Eric --
Good comment!

Also, it is helpful to keep in mind that:

t^2 (df2) = F(1,df2)

-- Joe
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----- Original Message -----
From: "Eric Bohlman" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Monday, April 16, 2001 3:43 PM
Subject: Re: Student's t vs. z tests


> Mark W. Humphries <[EMAIL PROTECTED]> wrote:
> > Hi,
>
> > I am attempting to self-study basic multivariate
statistics using Kachigan's
> > "Statistical Analysis" (which I find excellent btw).
>
> > Perhaps someone would be kind enough to clarify a point
for me:
>
> > If I understand correctly the t test, since it takes
into account degrees of
> > freedom, is applicable whatever the sample size might
be, and has no
> > drawbacks that I could find compared to the z test. Have
I misunderstood
> > something?
>
> You're running into a historical artifact: in pre-computer
days, using the
> normal distribution rather than the t distribution reduced
the size of the
> tables you had to work with.  Nowadays, a computer can
compute a t
> probability just as easily as a z probability, so unless
you're in the
> rare situation Karl mentioned, there's no reason not to
use a t test.
>
>
>
>
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