Question

The range of a discrete random variable X is {−1, 0, 1}. Let MX (t) be...

The range of a discrete random variable X is {−1, 0, 1}. Let MX (t) be the moment generating function of X, and let MX(1) = MX(2) = 0.5. Find the third moment of X, E(X^3).

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
The range of a discrete random variable X is {−1, 0, 1}. Let MX(t) be the...
The range of a discrete random variable X is {−1, 0, 1}. Let MX(t) be the moment generating function of X, and let MX(1) = MX(2) = 0.5. Find the third moment of X, E(X^3 )
(i) If a discrete random variable X has a moment generating function MX(t) = (1/2+(e^-t+e^t)/4)^2, all...
(i) If a discrete random variable X has a moment generating function MX(t) = (1/2+(e^-t+e^t)/4)^2, all t Find the probability mass function of X. (ii) Let X and Y be two independent continuous random variables with moment generating functions MX(t)=1/sqrt(1-t) and MY(t)=1/(1-t)^3/2, t<1 Calculate E(X+Y)^2
The moment generating function for the random variable X is MX(t) = (e^t/ (1−t )) if...
The moment generating function for the random variable X is MX(t) = (e^t/ (1−t )) if |t| < 1. Find the variance of X.
Suppose that the moment generating function of a random variable X is of the form MX...
Suppose that the moment generating function of a random variable X is of the form MX (t) = (0.4e^t + 0.6)8 . What is the moment generating function, MZ(t), of the random variable Z = 2X + 1? (Hint: think of 2X as the sum two independent random variables). Find E[X]. Find E[Z ]. Compute E[X] another way - try to recognize the origin of MX (t) (it is from a well-known distribution)
Given f(x) = ( c(x + 1) if 1 < x < 3 0 else as...
Given f(x) = ( c(x + 1) if 1 < x < 3 0 else as a probability function for a continuous random variable; find a. c. b. The moment generating function MX(t). c. Use MX(t) to find the variance and the standard deviation of X.
Let X be a discrete random variable with the range RX = {1, 2, 3, 4}....
Let X be a discrete random variable with the range RX = {1, 2, 3, 4}. Let PX(1) = 0.25, PX(2) = 0.125, PX(3) = 0.125. a) Compute PX(4). b) Find the CDF of X. c) Compute the probability that X is greater than 1 but less than or equal to 3.
Let X be a normal random variance with media 1 and variance 4. Consider a new...
Let X be a normal random variance with media 1 and variance 4. Consider a new variance A random variable T defined below: T = -1 if X < -2 T = 0 if - 2 ≤ X ≤ 0 T = 1 if x>0 Find the moment generating function of T and, from it, calculate E (T) and Var (T).
Q6/   Let X be a discrete random variable defined by the following probability function x 2...
Q6/   Let X be a discrete random variable defined by the following probability function x 2 3 7 9 f(x) 0.15 0.25 0.35 0.25 Give   P(4≤  X < 8) ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ Q7/ Let X be a discrete random variable defined by the following probability function x 2 3 7 9 f(x) 0.15 0.25 0.35 0.25 Let F(x) be the CDF of X. Give  F(7.5) ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ Q8/ Let X be a discrete random variable defined by the following probability function : x 2 6...
Let x be a discrete random variable with the following probability distribution x: -1 , 0...
Let x be a discrete random variable with the following probability distribution x: -1 , 0 , 1, 2 P(x) 0.3 , 0.2 , 0.15 , 0.35 Find the mean and the standard deviation of x
a. Show that MmX +n (t) = ent MX (tm), for any constants m and n...
a. Show that MmX +n (t) = ent MX (tm), for any constants m and n and the moment generating function for X being MX b. If X is a geometric random variable with p in (0,1).Compute the moment generating function of X. Determine the μ and σ2 from the moment generating function.