In article [EMAIL PROTECTED],
Radford Neal [EMAIL PROTECTED] wrote:
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
In article [EMAIL PROTECTED],
Dennis Roberts [EMAIL PROTECTED] wrote:
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
Dennis Roberts wrote:
At 01:23 AM 9/28/01 +, Radford Neal wrote:
radford makes a nice quick summary of the basic differences between
bayesian and frequentist positions, which is helpful. these distinctions
are important IF one is seriously studying statistical ideas
personally, i
In article [EMAIL PROTECTED],
David Heiser [EMAIL PROTECTED] wrote:
-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
My opinion, FWIW:
The answer to your question in a strict fashion, assuming the experiment is
well designed, depends to a large extent on your a priori null hypothesis
and how you performed the statistical test.
In this case, presuming that you used a two-sided p value and that you
established
In article 001501c1482f$756d6190$e10e6a81@PEDUCT225,
Paul R. Swank [EMAIL PROTECTED] wrote:
If your purpose is to try and teach students about confidence intervals,
then it makes little sense to start out by telling them the counterexamples.
Without counterexamples, it becomes quasi-religious
In article 001501c1482f$756d6190$e10e6a81@PEDUCT225,
[EMAIL PROTECTED] wrote:
#If your purpose is to try and teach students about confidence intervals,
#then it makes little sense to start out by telling them the
#counterexamples.
Why not? My purpose would be to teach students that confidence
Herman Rubin [EMAIL PROTECTED] wrote:
Teaching people to use something without any understanding
can only be ritual; this is what most uses of statistics
are these days.
If one does not use numbers, it is opinion. I hope that the
pediatricians you have in your classes do not misuse data
Jerry Dallal [EMAIL PROTECTED] wrote:
John Jackson wrote:
this is the second time I have seen this word used: frequentist?
Since Radford Neal has already given an excellent explanation,
let me add...
A roulette wheel comes up with a red number 10 times in a row. When
deciding how to
I am interested in how to describe the data that does not reside in the area
described by the confidence interval.
For example, you have a two tailed situation, with a left tail of .1, a
middle of .8 and a right tail of .1, the confidence interval for the middle
is 90%.
Is it correct to say
your formula is right on the money, but suppose your problem supplies no
SD - see my recent message in this thread.
Dennis Roberts [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
this is the typical margin of error formula for building a confidence
interval were
Really sorry.
My formula is a rearrangement of the confidence interval formula shown below
for ascertaining the maximum error.
E = Z(a/2) x SD/SQRT N
The issue is you want to solve for N, but you have no standard deviation
value.
The formula then translates into n = (Z(a/2)*SD)/E)^2Note:
At 01:23 AM 9/28/01 +, Radford Neal wrote:
radford makes a nice quick summary of the basic differences between
bayesian and frequentist positions, which is helpful. these distinctions
are important IF one is seriously studying statistical ideas
personally, i think that trying to make
John Jackson wrote:
this is the second time I have seen this word used: frequentist?
Since Radford Neal has already given an excellent explanation,
let me add...
A roulette wheel comes up with a red number 10 times in a row. When
deciding how to place his/her next bet...
The person on the
this is the typical margin of error formula for building a confidence
interval were the sample mean is desired to be within a certain distance of
the population mean
n = sample size
z = z score from nd that will produce desired confidence level (usually
1.96 for 95% CI)
e = margin of error
If your purpose is to try and teach students about confidence intervals,
then it makes little sense to start out by telling them the counterexamples.
I don't start telling students about standard deviations by describing a
Cauchy distribution. Now if we are going to do away with confidence
I have a dataset which has about 35 column. Many of the cells have missing
values. Since MINITAB recognizes the missing values, I can perform the
statistical work I need to do and don't need to worry about the missing
values. However, I would like to be able to obtain the subset of
unless you have a million rows ... seems like using the data window and
just sliding over each row and highlight and delete ... would be easy
by the way, why do you want to get rid of entire rows just because
(perhaps) one value is missing? are you not wasting alot of useful data?
At 06:16 PM
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