Thanks Radford for your clear explanation. I think I am more
interested in directional hypothesis, then. Would Kruskal-Wallis
suffice in that case? If not, what sort of test should I be using? (I
have monthly time-series county level data from 1980 - 1997). I am
learning stats off of a book, but I am wasn't sure which test is
appropriate for a case I described.

Thanks again,
James

[EMAIL PROTECTED] (Radford Neal) wrote in message news:<[EMAIL PROTECTED]>...
> In article <[EMAIL PROTECTED]>,
> James Choe <[EMAIL PROTECTED]> wrote:
> 
> >I am trying to show that precipitation level in 6 selected states are
> >statistically different. Is Kruskal-Wallis test appropriate for this?
> >My data consists of annual average precipitation county level.
> 
> If all you have is one number for each county (the average annual
> precipitation), there is no way of doing any sort of significance
> test.  You would need data for many years, and would have to account
> for temporal autocorrelation.
> 
> Testing whether precipitation differs from state to state is
> pointliess in any case.  We KNOW that precipitation differs from place
> to place, and hence from state to state.  A test of a directional
> hypothesis (eg, does Wyoming have more precipation than Colorado?)
> would make more sense, in that at least we don't already know the
> answer, but it is difficult to see why anyone would be interested.
> State boundaries have no ecological significance.
> 
>    Radford Neal
> 
> ----------------------------------------------------------------------------
> Radford M. Neal                                       [EMAIL PROTECTED]
> Dept. of Statistics and Dept. of Computer Science [EMAIL PROTECTED]
> University of Toronto                     http://www.cs.utoronto.ca/~radford
> ----------------------------------------------------------------------------
.
.
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