My approach is often to use very loose terms where I try to make
connections to other concepts which might be more familiar:

*The null hypothesis could be considered as a map

*You go out on a walkabout with that map in your hand, i e you take a
sample

*The p-value tells you the probability of ending where you find yourself
in the end

*If the p-value is low, then it must be reasonable to question the
relevance of the map/the null hypothesis

This way you can avoid - for some time - to include more tecnical terms.
Any comments on this approach? Any fundamental gaps?

--robert
********************
Robert Lundqvist
Dept of mathematics
Lulea University of Technology
Sweden

On Thu, 4 Dec 2003, VOLTOLINI wrote:

> Dear friends,
>
> The P is the probability of getting a value of a test statistic equal to =
or
> greater than the one observed in your data, if it is a random pick from t=
he
> distribution of the test statistic that would be created if a specified n=
ull
> hypothesis were true.  So, in the situation where the means of two
> distributions are being compared, a t statistic might be calculated. If t=
he
> null hypothesis is that the distributions have an identical mean, the t
> statistic comes from a distribution of t with mean of zero.  In such a
> distribution, there is a particular probability (P) that any given value =
of
> t will be equaled or exceeded if you pick t values at random. It is not t=
o
> be confused with the probability you choose to decide to reject the null
> hypothesis (i.e. alpha, which is then the probability of rejecting the nu=
ll
> hypothesis incorrectly - you think it is wrong when it is true, i.e. the
> probability of Type I error).
>
> But....... I think this is very dificult to teach for young students (usi=
ng
> these words!). So, does anyone can send me a suggestion? I would like to =
use
> a more simple explanation!
>
> For instance, in the book "The truth about Science" (p.101) I read:
>
> "A p-value of 0.80 means that
> there is an 80% chance of finding the data
> when the population are exactly the same".
>
> So, for many students this statement means like "the P value is the
> probability of Ho is correct" !
>
> I would like to avoid a simple explanation to my kidos like "just look if
> the P value is above or below 0.05 to reject or accept the Ho" :(
>
>
> Thanks for any help !!!
>
>
>
>
>                        Voltolini
>
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Prof. J. C. VOLTOLINI
> Grupo de Estudos em Ecologia de Mamiferos (ECOMAM)
> Universidade de Taubate, Departamento de Biologia
> Praca Marcelino Monteiro 63, Bom Conselho.
> Taubate, SP. CEP 12030-010. BRASIL.
> Tel: 0XX12 - 2254165 (Lab. Zool.) ou 2254277 (Depto. Biol.)
> E-Mail: [EMAIL PROTECTED]
> http://jcvoltol.sites.uol.com.br/personalidades/
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
>
> "Tutto di noi =E8 un angelo con un'ala e
> possiamo volare soltanto se ci abbracciamo"
>
> .
> .
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