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2002-02-05 Thread Kn2xO3iy

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2002-01-21 Thread cptchz

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2002-01-18 Thread cWZ
Title: ·Q¦^¨ý»P±¡¤Hªì¦¸ÁÛ°mªº´þ¨ý¶Ü






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2001-11-26 Thread Ivan Balducci

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[no subject]

2001-11-14 Thread Carl Huberty



I, too, prefer closed-book tests in statistical methods 
courses. I also like short-answer items, some of which may be 
multiple-choice items. [Please don't gripe that all multiple-choice items 
assessonly memory recall; such items, if constructed well, may be very 
helpful in assessing learning!] I think that a very important aspect of 
evaluation of student performance and knowledge pertains to variability; 
variability in the sense of class performance. If assessment of student 
learning does not reflect some variability in student performance, there is a 
very serious problem with the assessment process used! Of course, 
variability may be expected to decrease as we get into more advanced 
courses.

For whatever it is worth.

Carl Huberty


[no subject]

2001-11-14 Thread Jineshwar Singh

unsubscribe edstat-l
Jineshwar Singh
Business Department
George Brown College
St .James campus
[EMAIL PROTECTED]
*
You cannot control how others act but you can
control how you react.
416 -415-2089
http://www.gbrownc.on.ca/~jsingh





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Re: no subject

2001-10-02 Thread Stan Brown

Rich Ulrich [EMAIL PROTECTED] wrote in sci.stat.edu:
Just a reminder, folks -  
The Usenet group sci.stat.edu is linked to a mailing list.

I posted to the newsgroup and got a bounce message about my mail 
to someone at Stanford. I don't know enough about mailing-list 
software to suggest details, but surely it is possible to configure 
it so that this does not happen? Bounce messages should go to the 
owner of the mailing list, not to someone who is not even a member.

-- 
Stan Brown, Oak Road Systems, Cortland County, New York, USA
  http://oakroadsystems.com
My reply address is correct as is. The courtesy of providing a correct
reply address is more important to me than time spent deleting spam.


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no subject

2001-10-01 Thread Charles Blaich

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-- 
Charles Blaich
Daniel F. Evans Associate Professor of Social Science
Special Assistant to the Dean for Strategic Initiatives
Wabash College
Crawfordsville, IN  47933



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Re: no subject

2001-10-01 Thread Rich Ulrich

Just a reminder, folks -  
The Usenet group sci.stat.edu is linked to a mailing list.

If you really want to Unsubscribe from the mailing list,
do NOT post your  request to the group's address for Questions.

Please heed the message which is listed 
AT THE BOTTOM OF EVERY MAIL-LIST MESSAGE
 - and read those instructions which tell you a different address.

On 1 Oct 2001 07:47:01 -0700, [EMAIL PROTECTED] (Charles Blaich)
wrote:
- his message
unsubscribe

[ ... snip, tag ]
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-- end message
-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html


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No Subject

2001-09-24 Thread Jan Winchell

subscribe edstat-l Jan Winchell


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No Subject

2001-09-19 Thread WILLIAM BEDER MMARCHAN CUYA



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No Subject

2001-08-28 Thread José Aguinaldo Fonseca




subscribe edsta José Aguinaldo Fonseca, UFMG 


No Subject

2001-07-21 Thread jeff rasmussen

SUBSCRIBE EDSTAT-L Jeff Rasmussen


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No Subject

2001-05-31 Thread Fanny Martino

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No Subject

2001-05-04 Thread Carl Huberty



 Why do articles appear in print when 
study methods, analyses, results, and conclusions are somewhat faulty? 
[This may be considered as a follow-up to an earlier edstat interchange.] 
My first, and perhaps overly critical, response is that the editorial 
practices are faulty. I don't find Dennis Roberts' "reasons" in his 27 Apr 
message too satisfying. I regularly have students write critiques of 
articles in their respective areas of study. And I discover many, many, 
... errors in reporting. I often ask myself, WHY? I can think of two 
reasons: 1) journal editors can not or do not send manuscripts to reviewers with 
statistical analysis expertise; and 2) manuscript originators do not regularly 
seek methodologists as co-authors. Which is more prevalent?
 For whatever it is worth 
...

Carl Huberty


(no subject)

2001-05-03 Thread Ivan Balducci

subscribe ,edstat-livan balducci, unesp



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No Subject

2001-05-01 Thread SamFaz Consulting
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No Subject

2001-04-20 Thread Hindley, Jane

Dear Eric,

I'm writing my summer school course outline, and would like to know
what the budget is for outside speakers before approaching anyone.  The
outline should be finished by the end of next week.

best wishes,

janeh

 application/ms-tnef


No Subject

2001-04-09 Thread NEUMA TERESINHA NADAL




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(no subject)

2001-04-02 Thread Jan Sjogren

SAT scores are approximately normal with mean 500 and a standard
devotion 100. Scores of 800 or higher are reported as 800, so a perfect
paper is not required to score 800 on the SAT. What percent of students
who take the SAT score 800?

