Question 18:
a) Compute the moment generating function, MGF, of a normal random variable X with mean µ and standard deviation σ.
b) Use your MGF from part a) to find the mean and variance of X.
thank you please thumb up
Question 18: a) Compute the moment generating function, MGF, of a normal random variable X with...
(4 marks The moment generating function (mgf) of a random variable X is given by (a) Use the mgf to find the mean and variance of X (b) What is the probability that X = 2?
6. (4 marks) The moment generating function (mgf) of a random variable X is given by m(t)-e2 (a) Use the mgf to find the mean and variance of X (b) What is the probability that X-2?
Random variable X has MGF(moment generating function) gX(t) = , t < 1. Then for random variable Y = aX, some constant a > 0, what is the MGF for Y ? What is the mean and variance for Y ?
The moment generating function (MGF) for a random variable X is: Mx (t) = E[e'X]. Onc useful property of moment generating functions is that they make it relatively casy to compute weighted sums of independent random variables: Z=aX+BY M26) - Mx(at)My (Bt). (A) Derive the MGF for a Poisson random variable X with parameter 1. (B) Let X be a Poisson random variable with parameter 1, as above, and let y be a Poisson random variable with parameter y. X...
a) Find the moment generating function (mgf) of X. b) Using part a), that is the mgf of X, find the expected value (E[X]) and (V ar[X]). Let X be a random variable such that -1, with probability q 1 with probability 1-q,
(3 marks) The moment generating function of a random variable X is given by MX(t) = 24 20 < - In 0.6. Find the mean and standard deviation of X using its moment generating function.
The moment generating function of a random variable X is as follows: 1-Xt Find the probability that X is within 0.5 standard deviation from its mean.
5. Find the moment generating function of the continuous random variable X whose a. probability density is given by )-3 or 36 0 elsewhere find the values of μ and σ2. b, Let X have an exponential distribution with a mean of θ = 15 . Compute a. 6. P(10 < X <20); b. P(X>20), c. P(X>30X > 10), the variance and the moment generating function of x. d.
A random variable X has moment generating function (MGF) Problem 1. Mx(s) = (n-0.2 + 0.2e2")2 (a) Determine what a should be. (b) Determine E[X].
(6) (15 points) The moment generating function for a normal random variable N (17,0?) is given by M(t) =e(+rt). Given Y with pdf N (4,0%), show that, if X and Y are independent, then the random variable 2 = x + Y is normally distributed with variance o + oz and mean 41 + 12. Please state clearly which properties of the moment generating function you are using.