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P.S. Quote for the month: Quit talking the talk and try walking the walk.
Check out the latest issue of our Stat-Teaser newsletter via this link. Shari Kraber shares tips for DOE success she picked up from her consulting colleagues at Stat-Ease. Also, Consultant Wayne Adams sheds light on the repercussions created by partial aliasing. Pay attention!
Newly-released version 9.0.6 of Design-Expert software is posted at this download site for free trial evaluation. To update older licensed versions of 9.0, simply download the update from within the program, or download the full installation and reinstall it. The release primarily provides maintenance of existing features. View the Read Me file for details on this update, installation tips, known ‘bugs,’ change history, and FAQs. P.S. Reminder: If you want to receive notice when an update becomes available, go to Edit on the main menu of your program, select Preferences and, within the default General tab, turn on (if not already on by default) the “Check for updates on program start” option.
“I just attended the Stat-Ease webinar on Split-Plot Pros and Cons. What is the advantage of a split-plot design over just blocking on a factor in a factorial design?” Answer from Webinar Presenter Pat Whitcomb: (Learn more about blocking and split plots by attending the two-day computer-intensive workshop Experiment Design Made Easy. Click on the title for a description of this class and link from this page to the course outline and schedule. Then, if you like, enroll online.)
Question from a Process Development Engineer: Answer from Stat-Ease Consultant Wayne Adams:
The PI narrows as the confirmation sample size (n) increases. As shown in the screen shot, Design-Expert alerts you if the result falls out of bounds by printing it in red.” (Learn more about confirmation by attending the two-day computer-intensive workshop Response Surface Methods for Process Optimization. Click on the title for a complete description. Link from this page to the course outline and schedule. Then, if you like, enroll online.)”
This case study published by Scientific Computing illustrates the effectiveness of multifactor testing for revealing an important interaction. Quantifying the combination of temperature and pH proved to be the key to success for peptide-bond formation, a vital step in production of pharmaceuticals.
(Sorry, due to the high cost of shipping, this offer applies only to residents of the United States and Canada.) Simply reply to this e-mail by October 20th if you’d like a free DOE Simplified book. These are surplus second editions. The third edition, available for sale here, achieved publication this June. However, for those who remain mired in one-factor-at-a-time (OFAT) methodology, even this older edition will be a boon, especially given the price, i.e., zero. Put your name in and when you win give the book to someone you know who could benefit from getting clued in on multifactor DOE.
Click here for a list of upcoming appearances by Stat-Ease professionals. We hope to see you sometime in the near future!
All classes listed below will be held at the Stat-Ease training center in Minneapolis unless otherwise noted. If possible, enroll at least 4 weeks prior to the date so your place can be assured. Also, take advantage of a discount when you register for multiple workshops (or when you register yourself and your colleagues).
*Take both EDME and RSM to earn $400 off the combined tuition!
** Take both MIX and MIX2, or EDME and MIX, to earn $400 off the combined tuition! 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 call Rachel Pollack at 612-746-2030. 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.*** Mark Mark J. Anderson, PE, CQE P.S. Quote for the month—Quit talking the talk and try walking the walk: Trademarks: Stat-Ease, Design-Ease, Design-Expert and Statistics Made Easy are registered trademarks of Stat-Ease, Inc. Acknowledgements to contributors: For breaking news from Stat-Ease go to this Twitter site. DOE FAQ Alert ©2015 Stat-Ease, Inc. |
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