The answer to this question shall be: SAT scores of 800+ correspond to
z3; this is 0.15%.

Please help me understand this. I dont understand how I get that z3???
and that it is 0.15%?

Thanks for help





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SAT z3 (Was: Re: (no subject))

2001-04-02 Thread Donald Burrill

Everything you need is in what you wrote.

You do understand that "z" is the usual shorthand for "a standard score", 
and that a standard score is the representation of a given raw score as 
its deviation from the population mean in standard-deviation units? 

The rest is merely a lookup in a table of the standard normal 
distribution.  (I find it to be somewhat less than 0.15%, though.)
-- DFB.

On Mon, 2 Apr 2001, Jan Sjogren wrote:

 SAT scores are approximately normal with mean 500 and a standard
 devotion 100.  Scores of 800 or higher are reported as 800, so a 
 perfect paper is not required to score 800 on the SAT.  What percent 
 of students who take the SAT score 800?
 
 The answer to this question shall be: SAT scores of 800+ correspond 
 to z3; this is 0.15%.
 
 Please help me understand this.  I don't understand how I get that 
 z3??? and that it is 0.15%?

 
 Donald F. Burrill [EMAIL PROTECTED]
 348 Hyde Hall, Plymouth State College,  [EMAIL PROTECTED]
 MSC #29, Plymouth, NH 03264 603-535-2597
 184 Nashua Road, Bedford, NH 03110  603-471-7128  



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Re: (no subject)

2001-04-02 Thread dennis roberts

well, this is a tricky sort of ?  if in fact, all REAL scores that 
actually convert to a SAT value ... anything = to or  than 800 are listed 
as ... 800 ... then, the ? really can't be ... what is the p value for 
having 800 or more ... has to be what is the p value for 800

but, the question being asked is probably wanting you to assume that scores 
could go larger than 800 ... so, for all practical purposes ... it amounts 
to a ? of 800 or more ...

minitab would say:

MTB  cdf 800;
SUBC norm 500 100.

Cumulative Distribution Function

Normal with mean = 500.000 and standard deviation = 100.000

  xP( X = x )
   800.0.9987

MTB  let k1=1-.9987
MTB  prin k1

Data Display

K10.0013
MTB  let k2=100*k1
MTB  prin k2

Data Display

K20.13 ... as a percent ... about .13 of ONE percent ... about the 
value you have as the answer
MTB 


At 08:23 PM 4/2/01 +, Jan Sjogren wrote:
SAT scores are approximately normal with mean 500 and a standard
devotion 100. Scores of 800 or higher are reported as 800, so a perfect
paper is not required to score 800 on the SAT. What percent of students
who take the SAT score 800?

The answer to this question shall be: SAT scores of 800+ correspond to
z3; this is 0.15%.

Please help me understand this. I dont understand how I get that z3???
and that it is 0.15%?

Thanks for help





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_
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm



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No Subject

2001-02-18 Thread Jineshwar Singh

subscribe edstat-l  jineshwar singh
Jineshwar Singh
Business Department
George Brown College
St .James campus
[EMAIL PROTECTED]
*
You cannot control how others act but you can
control how you react.
416 -415-2089
http://www.gbrownc.on.ca/~jsingh





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No Subject

2001-02-09 Thread BAECULA



subscribe


No Subject

2001-01-25 Thread Michail Solovjov

unsubscribe edstat-l
end



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Re: By trial, or by subject?

2001-01-16 Thread Elliot Cramer

In sci.stat.edu Rich Ulrich [EMAIL PROTECTED] wrote:

: If it is some other data...  When you have multiple replications,
: sometimes you don't want the *mean* -- for "best single performance"
: you might select maximum or minimum.  Or you might consider a trimmed

or in a situation where you expect an increasing trend, the final or last
few obs might be best



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Re: By trial, or by subject?

2001-01-15 Thread Jeff Rasmussen
William Dunlap at Tulane has done some research on this.  Do a lit search on his name.

Jeff Rasmussen

Spirit of Tao Te Ching  Images of Taoism   http://psychology.iupui.edu/tao

TAO TE CHING... the Book, the Song, the Miniseries   http://www.symynet.com

Zen/Tao 10 Oxherding Pictures  http://psychology.iupui.edu/ox/main.htm

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Re: By trial, or by subject?

