- Forwarded message from dennis roberts -
in most large institutions ... the notion of performance based pay is a
myth ... since it is easy to document clear differences in performance for
faculty in different Colleges .. where pay is lopsided in favor of a
favored college (like busine
Jerry Dallal wrote:
>
> Alan McLean ([EMAIL PROTECTED]) wrote:
>
> : There is certainly an argument that when trialling a new treatment (I
> : initially used the word 'testing' here, but figure that it may be
> : confused with the statistical test of the resultant data) it is
> : presumably expe
in most large institutions ... the notion of performance based pay is a
myth ... since it is easy to document clear differences in performance for
faculty in different Colleges .. where pay is lopsided in favor of a
favored college (like business) even when productivity (however you define
i
Thanks again for the clarification, Jim. I think we
are in essential agreement.
To reply succinctly to your message:
1. Certainly, as a general rule
one should *always* look at distributional
shape as well as summary statistics. Feminists seldom
do, by the way, in advancing arguments about
discr
In article <[EMAIL PROTECTED]>,
RD <[EMAIL PROTECTED]> wrote:
>On 13 Mar 2001 16:32:15 -0500, [EMAIL PROTECTED] (Herman
>Rubin) wrote:
>>In article <[EMAIL PROTECTED]>,
>>RD <[EMAIL PROTECTED]> wrote:
>>>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
1. some test
Alan McLean ([EMAIL PROTECTED]) wrote:
: There is certainly an argument that when trialling a new treatment (I
: initially used the word 'testing' here, but figure that it may be
: confused with the statistical test of the resultant data) it is
: presumably expected to work. Consequently, if a pe
Actually, I wasn't even referring to Mr. Ulrich!
I was referring to the state of the art in
feminist analysis of "gender discrimination"
in university faculties.
I can, indeed, understand why the Landgrebian Mr. Ulrich would be
sensitive. He hasn't driven me anywhere. I'm still
calmly waiting fo
dennis roberts ([EMAIL PROTECTED]) wrote:
: it would only be unethical if a better alternative were available ... or
: even a possibly better alternative were available ... and the investigator
: or the one making the decision to give or not to give ... KNOWS this ...
: AND HAS the ability to
In article <[EMAIL PROTECTED]>,
Rich Ulrich <[EMAIL PROTECTED]> wrote:
>(This guy is already posting irrelevant rants as if
>I've driven him up the wall or something. So this
>is just another poke in the eye with a blunt stick, to see
>what he will swing at next)
I think we may take this
As we saw recently on this
> (or another stats list), there is much confusion between
> "one-tailed" in the sense of a directional test (which concerns
> the direction of differences or correlations) and "one-tailed" in
> the narrower sense of tail of distribution (e.g., chi^2). These
> uses are
At 04:10 PM 3/14/01 -0500, Rich Ulrich wrote:
>Oh, I see. You do the opposite. Your own
>flabby rationalizations might be subtly valid,
>and, on close examination,
>*do* have some relationship to the questions
could we ALL please lower a notch or two ... the darts and arrows? i can't
k
Apart from making the observation that there are many applications of
tests that do not involve ethical considerations, I am not at all clear
how this example relates to one or two tailed testing.
There is certainly an argument that when trialling a new treatment (I
initially used the word 'testi
On Tue, 13 Mar 2001 14:04:19 -0800, Irving Scheffe (JS)
<[EMAIL PROTECTED]> wrote:
> Actually, in practice, the decisions are seldom made
> on the basis of rational evaluation of data. They
> are usually made on the basis of political pressure,
> with thin, and obviously invalid, pseudo-rationali
Hi
On 13 Mar 2001, dennis roberts wrote:
> i give a survey and ... have categorized respondents into male and females
> ... and also into science major and non science majors ... and find a data
> table like:
> non science science
> C1 C2Total
> M 1 24
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Warum? Ganz einfach: Di
Hi,
I found two different formula for calculating the varicance of the
cumulative survival-rate (km-estimator).
