Re: Combinometrics

2001-05-08 Thread Herman Rubin

In article [EMAIL PROTECTED],
Jerry Dallal  [EMAIL PROTECTED] wrote:
Herman Rubin wrote:
 I also doubt
 whether learning to compute answers gives any insight
 into the concepts, except for those with good research
 potential, and even there it tends to confuse.

It depends on what learning to compute means.  (*I'm* saying this
in repsonse to a comment from Prf. Rubin?!)

Consider exp(i pi).
I can compute it by using Euler's rule or by viewing it as the pi
radians rotation of a rod of unit length in the imaginary plane.

The second is not a means of computing, but of interpretation.

Or consider the variance.  I can compute it by using the desk
calculator algorithm or by summing the squares of deviations.

Knowing how to do it, and why, is not the same as the actual
process of computing.  I would go so far as to say that there
is little, if any, point about computing the SAMPLE mean and
the SAMPLE standard variance before understanding that of the
population mean.  Even population here is a bad term, as it
implies that sampling without replacement is to be used, which
is not the same as that of numerical functions of observations
from arbitrary probability models.  Even expectations should
be done on a sample space, and it should be shown, or at
least pointed out, that which equivalent formulation is used
leads to the same results, including using the distribution as
a particular one of these.

If learning to compute means simply that one is given a formula--any
formula--that is to be used without any thought of its origins, I
agree.
OTOH, thoughts about the method of computation can often lead to
important insights.

It is SOMETIMES the case that the procedure, not the method
used to implement it, can do this.  Setting up expectation
on sample spaces makes additivity trivial; pointing out the
equivalence of different representations makes expectation
and variance of the binomial and hypergeometric quite easy,
natural, and understandable.

However, doing it using combinatorics provides no insight
whatever, nor does using the cdf or pdf add much insight
to anything about the concepts.

Also, it is not necessary to introduce bivariate distributions
to develop covariance, or its properties.  Expectations of
products are expectations, and simple algebra still works.
-- 
This address is for information only.  I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054   FAX: (765)494-0558


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Re: Combinometrics

2001-05-07 Thread Glen Barnett


David Heiser [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
 We seem to have a lot of recent questions involving combinations, and
 probabilities of combinations.

 I am puzzled.

 Are these concepts no longer taught as a fundamental starting point in stat?
 I remember all the urn problems and combinations of n taken m times, with
 and without replacements, the lot sampling problems, gaming problems, etc.
 These were all preliminary, early in the semester (fall). Now to see these
 questions popping up late in spring?

 Times may have changed, since the 1940's, and perhaps there is more
 important stuff to teach.

Even if times hadn't changed, perhaps some of the posters aren't
studying in the US, so their timetable may not match yours. (Right
now it's late autumn where I am sitting.)

Here in Australia, for example, the school year is the same as the
calendar year - high schools will start in early February, universities
will mostly start in early March (though it varies some from institution
to institution).

And not all posters are necessarily at university.

However, I'd guess that many stats courses no longer do much
combinatorial probability.

Glen




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Re: Combinometrics

2001-05-07 Thread Robert J. MacG. Dawson

Puzzle from last week:

 That said, there IS at least one
 natural application of such a
 sampling technique [random selection 
 from equiprobable multisets], used in 
 a major industry, where it saves millions 
 of dollars a year.

Answer: The casino/gaming industry...

   The wheel of fortune version of Crown and Anchor, which uses the
[six
multichoose 3 = 8 choose 3 = 56] multiset triples of six symbols on a
wheel pays the casino far more handsomely than the chuckaluck version
with three dice, which is in fact one of the more punter-friendly games.
The player who wonders about the wheel game will notice that every
possible combination is there (on the big wheels; there are smaller
ones with some multisets omitted); but because it's every possible
multiset, not every possible list, a higher proportion of outcomes are
the doubles and triples,  which (paying off at 2:1 for a double and 3:1
for a triple) at once look generous and actually lower the payout
overall. 

