Excel vs. Specialized stats packages (was: Excel vs Quattro Pro)

2002-01-08 Thread James Huntington

Dennis Roberts [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
 i don't know the answer to this but ... i have a general question with
 regards to using spreadsheets for stat analysis

 why? ... why do we not help our students and encourage our students to use
 tools designed for a task ... rather than substituting something that may
 just barely get us by?

 we don't ask stat packages to do what spreadsheets were designed to do ...
 why the reverse?

This is an interesting discussion, but the line between a spreadsheet and
stats package is not so clear-cut these days. If you look at how the major
stats packages have developed over the last decade, you can see how they
have copied more and more features from Excel. In fact almost all stats
packages now boast of containing a fully featured built-in spreadsheet for
data entry.



Looking at the situation from another angle, why can't a spreadsheet be used
for statistical analysis? Granted, some of Excel's built-in statistical
functions leave a lot to be desired and should be used with care. But the
Excel spreadsheet package is still head-and-shoulders above any other
similar product in terms of ease of use, data entry and collection,
presentation, programming interfaces, and it's excellent integration with
the other Office applications.



So if the basic spreadsheet component is sound, and almost all computer and
non-computer literate users can use Excel without problems, why not just
extend Excel's statistical capabilities with reliable accurate statistical
add-ons? Many exist, and we develop a product called Analyse-it for this
very purpose.



I think the group should also remember than versions of SAS and SPSS from
only a few years ago suffered from accuracy problems. McCullough published
details of the problems in his articles for The American Statistician in
1999. Of course, the product developers have now fixed the problems which
customers no doubt paid for in later upgrades. And yet these packages are
still seen as the gold standard, taken for granted as accurate, even though
these accuracy problems lurked for possibly 10 or 15 years until highlighted
by McCullough!



I am not saying the problems of Excel, a tool so widely used and taken for
granted by most users, should not have its problems highlighted. But, to say
that the whole Excel package should be dismissed in favour of a stats
package which costs more, basically is a copy of Excel's spreadsheet
functionality, and then has accuracy problems of it's own, is a little
blinkered.



A reliable low-cost statistics add-on for Excel can easily bypass these
problems.



_

James Huntington,
..Analyse-it Software, Ltd.
.
Analyse-it! accurate low-cost statistical software for
Microsoft Excel. For more information  to download a
free evaluation, visit us: http://www.analyse-it.com




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Re: Excel vs. Specialized stats packages (was: Excel vs Quattro Pro)

2002-01-08 Thread Dennis Roberts


rse?

This is an interesting discussion, but the line between a spreadsheet and
stats package is not so clear-cut these days. If you look at how the major
stats packages have developed over the last decade, you can see how they
have copied more and more features from Excel. In fact almost all stats
packages now boast of containing a fully featured built-in spreadsheet for
data entry.

certainly minitab makes no such claim ... their worksheet is NOT a spreadsheet




Looking at the situation from another angle, why can't a spreadsheet be used
for statistical analysis? Granted, some of Excel's built-in statistical
functions leave a lot to be desired and should be used with care. But the
Excel spreadsheet package is still head-and-shoulders above any other
similar product in terms of ease of use, data entry and collection,
presentation, programming interfaces, and it's excellent integration with
the other Office applications.

so, i am not sure this has anything to do with statistical analysis




So if the basic spreadsheet component is sound, and almost all computer and
non-computer literate users can use Excel without problems, why not just
extend Excel's statistical capabilities with reliable accurate statistical
add-ons? Many exist, and we develop a product called Analyse-it for this
very purpose.

i have looked at analyse-it and one other plug in (plus what comes with 
excel) ... and, there just is no comparision between them (well there is 
... and it is not very good) and most of the popular stat packages

A reliable low-cost statistics add-on for Excel can easily bypass these
problems.

unfortunately though, it does not exist

here are the major problems with using excel as a stat package including 
3rd party plugins (off the top of my head)

