(Reply to Peter and to the edstat list.)

"But given a finite population...":
 Yes, well, that's exactly the question, isn't it?  If the population is
normal, it isn't finite;  if it's finite, it isn't normal, except
approximately, in some (usually ill-defined) sense of "approximately".

Seems to me Peter's examples are not of a "finite normal population"
(which seems to me an oxymoron), but of a way of approaching the
expected value of the maximum of a rather large sample (assumed to be)
drawn from a normal population.

It is not that this is unreasonable;  it's just that it's not how the
original question was put.  (Now, it might be closer to what the
original question was _intended_ to be;  but I have no way of assessing
that, in the absence of a telepathic connection to Howard Kaplon's
colleague's student.)

I seem to recall having read, years ago, of something called "extreme
value theory".  Presumably it would have application here...
  -- Don.

On Mon, 22 Mar 2004, Peter Flom wrote in part:

> Clearly ... it depends on the nature of the distribution of the
> variable in a particular population (and on population size).
>
> But given a finite population, I don't think the expected value of the
> maximum of a normally distributed variable is infinity.  (But maybe I
> am all wrong....)

 <snip, the rest>
 ------------------------------------------------------------
 Donald F. Burrill                              [EMAIL PROTECTED]
 56 Sebbins Pond Drive, Bedford, NH 03110      (603) 626-0816
.
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