John Jackson [EMAIL PROTECTED] wrote in message
MGns7.49824$[EMAIL PROTECTED]">news:MGns7.49824$[EMAIL PROTECTED]...
re: the formula:
n = (Z?/e)2
This formula hasn't come over at all well. Please note that newsgroups
work in ascii. What's it supposed to look like? What's it a
Hi
On 26 Sep 2001, Burke Johnson wrote:
R Pretest Treatment Posttest
R PretestControl Posttest
In the social sciences (e.g., see Pedhazur's popular
regression text), the most popular analysis seems to be to
run a GLM (this version is often called an ANCOVA), where Y
is the
I'm lookng for a history, if exists, of the cariuos statistcal
package. Their Philosophy, their changment throgugh the release.
anyone know anythingh about this topic?
I'll apprecieted very much your help
A kiss from your Urlo
=
it seems to me that the notion of a confidence interval is a general
concept ... having to do with estimating some unknown quantity in which
errors are known to occur or be present in that estimation process
in general, the generic version of a CI is:
statistic/estimator +/-
Dennis Roberts wrote:
it seems to me that the notion of a confidence interval is a general
concept ... having to do with estimating some unknown quantity in which
errors are known to occur or be present in that estimation process
in general, the generic version of a CI is:
Some years ago I did a simulation on the pretest-posttest control group
design lokking at three methods of analysis, ANCOVA, repeated measures
ANOVA, and treatment by block factorial ANOVA (blocking on the pretest using
a median split). I found that that with typical sample sizes, the repeated
I use to find that students respoded well to the idea that the hypothesis
test told you, within the limits of likelihood set, where the parameter
wasn't while confidence intervals told you where the parameter was.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science
let's say that you do a simple (well executed) 2 group study ...
treatment/control ... and, are interested in the mean difference ... and
find that a simple t test shows a p value (with mean in favor of treatment)
of .009
while it generally seems to be held that such a p value would suggest
Dennis Roberts wrote:
it seems to me that the notion of a confidence interval is a general
concept ... having to do with estimating some unknown quantity in which
errors are known to occur or be present in that estimation process
in general, the generic version of a CI is:
At 07:33 AM 9/27/01 -0700, Warren wrote:
Now, we take our sample mean and s.d. and we compute a CI. We know
we can't say anything about a probability for this single CI...it
either
contains the mean or it doesn't. So, what DOES a CI tell us? Does it
really give you a range of values where
(Warren) wrote in message:
So, what is your best way to explain a CI? How do you explain it
without using some esoteric discussion of probability?
I prefer to focus on the reliability of the estimate and say it is:
A range of values for an estimate that reflect its unreliability and
which
There is a specific problem associated w/this formula:
I need to do a spot check of our inventory of CDs to ascertain which ones
are genuine CDs from the factory and which ones are counterfeit CDs burned
by a forger. I have recommeded that we take a random sample by SKU numbers
and I was told it
In article 008201c14763$9392f260$e10e6a81@PEDUCT225,
[EMAIL PROTECTED] wrote:
#I use to find that students respoded well to the idea that the hypothesis
#test told you, within the limits of likelihood set, where the parameter
#wasn't while confidence intervals told you where the parameter was.
I would have to respectfully disagree with Dennis' comment
also. Having the pre values twice in the model does not
hurt or change anything in interpreting the treatment effect.
BUT I do not like this approach. It makes the results more
difficult to interpret when you do have a variable in both
No more than hypothesis tests necessarily tell you when the null hypothesis
is false. Nothing is certain in statistics but uncertainty.
Paul R. Swank, Ph.D.
Professor
Developmental Pediatrics
UT Houston Health Science Center
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL
Dennis Roberts wrote:
in the case of CIs ... no, you are not sure at all that the range you got
in your CI encompasses the parameter but, what are the odds that it does
NOT? generally, fairly small.
You're slipping into Bayesian territory... I would say the answer
to your question is, It
In article 000101c14787$f06dcf90$e10e6a81@PEDUCT225,
[EMAIL PROTECTED] wrote:
#No more than hypothesis tests necessarily tell you when the null
#hypothesis
#is false. Nothing is certain in statistics but uncertainty.
In what way does a CI tell you where the parameter was (your word), if
you
This is a better example than the apples (I hope). This time is their is a
n=x provided.
Jay Warner [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
@Home wrote:
I have estimation of mean / confidence level problem with very litte
data
to go on ie no Std
In article yyPs7.55095$[EMAIL PROTECTED],
John Jackson [EMAIL PROTECTED] wrote:
this is the second time I have seen this word used: frequentist? What does
it mean?
It's the philosophy of statistics that holds that probability can
meaningfully be applied only to repeatable phenomena, and that
[ This is a repost of the following article: ]
[ From: Law Hiu Chung [EMAIL PROTECTED] ]
[ Subject: Question on Gaussian distribution ]
[ Newsgroups: sci.stat.math
John Jackson [EMAIL PROTECTED] writes:
this is the second time I have seen this word used: frequentist?
What does it mean?
``Frequentist'' is the term used by Bayesians to describe partisans of
Fisher et al's revisionist edict that ``probability'' shall be declared
to be semantically
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of Gordon D. Pusch
Sent: Thursday, September 27, 2001 7:33 PM
To: [EMAIL PROTECTED]
Subject: Re: What is a confidence interval?
John Jackson [EMAIL PROTECTED] writes:
this is the second time I have seen
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