First, a clarification. The subject line suggests that the
Welch procedure is not an ordinary student t-test.
That is incorrect.
There are two common two-sample t-tests:
non-pooled variance (Welch version)
pooled variance
I would refer to the non-pooled version just as a "two-sample t-test";
if you want to be definite, you could refer to Welch or non-pooled.
The other common t-test is the pooled-variance t-test. In the old
days, the pooled-variance t-test was considered standard, but
statistics has shifted in favor of the non-pooled test being the
standard; someone using the pooled-variance version should note the
choice, and justify the choice (at least to him or her-self).
Also note that an F-test is often a poor way to justify pooling,
because it F-test is not robust against non-normality. "To make a
preliminary test on variances is rather like putting to sea in a
rowing boat to find out whether conditions are sufficiently calm for
an ocean liner to leave port." (G.E.P. Box, "Non-normality and tests
on variances", Biometrika, 40 (1953), pp 318-335, quote on page 333;
via from Moore & McCabe.
Tim Hesterberg
>Dear all
>
>I have run t.test(), and get a output similar to this:
>
>t.test(extra ~ group, data = sleep)
>
> Welch Two Sample t-test
>
>data: extra by group
>t = -1.8608, df = 17.776, p-value = 0.0794
>alternative hypothesis: true difference in means is not equal to 0
>95 percent confidence interval:
>-3.3654832 0.2054832
>sample estimates:
>mean in group 1 mean in group 2
> 0.75 2.33
>
>Should this be refered as a Welch procedure or ordinary student t-test?
>
>Regards Kes
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