If a random variable X has the Poisson distribution p(x;μ) = e¯ μ*/x! for x = 0, 1, 2, ..., then the moment-generating function of X is Mx (t) = e (et - 1). Suppose the moment-generating function of a certain Poisson random variable X is given by Mx (t) = e4 (e²-1). Find P(μ-20
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- Let X be a discrete random variable with range Rx = {0, ,}, such that Px(0) = Px() = Px() = Px() = Px(*) = . Find Elsin(X). %3Dlet x be a random variable with moment generating function Mx(t)=(0.6 + 0.4e^t)^20 then the variance of x isFind P(X=4) if X has a Poisson distribution such that 3P(X=1)=P(X=2)
- Let X and Y be independent exponential random variables with parameter 1. Find the cumulativedistribution function of Z = X/(X + Y )Let X be a Poisson random variable with parameter k. (a) Show that the moment generating function for X is given by ?? (?) = ?^(?(?^?−1)) (b) Show that E(X) = k. (c) Show that Var (X) = k.The random variable 'X' has the Poisson distribution Po(m) and P(X=5) = P(X=4) + P(X=3). Find the value of 'm' and P(X>2) * 6.72 and 0.876 6.72 and 0.982 7.62 and 0.876 O 7.62 and 0.982
- b) A random variable X follows an exponential distribution, X~Exp(0), with parameter 0 > 0. Find the cumulative distribution function (CDF) of X. i) ii) Show that the moment generating function (MGF) of X is M(t) = iii) Use the MGF in (ii) to find the mean and variance of X.Suppose that X and Y are random variables where the conditional expected value of Y given X is given by E(Y|X)= 4X²+2X+3 If X~Po(1) is a poisson variable with the parameter A = 3 determine the expected value E(Y) of Y.(6) Let X be a Poisson random variable with parameter 0, then E(X²) = 1. От T O F
- Develop a random variate generator for a random variable X with the pdf if 0If pdf of a random variable is given by fx(x) = e* for x20 find My(v), m, and m,. XA poisson random variables has f(x,3)= 3x e-3÷x! ,x= 0,1.......,∞. find the probabilities for X=0 1 2 3 4 and also find mean and variance from f(x,3).?SEE MORE QUESTIONS