Dear all :-)
Suppose i have a factorial design with two between-subject factors (one
factor A of 3 levels and one factor B of 2 levels) en two within-subject
factors (one factor C of 2 levels and one factor D of 5 levels). Of course,
to perform an ANOVA on this data, my matrix should like :
Hi
On Thu, 18 Oct 2001, Wouter Duyck wrote:
Suppose i have a factorial design with two between-subject factors (one
factor A of 3 levels and one factor B of 2 levels) en two within-subject
factors (one factor C of 2 levels and one factor D of 5 levels). Of course,
to perform an ANOVA on this
A week or so ago I suggested the following: Some of those who think that
estimation of the size of effects is more important than the testing of a
nil hypothesis of no effect argue that we would be better served by
reporting a confidence interval for the size of the effect. Such confidence
I caught part of a news story on TV saying that an office that had tested
positive for anthrax was pronounced clean after further testing. Does
anyone have any numbers on the probability of a false positive when using
the test for anthrax? This info would be useful since I am just now
talking
On Tue, 16 Oct 2001 12:08:05 +0100, Thom Baguley
[EMAIL PROTECTED] wrote:
Donald Burrill wrote:
Assuming an ordinary vehicle with 4 tires, and that the students'
responses are independent, (1/4)^6 = 1/4096.
Mind you, they won't be independent.
They'll be independent, just not equally likely.
IT AIN'T NECESSARILY SO - Dr. David Murray
Saturday, October 27, 2pm-3:30pm
Twinbrook Library, 202 Meadow Hall Drive, Rockville, MD
Dr. David Murray, discusses and signs his book, It Ain't Necessarily So:
How Media Make and Unmake the Scientific Picture of Reality. The book
will be available for
Warren [EMAIL PROTECTED] wrote in sci.stat.edu:
I don't feel MM's are any more trivial to introduce the concepts than
the usual chips in an urn or balls from a jar.
Using MMs has one huge pedagogical advantage: most people learn
better when more of their senses are engaged. I would expect,
David B [EMAIL PROTECTED] a écrit dans le message news:
9qfl96$4md$[EMAIL PROTECTED]
Hi,
I am looking for some synthetic (or even some not so synthetic)
papers/courses about the squared CUSUM test of stability on the web (I
didn't manage to find any and it seems to be just beyond standard
On Wed, 17 Oct 2001 15:50:35 +0200, Tobias Richter
[EMAIL PROTECTED] wrote:
We have collected variables that represent proportions (i. e., the
proportion of sentences in a number of texts that belong to a certain
category). The distributions of these variables are highly skewed (the
Rich Ulrich [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
On Wed, 17 Oct 2001 15:50:35 +0200, Tobias Richter
[EMAIL PROTECTED] wrote:
We have collected variables that represent proportions (i. e., the
proportion of sentences in a number of texts that
Rich Strauss [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
However, the arcsin transformation is for proportions (with fixed
It's also designed for stabilising variance rather than specifically inducing
symmetry.
Does it actually produce symmetry as well?
denominator), not
Yes [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
Glenn Barnett wrote:
One n in Glen.
OK, I see what you were getting at - but I still disagree, if it is
understood that we are talking about large samples.
Your original comment that I was replying to was:
In article [EMAIL PROTECTED],
Rich Ulrich [EMAIL PROTECTED] wrote:
On Wed, 17 Oct 2001 15:50:35 +0200, Tobias Richter
[EMAIL PROTECTED] wrote:
We have collected variables that represent proportions (i. e., the
proportion of sentences in a number of texts that belong to a certain
category).
FROM;CYRIL DUNAKA{ESQ}
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How would I generate an n-dimensional cauchy random number. I know I can't
just call the univariate routine n times. Methods or downloadable routines
would be appreciated.
Lonnie Hamm
=
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