Issue: 
            Volume 3, Number 7
            Date: July 
            2003
            From: 
            Mark J. Anderson, Stat-Ease, 
            Inc. (www.statease.com)
            
          Dear Experimenter,
          Here's another set of 
            frequently asked questions (FAQs) about doing design of experiments 
            (DOE), plus alerts to timely information and free software updates. 
            If you missed previous DOE FAQ Alerts, please click on the links at 
            the bottom of this page. 
            Feel free to forward this newsletter to your colleagues. They can 
            subscribe by going to http://www.statease.com/doealertreg.html. 
            If this newsletter prompts you ask to your own questions about DOE, 
            please address them to stathelp@statease.com.
          Here are some good-old summertime appetizers to 
            get this Alert off to a good start:
            
            1. Click http://makeashorterlink.com/?N1AE53405 
            to see an unusual way to make ice cream suggested by Theodore Gray, 
            a co-founder of Wolfram Research, who publishes Mathematica software.
            2. If you decide to buy a cone instead and end up juggling change 
            while trying to keep the ice cream from melting, consider how different 
            denominations could save on coins:
            18 cents for USA
            83 cents for Canada
            1.33 or 1.37 Euros for Europe
            Believe it or not, these would be optimal according to an article 
            at http://www.sciencenews.org/20030510/mathtrek.asp.
            3. Flash! See http://www.msnbc.com/news/931938.asp#BODY 
            (page no longer available) for startling news on lightning jets!
          Here's what I cover in the body text of this DOE 
            FAQ Alert (topics that delve into statistical detail are designated 
            "Expert"):
            
            1. FAQ: Graphing two responses 
            to view correlation
            2. Expert-FAQ: Why do replicated 
            center-points in a central composite design (CCD) for response surface 
            methods (RSM)?
            3. Heads-up: Scary e-mails with 
            a scientific flavor -- Read all about a typical one on the perils 
            of plastic, but do not pass it on!
            4. Events alert: Stat-Ease is 
            exhibiting and hosting a roundtable discussion at the Joint Statistical 
            Meetings in San Francisco
            5. Workshop alert: We are coming 
            to San Jose later next month, Philadelphia in September, plus much 
            more 
            
            PS. Quote for the montha 
            more concise view from a Mars rocket scientist on "known unknowns", 
            etc. (followup to last month's quote from Rumsfeld)
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          1. FAQ: Graphing two responses to view 
            correlation
          -----Original Question-----
            From: Singapore
            "Recently I bought Design-Expert® software. It is working 
            well and caters to my needs. Presently, the software allows me to 
            study interactions between the different factors for a specific response. 
            I wonder if there is any way to view relationships between the different 
            responses."
          Answer (from Stat-Ease 
            consultant Pat Whitcomb):
            "When you are on the Design layout (the spreadsheet-like view) 
            in Design-Expert (or Design-Ease® software) go to the main menu 
            and choose View, Graph Columns. You can plot any two columns from 
            your experimental matrix, including a pair of responses, against each 
            other. Look for correlations."
          P.S. The software reports the statistic "r"a 
            measure of correlation that varies from -1 (inverse relationship) 
            to +1 (directly related). When "r" is zero, the two columns 
            plotted are said to be "uncorrelated." This occurs when 
            you perform standard two-level designs, or those laid out "orthogonally" 
            via Taguchi.
          Mark
          (Learn more about basic statistics and two-level 
            designs by attending the 3-day computer-intensive workshop "Experiment 
            Design Made Easy." See http://www.statease.com/clasedme.html 
            for a complete description. Link from this page to the course outline 
            and schedule. Then, if you like, enroll online.) 
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
           2. FAQ: Why 
            do replicated center-points in a central composite design (CCD) for 
            response surface methods (optimization)?
          
          -----Original Question-----
            From: Alabama
            "When I set up a central composite design (CCD) for response 
            surface methods (RSM), the software requested I run the center-point 
            many times. Why should I do that? Would it be OK just to re-test the 
            product, or do I have to re-make it?"
          
          Answer:
            The CCD you requested from Design-Expert 
            calls for 6 center-points intended to be run at random intervals with 
            fabrication done from start to finish, not just re-sampled and/or 
            re-tested. The book that Pat and I co-authored, "DOE Simplified" 
            (see http://www.statease.com/doe_simp.html), 
            provides an example of CCD (in Chapter 8) on confetti that I cut to 
            varying dimensions before measuring flight time. In this case, I re-cut 
            the confetti for each replicate of the center-points, the number of 
            which is specified by statisticians to give a good balance of information 
            in the middle of the space versus the outer regions. In a related 
            study, Box and Liu ("Product Design with Response Surface Methods," 
            Center for Quality and Productivity Improvement, Report No. 150, May 
            1998 at http://www.engr.wisc.edu/centers/cqpi/), 
            cut paper helicopters but then re-dropped them many times. These repeated 
            measures (not true replication of a run) then were averaged and this 
            value entered as a response. Furthermore, Box and Liu computed the 
            standard deviation and entered this as a second response to determine 
            if some configurations proved to be more variable than othersan 
            issue related to stable vs. unstable aircraft design.
          For more details, see a write-up by fellow Stat-Ease 
            consultant Pat Whitcomb in the June 1998 Stat-Teaser entitled "Center-Points 
            in Central Composite Design" at http://www.statease.com/news/news9806.pdf.
          P.S. Another Stat-Ease consultant, Shari Kraber, 
            commented:
            "Replication of center-points provides these advantages:
            Reduces the prediction error in the presumed optimum of the 
            design space. (It's assumed that the CCD will be centered on the 'optimum', 
            so you want the best prediction capability there.)
            Provides pure error, used for the lack-of-fit (LOF) test. Simply 
            re-testing the product underestimates the pure error, making the LOF 
            test inaccurate and therefore worthless."
          (Learn more about RSM designs by attending 
            the "Response Surface Methods for Process Optimization" 
            workshop. For a description, see http://www.statease.com/clas_rsm.html. 
            Link from this page to the course outline and schedule. You can enroll 
            online by linking to the Stat-Ease e-commerce page for workshops.)
          