1. poor data MANAGEMENT capabilities
2. poor and HIGHLY LIMITED graphics
3. highly limited set of routines to select from
4. inability to work with any/many random generation functions (for 
distributions)
5. limited access to important statistical tables

from discussions like this on several lists, it is clear that no argument 
pro or con will sway those who have opted for or agin using excel as the 
statistical analysis tool

but, each side keeps trying

this kind of discussion, though interesting, pales in comparision to a 
discussion we should be having about the over reliance and importance we 
place in statistical analysis in the first place ... and even though i have 
been in this sort of enterprise for more years than you can shake a stick 
at ... the reality is that typical analysis that we do has limited 
practical uses and benefits

the entire area of statistical significance testing is just one case in point



_

James Huntington,
..Analyse-it Software, Ltd.
.
Analyse-it! accurate low-cost statistical software for
Microsoft Excel. For more information  to download a
free evaluation, visit us: http://www.analyse-it.com




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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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Re: Excel vs. Specialized stats packages (was: Excel vs Quattro Pro)

2002-01-08 Thread Art Kendall

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James Huntington wrote:

 Excel spreadsheet package is still head-and-shoulders above any other
 similar product in terms of ease of use, data entry and collection,
 presentation, programming interfaces, and it's excellent integration with
 the other Office applications.


IMHO. Excel has market share but it is third in the three major spreadsheets for
ease of use etc..
Quattro Pro, Lotus, Excel.

Spreadsheets are not designed to carry value labels, distinct missing values,
level of measurement, etc in the data definition


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RE: clusters within a sample

2002-01-08 Thread Simon, Steve, PhD








Yvonne Unrau writes:



I am
working with a large administrative data (N=1,086)

set
for a foster care agency. In short, I am comparing

client
outcomes across two branches (each is delivering

a
different service model). For analyses, I am using

logistic
regression (SPSS) where my dependent

variables
include a variety of outcomes measuring


program success vs. failure. My test variable is the

program
(two groups), plus I have several other

demographic
and service related variables. 



My
problem is that I have two types of clusters of

children
in my data set: 



siblings
from the same biological family (may or may

not be
placed in the same foster home) 



foster
children placed in one foster home (may or may

not be
siblings) 



I am
looking for ways to test the amount of error

associated
with the above clusters using SPSS. My

strategy
to date has been to SELECT the restricted

sample,
run the LR analysis, then eyeball the results.

What
are my other options?



Wow! A
messy data set. What fun!



First
thing you should do is to get a handle on the size of your clusters. Are they often
just one child and only rarely do the clusters tend to be two or more children?
Or is it the opposite case, where almost every cluster has two or more children
in it.



If most of
your data is just one child in each cluster, then it may make sense to lower your
expectations. A binary dependent variable gives you relatively little information
about variability (at least compared to a continuous variable) and you may be
trying to estimate something without enough data to get any reasonable
estimates.



Second,
you need to understand how the data behaves at a higher level. Create an
aggregate variable across all members of the cluster and then model that
aggregate variable. This is tricky, and you may have to use a model which
assumes nice normal residuals when your data is clearly non-normal. That's
okay, because you are just trying to get a starting point for a more complex
analysis.



Third, you
need to abandon SPSS and use software that can model random effects in a
logistic regression analysis. The beta-binomial model is the one that was first
developed for this data, but other models have been used more recently. I think
SAS and STATA can handle this type of analysis and there is probably other software
as well.



Fourth,
you need to estimate each cluster effect separately first. Estimate the sibling
effect ignoring the foster family effect. If possible, randomly select only one
member within each foster family and do the analysis with a random sibling
effect. Reverse the process and estimate the foster family effect after
randomly selecting only one sibling.



Fifth, see
if you can estimate both effects simultaneously. This model is very complex and
even software that can handle random effects in a logistic regression model may
not be able to handle this.



You may want
to become friends with someone in the Statistics Department at your university.
This is a very tricky analysis.



Good luck!



Steve
Simon, [EMAIL PROTECTED], Standard Disclaimer.

The STATS
web page has moved to

http://www.childrens-mercy.org/stats










edstat@jse.stat.ncsu.edu

2002-01-08 Thread ÖйúÆóÒµÁªÃËÍø


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Re: Excel vs. Specialized stats packages (was: Excel vsQuattro Pro)

2002-01-08 Thread Art Kendall

This is a multi-part message in MIME format.
--141A87E6CFA8A75FBE4147FD
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit

SPSS also does not claim to have a fully featured spread sheet.  The GUI has 2
spreadsheet-like components:  the data view which shows the data table itself
and the variables view which is a table that has a row for each variable and
columns for all the data definition. In the variables views the cells are
un-spreadsheetlike (How's that for a neologism!) in that they use Windows drop
down controls in the cells to define value labels and different kinds of missing
data values.  In the data view cells do not contain formulae.

