all of this discussion re: t test and normality and when it makes a
difference and when it does not ... plus all the other assumptions made in
all kinds of tests with similar sometimes/sometimes not problems ...
just reinforces the fact that we need to be real skeptical about p values
Bob Hayden wrote:
In addition to the approximation involved in using the CLT, most
(possibly all) practical situations require that you estimate the
population standard deviation with the sample standard deviation in
calculating a standard error for use in constructing a confidence
interval
On Sat, 5 Aug 2000, Gates, Christopher [OMP] wrote:
Donald, thank you so much for your response. I had the opportunity to
converse with my friend (HOH) on this matter again, and his explanation
seemed to closely follow yours, or at least that's how I see it.
I guess the bottom line for
Selections from an earlier exchange on EdStat-L are followed by some
comments.
- Forwarded message from Donald Burrill -
On Sat, 5 Aug 2000, Gates, Christopher [OMP] wrote:
Donald, thank you so much for your response. I had the opportunity to
converse with my friend (HOH) on this
On Wed, 2 Aug 2000, chris (who, from his e-mail address, clearly does not
desire a personal response) wrote:
I have a doubt as to what is the assumption for normality in a t-test.
Two possibilities:
These may perhaps not exhaust the universe of discourse.
I think it is for the sample
