Rich Ulrich wrote:
Robert waffles by saying 'most' purposes, so I have to
find it easy to agree. When might you *not* treat a uniform,
N=20 as normal? - perhaps when the R^2 is too high
(above .90)?
Anything involving extreme-value estimation, for a start.
Jon Cryer wrote:
Robert:
even when N=20, a uniform distribution can be treated as
normal for most purposes.
I assume you meant to say that for N=20, the sample mean based on a random
sample from a uniform distribution can be assumed to have a normal
distribution
for most purposes.
