Hi All,

First of All, I am not a Statistics Expert by myself, however, I would like
to raise another angle of this issue.

If instead of divide (or partition) into two separate normal distribution, I
would
do this into n separate normal distribution where n is the number of points
constituting the original distribution N(50,5).

What would happen then to the individual means and std ???



"gilgames" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> <<
> Folks,
>
> I have one question. Please let me know if any of you know the answer to
> my question.
>
> I have a normal distribution with mean = 50 and standard deviation = 5
> I want to divide this distribution into two separate normal
> distributions each with mean = 25 so that when I add them I will get my
> original distribution.
>
> Do any one know how to find the two separate distributions?
>
> Is the answer distribution 1 : N(25,3) and distribution 2: N(25,4) correct
?
>  >>
>
> If you have two independent normal random set N(25,3) and N(25,4) and
> add them together piecevise, you will get N(50, 5). In general for two
> independent set the mean is the sum of the components and also the
> variances are the sum of the variances of the components.
>
> If you reverse it and from a normal random set N(50,5) substract an
> independent N(25,3) normal random set piecevise, then you will get N(25,
> 5.831) being the new std = sqrt(std1**2 + std2**2)
>
> http://localhost/cgi-bin/igperl/igp.pl?dir=test&name=addeddistr
>
>
> Now the insteresting point: If you have a normal random set N(50,5) and
> make two distributions on that manner, that divide each number on the
> ration of the expected new means ($a = $orig * $mean1 / $meanorig  and
> $b = $orig - $a) then the resulted standard deviation also will be
> divided by the ration of the expected new means, on that manner that the
> sum of the two standard deviations will be the original (if the given
> new mean is larger than the orginal, then that std will be larger also),
> so N(50,5) divided onto two equal half each element will result
> N(50,2.5), N(50,2.5) sets
>
> http://localhost/cgi-bin/igperl/igp.pl?dir=test&name=dividedistr
>


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