Custom Design of Experiments using JMP Software: No Pain. Just Gain.

Featured Speaker: Christopher Nachtsheim Chair of Operations and Management Sciences, Carlson School of Management, University of Minnesota Date: Wednesday, June 14, 2006 Time: 8:00am - 1:00pm (Lunch included) Session: "Getting Started with JMP® 6," 1:00 - 4:00pm Cost: FREE Location: Courtyard Minneapolis Downtown at The Depot 225 South 3rd Avenue, Minneapolis, MN 55401, 612.375.1700 NOTE: Limited number of rooms are being held at rate of $149 until May 19. Reference 14JUN06 JMP Seminar when making reservation.

Attendees receive a free copy of Dr. Nachtsheim's book, Applied Linear Statistical Models ($150 value)

Who Should Attend?

• Do you find that designs from a textbook don't quite match your experimental requirements?
• Do you ever have dozens of factors to screen?
• Do you ever need to run mixture experiments while also changing process variables?
• Do you ever want to do response surface experiments with categorical factors?
• Do you sometimes find that a completely randomized design is too hard or too expensive?
• Would you like to know how to keep process drift from damaging your experimental results?
• Would you rather specify the number of runs you can do instead of having the sample size dictated to you?
• Would you like to be able to augment a design without doubling the number of runs you have already done?
• Would you like to have complete control over the model you can fit to your data?

Dr. Chris Nachtsheim presents a modern approach to designing experiments that makes DOE simpler, cheaper and even more powerful than textbook methods. Bradley Jones, the designer of the DOE capability for the newly released JMP 6, demonstrates how JMP supports experimental design and analysis.

Agenda*

Time	Event
8:00 am	Registration and Continental Breakfast	Register
8:30 am	Introduction to JMP
9:00 am	Designing Experiments with JMP Christopher Nachtsheim, University of Minnesota Bradley Jones, JMP
Noon	Lunch
1:00 pm	Using JMP 6 to Get from Data to Discovery
4:00 pm	Adjourn

* Agenda subject to change without notice.

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