back in 1992, i had two little books published by kendall/hunt ...
1. MINITAB: An Introduction
2. MINITAB: An Introduction for Business
this was back when release 8 was around and commands were the thing of the day
table of contents looked liked (for #1):
1. overview to minitab
2.
On Sun, 28 Jan 2001 13:57:02 -0500, "K. Bloom" [EMAIL PROTECTED]
wrote:
I just ran some data through a simple one way polynomial analysis in spss.
I had 3 groups and very unequal n's. By hand, I calculated the contrast
estimates for both the linear and quadratic trends using the unweighted
On Mon, 29 Jan 2001 06:28:23 GMT, "Chris" [EMAIL PROTECTED]
wrote:
snip
Assuming a normal distribution, what method should I use to calculate my
averages? Should I simply take the sample mean?
- I think your problem is that you *don't* want to assume a normal
distribution. For
The absolute best advice concerning the use of Excel for
graphics (or for statistics for that matter) is: DON'T!
The _majority_ of graph-types available in Excel should never
be used for any purpose as they produce misleading graphs -- mainly
false third dimensions that can only serve to hide
in an article ... that some might be able to access ...
http://bmj.com/cgi/content/full/322/7280/226
by
Jonathan A C Sterne, senior lecturer in medical statistics, George Davey
Smith, professor of clinical epidemiology.
Department of Social Medicine, University of Bristol, Bristol BS8 2PR
Magill, Brett wrote:
Just a practical problem that I have run into here. I have a large data set
where every case (row) represents a person. Each person belongs to a
metropolitan area. I want to aggregate some of the individual results into
metro area statistics. Should be easy... but
Hello to all.
Recently I needed to compute the Gini coefficient in SPSS. When I found,
that there is no possibility to get it via DESCRIPTIVES or FREQ procedure I
tried to write a macro which would compute it for me.
Unfortunately I don't have much experience in macro writing, I don't know
how
Jon,
The absolute best advice concerning the use of Excel for
graphics (or for statistics for that matter) is: DON'T!
The _majority_ of graph-types available in Excel should never
be used for any purpose as they produce misleading graphs -- mainly
false third dimensions that can only serve
I haven't used the Gini coefficient in the last 25 years, so I can't give more
complete advice. However, from your description, you can can get such a sum
without a macro by
RANK VARIABLE= income (d) /rank into r_income.
* to get the rank for each case.
WEIGHT BY r_income.
* to turn on
I'm posting this message on behalf of my friend.
Any help would be greatly appreciated.
-- Forwarded message --
Date: Fri, 26 Jan 2001 04:15:49 -0800
From: Renita Glaser [EMAIL PROTECTED]
Subject: t critical: beta (Power ala David Murray)
I am doing a power analysis using
Then, what is the use of EXCEL?
Siddeek
Jon Cryer wrote:
The absolute best advice concerning the use of Excel for
graphics (or for statistics for that matter) is: DON'T!
The _majority_ of graph-types available in Excel should never
be used for any purpose as they produce misleading
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One should note that this comment was taken from an article critical of
significance testing. I understand Sterne and Smith's comment to
if you can use excel to do what you need doing and, it does not lead to any
serious (tweaking?) complications fine
but, what happens if you want one of your colleagues to do something a
little different ... like make a x,y plot ... where you have both male and
female data points
let's see ... say you have two overlapping distributions ... on the left,
the null distribution ... and on the right, the assumed to be true sampling
distribution ...
now, in setting up the power problem ... you have to set alpha ... say that
is a two tailed .05 test ... and really the upper
i think, if i might be allowed to speak for jon, he would say that it
is a good SPREADSHEET package ... that was what it was designed for ...
add ons to make it also a statistical package ... are a different matter
it is sort of like having ms word ... where it has this add on feature of
i see two places in the sterne and smith article, which is in my hand ...
that say hat p is an indication of the p of the null not being true ... or
evidence against the null
on page 2 of 10 ... they list summary points and, the one i quoted before
... p values, or significance levels ..
Another package that produces nice plain charts in Excel is XLStatistics. A free
version can be downloaded from
http://www.man.deakin.edu.au/rodneyc/xlstats.htm
Rodney
~~
Rodney Carr
School of Management Information Systems
Deakin University
PO Box
Those specific papers referred to in an earlier discussion have addressed
errors in Statistics and other add-in (e.g., Solver) calculations in
EXCEL. If I remember correct, the errors occur from the 7 th decimal
place and may aggravate if repeated calculations (as in simulations) are
made. I do
Statistical Quality Control,Grant Leavnworth 7th edition
For sale on eBay see item 1407155701
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