In this case, to make the comparison sort of fair ... we DIVIDE by the irritant, or n. Hence, the average.
We do this in any number of contexts ... for variability with the variance ... for relationship in the correlation coefficient.
But, we do tend to OVER interpret such averages ... for example, in the class examples above, could be that about 1/2 of the students got 10 and the other half 30 ... and while the "average" is about 20 ... NO one was even close to that. So, to think that "average" means "typical" can be grossly off. So, while the average DOES reflect SOME feature of the group or set, it might not be THE feature we interpret it to be.
Dennis Roberts
[EMAIL PROTECTED]
http://www.personal.psu.edu/users/d/m/dmr/droberts.htm
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