Dear Experimenter,
Here’s a fresh set of answers to frequently asked questions (FAQs) about design of experiments (DOE); plus timely alerts for events, publications and software updates. Check it out!
- Mark
Blogs
My wry look at all things statistical and/or scientific with an engineering perspective. Also, see the Stat-Ease blog for tips on making DOE easy. For example, a recent posting provides “Greg's DOE Adventure: Important Statistical Concepts behind DOE”. Check it out! 
Alerts
Topics in the body text of this DOE FAQ Alert are headlined below (the “Expert” ones, if any, delve into statistical details):
  1. Events alert: 2019 Analytics Solutions Conference coming soon (June 18-20)—Last chance to get in on this unusual opportunity to network on DOE and charge up your know-how.
  2. Website Alert: New look!
  3. FAQ: Can Design-Expert temporarily ignore a suspected outlier so I can see what happens without it?
  4. Workshop alert: See when and where to learn about DOE—Sign up now before classes fill.
P.S. Quote for the month: Look before you leap to conclusions!
(Page down to the end of this e-zine to enjoy the actual quote.)
Events alert:
2019 Analytics Solutions Conference - Last Chance
Last chance to get in on this unusual opportunity to network on DOE and charge up your know-how.

Advance your career with data-driven tools from R&D to production presented at the (Premier!) Analytics Solutions Conference in Minneapolis on June 18-20. See the outstanding lineup of keynote speakers and register here. Do not overlook the unique opportunity to enroll in one of the highly informative, preconference short courses.
Website Alert: New look!
Our homepage www.statease.com is now updated with a much cleaner look with eye-catching carousels and other interactive features. We expect you will find it even more easy to navigate than before and far more attractive. Please look it over and then get back to me with your feedback so we can further improve its functionality. - Mark
FAQ:
Can Design-Expert temporarily ignore a suspected outlier so I can see what happens without it?
Original question from a Technology Development Manager:
“If I highlight certain rows and select 'ignore', then will they not be considered in the model? I want to ignore the outlier for the moment and then reevaluate those runs.”

Answer:

Design-Expert® software makes it easy to take out suspect-runs temporarily to see how this affects modeling of responses. As displayed below*, simply mouse over the column of buttons to the left of the run and right click to bring up the menu allowing you to Set Row Status to Ignore.

 
     Ignoring a row

As you can see, rows can be returned to normal if they turn out to be worth keeping after all. You can also highlight runs so they become more visible in diagnostic and other graphs. Furthermore, runs can be set aside from modeling but remain on all graphs for verification purposes.

P.S. If you only want to ignore an individual response, for example, one suspected to be badly measured, but not the entire run, do so by right-clicking over the specific value.

*Taken from the “One-Factor (pt 2)—Bowling (augmented)” tutorial accessible via Help in Design-Expert.

(Learn more about detecting and handling outliers by attending the three-day computer-intensive workshop on Modern DOE for Process Optimization. Click the title for a description of this class and registration details.)
 
Workshop alert:
See when and where to learn about DOE—Sign up now before classes fill.
You can do no better for quickly advancing your DOE skills than attending a Stat-Ease workshop. Our expert instructors provide you with a lively and extremely informative series of lectures interspersed by valuable hands-on exercises. Enroll at least 6 weeks prior to the date so your place can be assured—plus get a 10% “early-bird” discount.

Experiment Design Made Easy (EDME)
July 16-17, Minneapolis, MN
October 15-16, Cleveland, OH
Modern DOE for Process Optimization (MDOE)
July 16-18, Minneapolis, MN
October 15-17, Cleveland, OH
Mixture and Combined Designs for Optimal Formulations (MIXC)
August 13-15, Minneapolis, MN
October 22-24, Edison, NJ

See this web page for complete schedule and site information on all Stat-Ease workshops open to the public. To enroll, scroll down to the workshop of your choice and click on it, or email our Lead Client Specialist Rachel Pollack at workshops@statease.com. If spots remain available, bring along several colleagues and take advantage of quantity discounts in tuition. Or, consider bringing in an expert from Stat-Ease to teach a private class at your site.*

*Once you achieve a critical mass of about 6 students, it becomes very economical to sponsor an on-site workshop, which is most convenient and effective for your staff. For a quote, email workshops@statease.com.
I hope you learned something from this issue. Address your general questions and comments to me at: mark@statease.com.

PLEASE DO NOT SEND ME REQUESTS TO SUBSCRIBE OR UNSUBSCRIBE—
FOLLOW THE INSTRUCTIONS AT THE END OF THIS MESSAGE.

Sincerely,
   Mark

Mark J. Anderson, PE, CQE
Principal, Stat-Ease, Inc.
1300 Godward St NE
Minneapolis, Minnesota 55413 USA
P.S. Quote for the month: Look before you leap to conclusions!
“It is wrong always, everywhere, and for anyone, to believe anything upon insufficient evidence.”
  - William Kingdon Clifford, British mathematician and philosopher.
Trademarks: Stat-Ease, Design-Expert and Statistics Made Easy are registered trademarks of Stat-Ease, Inc.

Acknowledgements to contributors:
  • Students of Stat-Ease training and users of Stat-Ease software
  • Stat-Ease consultants: Pat Whitcomb, Martin Bezener, and Shari Kraber
  • Stat-Ease programmers: Hank Anderson, Joe Carriere, and Mike Brownson
  • Stat-Ease business staff—Cathy Hickman, Greg Campbell, and Rachel Pollack—who provide such supreme support!
Circulation: Over 7000 worldwide
Subscribe
Copyright © *|CURRENT_YEAR|* *|LIST:COMPANY|*, All rights reserved.
*|IFNOT:ARCHIVE_PAGE|* *|LIST:DESCRIPTION|*

Our mailing address is:
*|HTML:LIST_ADDRESS_HTML|* *|END:IF|*

Want to change how you receive these emails?
You can update your preferences or unsubscribe from this list.

*|IF:REWARDS|* *|HTML:REWARDS|* *|END:IF|*