Question

Let random variable X ∼ U(0, 1). Let Y = a + bX, where a and...

Let random variable X ∼ U(0, 1). Let Y = a + bX, where a and b are constants.

(a) Find the distribution of Y .

(b) Find the mean and variance of Y .

(c) Find a and b so that Y ∼ U(−1, 1).

(d) Explain how to find a function (transformation), r(), so that W = r(X) has an exponential distribution with pdf f(w) = e^ −w, w > 0.

Homework Answers

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
a) Suppose that X is a uniform continuous random variable where 0 < x < 5....
a) Suppose that X is a uniform continuous random variable where 0 < x < 5. Find the pdf f(x) and use it to find P(2 < x < 3.5). b) Suppose that Y has an exponential distribution with mean 20. Find the pdf f(y) and use it to compute P(18 < Y < 23). c) Let X be a beta random variable a = 2 and b = 3. Find P(0.25 < X < 0.50)
Let X be a random variable of the mixed type having the distribution function F (...
Let X be a random variable of the mixed type having the distribution function F ( x ) = 0 w h e r e x < 0 F ( x ) = x 2 4 w h e r e 0 ≤ x < 1 F ( x ) = x + 1 4 w h e r e 1 ≤ x < 2 Question 1: Find the mean of X Question 2: Find the variance of X Question...
Let X and Y be random variable follow uniform U[0, 1]. Let Z = X to...
Let X and Y be random variable follow uniform U[0, 1]. Let Z = X to the power of Y. What is the distribution of Z?
Let X ∼ UNIF(0, 1). Find the pdf of Y = −5 ln(X) using the transformation...
Let X ∼ UNIF(0, 1). Find the pdf of Y = −5 ln(X) using the transformation technique. Note that Y is an exponential random variable. What is its parameter? Show your work.
Suppose the random variable (X, Y ) has a joint pdf for the form ?cxy 0≤x≤1,0≤y≤1...
Suppose the random variable (X, Y ) has a joint pdf for the form ?cxy 0≤x≤1,0≤y≤1 f(x,y) = . 0 elsewhere (a) (5 pts) Find c so that f is a valid distribution. (b) (6 pts) Find the marginal distribution, g(x) for X and the marginal distribution for Y , h(y). (c) (6 pts) Find P (X > Y ). (d) (6 pts) Find the pdf of X +Y. (e) (6 pts) Find P (Y < 1/2|X > 1/2). (f)...
Problem 1 Let X be an exponential random variable with mean 4. Let Y = X2....
Problem 1 Let X be an exponential random variable with mean 4. Let Y = X2. (a) Find the mean of Y . (b) Find the variance of Y .
Let X be a random variable with pdf given by fX(x) = Cx2(1−x)1(0 < x <...
Let X be a random variable with pdf given by fX(x) = Cx2(1−x)1(0 < x < 1), where C > 0 and 1(·) is the indicator function. (a) Find the value of the constant C such that fX is a valid pdf. (b) Find P(1/2 ≤ X < 1). (c) Find P(X ≤ 1/2). (d) Find P(X = 1/2). (e) Find P(1 ≤ X ≤ 2). (f) Find EX.
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y)...
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y) = 1(0 < x < 1,0 < y < 1). (a) Find P(X + Y ≤ 1). (b) Find P(|X −Y|≤ 1/2). (c) Find the joint cdf F(x,y) of (X,Y ) for all (x,y) ∈R×R. (d) Find the marginal pdf fX of X. (e) Find the marginal pdf fY of Y . (f) Find the conditional pdf f(x|y) of X|Y = y for 0...
Let X be an exponential random variable. Suppose E[X|X>a]=b, where b>a>0 are two constants. Compute the...
Let X be an exponential random variable. Suppose E[X|X>a]=b, where b>a>0 are two constants. Compute the probability P(X>a|X>a).
Let X be a random variable with pdf f(x)=12, 0<x<2. a) Find the cdf F(x). b)...
Let X be a random variable with pdf f(x)=12, 0<x<2. a) Find the cdf F(x). b) Find the mean of X. c) Find the variance of X. d) Find F (1.4). e) Find P(12<X<1). f) Find PX>3.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT