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Analysing performance data (somewhat OT stat question; sorry)


From: James Knowles
Subject: Analysing performance data (somewhat OT stat question; sorry)
Date: Wed, 22 Sep 2004 11:54:11 -0600
User-agent: Mozilla/5.0 (X11; U; Linux i686; en-GB; rv:1.7) Gecko/20040616

I've been collecting performance data for different software configurations, and examining it in Octave.

It's been about 15 year since college stats class, so I'm rusty. Some data distributions are normal, and a simple t-test works great for testing whether there's a significant difference between configurations. Many are visually "obvious," but some are not. They all need to be documented, however.

Some are heavily skewed, scrunched up near zero. I don't remember what this kind of distribution is called. I do not remember what to use here to test a null-hypothesis of the two data populations being the same. (Yes, inaccurate terminology; sorry.)

Octave has alot built in, and I don't want to just plug data in randomly.

Thanks!



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