SPSS uses many of the Windows features derived from Xerox and DECWindows that
speadsheets use such as menus to create syntax or to directly perform tasks.

Dennis Roberts wrote:

 rse?
 
 This is an interesting discussion, but the line between a spreadsheet and
 stats package is not so clear-cut these days. If you look at how the major
 stats packages have developed over the last decade, you can see how they
 have copied more and more features from Excel. In fact almost all stats
 packages now boast of containing a fully featured built-in spreadsheet for
 data entry.

 certainly minitab makes no such claim ... their worksheet is NOT a spreadsheet

 Looking at the situation from another angle, why can't a spreadsheet be used
 for statistical analysis? Granted, some of Excel's built-in statistical
 functions leave a lot to be desired and should be used with care. But the
 Excel spreadsheet package is still head-and-shoulders above any other
 similar product in terms of ease of use, data entry and collection,
 presentation, programming interfaces, and it's excellent integration with
 the other Office applications.

 so, i am not sure this has anything to do with statistical analysis

 So if the basic spreadsheet component is sound, and almost all computer and
 non-computer literate users can use Excel without problems, why not just
 extend Excel's statistical capabilities with reliable accurate statistical
 add-ons? Many exist, and we develop a product called Analyse-it for this
 very purpose.

 i have looked at analyse-it and one other plug in (plus what comes with
 excel) ... and, there just is no comparision between them (well there is
 ... and it is not very good) and most of the popular stat packages

 A reliable low-cost statistics add-on for Excel can easily bypass these
 problems.

 unfortunately though, it does not exist

 here are the major problems with using excel as a stat package including
 3rd party plugins (off the top of my head)

 1. poor data MANAGEMENT capabilities
 2. poor and HIGHLY LIMITED graphics
 3. highly limited set of routines to select from
 4. inability to work with any/many random generation functions (for
 distributions)
 5. limited access to important statistical tables

 from discussions like this on several lists, it is clear that no argument
 pro or con will sway those who have opted for or agin using excel as the
 statistical analysis tool

 but, each side keeps trying

 this kind of discussion, though interesting, pales in comparision to a
 discussion we should be having about the over reliance and importance we
 place in statistical analysis in the first place ... and even though i have
 been in this sort of enterprise for more years than you can shake a stick
 at ... the reality is that typical analysis that we do has limited
 practical uses and benefits

 the entire area of statistical significance testing is just one case in point

 _
 
 James Huntington,
 ..Analyse-it Software, Ltd.
 .
 Analyse-it! accurate low-cost statistical software for
 Microsoft Excel. For more information  to download a
 free evaluation, visit us: http://www.analyse-it.com
 
 
 
 
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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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The Chart of the Week website

2002-01-08 Thread Gary Klass

http://lilt.ilstu.edu/gmklass/COW/



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The chart of the week

2002-01-08 Thread Gary Klass

http://lilt.ilstu.edu/gmklass/COW/




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Chart of the Week

2002-01-08 Thread Gary Klass

http://lilt.ilstu.edu/gmklass/COW/



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Re: Chart of the Week

2002-01-08 Thread Carl W.

Gary Klass [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
 http://lilt.ilstu.edu/gmklass/COW/

Does this prove that TV makes you bad at math or that if you're bad at math
you tend to watch more TV?

This is a bit like the fact that market researchers only glean information
from people who are willing to take part in market research... Consider:

What if a propensity to say 'Yes' to 'Do you want to take part in a survey?'
would also make you like (say) Chocoloate Peanut Butter more?

Given that a small number of people actually take part in market research,
The Fictional Peanut Butter Corporation is going to start manufacturing
Chocolate Peanut Butter based on their survey, and then find no (or not
many) takers in the 'real world'.

Beware statistics, and more importantly, anything based on market research
or a survey.

Okay, rant over,
Carl




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Parameter Estimate of Pascal Distribution

2002-01-08 Thread Chia C Chong

Hi!

Can I know how do I estimate the parameters for a Pascal distribution??

