X2 have the joint pdf                    f(x1, x2)...
(i) Find the probability P(0<X1<1/3 , 0<X2<1/3) where X1, X2 have the joint pdf                    f(x1, x2) = 4x1(1-x2) ,     0<x1<1  0<x2<1                                       0,                  otherwise (ii) For the same joint pdf, calculate E(X1X2) and E(X1+ X2) (iii) Calculate Var(X1X2)
if X1, X2 have the joint pdf f(x1, x2) = 4x1(1-x2) ,     0<x1<1 0<x2<1 and...
if X1, X2 have the joint pdf f(x1, x2) = 4x1(1-x2) ,     0<x1<1 0<x2<1 and 0,                  otherwise 1- Find the probability P(0<X1<1/3 , 0<X2<1/3) 2- For the same joint pdf, calculate E(X1X2) and E(X1 + X2) 3- Calculate Var(X1X2)
Let X1 and X2 be independent random variables with joint pdf f(x1, x2) =x1e^−(x1+x2), 0< x1<∞,...
Let X1 and X2 be independent random variables with joint pdf f(x1, x2) =x1e^−(x1+x2), 0< x1<∞, 0< x2<∞. Y1= 2X1 and Y2=X2−X1. I) Find g(y1, y2), the joint pdf of Y1, Y2 Include and draw the support. II) Find g1(y1), the marginal pdf of Y1. III) Find E(Y1).
Let X =( X1, X2, X3 ) have the joint pdf f(x1, x2, x3)=60x1x22, where x1...
Let X =( X1, X2, X3 ) have the joint pdf f(x1, x2, x3)=60x1x22, where x1 + x2 + x3=1 and xi >0 for i = 1,2,3. find the distribution of X1 ? Find E(X1).
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf...
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf                     f(x1, x2) = 12x1x2(1-x2) , 0 < x1 <1   0 < x2 < 1 , otherwise             (ii) Calculate E(X1) and E(X2)     (iii) Are the variables X1 ­and X2 stochastically independent? Given the variables in question 1, find the conditional p.d.f. of X1 given 0<x2< ½ and the conditional expectation E[X1|0<x2< ½ ].
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf...
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf f(x1, x2) = 12x1x2(1-x2) , 0 < x1 <1 0 < x2 < 1 0 , otherwise (ii) Calculate E(X1) and E(X2) (iii) Are the variables X1 ¬and X2 stochastically independent?
Let f(x1, x2) = 1 , 0 ≤ x1 ≤ 1 , 0 ≤ x2 ≤...
Let f(x1, x2) = 1 , 0 ≤ x1 ≤ 1 , 0 ≤ x2 ≤ 1 be the joint pdf of X1 and X2 . Y1 = X1 + X2 and Y2 = X2 . (a) E(Y1) . (b) Var(Y1) (c) Consider the marginal pdf of Y1 , g(y1) . What is value of g(y1) where y1 = 1/3 and y1 = 6/4 ?
4. (i) Find the marginal probability distributions for the random variables X1 and X2 with joint...
4. (i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf                     f(x1, x2) = 12x1x2(1-x2) , 0 < x1 <1   0 < x2 < 1 , otherwise             (ii) Calculate E(X1) and E(X2)     (iii) Are the variables X1 ­and X2 stochastically independent?
LetX1 andX2 have joint density function f(x1,x2) =( 30x1x2^2, x1 −1≤ x2 ≤1−x1, 0≤ x1 ≤1,...
LetX1 andX2 have joint density function f(x1,x2) =( 30x1x2^2, x1 −1≤ x2 ≤1−x1, 0≤ x1 ≤1, 0 otherwise. (a) Find the marginal density of X1. (b) Find the marginal density of X2. (c) Are X1 and X2 independent?(why/why not) (d) Find the conditional density of X2 given X1 = x1 (e) Compute Cov(X1,X2)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT