Posted by
Rich Ulrich on
Apr 11, 2011; 6:46pm
URL: http://spssx-discussion.165.s1.nabble.com/p-value-type-I-error-tp4296382p4296608.html
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> Date: Mon, 11 Apr 2011 10:03:00 -0700
> From:
[hidden email]
> Subject: p-value / type I error
> To:
[hidden email]
>
> Considering the concepts of Fisher and Neyman Pearson:
>
> What is the difference of the p-value and the type I error ?
>
In general discussion, "p-value" is usually a reference to
the nominal distribution of a particular test, whereas
speaking of "Type I error" usually implies a consideration
of multiple tests of hypothesis, and how that affects the
overall error rate.
Fisher and Neyman-Pearson refer to two arguments concerning
testing, which most people do not bother to learn about.
Instead, we follow our journal's guidelines.
I think that for a description of the philosophical
differences between styles of testing, you should use
Google to find references. Googling on
< Pearson Fisher testing > , I quickly found a
discussion article (first page) at
http://www.jstor.org/pss/2291263Journal of the American Statistical Asso... > Vol. 88, No. 424, Dec., 1993 > The Fisher, Neyman-P...
--
Rich Ulrich
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