Thanks,,,

CCC






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Re: Excel vs. Specialized stats packages (was: Excel vs Quattro Pro)

2002-01-08 Thread Art Kendall

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Excel is a microsoft product.  Microsoft's approach is to take existing concepts
and re-package them. (e.g., MSDOS followed most of the conventions of RT-11 and
RSX-11, Windows used a lot of the conventions of Mosaic and DecWindows) It did
not introduce most of the concepts in Excel.  NPCalc was using a visual
spreadsheet before  Microsoft or PC's existed.  VisiCalc introduced the visual
spreadsheet to PC's.

James Huntington wrote:

 snip
 It doesn't, but my point was that a stats package is based around a
 spreadsheet (most of which plagiarize Excel),
 snip

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Re : Approximation F (Snedecor formula)

2002-01-08 Thread Laurent

I have a problem because I can't find Snedecor values for other level  of
probability like 0.995 and 0.999.

Does'it exit a approximation formula wich gives the values of the Snedecor
formula with the two numbers of degres of freedom and the probability level.
Something like Taylor developpement or other.

If somebody known where i can find the values of Snedecor for probability
level like 0.999 or 0.995 (Table or other)

Thanks...

Regards,

Laurence







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Re: Excel vs. Specialized stats packages (was: Excel vs

2002-01-08 Thread myotis

In article [EMAIL PROTECTED], [EMAIL PROTECTED] 
(Dennis Roberts) wrote:

 i have looked at analyse-it and one other plug in (plus what comes with 
 excel) ... and, there just is no comparision between them (well there 
 is ... and it is not very good) and most of the popular stat packages

Can you expand on this, many people have only a minor requirement for some 
basic tests and exploration, often where the budget won't run to the 
purchase or training time involved in using a fuller statistics program.

I would be interested in more fully understanding why there is no 
comparison. 

Many thanks,

Graham S


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Measurement Position

2002-01-08 Thread Dennis Roberts

Now that the holidays are behind (most) us, I would like to remind possible 
interested persons in the Asst./Assoc. Professor position opening in 
Measurement at Penn State ... in the Educational Psychology program. We are 
hoping to find someone with SOME experience beyond the doctorate (but, new 
doctoral recipients will be considered) with primary focus instructional 
areas being some combination of IRT, HLM, and SEM

The description of the position can be found at:

http://www.ed.psu.edu/employment/edpsymeas.asp

If you have ANY questions about this position, please contact ME directly at:

mailto:[EMAIL PROTECTED]





_
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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Re: Parameter Estimate of Pascal Distribution

2002-01-08 Thread Chia C Chong

Hi..

I think I know how to solve this already..I found plenty ways to do this in
the following book:

Univariate discrete distributions, by N.L. Johnson, S. Kotz, A. Kemp

Cheers,
CCC


Chia C Chong [EMAIL PROTECTED] wrote in message
a1fac3$f23$[EMAIL PROTECTED]">news:a1fac3$f23$[EMAIL PROTECTED]...
 Hi!

 Can I know how do I estimate the parameters for a Pascal distribution??

 Thanks,,,

 CCC








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Re: Chart of the Week

2002-01-08 Thread Gary Klass

True -- though I don't think the problem is with response rate -- The data come
from the National NAEP exam, the data points represent the average state math
score and the replies to a survey that I presume was administered to all
students taking the test -- since it is a part of the same database.

A more interesting vorrelation here is the negative correlation between the % of
students with a positive attitude toward mathmatics and the math scores  -- it's
strongly negative.

Perhaps that's that's because students who are not taught difficult math really
like.

Carl W. wrote:

 Gary Klass [EMAIL PROTECTED] wrote in message
 [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
  http://lilt.ilstu.edu/gmklass/COW/

 Does this prove that TV makes you bad at math or that if you're bad at math
 you tend to watch more TV?

 This is a bit like the fact that market researchers only glean information
 from people who are willing to take part in market research... Consider:

 What if a propensity to say 'Yes' to 'Do you want to take part in a survey?'
 would also make you like (say) Chocoloate Peanut Butter more?

 Given that a small number of people actually take part in market research,
 The Fictional Peanut Butter Corporation is going to start manufacturing
 Chocolate Peanut Butter based on their survey, and then find no (or not
 many) takers in the 'real world'.

 Beware statistics, and more importantly, anything based on market research
 or a survey.

