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Old November 4th, 2009, 06:29 PM
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Default Moment Generating Function

Can someone explain to me how this problem works?

Given the moment generating function Mx(t)=e^(3t+8t^2), find the moment generating function of the random variable Z=1/4(X-3) and use it to determine the mean and the variance of Z.

I don't understand why its asking you to find another mgf if one is given to you already. Thanks!
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  #2  
Old November 4th, 2009, 06:33 PM
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Can someone explain to me how this problem works?

Given the moment generating function Mx(t)=e^(3t+8t^2), find the moment generating function of the random variable Z=1/4(X-3) and use it to determine the mean and the variance of Z.

I don't understand why its asking you to find another mgf if one is given to you already. Thanks!
See 6.7 here: http://www.am.qub.ac.uk/users/g.gribakin/sor/Chap6.pdf
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  #3  
Old November 5th, 2009, 12:32 AM
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Mx(t)=e^(3t+8t^2) is the MGF of X

you are asked to get the MGF of Z=X/4-3/4 if I understand your ().
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Old November 7th, 2009, 09:09 PM
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Originally Posted by matheagle View Post
Mx(t)=e^(3t+8t^2) is the MGF of X

you are asked to get the MGF of Z=X/4-3/4 if I understand your ().
Hm, so I read through what was posted and my textbook, but I still don't quite understand. So I have the MGF of X, then to get the MGF of Z do I need to integrate Z from negative to positive infinity and somehow subsitute in X? This is really confusing me, any help is appreciated thanks!
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Old November 7th, 2009, 09:24 PM
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Just substitute, or recognize the distribution of X and use that.

Z=X/4-3/4

So M_Z(t)=E(e^{Zt})=E(e^{(X/4-3/4)t})=e^{(-3/4)t}E(e^{Xt/4})

=e^{(-3/4)t}E(e^{X(t/4)})=e^{(-3/4)t}M_X(t/4)

Plug in t/4 for t in the mgf of X and examine what you have.
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Old November 7th, 2009, 09:32 PM
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Originally Posted by xuyuan View Post
Hm, so I read through what was posted and my textbook, but I still don't quite understand. So I have the MGF of X, then to get the MGF of Z do I need to integrate Z from negative to positive infinity and somehow subsitute in X? This is really confusing me, any help is appreciated thanks!
You're probably expected to know and apply the result found at the bottom of page 1 here: http://web.as.uky.edu/statistics/use...320u04/mgf.pdf

In fact, it's the same result that I refered you to in my first reply. Did you in fact bother to click on the link and look at it?
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Old November 8th, 2009, 12:30 PM
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Hi, I've been working on the same problem and came to the answer
Mz(t)=e^[(4/5)t^2]

Is this the answer that you came to?
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Old November 8th, 2009, 12:45 PM
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Hi, I've been working on the same problem and came to the answer
Mz(t)=e^[(4/5)t^2]

Is this the answer that you came to?
I get a different answer. Please pm me your working.
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Old November 8th, 2009, 12:53 PM
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Oopsie!! I just went over my calculation and realized I made a mistake. My new answer is

Mz(t)=e^[(1/2)t^2]

Is that correct?
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Old November 8th, 2009, 01:04 PM
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Originally Posted by nnnikii View Post
Oopsie!! I just went over my calculation and realized I made a mistake. My new answer is

Mz(t)=e^[(1/2)t^2]

Is that correct?
Yes.
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Old November 8th, 2009, 04:32 PM
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The point of this problem is that a linear transformation of a normal is a normal.
The mean and variance should be easy to calculate directly.
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