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Greetings!
<p>I am a statistician with a semiconductor manufacturing organization.
I recently performed an evaluation between JMP3.2, JMP4, and Minitab13.
<p>I don't want to get flamed from the newsgroup(nor my company;-) for
too much detail from that evaluation, but I'll try to cover some salient,
general points: JMP4 and Minitab13 both have significant technical advantages
over JMP3.2. IMHO, there is not much technical advantage of either
JMP4 or Minitab13 over one another. JMP4 has some overall advantages
(e.g. function-rich calculator for making new variables easily, nonlinear
fit) and Minitab13 has some overall advantages (e.g. Project Manager, the
Stat Guide, AIAG-compliant capability and gauge R&R). Again,
IMHO, for an undergraduate class on Quality Control, either could do the
job, but the nod might go to Minitab.
<p>Minitab can be significantly cheaper to license than JMP, depending
upon your circumstances and negotiating skill...but if you're used to JMP,
you'll have some learning to do. There's quite a difference between
JMP3.2 and JMP4, for that matter.
<p>Just for the record, my customers love JMP. We won't be switching.
<p>Kevin
<br>
<p>"Dusseau, Steve" wrote:
<blockquote TYPE=CITE> <span class=910425320-01092000><font face="Arial"><font
size=-1>I
am teaching an undergraduate quality control class (pareto, SPC, etc.)
and am looking for some advice on which stat package to use. I have
used JMP from SAS the past two years, but wonder about the pros and cons
when compared to Minitab. The package of choice would also be used
for an undergraduate to DOE course. Any
opinions?</font></font></span></blockquote>
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