The random variable x models the total time in hours for an individual to be served by two customer service staff working at the same rate. The probability density function is given by f(x)=4xe^-2x , x>0. 1.Derive the moment generating function 2. Hence or otherwise evaluate the expected service time. 3 find the probability that a customer is served within 1 hour. B. Find the moment generating function of f(x)=1/2e^-|x|, - infinity < x < infinity
The random variable x models the total time in hours for an individual to be served...
7. Let X a be random variable with probability density function given by -1 < x < 1 fx(x) otherwise (a) Find the mean u and variance o2 of X (b) Derive the moment generating function of X and state the values for which it is defined (c) For the value(s) at which the moment generating function found in part (b) is (are) not defined, what should the moment generating function be defined as? Justify your answer (d) Let X1,...
Problem 2 If Xi, X2. ,Xso be independent and idatically distributed with probability density function same as random variable X (x) = 1/2e-2x x > 0 and Y-X1 X2+X Points 5 Points) 5 Points a) Find Moment Generating Function of Y, My(S) b) What is MGF of-2x c What is MGF of 2X +3 Problem 2 If Xi, X2. ,Xso be independent and idatically distributed with probability density function same as random variable X (x) = 1/2e-2x x > 0...
Q 2. The probability density function of the continuous random variable X is given by Shell, -<< 0. elsewhere. f(x) = {&e*, -40<3<20 (a) Derive the moment generating function of the continuous random variable X. (b) Use the moment generating function in (a) to find the mean and variance of X.
(3 points) The random variable X has moment generating function px(t) = (0.55e +1 – 0.55) Provide answers to the following to two decimal places (a) Evaluate the natural logarithm of the moment generating function of 4X at the point t = 0.11. (b) Hence (or otherwise) find the expectation of 4X. (c) Evaluate the natural logarithm of the moment generating function of 4X + 8 at the point t = 0.11. Note: You can earn partial credit on this...
8. Let the random variables X be the sum of independent Poisson distributed random variables, i.e., X = -1 Xi, where Xi is Poisson distributed with mean 1. (a) Find the moment generating function of Xi. (b) Derive the moment generating function of X. (d) Hence, find the probability mass function of X.
(e) A continuous random variable X has the probability density function given by: f(x) = ( 2x/√ k for 0 ≤ x ≤ 2 0 otherwise. i. Show that the constant k equals 16. ii. Find the expected value of X. iii. Find the variance of X. iv. Derive the cumulative distribution function, F(x). v. Calculate P(X < 1 | X < 1.5)
8. Let the random variables X be the sum of independent Poisson distributed random variables, i.e., X = 11-1Xị, where Xi is Poisson distributed with mean li. (a) Find the moment generating function of Xį. (b) Derive the moment generating function of X. (d) Hence, find the probability mass function of X.
Let X be the random variable whose probability density function is f(x) = ce−5x , if x > 0 f(x)=0, if otherwise (a) Find c. (b) Find P(1 ≤ 2X − 1 ≤ 9). (c) Find F(2) where F denotes the c.d.f. of X. (d) Write an equation to find E[3X2 + 15]. You do not have to evaluate it.
Suppose that X has the probability density function f(x) = { 2x 0 < x < 1 0 otherwise Which of the following is the moment generating function of X? 2 et t 2 et t2 2 t2 O t2 2 eet t 2 ett t2 t e eut-1 t
22. Given a continuous random variable X with probability density function f(x) = {2x, if :05451 otherwise a. Find P(0.3< X< 0.6) b. Find the mean of X C. Find the standard deviation of X.