2001-01-15 Thread Sky

Hi Jim,
Is it correct that you measured every subject 100 times (25 times in all 4
drugs/dose groups)? Then it might be a good idea to use a repeated
measurement test. This tests takes into account that people may have a
different 'base' temperature; it takes away some of the within group error
and may give your test a greater power. It's easiest to use the mean of your
25 observations in the 4 groups, also because you don't seem to be
interested in differences in temperature over time or something.
Sky


Jim Kroger heeft geschreven in bericht ...
Hello, I've received some expert help here on a couple previous occasions
(thanks). I have an issue bothering me, which I'd like to present to you.

I'm doing a two-way, 2X2 ANOVA. Suppose I have 20 subjects, and each has
25 observations of the following types:

drug1-doseA (25 for each subject)
drug1-doseB ( " )
drug2-doseA
drug2-doseB

Each observation consists of the subject's temperature. The objective is
to determine whether there is a main effect of either factor (drug type
and doseage) on temperature, and whether there is an interaction between
the two.

My question is, should I determine an average for each subject in each of
the four cells, and use this as data to put into the ANOVA, or should I
put the raw trials themselves into the ANOVA? There would be 80 datapoints
and 2000 data points respectively, 20 or 500 per cell. I have seen both
approaches taken but never heard a satisfactory justification. It would
seem they are not equivalent since the latter, having more observations,
has greater power. What are the implications of each option?

Thank you much,
Jim





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Re: By trial, or by subject?

2001-01-15 Thread Elliot Cramer

In sci.stat.edu Jim Kroger [EMAIL PROTECTED] wrote:
: Hello, I've received some expert help here on a couple previous occasions
: (thanks). I have an issue bothering me, which I'd like to present to you.

: I'm doing a two-way, 2X2 ANOVA. Suppose I have 20 subjects, and each has
: 25 observations of the following types:

no matter how you do it the proper analysis will be equivalent to using
submect means.  adding a replication factor would permit other tests
(which you are not interested in) but due to their correlation structure
the tests would not be valid.


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Re: By trial, or by subject?

2001-01-15 Thread Rich Ulrich

On 15 Jan 2001 17:23:11 GMT, Elliot Cramer [EMAIL PROTECTED]
wrote:

 In sci.stat.edu Jim Kroger [EMAIL PROTECTED] wrote:
 : Hello, I've received some expert help here on a couple previous occasions
 : (thanks). I have an issue bothering me, which I'd like to present to you.
 
 : I'm doing a two-way, 2X2 ANOVA. Suppose I have 20 subjects, and each has
 : 25 observations of the following types:
 
 no matter how you do it the proper analysis will be equivalent to using
 submect means.  adding a replication factor would permit other tests
 (which you are not interested in) but due to their correlation structure
 the tests would not be valid.

As it was stated, Elliot nailed the first question.  
A valid ANOVA treats the average (sum) as its starting point.

If this isn't the REAL data, then something else might be true.

If those are 25 0/1  items, then you might do better to model them as
logistic, or something else other than a linear sum - as someone 
suggested.

If it is some other data...  When you have multiple replications,
sometimes you don't want the *mean* -- for "best single performance"
you might select maximum or minimum.  Or you might consider a trimmed
mean.  Or best consistency could be indicated by smallest SD, or the
best performance over a specific range (that could be, something about
the Confidence Interval).

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html


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Re: By trial, or by subject?

2001-01-15 Thread Donald Burrill

Jim, a few comments in addition to those made by other respondents:

On Mon, 15 Jan 2001, Jim Kroger wrote in part:

 I'm doing a two-way, 2X2 ANOVA. Suppose I have 20 subjects, and each has
 25 observations of the following types:
 
 drug1-doseA (25 for each subject)
 drug1-doseB ( " )
 drug2-doseA
 drug2-doseB
You have not stated how many subjects (Ss) receive each 
drug/dose combination.  If all 20 Ss receive all 4 combinations, as 
implied by your assertion of 80 data points (below), then the design is 
not completely given:  you must also have a factor representing the order 
in which the combinations were encountered by each S.  If all Ss got the 
various drug/dose combinations in the same order, you have no way of 
telling whether (e.g.) the first combination affected responses to the 
later combinations, nor even in which direction.  Also in this case, as 
one other respondent pointed out, you have a repeated-measures design:
that is, instead of  S(G x E)  as in the usual 2-way ANOVA (using S for 
Subjects, G for druG, E for dosE), you have  S x G x E,  which implies 
(inter alia) different error terms for G, E, and GE.

(In that notation, using R for the raw data values within each S, the two 
designs above would be  R(S(B x E)  and  R(S) x G x E .  As remarked 
below, the same ratios of mean squares are computed, whether R is 
explicitly accounted for in the design or not.)

 ... The objective is to determine whether there is a main effect of 
 either factor (drug type and doseage) on temperature, and whether there 
 is an interaction between the two.
 
 My question is, should I determine an average for each subject in each 
 of the four cells, and use this as data to put into the ANOVA, or 
 should I put the raw trials themselves into the ANOVA?

