Some myths concerning statistical hypothesis testing

Glen M. Sizemore gmsizemore2 at yahoo.com
Sat Nov 9 11:47:13 EST 2002


These all are saying the same thing.

"Sturla Molden" <sturla at molden_dot_net.invalid> wrote in message
news:pan.2002.11.09.17.29.54.292998.1187 at molden_dot_net.invalid...
> On Fri, 08 Nov 2002 16:36:46 +0100, Glen M. Sizemore wrote:
>
> > The p-value is the probablity of observing a value of the test statistic
> > as extreme, or more extreme than the one observed if the null hypothesis
> > is true. Where more extreme means more contradictory to the null
> > hypothesis
>
> This is correct.
>
>
> > Alternative definition of p-value. The p-value is the probability of
> > observing data like ours if the null hypothesis was true.
>
> This is incorrect.
>
>
> > p Value - the probability of observing a test statistic that is as
> > extreme or more extreme than currently observed, assuming that the null
> > hypothesis is true. This can be expressed as the conditional
> > probability:
>
> This is correct.
>
>
> > Pr(data|H0 true)
>
> This is incorrect.
>
>
>
>
>
> Sturla Molden





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