Re: p value

Hi On 2 Nov 2001, Donald Burrill wrote: > On Fri, 2 Nov 2001, jim clark wrote: > > I would hate to ressurect a debate from sometime in the past > > year, but the chi-squared is a non-directional (commonly referred > > to as two-tailed) test, although it is true that you only > > consider one end

RE: p value

At 05:06 PM 11/2/01 -0500, Wuensch, Karl L wrote: > Dennis wrote: " it is NOT correct to say that the p > value (as >traditionally calculated) represents the probability of finding a > result >LIKE WE FOUND ... if the null were true? that p would be ½ of > what is >calculated." > >

RE: p value

Dennis wrote: " it is NOT correct to say that the p > value (as traditionally calculated) represents the probability of finding a > result LIKE WE FOUND ... if the null were true? that p would be ½ of > what is calculated." Jones and Tukey (A sensible formulation of the signific

Re: p value

[EMAIL PROTECTED] (dennis roberts) wrote > most software will compute p values (say for a typical two sample t test of > means) by taking the obtained t test statistic ... making it both + and - > ... finding the two end tail areas in the relevant t distribution ... and > report that as p >

Re: p value

In article , Magenta <[EMAIL PROTECTED]> wrote: >"Dennis Roberts" <[EMAIL PROTECTED]> wrote in message >[EMAIL PROTECTED]">news:[EMAIL PROTECTED]... >> let's say that you do a simple (well executed) 2 group study ... >> treatment/control ... and, are interested in t

Re: p value

"Dennis Roberts" <[EMAIL PROTECTED]> wrote in message [EMAIL PROTECTED]">news:[EMAIL PROTECTED]... > let's say that you do a simple (well executed) 2 group study ... > treatment/control ... and, are interested in the mean difference ... and > find that a simple t test shows a p value (with mean i

Re: p value

My opinion, FWIW: The answer to your question in a strict fashion, assuming the experiment is well designed, depends to a large extent on your "a priori" null hypothesis and how you performed the statistical test. In this case, presuming that you used a two-sided p value and that you established

Re: p value

In article <[EMAIL PROTECTED]>, Dennis Roberts <[EMAIL PROTECTED]> wrote: >let's say that you do a simple (well executed) 2 group study ... >treatment/control ... and, are interested in the mean difference ... and >find that a simple t test shows a p value (with mean in favor of treatment) >of

Re: p value

It seems to me that any well-designed experiment, by definition, leaves only two reasonable explanations for favorable results: the desired effect and chance. The low p-value (nearly) eliminates chance. Jonathan Fry SPSS Inc. --- Denni

Re: p-value language (was: Re: p value quibble ... ala d burrill)

In hypothesis testing, one is selecting between two models with one of the models being 'privileged', in the sense that if one cannot distinguish between them on the basis of the statistical criterion used, the privileged model will be used. (So the decision is made on some other bais such as 'fai

p-value language (was: Re: p value quibble ... ala d burrill)

I've taken the liberty of copying this to the edstat list, and therefore have quoted the original posting in full, despite having (at the moment) a comment on only one part of it. -- DFB. On Tue, 29 Aug 2000, Paul Dudgeon wrote: > Somewhat tangential to the discussion last week about p values