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- a. Explain the difference between the method of moment generating function and the method of incarnation to find the probability density function of a random variable b. Let X1, X2, X3 ,,,,, each of them has Poisson distribution with parameter lamda 1, lamda2, lamda3,........ i. Get the probability distribution of Y=X1+X2+....Xn ii. Get the mean and variance of Y c. Y1 and Y2 be a joint probability function as shown below in the screenshot imageU=Y1/(Y1+Y2), Using the method of incarnation (Jacobian), find the probability density function of UX is a continuous random variable with probability density function of f(x) = k(6x-3x^2), 0<=x<=2 a. Show that k = 1/4 makes f(x) a valid probability density function. b. using k = 1/4, find the mean of X. c. Using k=1/4, find the cumulative distribution function F(x) of X. (Include the appropriate domain.)A continuous random variable X has the probability density function f(x) so that f(x) is 0 for x≤≤≤≤0; f(x)=x for 0<x ≤ 1; f(x)= 2-x for 1<x≤ 2 and f(x) = 0 for x>2. Find the probability that X is at most 1/4.
- The probability density of the random variable Z isgiven by f(z) = kze−z2for z > 00 for z F 0Find k and draw the graph of this probability density.A zero-mean stationary Gaussian random process X(t) has power spectral density S_x(f). Determine the probability density function of a random variable obtained by observing the process X(t) at some time t_kA continuous random variable X has a uniform distribution on the interval [−3,3]. Sketch the graph of its density function.
- Let X have a probability density function A) Let Y = X1 + X2 + … + X25 be the sum of a random sample of size 25 from the distribution whose pdf is f(x). Approximate P[12 < Y < 21]. B) Let Yn = X1 + X2 + … + Xn be the sum of a random sample of size n from the distribution whose pdf is f(x). Discuss lim n->infinity P[-14.4 < Yn < 28.8]A service station has both self-service and full-service islands. On each island, there is asingle regular unleaded pump with two hoses. Let X denote the number of hoses beingused on the self-service island at a particular time and let Y denote the number of hoses onthe full-service island in use at that time. The joint probability mass function of X and Y isgiven below: X Y0 1 20 0.10 0.04 0.021 0.08 0.20 0.062 0.06 0.14 0.30a. Find the marginal probability mass function of X and Yb. Give the verbal description the event (X≠0 and Y≠0) and compute the probability of this eventFind the moment generating function MU(t) for the standard uniform random variable U (the continuous random variable whose density function is 1 on [0,1] and 0 elsewhere)
- Find the moment-generating function of the continuous random variable X whose probability density is given by f(x) = 1 for 0 < x < 1 0 elsewhere and use it to find μ’1,μ’2, and σ^2.a) Find the moment generating function MX(t) for a discrete random variable X that takes the value -1 with probability 1/2 and takes the value +1 with probability 1/2. b) Find the moment generating function MU(t) for the standard uniform random variable U (the continuous random variable whose density function is 1 on [0,1] and 0 elsewhere). c) Find the moment generating function ME(t) for an exponential random variable with parameter (lambda) = 1. Sketch the graph of ME(t).A continuous random variable has probability density function given by K(2x-3);1<x2 Find k if f(x) is a probability density function