#1: var(S)=S^2 * \sum[d/r(r-d)]
ist called Greenwood's formula
#2: var(S)=S^2*(1-S)/r
where
S: cum. survuval-rate
d: number of events
r: number of individuals at risk
I prefer for
On 13 Mar 2001 14:23:04 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>well, help me out a bit
>
>i give a survey and ... have categorized respondents into male and females
>... and also into science major and non science majors ... and find a data
>table like:
>
>MTB > chisquare c1 c2
>
>Ch
In article <[EMAIL PROTECTED]>,
Alan McLean <[EMAIL PROTECTED]> wrote:
>Will Hopkins wrote:
>> Responses to various folks. And to everyone touchy about one-tailed
>> tests, let me make it quite clear that I am only promoting them as a
>> way of making a sensible statement about probability. A t
In article <[EMAIL PROTECTED]>,
Alan McLean <[EMAIL PROTECTED]> wrote:
>[EMAIL PROTECTED] wrote:
>> More importantly, I would say: DON'T DO TESTS. Instead, try to find
>> models that you would be prepared to use to predict the response
>> in as-yet untried circumstances.
>> --
>Hypothesis tes
On 13 Mar 2001 16:32:15 -0500, [EMAIL PROTECTED] (Herman
Rubin) wrote:
>In article <[EMAIL PROTECTED]>,
>RD <[EMAIL PROTECTED]> wrote:
>>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>
>>>1. some test statistics are naturally (the way they work anyway) ONE sided
>>>wi
In article <98nshl$kkc$[EMAIL PROTECTED]>,
Tomas =?iso-8859-1?Q?L=E5gland?= <[EMAIL PROTECTED]> wrote:
>My problem is to generate a univariate discrete distribution
>having specified first four moments.
There are infinitely many such distributions, and the
extreme solutions are all discrete. Fo
Can somebody tell me what are advantages of Matlab over Gauss? Is there
any reason to learn both ? Which one is better for statistical/econometrics analysis?
Thank you
=
Instructions for joining and leaving this list and remarks a
At 03:39 PM 3/14/01 +, Jerry Dallal wrote:
>It wasn't ironically and has nothing to do with 5%. As Marvin Zelen
>has pointed out, one-tailed tests are unethical from a human
>subjects perspective because they state that the difference can go
>in only one direction (we can argue about tests t
In article ,
Will Hopkins <[EMAIL PROTECTED]> wrote:
>Responses to various folks. And to everyone touchy about one-tailed
>tests, let me make it quite clear that I am only promoting them as a
>way of making a sensible statement about probability. A two-t
Jerry Dallal wrote:
>
> It wasn't ironically and has nothing to do with 5%. As Marvin Zelen
> has pointed out, one-tailed tests are unethical from a human
> subjects perspective because they state that the difference can go
> in only one direction (we can argue about tests that are similar on
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Alan McLean) writes:
>[EMAIL PROTECTED] wrote:
>>
>> More importantly, I would say: DON'T DO TESTS. Instead, try to find
>> models that you would be prepared to use to predict the response
>> in as-yet untried circumstances.
>> --
>
>Hyp
Will Hopkins wrote:
>
> Jerry Dallal wrote, ironically:
> >If you're doing a 1 tailed test, why test at all? Just switch from
> >standard treatment to the new one. Can't do any harm. Every field
> >is littered with examples where one-tailed tests would have led to
> >disasters (harmful treatmen
Thanks for your e-mail (which arrived much later than your post to
the newsgroup). I've already posted an apology and half-retraction
for saying something I didn't really mean!
-- Ewart
J.E.H.Shaw [Ewart Shaw][EMAIL PROTECTED] TEL: +44 2476 523069
Department of Statistic
as i have stated in another forum ... there exists a need (in my view) to
do some revamping of our typical 2 by 2 table that we use to layout the
matrix of errors and correct decisions in hypothesis testing ... but that
is another story
however, i think that we definitely need some standardiza
My problem is to generate a univariate discrete distribution
having specified first four moments. This is part of a larger
problem where I want to generate a multivariate discrete
distribution where the moments are specified separately for
each dimension and the multivariate distribution should al
Irving Scheffe wrote:
> I'm quite confident that, if you examine any
> data you want, you'll emerge with the conclusion
> that a 4.5 to 1 ratio is, in fact, "huge." If you
> feel otherwise, do the study and refute us.
>
> An even more interesting question (than
> the "hugeness" of the 4.5 to 1 ra
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