On Sun, 19 Dec 1999, Joe Ward wrote in part:

> (Reminder: when using a t-table, the p-values usually involve ONE-TAIL and
> when using the F-table, the p-values involve TWO-TAILS )

Re t:   Well, that depends in part on how the table in question was set 
        up, and in part on the investigator's intent.  _I_ always use 
        the t table for TWO-sided hypotheses, unless there's a good 
        reason to argue for a one-sided hypothesis.
        And the t-tests in Minitab (e.g.) are by default TWO-sided;  
        the confidence intervals are two-sided and cannot be made 
        one-sided except by physically substituting (in a file editor) 
        "infinity" (or "- infinity") for one end of the interval reported.

Re F:   Two-sided?  Only when the hypothesis in question is of the kind 
        usually specified for an ANOVA, that certain means are equal.  
        In terms of the formal null hypothesis even of ANOVA, that one 
        variance estimate is equal to another, the test (and the p-value 
        returned by a statistical package) is ONE-sided.  One doesn't 
        reject the null in ANOVA if the mean square between is 
        significantly less than the mean square within.  (This is of 
        course equivalent to a two-sided test in the metric of the 
        subgroup means;  but the F distribution was devised for the 
        comparison of variance estimates.)
 
> Example:  The critical-value of t for probability of  p =  .05 at t(18) 
>               = 1.734;
>           The critical-value of F for probability of p = .10  at 
>               F(1,18)  =  (1.734)^2  =  3.01 

This sort of language is one of the reasons I really don't like to use 
the term "critical value".  It is much clearer, to my way of thinking, 
to say that the 95th percentile of t(18) = 1.734.  In terms of "critical 
values", this is the critical value for a (two-sided) significance level 
of 0.10 (or 10%, if you prefer);  OR for a one-sided significance level 
of 0.05.  Similarly, the 90th percentile of F(1,18) = 1.734^2 = 3.01, 
which is the critical value for a ONE(!)-sided test of the hypothesis 
that E(MS between) < or = E(MS within) [against the one-sided alternative 
that E(MSB) > E(MSW)].
                        -- Don.
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 Donald F. Burrill                                 [EMAIL PROTECTED]
 348 Hyde Hall, Plymouth State College,          [EMAIL PROTECTED]
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