Moments and Moment-gen. function.

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Discussion Overview

The discussion revolves around problems related to probability theory, specifically focusing on the properties of random variables, their transformations, and moment generating functions. Participants are seeking assistance with two specific problems involving the standardization of a random variable and the calculation of a moment generating function.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant presents a problem involving a random variable X and its transformation to Z, defined as Z = (X - U) / S, and seeks to demonstrate that E(Z) = 0 and Var(Z) = 1.
  • Another participant suggests that direct calculation can yield the results for the first problem.
  • For the second problem, a participant provides the probability density function and proposes that the moment generating function Mx(t) can be derived as Mx(t) = 1 / (1 - t^2).
  • There is a discussion about the integration ranges for the split integrals derived from the second problem, with one participant noting that the ranges are (-∞, 0) for the +x integral and (0, ∞) for the -x integral.
  • One participant expresses confusion about the multiplication of terms involving 1/2 and the moment generating function, asking for clarification on how to proceed.
  • Another participant suggests a simpler approach to finding E(Z) and Var(Z) using properties of expectations and variances.

Areas of Agreement / Disagreement

Participants are engaged in a collaborative exploration of the problems, with some agreement on the methods to approach the calculations. However, there remains uncertainty regarding the integration ranges and the specific steps to take in the calculations, indicating that the discussion is not fully resolved.

Contextual Notes

Participants have not fully clarified the assumptions regarding the integration ranges for the moment generating function, nor have they resolved the specific steps needed to demonstrate the properties of Z. There is also ambiguity in the handling of constants in the calculations.

SithV
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Hi people!

Im having problems with my Prob.Theor. assignment=(
I was hoping that u might be able to help me...

I have 2 problems that i ve no idea how to solve!Oo

Heres 1st one
We re given rand. var. X, its mean value U, the stand deviation S (sigma).
We need to show that E(z)=0 and var(z)=1
if the relation between X and Z is this eq. Z=X-U/S

2nd
Show if a rand. var. has the prob. density
f(x)=1/2*Exp[-lxl] -inf<X<inf
lxl-abs value
then its moment gen func. is
Mx(t)=1/1-t^2

im not sure about this one bu here's what i got
we re using the formula from the definition
and gettin this
1/2(Int[Exp[tx]*Exp[-lxl]) -inf<X<inf

but lxl=+-x

then we get 2 integrals
1/2(Int[Exp[tx]*Exp[-x])
and
1/2(Int[Exp[tx]*Exp[x])
both in -inf<X<inf

now if we integrate it we get
1/2Exp[x(t-1)]/t-1
and
1/2Exp[x(t+1)]/t+1
both in -inf<X<inf

whats next?=(

Would appreciate any help!=(
 
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For your first problem z=(x-U)/S. Direct calculation will give you the results.

For your second problem, the ranges of integration of the split integrals are (-∞,0) for the +x integral and (0,∞) for the -x integral. Plug in x=0 and the resulting terms (be careful of signs) add to get the answer.
 
Ok, i think i got the second one.., but what do i do with 1/2 in front of 1/1+t and 1/1-t when i multiply them?

Now the to first one. You mean i need to integrate it? Like this: Int[Z*(X-U)/S], but what range do i pick?
And then var(Z) i can find from S^2=U'2-U^2
which is S=Sqrt[U'2-U^2]
where U^2 is E(Z)
and U'2=Int[(Z^2)*(X-U)/S]
but again what range?
Thank you!
 
1/(1-t) + 1/(1+t) = 2/(1-t2). So multiply by 1/2 to get your answer.

The range for the integration is the entire real line.
A simpler approach is as follows:
E[(X-U)/S] = {E(X) - U}/S = 0
E[({X-U)/S}2] = {E(X2) -2UE(X) +U2}/S2 = 1
 

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