As others have pointed out, it makes no difference.  Your 
hypotheses are tested by comparisons among the cell means, and the 
denominator mean square for each hypothesis will be the estimated 
sampling variance of the means in question.  Whether you use the mean of 
25 trials for each S, or the 25 raw trials themselves, you get the same 
numbers. 

 There would be 80 datapoints and 2000 data points respectively, 20 or 
 500 per cell.  I have seen both approaches taken but never heard a 
 satisfactory justification.  It would seem they are not equivalent 
 since the latter, having more observations, has greater power. 

As remarked above, this is not true.  One has the same numerical 
estimates, and the same numbers of degrees of freedom in numerator and 
denominator, for each hypothesis test.  As other respondents have 
mentioned, if the raw data are a 0/1 dichotomy, there may be an advantage 
in using a logistic rather than a normal model;  but if the proportions 
(the several cell means) are not very close to 0 or 1, say between .25 
and .75, there will not be much difference in the results of the 
analysis. 

 --
 Donald F. Burrill[EMAIL PROTECTED]
 348 Hyde Hall, Plymouth State College,  [EMAIL PROTECTED]
 MSC #29, Plymouth, NH 03264 (603) 535-2597
 Department of Mathematics, Boston University[EMAIL PROTECTED]
 111 Cummington Street, room 261, Boston, MA 02215   (617) 353-5288
 184 Nashua Road, Bedford, NH 03110  (603) 471-7128



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By trial, or by subject?

2001-01-14 Thread Jim Kroger

Hello, I've received some expert help here on a couple previous occasions
(thanks). I have an issue bothering me, which I'd like to present to you.

I'm doing a two-way, 2X2 ANOVA. Suppose I have 20 subjects, and each has
25 observations of the following types:

drug1-doseA (25 for each subject)
drug1-doseB ( " )
drug2-doseA
drug2-doseB

Each observation consists of the subject's temperature. The objective is
to determine whether there is a main effect of either factor (drug type
and doseage) on temperature, and whether there is an interaction between
the two.

My question is, should I determine an average for each subject in each of
the four cells, and use this as data to put into the ANOVA, or should I
put the raw trials themselves into the ANOVA? There would be 80 datapoints
and 2000 data points respectively, 20 or 500 per cell. I have seen both
approaches taken but never heard a satisfactory justification. It would
seem they are not equivalent since the latter, having more observations,
has greater power. What are the implications of each option?

Thank you much,
Jim

-- 
Remove SPAMBLOCK to reply


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No Subject

2001-01-04 Thread Ramanathan M



SUBSCRIBE EDSTAT-L Rama Ramanathan




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No Subject

2000-12-20 Thread Mehran Hosseini



SUBSCRIBE EDSTAT-L 
Mehran


No Subject

2000-11-20 Thread Paul W. Jeffries

Dear List,

What software would you recommend for writing documents that contain
mathematical symbols?  Microsoft Word does not have all the symbols I
need.

Paul W. Jeffries
Department of Psychology
SUNY--Stony Brook
Stony Brook NY 11794-2500
[EMAIL PROTECTED]



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2000-09-23 Thread R.C. Jordan



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2000-09-04 Thread Daphne Kounali

subscribe EDSTAT-L Daphne Kounali




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2000-07-26 Thread Gary Winkel

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2000-07-10 Thread Aitchison, Randall

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2000-06-30 Thread Eduardo Bearzoti

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2000-06-19 Thread Sahouck

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2000-06-15 Thread sahar salah




Due to my PHD I'm preparing a 
questionnaire. But the popular is very large.I classified it into 35 
categories. All I need, is to determine the sample size. is it proportional to 
the popular size? How can I determine that sample size?Please I need your 
help.sahar salah


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2000-06-14 Thread Shareef Siddeek

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2000-06-09 Thread Nsereko, Musa

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2000-05-16 Thread Marcelo Costa Souza

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Marcelo Costa Souza, UFLA



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2000-05-04 Thread Derek Ogle

Members, 
Can anyone provide me (a description or a reference will suffice) with a
convincing argument or demonstration of WHY the first eigenvector-eigenvalue
of the variance-covariance matrix represents the direction and magnitude of
the greatest variability in the "cloud of multivariate data"? I can convince
the students that this is what happens but I can't convince them of the why
this is what happens. Thank you in advance for your help.


Dr. Derek H. Ogle
Northland College
127 Bobb Hall

[EMAIL PROTECTED]
www.northland.edu/dogle/



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2000-04-10 Thread Rex Boggs

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2000-01-07 Thread Marcos




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1999-12-25 Thread Don Bentley - Pomona College

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1999-12-24 Thread Don Bentley - Pomona College

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1999-12-10 Thread Jeremy Humphries

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1999-01-17 Thread matt scanlon

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