If each number is covered equally, on a 1-1-1 outcome the house
takes in $6 and pays out $6 ($3 returned bets + $3 winnings). On a 2-1,
the
house pays out $2 in returned bets and $3 winnings; and on a triple,
only $4 in total. The wheel-of-fortune version keeps $0.125 for every $1
bet; the chuckaluck cage only $0.0787. (There are also smaller wheels
which omit some of the 1-1-1 patterns (well, it wouldn't be fair to
leave off the ones with _bigger_ prizes!) and do even better.
 
Imagine the following scam, based on that psychology. The midway wheel
operator has a couple accomplices in the crowd who do not hide the fact
that they know him, but rather suggest that as friends they'd like a
special game.  Operator pretends that he's afraid of catching hell
from the boss, but eventually gives in and explains to the other
players that this means that all bets ride until there's a double or
triple, and that he's not really meant to do this. Now, ladies and
gentlemen, it's the same rules for everybody, so if you don't want to
play keep your dollars in your pockets for this one game. When a shill
loses he pleads for one more chance under the good rules unless one of
the suckers is already doing it for him.  And my, how the money rolls
in... 

-Robert Dawson


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Re: Combinometrics

2001-05-04 Thread Jerry Dallal

Herman Rubin wrote:
 I also doubt
 whether learning to compute answers gives any insight
 into the concepts, except for those with good research
 potential, and even there it tends to confuse.

It depends on what learning to compute means.  (*I'm* saying this
in repsonse to a comment from Prf. Rubin?!)

Consider exp(i pi).
I can compute it by using Euler's rule or by viewing it as the pi
radians rotation of a rod of unit length in the imaginary plane.

Or consider the variance.  I can compute it by using the desk
calculator algorithm or by summing the squares of deviations.

If learning to compute means simply that one is given a formula--any
formula--that is to be used without any thought of its origins, I
agree.
OTOH, thoughts about the method of computation can often lead to
important insights.


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Re: Combinometrics

2001-05-04 Thread Herman Rubin

In article 9ctkri$fjvug$[EMAIL PROTECTED],
Neville X. Elliven [EMAIL PROTECTED] wrote:
David Heiser wrote:

We seem to have a lot of recent questions involving combinations,
and probabilities of combinations.
I am puzzled.
Are these concepts no longer taught as a fundamental starting point in stat?

I haven't seen a Combinatorics course in a college class 
schedule in nearly twenty years, but combinations and their 
probabilities are still taught in Statistics courses 
[perhaps not with as much emphasis as previously].

Combinatorics used to be a standard topic in high school
algebra.  It is USED in probability calculations, which
are USED in statistical calculations, but it is not either
probability or statistics, no more than addition is.

In fact, it is overdone; students have no problems with
understanding equally likely, but have major problems 
with probability when this is not the case.  I also doubt
whether learning to compute answers gives any insight 
into the concepts, except for those with good research
potential, and even there it tends to confuse.
-- 
This address is for information only.  I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054   FAX: (765)494-0558


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Re: Combinometrics

2001-05-04 Thread Neville X. Elliven

David Heiser wrote:

We seem to have a lot of recent questions involving combinations,
and probabilities of combinations.
I am puzzled.
Are these concepts no longer taught as a fundamental starting point in stat?

I haven't seen a Combinatorics course in a college class 
schedule in nearly twenty years, but combinations and their 
probabilities are still taught in Statistics courses 
[perhaps not with as much emphasis as previously].


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Re: Combinometrics

2001-05-03 Thread Robert J. MacG. Dawson



David Heiser wrote:
 
 We seem to have a lot of recent questions involving combinations, and
 probabilities of combinations.

I've never seen multiset enumeration in elementary stats texts, perhaps
because it is not very useful as a sampling model. While a multiset can
certainly be the outcome of a sampling experiment, it is usually not
natural to take a sample in which every multiset appears with the same
probability, and  so it is more useful to treat the (ordered) list of
outcomes with repetition as the primitive model.  It does turn up in
thermodynamics and the discrete math courses taken by CS students.

That said, there IS at least one natural application of such a
sampling technique, used in a major industry, where it saves millions of
dollars a year. Anybody know what I mean?  

I'll give the answer later!

-Robert Dawson


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