ezkcdude Wrote: 
> Do you do at least 16 ABX trials? That's about the minimum that can give
> statistically signficant results.

I'd really like to know who started this "rule of thumb", because it's
wrong.

If you can tell the difference between A and B 100% of the time, you'd
only need 5 trials to get statistical signifance beyond the 0.05 level.
This is because the calculation of an exact p-value under the usual
null hypothesis is simply 0.5^5 = 0.03125, which is less than 0.05.

On the other hand, if the difference between A and B is so slight that
you can only tell the difference 51% of the time, then you're going to
have to do a lot more than 16 trials to detect that difference.


-- 
Mike Anderson

'FREE RADICAL 
RADIO!' (http://nvo.com/cd)  Hours of free radical MP3s.
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