The p-value as I understand it, is the probability of seeing a phenomenon at
least as extreme as the one which you observed assuming the null hypothesis
is true. In other words, if you assume there is no difference (which is the
NULL for you here I believe), and there is an 81% chance of seeing data as
you saw it: than that's not so exciting after all.
Hope that was helpful,
    Ken Hutchison

On Tue, Oct 18, 2011 at 2:35 PM, B77S <bps0002@auburn.edu> wrote:

> This is just scientific notation, so
> 8.15e-01 is the same as:
> > 8.15*10^-1
> [1] 0.815
>
>
>
>
>
> niki wrote:
> >
> > Dear all,
> >
> > i have done some regression analyses but i do not understand the p value.
> > These are the results
> >
> >                                        t-value  p value
> > geno.1           -0.229 0.978 -0.234 8.15e-01
> > geno.5            0.647 1.146  0.565 5.73e-01
> > stress:geno.5    -1.337 1.022 -1.307 1.92e-01
> >
> > how can i see if my results are significant ? (apart from looking at the
> > t-value). Can someone explain the p values?
> >
> > thanks
> >
> > niki
> >
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/p-value-in-R-beginners-question-tp3915873p3916308.html
> Sent from the R help mailing list archive at Nabble.com.
>
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