I feel sorry for your students if what you say is true. They just don't have
much of a future.

In today's marketplace, with the almost unbeleivable whirlwind of Six Sigma
Balck Belt (and related) activity out there in both manufacturing AND
service organizations, anyone who doesn't understand and actively use
statistics is essentially unemployable. Without the ability to make
data-based decisions and the ability to improve processes and solve problems
they will find themselves making business decisions blindfolded.

If you think I'm talking about just a few companies or only technology
companies, here is a who's who in the world of Six Sigma companies (sorry
for the length). Note these include American Express, Amazon.com, GE
Capital, Citigroup - all primarily service companies. Yes, I know many of
these are not doing full blow programs, but the statistical skills are still
recognized, active, and valued.

In these companies it isn't statisticians who are doing the statistics, the
data analyses, and interpreting the data, its the engineers, analysts,
managers, etc. These days the statisticians are too busy teaching and
consulting.

3M
Abacus Technology Corporation
Acuity Brands
Alcoa
Allegheny Technologies
Amazon.com
American Express
Ametek
Arcelik
Asea Brown Boveri
Atlantic Envelope Company
Australian Food Corporation
Avery Dennison
BAE Systems
Bank of America
Baxter Healthcare
BBA Nonwovens
Bendix
Bharat Heavy Electricals
Black & Decker
Boeing
Bombardier
Bosch
Burlington Industries
Canon
Carlson Companies
Caterpiller
Ceridian
Chromalloy
Citigroup
City of Fort Wayne, Indiana
CNH Global
Cognis Corporation
ComauPico
Commonwealth Health Corporation
Compaq Computer Corporation
Control Center, LLC
Cooper Cameron Corporation
Cooper Standard Automotive
Cott Corporation
Crane
CSX
Cummins Engine Company
Cytec-Fiberite Inc.
DaimlerChrysler Corporation
Danaher Corporation
Datacard Corporation
Datastream Systems, Inc.
Dell Computer
Delphi Automotive Systems
Delta Airlines
Digital Electronics
Dow Chemical
DuPont
DuPont Dow Elastomers L.L.C.
Dura Automotive Systems
Dynamic Controls Limited
Eastman Kodak
Eaton Corporation
Eli Lilly and Company
Enginetics Corporation
Ericsson
Fairchild Fasteners
Fasson Canada
First Data Corporation
Flextronics International
Ford Motor Company
Ford Financial
Freudenberg
Galvak
Gates Group, The
Gateway
GenCorp
General Electric
GlaxoSmithKline
Gulf States Paper Corporation
Hellenic Aerospace Industries
Heller Financial Inc.
Hewlett Packard Finance Operations
Hitachi
Home Depot
Honda
Honeywell
Hoover Company
Huntsman Corporation
IBM
IMI Norgren
IMC Global
International Paper
International Truck and Engine Company
Invensys
ITT Industries
Jaguar
JDS Uniphase Corporation
JEA
John Deere
Johnson & Johnson
Johnson Controls
JP Morgan Chase
Kaiser Aluminum
Kodak
Kohler Company
KPMG
Kristeel Shinwa Industries Ltd.
Landis Gardner
Lear Corporation
LG Electronics
Lithonia Lighting
Lockheed Martin
Mabe
Magnetek
Maple Leaf Foods
Marconi
Maytag
McKessonHBOC
Mead
Meridian Automotive Systems
Motorola
Mount Carmel Health System
NCR Corporation
Nokia
Noranda
Northrup Grumman Corporation
NovaStar Mortgage, Inc.
Nylex Polymer Products
Oasis Corporation
Owens Corning
PACCAR
Pacific Scientific
PerkinElmer
Pilkington Libbey-Owens-Ford
Polaroid
Polyclad Technologies
PraxAir
Quest Diagnostics
Raytheon
Rexam Beverage Can Corporation
Riverwood International
Roche Diagnostics
Rohm and Haas Company
RR Donnelley & Sons
Samsung
SAMTEL
Schenectady International
SBS Technologies, Inc.
Seagate Technology
Sear, Roebuck & Company
Service Master
Shimano
Siemens
Solar Turbines Inc.
Solectron Telecommunications
Sonoco
Sony
Space Systems Loral
Starwood Hotels and Resorts
Sun Microsystems
Sunsweet Growers, Inc.
Tata Chemicals Limited
Tata Steel
Temasek Polytechnic
Tenneco Automotive
Texas Instruments
Textron
TIMET
TIMEX
Toshiba
Travel Impressions
Unifi Inc.
Union Pacific Railroad
UOP
Vision Systems Fire & Security
Visteon Corporation
Volvo Trucks
Vulcan Materials Company
Vytra Health Plans
Walbro Engine Management
Wells Fargo
Whirlpool Corporation
Wipro Technologies
Woodward
W.C. Bradley
Xerox Corporation
Zep Chemicals
ZF Lemforder



"Gus Gassmann" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> "A.J. Rossini" wrote:
>
> > >>>>> "k" == kenmlin  <[EMAIL PROTECTED]> writes:
> >
> >     k> Sorry I pissed everyone off.  My argument is more relevant to
> >     k> teaching introductory statistics course to non-stat majors who
> >     k> might not have access to stat packages at their own department
> >     k> or when they leave school.  I felt that teaching Excel is
> >     k> beneficial in a sense that they might actually be able to use
> >     k> what they learned since Excel's more readily available.  I also
> >     k> found that I had next to no time to cover the software while I
> >     k> was teaching intro stat course.
> >
> >     k> I understand that it's very important for many of you to teach
> >     k> stat package because it's what you are familiar with and you
> >     k> have access to it.  (The stat dept I belonged to didn't have
> >     k> the budget for a decent computer lab so I always had to come up
> >     k> with ways to work around with the lack of resources.) I
> >     k> apologize for being practical.  I myself is now a SAS
> >     k> professional but I think differently if I am teaching.
> >
> > There are plenty of reasonable FREE packages, ViSta and R come to
> > mind.
>
> That's all fine and good, but I can see kenmlin's point. Yes, excel is
lousy
> at statistics, yes, their attitude towards errors in the software stinks,
and,
> yes, there are real statistical packages available for students at little
or no
>
> cost. However, in a business school I have absolutely no illusion that any
> of my students will ever be statisticians. They will be consumers of
> statistics,
> and they will occasionally produce simple statistics themselves. I teach
the
> use of minitab in my classes, by I feel that I would be remiss if I didn't
> also teach them how to use excel (and warn them about potential pitfalls),
> since there is no reason to suspect that they will have acess to a
statistical
> package once they are out in the workforce.
>




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