
Please explain to me the statement "A linear combination of normally
distributed variables is also normally distributed".
Hi,
A linear combination of two variables is nothing but the equations we all know i.e. like aX+bY = ….
Where X, Y are variables and a,b are constants
Therefore the statement "A linear combination of normally distributed variables is also normally distributed"
States that that if X, Y variables are normally distributed then the equations like above(which are noting but the linear comb of X,Y) are also normally distributed or in other words if you plot the graph of aX+bY then that also will be like normally bell shaped as the graph of X and Y.
Regards,
Nikhil Gupta
From: Dhruv Lilaramani
[mailto:dhruv.li...@gmail.com]
Sent: Friday, January 29, 2010 1:57 AM
To: kv-cfa-l1...@googlegroups.com
Subject: Re: QUESTION: Normal Distribution
If X1, X2 are two normal random variables, with means οΏ½1, οΏ½2 and standard deviations οΏ½1, οΏ½2, then their linear combination will also be normally distributed.

On Jan 29, 9:30 am, Nikhil Gupta <nikhil.g.gu...@oracle.com> wrote:
> Hi,
>
>
>
> A linear combination of two variables is nothing but the equations we all know i.e. like aX+bY = ..
>
> Where X, Y are variables and a,b are constants
>
>
>
> Therefore the statement "A linear combination of normally distributed variables is also normally distributed"
>
> States that that if X, Y variables are normally distributed then the equations like above(which are noting but the linear comb of X,Y) are also normally distributed or in other words if you plot the graph of aX+bY then that also will be like normally bell shaped as the graph of X and Y.
>
>
>
> Regards,
>
> Nikhil Gupta
>
>
>
> From: Dhruv Lilaramani [mailto:dhruv.lilaram...@gmail.com]
> Sent: Friday, January 29, 2010 1:57 AM
> To: kv-cfa-l1...@googlegroups.com
> Subject: Re: QUESTION: Normal Distribution
>
>
>
> If X1, X2 are two normal random variables, with means μ1, μ2 and standard deviations σ1, σ2, then their linear combination will also be normally distributed.