Chi Square Distribution Problem

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Homework Help Overview

The problem involves finding the distribution of the expression n(Sample Mean - μ)²/σ², where X is normally distributed. The discussion centers around understanding the properties of the sample mean and its relation to the normal distribution.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the normal distribution of the sample mean and its implications for the problem. There are attempts to clarify the relationship between the sample mean and z-scores, as well as the distribution of the squared z-score.

Discussion Status

Some participants have provided insights into the distribution of the sample mean and the transformation to z-scores. Questions about the origins of certain equations and the implications of these transformations are being explored, indicating a productive exchange of ideas.

Contextual Notes

There is an emphasis on understanding the derivation of the z-score and its application to the problem. Participants are navigating through the definitions and properties of the distributions involved without reaching a definitive conclusion.

Nexttime35
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Homework Statement


Suppose that X has normal distribution. Find the distribution of n(Sample Mean - μ)22.

The Attempt at a Solution


I honestly have no idea where to begin with this problem. Any ideas?
 
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Tell us what you know about this problem. It must be homework for something you've been learning in class.
 
Well I know that the Sample mean has a normal distribution ~ N(μ,σ2/n), which I think is useful to solve this problem. Now, I am confused about how to use this normal distribution for the sample mean to solve the problem. Any thoughts, using this idea?
 
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LCKurtz said:
If ##\bar X \sim N(\mu, \frac {\sigma^2}{n})## what is the distribution of$$
Z=\frac{\bar X -\mu}{\frac\sigma {\sqrt n}}$$Once you answer that, you need to work out the distribution of ##Z^2##.
 
Hi LCKurtz,

Thanks for the help. I am wondering where you got this equation from? I know it's the z-score, converting the sample mean into the z-score, but how did you come up with the equation? Thanks.
 
Actually I believe I know where this comes from.

the Sum from i=1 to n of Zi2 = the Sum from i=1 to n of ((Xi-μ)/σ)2 = chi square distribution with n degrees of freedom.
 
So, would the distribution of this be N(0,n)?
 
Nexttime35 said:

Homework Statement


Suppose that X has normal distribution. Find the distribution of n(Sample Mean - μ)22.

Nexttime35 said:
Hi LCKurtz,

Thanks for the help. I am wondering where you got this equation from? I know it's the z-score, converting the sample mean into the z-score, but how did you come up with the equation? Thanks.

Now you are confusing me. It is your question asking for the distribution of$$
\frac {n(\bar X - \mu)^2}{\sigma^2} =\frac{(\bar X - \mu)^2}{(\frac \sigma {\sqrt n})^2}$$
So if ##Z = \frac{(\bar X - \mu)}{\frac \sigma {\sqrt n}}##, you know ##Z\sim n(0,1)## and your problem is to find the distribution of ##Z^2##.
 

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