> My favorite original example is the correlation between number of
> annual murders in a city and number of books in its libraries.
> Students have no trouble seeing that the two are going to have a
> fairly high correlation coefficient(*), but murders don't make
> people read and books don't mak
Can someone guide me in the various possibilities regarding some
preliminary modeling for a hypothetical election, to be held on the
basis of genealogy based adult franchise. Has someone done any work on
this type of problem. Would it be possible to have such a model run on
a spread-sheet such as
Jerry Dallal <[EMAIL PROTECTED]> wrote in message
news:<[EMAIL PROTECTED]>...
> Rich Ulrich wrote:
> >
> > On Mon, 03 Dec 2001 20:57:33 GMT, Jerry Dallal
> > <[EMAIL PROTECTED]> wrote:
>
> > > This is a bit different, though. The criticisms of stepwise
> > > selection are directed toward the
Dennis Roberts <[EMAIL PROTECTED]> wrote in sci.stat.edu:
>personally, i think it is dangerous in ANY case to say that r = cause ...
Hear, hear!
My favorite original example is the correlation between number of
annual murders in a city and number of books in its libraries.
Students have no tro
Jon Miller <[EMAIL PROTECTED]> wrote in message >
> You can ask the top students to look at their notes, but you should be prepared
> to find that their notes are highly idiosyncratic. Maybe even unusable.
Having seen notes of some top students on a variety of occasions
(as a student and as a l
[EMAIL PROTECTED] (Silvert, Henry) wrote in message
news:<4EBC97E6B14ED4118ADF00508B658C7937FBC1@exchange>...
> Do we all have to be privy to this?
[...snipped]
I'm not sure, but I'm certain we didn't need to see it all *TWICE*.
Glen
===
I have a question concerning one detail -
On 5 Dec 2001 10:04:38 -0800, [EMAIL PROTECTED] (Dennis Leitner) wrote:
> [ ... ] To use multiple regression
> you need to code the independent variables: Gender has 2 level; so
> there needs to be 1 coded vector. SES
On 5 Dec 2001 08:52:41 -0800, [EMAIL PROTECTED] (Dennis Roberts) wrote:
> correlation NEVER implies causation ...
That is true
- in the strong sense, and
- in formal logic, and
- as a famous quotation among researchers.
(And, reported as wrongly contrasted to 'ANOVA'.)
Or, correlation always
1. George Marsaglia and Wal Wan Tsang published a paper dealing with
your problem which gives an efficient procedure for all values of
parameters. It is
"The Monty Python Method for Generating Gamma Variables"
in the Journal of Statistical Software ,vol3,issue 3,1998
.
On Tue, 04 Dec 2001 17:39:53 GMT, Jerry Dallal
<[EMAIL PROTECTED]> wrote:
> Rich Ulrich wrote:
> >
[ ... ]
> > I don't see much difference. "Identifying predictors" by regression
> > analyses -- what is that advice supposed to mean? The criticisms
> > of stepwise selection say that it gives
what if we see, from the side, one person on the right swing his/her fist
... and, as the fist arrives at what appears to be the impact point of the
face of a person on the left ... that IMMEDIATELY the person on the left
falls backwards and down
now, we do this over and over again ... and obs
perhaps the problem here is with the word ... "cause"
say i put in a column some temps in F ... then use the F to C formula ...
and get the corresponding C values ...
then i do an r between the two and find 1.0
now, is the formula the "cause" of the r of 1?
maybe we might see it as a cause bu
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I concur.
Another way to put it is:
The results of statistical analyses are parts of principled arguments
about causality.
If correlatio
Stan Brown wrote:
> Jon Miller <[EMAIL PROTECTED]> wrote in sci.stat.edu:
> >
> >Stan Brown wrote:
> >
> >> I would respectfully suggest that the OP _first_ carefully study the
> >> textbook sections that correspond to the missed lectures, get notes from
> >> a classmate
> >
> >This part is of do
>
> Do we all have to be privy to this?
>
This is sci.stat.EDU. Sending it may have been a blunder, but it is
interesting to see how people approach TEACHING statistics.
=
Instructions for joining and leaving this list and remar
Dennis warns "the problem with this is ... does higher correlation mean MORE
cause? lower r mean LESS cause?
in what sense can think of cause being more or less? you HAVE to think that
way IF you want to use the r value AS an INDEX MEASURE of cause ..."
Dennis is not going to like this, since he
At 07:36 AM 12/5/01 -0500, Karl L. Wuensch wrote:
> Accordingly, I argue that correlation is a necessary but not a
> sufficient condition to make causal inferences with reasonable
> confidence. Also necessary is an appropriate method of data
> collection. To make such causal infer
Do we all have to be privy to this?
Henry M. Silvert Ph.D.
Research Statistician
The Conference Board
845 3rd. Avenue
New York, NY 10022
Tel. No.: (212) 339-0438
Fax No.: (212) 836-3825
> -Original Message-
> From: Dennis Leitner [SMTP:[EMAIL PROTECTED]]
> Sent: Wednesday, December 05, 2
Dear Edstat-l'ers,
Please accept my apology. I sent the recent message to the wrong
listserve. I must be experiencing some "end of the semester" burn-out.
;-)
Dennis
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Dear 507ers,
I've graded (finally) HW6 and returned them to you. You all did
pretty well on it. As soon as I get permission from the student, I'll
send you an exemplary solution.
But the HW8's were not done well at all, especially part 8(b). It
appears that I did not make something clear
correlation NEVER implies causation ...
and i agree with mike totally
At 09:01 AM 12/5/01 -0600, Mike Granaas wrote:
>We really need to emphasize over and over that it is the manner in which
>you collect the data and not the statistical technique that allows one to
>make causal inferences.
>
>M
On Wed, 5 Dec 2001, Karl L. Wuensch wrote:
>
>
> So why is it that many persons believe that one can make causal inferences
>with confidence from the results of two-group t tests and ANOVA but not with the
>results of correlation/regression techniques. I believe that this delusio
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the problem of INAPPROPRIATE MESSAGES are av
I opined "correlation is necessary but
not sufficient for establishing a causal relationship." Jim opined
"depending on precisely what Karl means by "correlation is necessary," I'd have
to disagree strongly.
More nearly precisely what I mean
follows, but is long.
When Does Corr
Stu wrote:
>
> "Silvert, Henry" wrote:
>
> > Might I go one step further and point out the correlation does not establish
> > a causal relationship primarily because it does not point to directionality,
> > at least not without a working hypothesis and some background support.
>
> Absolutely. Wi
"Intuitive Biostatistics" by Harvey Motulsky (Oxford Press) was written
with the math-anxious audience in mind. It's a great book.
At 05:53 AM 12/5/2001 +, Patrick Crockett wrote:
>My sister teaches high school biology in an IB program. She needs to
>understand (and be able to teach) some
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