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          3. Heads-up: Scary e-mails with scientific 
            flavor -- Read all about typical one on perils of plastic, but do 
            not pass it on!
          
          -----Original Question-----
            From: Non-scientific person
            "I just received an e-mail that worries 
            me very much. It says that plastic wrap causes cancer. Can you find 
            out if this is true?"
          
          Answer (from Stat-Ease 
            consultant Pat Whitcomb):
            My colleague Tryg helped me track down a 
            web site that reproduces the widely-circulated letter with the supposed 
            studies showing carcinogenic properties of plastic wrap and the rebuttal. 
            See it for yourself at http://urbanlegends.about.com/library/bl-microwave-dioxin.htm. 
            Go back to the main site to clarify the truth (if any) behind other 
            Internet-spread rumors which seem to run rampant all over the globe.
          Here's my first response to the question, before 
            Tryg found the specific answer:
            "It would take a lot of digging to follow-up on all the issues 
            brought up by this inflammatory e-mail. I'd be very surprised if there's 
            anything to it. Generally these things start with enough elements 
            of truth to sound plausible but from there they play on fears in an 
            unscrupulous way.
          It boils down to this: Do not believe anything 
            you read that's not reviewed by peers, such as technical articles 
            in reputable scientific journals. Even reputable scientists may publish 
            results that later prove to be erroneous, so (in my opinion!) it pays 
            to be skeptical at all times about everything."
          I received this reply from the inquirer:
            "Thank you! I didn't forward it along and I'm glad now."
          In my opinion, anything you people reading 
            this newsletter can do to quell rumors like this would be a service 
            to humankind. Mark
          
          
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          4. 
            Events alert: Stat-Ease exhibiting and hosting roundtable discussion 
            at Joint Statistical Meetings in San Francisco
          
          Second notice:
            See http://www.amstat.org/meetings/jsm/2003/ 
            for details on this year's Joint Statistical Meetings (JSM) on August 
            3-7, 2003 in San Francisco, California. JSM is the largest gathering 
            of statisticians held in North America. It is sponsored by the American 
            Statistical Association (ASA), the International Biometric Society 
            (ENAR and WNAR), the Institute of Mathematical Statistics, and the 
            Statistical Society of Canada. Activities include "oral presentations, 
            panel sessions, poster presentations, continuing education courses 
            and an exhibit hall with state-of-the-art statistical products" 
            (such as Design-Expert software at booth 
            205!). A Stat-Ease consultant will lead roundtable Session 
            140 over lunch on Monday 12:30 PM, sponsored by the Section on Quality 
            & Productivity. The topic is "Practical versus Statistical 
            Aspects of Altering Central Composite Designs." See http://makeashorterlink.com/?Z336269C4 
            for more details. It will be interesting to share knowledge with expert 
            practitioners of response surface methods (RSM).
          Click http://www.statease.com/events.html 
            for a list of where Stat-Ease consultants will be giving talks and 
            doing DOE demos. We hope to see you sometime in the near future!
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          5. Workshop alert: Coming 
            to San Jose later next month, Philadelphia class in September, plus 
            much more
          
          Second notice:
            I am slated to teach the August 5-7 Experiment Design Made Easy (EDME) 
            workshop in San Jose, California. I hope to see a good turn-out of 
            students from the Far West and elsewhere. Mark
          For you East Coasters we offer Experiment 
            Design Made Easy on September 9-11 in Philadelphia, PA. For other 
            workshops and other locations (mainly at our home training site in 
            Minneapolis), see http://www.statease.com/clas_pub.html 
            for a schedule. To enroll, click the "register online" link 
            on our web site or call Stat-Ease at 1.612.378.9449. 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. Call us to get a quote.
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          I hope you learned something from this issue. 
            Address your general questions and comments to me at:
          mark@statease.com
          Sincerely,
          Mark
          Mark J. Anderson, PE, CQE
            Principal, Stat-Ease, Inc. (http://www.statease.com)
            Minneapolis, Minnesota USA
          PS. Quote for the 
            montha more concise view from a Mars rocket scientist 
            on "known unknowns", etc. (followup to last month's quote 
            from Rumsfeld):
            
            "We want to research 
            what we call the 'known unknowns.' This will reduce total risk in 
            the face of unknown unknowns, the true surprises out there."
          John Charles, 
            senior staff scientist at NASA's Space and Life Sciences Directorate, 
            speaking about a possible voyage by humans to Mars
          
          Trademarks: Design-Ease, Design-Expert and Stat-Ease 
            are registered trademarks of Stat-Ease, Inc.
          Acknowledgements to contributors:
            
            Students of Stat-Ease training and users of Stat-Ease software
            Fellow Stat-Ease consultants Pat Whitcomb and Shari Kraber (see 
            http://www.statease.com/consult.html for 
            resumes)
            Statistical advisor to Stat-Ease: Dr. Gary Oehlert (http://www.statease.com/garyoehl.html)
            Stat-Ease programmers, especially Tryg Helseth (http://www.statease.com/pgmstaff.html)
            Heidi Hansel, Stat-Ease marketing director, and all the remaining 
            staff
          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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