3. Let X1, X2,..., be a sequence of independent and identically distributed random variables. Let N be Poisson distributed with mean u and is independent of the X,'s. Define N W = -ΣΧ. i=1 We define W = 0 if N = 0. (a) Suppose each X; is normally distributed with mean 0 and variance 1. Work out the moment generating function for W given N. [4 marks] (b) Show that the moment generating function of W is given by Mw (t) = exp(ue/2 - µ), te R. [5 marks] (c) Calculate the mean and variance of W. [5 marks] (d) Now consider Z = NX1. Find the mean and variance of Z. [6 marks]

MATLAB: An Introduction with Applications
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3. Let X1, X2,..., be a sequence of independent and identically distributed random
variables. Let N be Poisson distributed with mean u and is independent of the
X,'s. Define
N
W =EX;.
i=1
We define W = 0 if N = 0.
(a) Suppose each X; is normally distributed with mean 0 and variance 1. Work
out the moment generating function for W given N.
[4 marks]
(b) Show that the moment generating function of W is given by
Mw (t) = exp(ue"2 - ), t eR.
[5 marks]
(c) Calculate the mean and variance of W.
[5 marks]
(d) Now consider Z = NX1. Find the mean and variance of Z.
[6 marks]
Transcribed Image Text:3. Let X1, X2,..., be a sequence of independent and identically distributed random variables. Let N be Poisson distributed with mean u and is independent of the X,'s. Define N W =EX;. i=1 We define W = 0 if N = 0. (a) Suppose each X; is normally distributed with mean 0 and variance 1. Work out the moment generating function for W given N. [4 marks] (b) Show that the moment generating function of W is given by Mw (t) = exp(ue"2 - ), t eR. [5 marks] (c) Calculate the mean and variance of W. [5 marks] (d) Now consider Z = NX1. Find the mean and variance of Z. [6 marks]
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