The central limit theorem is one of the most important theorems in statistics. It approximates the distribution of the mean
of any sample of size n from any distribution by the distribution![]()
![]()
![]()
![]()
![]()
Now write![]()

so we have
|
|
|
|
|
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
Now expand
so
since
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
Taking the Fourier transform,
|
|
|
|
|
|
|
|
This is of the form![]()
where
and
.
But this is a Fourier transform of a Gaussian function, so
![]()
Therefore,
|
|
|
|
|
|
|
|
||
|
|
|
But
and
, so
![]()

