🚀 go-pugleaf

	In article <4a4rqm$l70@hecate.umd.edu>,
			Rod Martens <martens@eng.umd.edu> wrote:

> Greetings,
> Can anyone recommend relatively inexpensive statistical software packages
> for windows?  (I'm on a student's budget.)
> Thanks for the help,
> Rod Martens.


	and Jon Sykes <js3150@cnsvax.albany.edu> wrote:


> I was wondering if anyone who reads this group could recommend or lead me 
> to a cheap, but efficient shareware statistics program.  I need it for my 
> geographical spatial analysis class and it should be able to calculate 
> z-scores, t-scores, p-values as well as the usual variance, skew, 
> deviance, etc.


	There's a package called MacAnova (which I mentioned in a post
yesterday) which is freeware and does this sort of thing, and was announced
on this newsgroup by its authors a little over a year ago.  You can get it
by anonymous ftp from umnstat.stat.umn.edu in the pub/macanova directory
(at least if what the announcement said is still accurate now).

	Gary Oehlert and Christopher Bingham, who created it, posted this:

> We like MacAnova because:
>   1)  It's free, we can give it to students to use at home or their labs
>       on Macintoshes or IBM compatibles.
>   2)  It's reasonably small yet still does what we need it to do for class.
>   3)  It's extensible via macros.
>   4)  It's reasonably fast.
>   5)  Students can get up and running for simple things with only a few
>       commands.
>   6)  It works well with libraries of named data sets and macros.
>   7)  It is flexible enough and powerful enough to use for research level
>        statistical computing
> 
> The most frequent complaints about MacAnova:
>   1)  It's not (choose one of SAS, SPSS, SYSTAT, MINITAB, DATADESK, JMP, ... )
>       or some other commercial program used in the real world.
>   2)  Even the Mac version is not really menu driven and thus, to steal a
>       phrase, MacAnova may be said to be user-polite, though perhaps not
>       user-friendly.


	and said a lot of other things about it . . . .



	Mike Hardy

Michael Hardy
School of Statistics
University of Minnesota
hardy@stat.umn.edu