Steve: Everything you've touched on in your post was covered,
in detail, in the thread already.
So my first advice is:
Read the thread.
Read the MIT Report.
Read the Followups.
>
>Not to sound naive, but isn't the group of 11 MIT Biologists supposed to be
>a sample, because we are extrapolating to all science faculty at MIT?
No we were not. What gave you that idea?
> If we
>are not extrapolating, then why all the debate.
Read the thread!
>Proving that discrimination
>exists/does not exist ONLY in a single small department seems like a waste
>of effort to all except those 11 folks.
You'll find the answer if you
a. Read the MIT Report and followups.
b. Read the thread.
>Actually, even this is not true.
>Those 11 are a subset of the entire Biology department, are they not?
Read the thread.
>
>Clearly I can understand the characterization that these 11 folks are a
>non-random sample, but claiming that they are a population would seem to
>imply to me that there was no interest in generalizing beyond this group.
You might think that if you didn't read the thread.
>Everybody seems to be generalizing to all MIT science faculty if not to an
>even larger group.
No. (Where did you get this idea?)
>
>Maybe I don't understand what a sample truly is.
Then you shouldn't be teaching statistics. <G>
>To me, it just makes no
>sense to act as if the 11 faculty are a population.
And I suppose it wouldn't make sense to act like the Yankee
and Tiger outfields were a population either. Read the thread.
>
>Also, has anyone looked at a log transformation of the data? The "huge"
>difference doesn't look so huge on a log scale.
What rationale would lead you to perform a log transform? <Read the
thread, searching, in particular, for the Tigers-Yankees example.>
>
>Finally, who is this guy "ad hominem" and why is he attacking everybody?
><grin>
If you have to ask, you wouldn't understand. <G>
>
>Steve Simon, [EMAIL PROTECTED], Standard Disclaimer.
>STATS: STeve's Attempt to Teach Statistics. http://www.cmh.edu/stats
>
>
>
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