On Fri, 8 Feb 2002, Thomas Souers wrote:
>
> 2) Secondly, are contrasts used primarily as planned comparisons? If so, why?
>
I would second those who've already indicated that planned comparisons are
superior in answering theoretical questions and add a couple of comments:
1) an omnibus test
n_endors /cells= count row column total/.
>
> If it is a perfect Guttman scale pattern will have only six values 0,
> 1, 11000, 11100, 0, 1.
>
> hope this helps.
>
> Mike Granaas wrote:
>
> > HI all,
> >
> > Hoping someone can point me
hia,
There's been lots of stuff written about wireless communication channel
models - see recent issues of IEEE Transactions on Communications and other
similar journals. One place to start might be to look for books in the
references of articles that describe wireless communication channels.
--
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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
On Thu, 13 Sep 2001, Dennis Roberts wrote:
> see the article that focuses on this even if they do report effect sizes ... )
>
> what we need in all of this is REPLICATION ... and, the accumulation of
> evidence about the impact of independent variables that we consider to have
> important poten
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On Mon, 29 Jan 2001, dennis roberts wrote:
>
> one of the summary points made is the following:
>
> "P values, or significance levels, measure the strength of the evidence
> against the null hypothesis; the smaller the P value, the stronger the
> evidence against the null hypothesis"
I would
One of the Chance lectures (http://www.dartmouth.edu/~chance) from about 2
years ago spoke about this. The example I remember had to do with the
safety of airtravel. Specifically the speaker translated the probability
of dying in an airplane accident into "one flight per day for xxx years"
(I t
where there is very little data, and is really a ">x"
bin.
Cheers
mike
On Tue, 23 Jan 2001 13:29:25 +0100, in sci.stat.edu you wrote:
> Once you have the labels, you can edit the graph and move everything around.
>
> >
> > In addition, is there any way I can *join*
, is there any way I can *join* the last two bars together, so that they
form one bar with the frequencies added together and is double the width of a single
bar.
Cheers
Mike
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I recently heard that the popular management approach, Six Sigma, embodies
149(?) statistical tests. Is a copy of this list available?
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Again, thank you all!
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tel;work
t; wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> - Forwarded message from Mike Stephenson -
>
> I curve fit some data to the equation 1/y=a+bx using a set of x, y data.
I
> used the 1/y form in the curve fit because I could use a linear least
> squares
OTECTED]">news:[EMAIL PROTECTED]...
> > Mike Stephenson wrote in message ...
> > >I curve fit some data to the equation 1/y=a+bx using a set of x, y
> > >data. I used the 1/y form in the curve fit because I could use a
> > >linear least squares approach. I treated
er.
Any takers?
Mucho appreciated.
Mike
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This list is open to everyone. Occasionally, less thoughtful
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THE POSTMASTER about these messages because the postmaste
le to determine the optimal sample size for achieving a stable
frequency table? And if so, can you point me in the right direction?
Thanks very much for any help,
Mike
===
This list is open to everyone. Occasionally,
seem
to be the same as looking at the variance of a linear regression (does
variance increase, decrease, or stay the same with increasing X values).
Any suggestions?
Thanks again. Mike
===
This list is open to everyone. Oc
show there is a linear relationship?
thanks in advance..Mike
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these
What sort of rare events are you trying to predict. Me, I am in the
business of predicting motor vehicle crashes. It's very important to
partition all of the variance that you can out of the dependent measure so
that when the rare event occurs it will not be mixed up with events that
look like t
Hope that got your attention:)
Can anyone tell me the conditions for using Roy's Largest Root for
multivariate repeated measures rather than the Pillai's, Wilks, or
Hotelling's which may be "more conservative and perhaps less
ng like the Japanese Pachinko, that could serve as
a starting point.
So my question is, does anybody know of a Quincunx program, and if so how
would I find it/get a copy/ etc.?? I don't think I can take the time
right now to write the program myself, and besides, there may be one
already
ing from 50:50 is
evidence for the existence of God. I'd think the argument would go the
other way. God, being neat and compulsive like the rest of us, would show
His perfection by approximating a 50/50 ratio? Or was Arbuthnott
conflating God
suring different
things: system reports, system performance, and system access. If you
average the three "satisfaction" measures and then correlate the resulting
composite with "usage" you obscure rather than cl
amples. Why don't you do a Chi Square goodness
of fit test, with the "hypothesized" values 50% for each glue?
Mike
Ole,
It sounds to me like Male/Female is your between-subjects factors.
In the Unix version of SPSS, this runs under MANOVA. But it sounds like
you've got the same thing running in Windows.
I think you're right about the repeated measures (within subjects)
factor.
Mike
o worry about
our gadgets failing. Then the anxieties take hold, and we got all the
nonsense about planes crashing and food and water being unavailable. I
suppose the only thing to do is view it with amusement.
Mike
This ad for a faculty position appeared in the Monitor
and Observer. If you know of anybody who might be qualified/ interested,
won't you please share this information with them.
Mike
THE DEPARTMENT OF PSYCHOLOGY--AT RUTGERS UNIVERSITY, CAMDEN
CAMPUS: invites applications for an Assi
27;t "the answer" yet, and I'm sure others on this list will have
more sophisticated suggestions than I, but I thought it would help to
clear away some of the underbrush & facilitate the discussion.
Mike
***
Regarding Rich Ulrich's experience in grad school:
Now *there's* a way to deal with tests of questionable validity: suppress
the results!
Maybe the department was being run by George W. Bush?
Mike
A friend of mine in Economics wrote this in response to the question about
time-series analysis:
Mike
-- Forwarded message --
Date: Fri, 17 Dec 1999 10:23:06 -0500
From: Jack Worrall <[EMAIL PROTECTED]>
To: Mike Wogan <[EMAIL PROTECTED]>
Subject: Re: Software about
d "econometrics tool kit," but I'd have to check to be sure I have
the right title for the program.
I'll be interested to see what answers others give...
Mike
ight account for the drop in coef. alpha.
Don't you have to be concerned with why the drop? (I'm assuming in the
original scale the coef. alpha was relatively high, even if, in the
original group, you only looked at these four items.)
Mike
in the
experiment (isn't there a non-reactive measure that could be used here
instead?)
I thought these were all important comments. But they get us further
off into questions of experimental design, and the original question still
hasn't been answered. So come on, guys and gals, which test is it? I
want to know.
Mike
Donald,
I'm a firm believer in the effects of Maxwell's Demon.
Mike
mixed model Anova, with Training vs. No Training as the between groups
factor and Pre-Post as the within groups factor.
Mike
Pardon my last, redundant message to Rich Strauss, regarding edStat-L,
which has re-instated me for some reason. I thought his message had been
posted to another list.
M.W.
PROTECTED]
that's edstat-L (not "one").
Drake Bradley, at Bates, has written a program for Experimental Psych
which will generate *data* randomly, which conforms to certain limits
(mean, s.d.), but I'm not sure his programs will do anything that complex.
Mike
Robert,
What are Chernoff faces?
Mike
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