 Okay, rant over,
 Carl



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×£Äúƽ°²£¡

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EXCEL 2000 Statistical ToolPac Faults and Problems

2002-01-08 Thread David Heiser

I have started going through McCullough and Wilson's paper On the Accuracy
of Statistical Procedures in Microsoft Excel 2000. I have found one error,
and may find more. However I need to put them all together, and that will
take some time.

My point is that the Excel 2000 faults are not that severe when Excel is
used in the intended environment. The NIST tests are pretty severe and
represent primarily invented data sets or unusual data fitting situations.
I can see workarounds to bypass some of the Excel limitations. I need
however to test them for validity against the NIST data sets first. Again
this is going to take some time.

What I intended is to say is, don't jump to conclusions yer.

DAHeiser



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Re: Excel vs Quattro Pro

2002-01-08 Thread Kenmlin

Why bother teaching students SAS if nobody can afford their annual license fee?
 Spreadsheets works because many people owns MS Office and chances of their
using skills learned in class is greater.

Ken




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Re: Chart of the Week

2002-01-08 Thread Derrick Coetzee

Gary Klass wrote:

 http://lilt.ilstu.edu/gmklass/COW/

As other posters have noted: always beware the obvious implications of 
correlations. A common example is that drownings and ice cream sales are 
strongly correlated.

I think it worth noting that the students who watch more TV (or any of 
them really) are not terribly likely to go to their room and study math 
instead if they were denied that opportunity. But that's just a conjecture.

-Derrick Coetzee



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*Job Posting* SAS Programmer Analyst - CA, Bay Area

2002-01-08 Thread Tom Whiting

Location: San Francisco Area, CA (East Bay)

Successful biotechnology company developing leading-edge products for
the prevention and treatment of infectious diseases and cancer.
Seeking a SAS Programmer/ Analyst to join the Clinical Data Management
team. You will provide SAS programming support in analyzing clinical
trials data and develop SAS software and end-user systems using SAS
and other applications.

Requires BS/MS in computer science, statistics, life science or other
analytical science with a minimum 2 years SAS experience in the
analysis of clinical trial/biomedical data, or 5 years SAS programming
in the analysis of clinical trials data, including expert knowledge of
SAS. Experience developing end-user applications. Familiarity with
Oracle or ClinTrial or SQL Server desirable.

Email resume for immediate consideration, or for further information
please contact:

Tom Whiting
Enterprise Resource Group
San Francisco, CA
(voice) (415) 221-6300
(email) [EMAIL PROTECTED]


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Re: Chart of the Week

2002-01-08 Thread Iyue

Perhaps a bit off topic, but:
I don't think your market research observation is all that true.
Of course, we should all take survey based results carefully.
But (having formerly worked in market research) from what I've
seen, representativeness is an issue those folks are VERY well
aware of and do try to address.  And who are you saying should
be aware?  The consumer (in which case a bad survey wouldn't affect,
except if they stop making Choc. PB based on the survey and your
a Choc. PB lover) or the corporate client of the market 
research firm (well ok, but at worst they're contributing $$
to the economy)?   Which brings up (off topic) an appearant disdain towards 
statistics in commerce, from some real statisticians.  
IMO, more statistician should embrace it and try to 
weasel/attract more true statisticians into business.  Surely, this would
help attract more people into stats and hence more funding and hence,
more  big fat endowed chairs in the Stats dept. at XYZ university and
hence higher salaries for all of us who read sci.stat.xxx!
If I'm just knocking down a straw-man, well, I'm glad I'm wrong.

-Iyue

 

Carl W. [EMAIL PROTECTED] wrote in message 
news:[EMAIL PROTECTED]...
 Gary Klass [EMAIL PROTECTED] wrote in message
 [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
  http://lilt.ilstu.edu/gmklass/COW/
 
 Does this prove that TV makes you bad at math or that if you're bad at math
 you tend to watch more TV?
 
 This is a bit like the fact that market researchers only glean information
 from people who are willing to take part in market research... Consider:
 
 What if a propensity to say 'Yes' to 'Do you want to take part in a survey?'
 would also make you like (say) Chocoloate Peanut Butter more?
 
 Given that a small number of people actually take part in market research,
 The Fictional Peanut Butter Corporation is going to start manufacturing
 Chocolate Peanut Butter based on their survey, and then find no (or not
 many) takers in the 'real world'.
 
 Beware statistics, and more importantly, anything based on market research
 or a survey.
 
 Okay, rant over,
 Carl


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