That's because I could not get more than 15 Police Officers, while the
other group represents students (much easier to get on campus)
> might i ask why one group has n=160 and the other only n=15?
>
> At 05:44 PM 11/6/00 +, [EMAIL PROTECTED] wrote:
> >Hi all,
> >
> >I have a little problem o
Does anyone have an algorithm (computer code) for calculating percentiles.
There is a formula for doing such in Excel, so it must be possible to
program. A friend is trying to write a macro to do such in another PC
based software(Filemaker Pro). Thanks.
Would any of you know names of statistical softwares for pairing
subjects according to several variables? (In order to make them
comparable?)
Thanks,
Jean-Pierre
Jean-Pierre Guay, M.Sc.
Centre de Recherche Philippe Pinel
Institut Philippe Pinel de Montréal
10 905 boul. Henri-Bourassa est,
Mont
might i ask why one group has n=160 and the other only n=15?
At 05:44 PM 11/6/00 +, [EMAIL PROTECTED] wrote:
>Hi all,
>
>I have a little problem on how to handle the following:
>
==
dennis roberts, penn state university
educational p
Joseph McDonnell made an interesting point when he slightly modified the
question.As I understand what he is asking, the question is "how far wrong
do we go when we treat the dichotomous dependent variable as if it were
continuous.
Cox and Wemuth (American Statistician, 1992) approached a similar
On Mon, 06 Nov 2000 18:36:16 +0100, Joseph McDonnell
<[EMAIL PROTECTED]> wrote:
> Gentlemen,
>
> I agree with both of you. Several correspondents had already pointed out that a
> logistic regression approach would be more appropriate in this situation.
> However, I was trying to steer the discu
Hi all,
I have a little problem on how to handle the following:
I have 2 groups of people with inequal size. One group of 160 people
and the other of 15 people! Now each person of the 2 groups had to hold
a square flat object 5 times and we collected the x and y cartesian
coordinates of all fing
Gentlemen,
I agree with both of you. Several correspondents had already pointed out that a
logistic regression approach would be more appropriate in this situation.
However, I was trying to steer the discussion in a slightly different direction,
which I suspect may be the subject of Gerhard's int
in my stat class today, we were talking a bit about penn state's bad luck
(of course, good luck for iowa!)in the second overtime last saturday ...
here is my take on overtimes
I DON'T LIKE THEM ... here is why
football by definition is a game that is 60 minutes d
Herman Rubin wrote:
>
> In article <[EMAIL PROTECTED]>,
> Joseph McDonnell <[EMAIL PROTECTED]> wrote:
> >I may be wrong, but I thought that Gerhard was asking something like "If I
> >perform a linear regression but with a dichotomous dependent variable, do
> >I get 'garbage' results?"
>
> The r
The latest polls are out. The New York Times gets an A for
describing the precision and accuracy of their poll. Gallup gets a C-
or D in my book.
The New York Times today:
http://www.nytimes.com/2000/11/06/politics/06METH.html
In theory, in 19 cases out of 20 the results based on such samples
In article <[EMAIL PROTECTED]>,
Joseph McDonnell <[EMAIL PROTECTED]> wrote:
>I may be wrong, but I thought that Gerhard was asking something like "If I
>perform a linear regression but with a dichotomous dependent variable, do
>I get 'garbage' results?"
The results must be at least partly garbag
I may be wrong, but I thought that Gerhard was asking something like "If I
perform a linear regression but with a dichotomous dependent variable, do
I get 'garbage' results?"
Joseph
Gene Gallagher wrote:
> In article <[EMAIL PROTECTED]>,
> Gerhard Luecke <[EMAIL PROTECTED]> wrote:
> > Can any
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