Hi Humberto,
You have given an excellent simplified account of the usefulness of
robust regression and followed it by whole hearted support for Excel uses
in Statistics. It looks like you belong to a delta (in mathematical sense)
group. Anyway, what do you think about the credibility of Excel
David,
I hope, once finished, you will post a detail account of your findings on
EXCEL2000 and Statistics (and suggest better way to use it for statistical
analysis), which will definitely benefit many. Thanks. Siddeek
David Heiser wrote:
> I have started going through McCullough and Wilson's
Happy new year to all.
I frequently use Excel2000 for graphic presentation, spreadsheet maths,
simple nonlinear model fitting (using the Excel solver) with one or two
parameters, and simulations. I thought Excel2000 corrected those errors
found in the analysis tool pack and other in-built comput
Hi Alex,
Can you provide the definition of probability under each way? In other words,
can you explain a little more on each way of defining probability? As it is,
some of them are clear (e.g., Frequentist theory) and others are not clear to
me. Thanks. Siddeek
Alex Yu wrote:
> Probability c
right way. This is because EXCEL is more popular and easy
to use. Cheers. Siddeek
David Heiser wrote:
> - Original Message -
> From: "Shareef Siddeek" <[EMAIL PROTECTED]>
> To: <[EMAIL PROTECTED]>
> Sent: Monday, January 29, 2001 12:53 PM
> Subject: Re:
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 mislea
Dear Stat gurus,
Can someone tell me what is the appropriate stochastic (natural)
mortality model for people. Thanks. Siddeek
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n:Siddeek;Shareef M.
tel;fax:(907) 465-2604 Phone: (907) 465-6107
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p is not a variable, it is a parameter. Cheers. Siddeek
Thomas Souers wrote:
> I have a question regarding basic statistics, and while it might seem
> foolish to some of you, I would greatly appreciate any help:
>
> Suppose a variable can assume two values, success ( 1, probability p ) or
> fai
> Wolfgang,
> Even if we use a binomial prob. value of 0.5 (under null hypothesis), we will
> get 3.5% error at 95% CI. Maybe, they are rounding up to 4%!
>
Cheers
> Siddeek
>
>
> Wolfgang Rolke wrote:
>
> > Today the following polling results were given on cnn.com for the
> > Presidential race
Wolfgang,
Even if we use a binomial prob. value of 0.5 (under null hypothesis), we will
get 3.5% error at 95% CI. Maybe, they are rounding up to 4%!
Siddeek
Wolfgang Rolke wrote:
> Today the following polling results were given on cnn.com for the
> Presidential race:
>
> CNN/USA TODAY/GALLUP POL
In this "code" era one has to memorize frequently used simple formulae (and
codes) to be quick in doing things. Cheers. Siddeek
dennis roberts wrote:
> we memorize definitions of terms don't we? most feel that is helpful ... so,
> same thing applies to many formulas too ... and, if one uses then
In this "code" era one has to memorize frequently used simple formulae (and
codes) to be quick in doing things. Cheers. Siddeek
dennis roberts wrote:
> we memorize defintions of terms don't we? most feel that is helpful ... so,
> same thing applies to many formulas too ... and, if one uses then
There is no point estimate here. Both are interval estimates and the
Sheila King wrote:
> Point estimation, for mu:
>
> Use x bar (sample mean) as estimator for x bar. If the size of the data
> sample is at least thirty, and the population standard deviation is not
> known, use the data sa
For discrete random variable, sum of the heights (probability) over
the sample space equals one. Cheers. Siddeek
Sheila King wrote:
> [cross-posted to sci.stat.edu,sci.stat.math,k12.ed.math]
>
> I'm teaching a GE stat course, my first time teaching stat, and am
> having some points of co
subscribe edstat-l Shareef Siddeek
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