les <[EMAIL PROTECTED]> wrote in sci.stat.edu:
>i have 327 data points and i plotted the histogram which
>looks like poisson distribution. I want to test the hypothesis that
>this distribution is significantly different from uniform and want to get
>get some confidence level (say 0.95 ). I was thinking of chi square but
>does'nt chi square assume normal distributed data?
Not necessarily. Chi-square compared the observed number of data
points in each "bucket" with the expected number in each "bucket".
You would set up your "buckets" and then calculate how many data
points out of 327 would fall into each "bucket" if the distribution
is what you want to test, such as Poison.
What I don't know is how you decide how many "buckets" to use.
Intuition tells me that the number of "buckets" may influence
whether you get a significant difference or not, since in the
limiting case of n=1 you obviously get no difference at all.
--
Stan Brown, Oak Road Systems, Cortland County, New York, USA
http://OakRoadSystems.com
"Honesty always gives you the advantage of surprise."
-- /Yes, Prime Minister/
.
.
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