 Webinar Level

 Advanced (5)
 Beginner (14)
 Intermediate (19)
 Managerial (1)
Webinars
StatEase Webinars
StatEase is proud to offer free webinars to those interested in Design of Experiments (DOE). Presented on a regular basis, topics range from beginner to advanced levels. Material may be new or drawn from our everpopular DOE workshops.
See the list of upcoming and past webinars below. If you attended one of our presentations (or just wish you had) we invite you to download a copy of it for your review.
If there is a particular subject you are interested in and don't see below, send us an email and let us know. If there is enough interest, we may present your topic in a future webinar.
Thank you for visiting StatEase. We appreciate your interest!
Webinars
StatEase webinars vary somewhat in length depending on the presenter and the particular session—mainly due to breaks for questions: Plan for 45 minutes to 1.5 hours, with 1 hour being the target median. When developing these onehour educational sessions, our presenters often draw valuable material from StatEase DOE workshops.
Attendance may be limited for these webinar sessions. To sign up for the current webinar, look for the date and time you would like to attend and click on the corresponding link. Contact our Client Specialist, Rachel Pollack, with any questions.
Please note: We recommend you test your computer in advance. Click here for details.
Testimonial:
"Thank you very much for the continuing education opportunities through StatEase's webinar offerings. Brooks did a fine job yesterday presenting RSM Part 2. I've also listened to past webinars presented by other instructors and they also do an excellent job of explaining DOE. Thank you, StatEase!"
—Jeff Reimer, Principal Scientist, SigmaAldrich Corporation

A Factorial Design Planning Process
Level: IntermediateFirst presented on Sep 18, 2007This talk outlines a fourstep process for planning a factorial design. A substantial part of this process is to evaluate the power of the design, which is based on detecting a specific change in the response versus the process variation present in the system. Via a case study, this talk addresses the issue of replicating runs versus repeating the measurement to increase the power of the design.
The webinar is available by clicking on the downloadable file below.
 A Factorial Design Planning Process Size: (595.09 KB)

Sizing Mixture (RSM) Designs for Adequate Precision via Fraction of Design Space (FDS)
Level: AdvancedFirst presented on Nov 28, 2007We begin with a review of power calculations to determine if a factorial design has enough runs to detect effects. Power, however, is not the appropriate tool to evaluate mixture and response surface designs. This presentation shows how to use the fraction of design space (FDS) tool (only in DX7.1+) to properly size these more powerful designs. The use of FDS is also dependent on the experimenter’s design objectives—precision, prediction, or detecting a change. All three objectives are discussed.
The webinar is available by clicking on the downloadable file below.

10 Ways to Mess Up an Experiment & 8 Ways to Clean It Up
Level: BeginnerFirst presented on Feb 5, 2008This basic presentation is intended for actual experimenters and applied statisticians who are looking for practical advice. It's all about design of experiments itself and how to do it more effectively.
Mark Anderson says, "Here's how this presentation came about. After decades in the trenches, primarily working on injectionmolding process improvement, StatEase's client, Jeff Hybarger, established his consultancy and wrote "'The Ten Most Common Designed Experiment Mistakes" as a white paper that documented his DOE 'chops.' StatEase published the article in its StatTeaser newsletter. Design Product News picked it up in their June/July 2007 issue. The Fall Technical Conference of applied statisticians invited Jeff to talk about it. He bowed out due to scheduling conflicts so I edited and presented "The Ten Most Common Designed Experiment Mistakes."
For this webinar I summarized these 10 ways to mess up an experiment and recapped 8 ways to clean them up. This latter part stems from a talk developed by Consultant Shari Kraber with my collaboration. It was originally presented under the title of the "8 keys to DOE.""
The webinar is available by clicking on the downloadable file below.
 10 Ways to Mess Up an Experiment & 8 Ways to Clean It Up Size: (1.9 MB)

Multiple Response Optimization with DesignExpert
Level: IntermediateFirst presented on Apr 1, 2008The optimization module in DesignExpert searches for combinations of factor levels that simultaneously satisfy the requirements placed on each of the responses and factors. Discover how to get the most out of the optimization module in order to find the "sweet spot" for your product or an operating window for your process. Learn how to finetune your search by adding weights and importance settings to your basic criteria. A case study will be used to illustrate all of the features of DesignExpert's optimization module.
The webinar is available by clicking on the downloadable file below.
 Multiple Response Optimization with DesignExpert Size: (5.17 MB)

The Difference Between Repeats and Replicates in DOE
Level: BeginnerFirst presented on May 13, 2008In this presentation examples are used to illustrate the differences between replicates, duplicates, and repeats, as well as the reasons for using each. Costbased decision selection of one versus another are discussed. This is a practical presentation with a dash of technical spice thrown in for flavor.
For a headsup on this tricky issue, consider this advice from consultant Pat Whitcomb for FAQ #1 in the November, 2004 DOE FAQ Alert: "Another question might be can I repeat the measurement rather than replicate the DOE run? The answer is yes, but in this case you enter the average of the repeated measures, not the individual results. Independent measurements will reduce the measurement system component of the total process variation... Only with knowledge of the variance components and the costs of replicating the DOE run and/or repeating the measure can one decide which is the best option." (See http://www.statease.com/news/faqalert411.html for Pat's complete answer, including a sample calculation on variance components. Wayne's webinar addresses this and much more.)
Data files and PowerPoint presentation can be downloaded as the WinZip archive: 08MayWebinar.zip
The webinar is available by clicking on the downloadable file below.
 The Difference Between Repeats and Replicates in DOE Size: (770.54 KB)

Dual Response Surface Methods (RSM) to Make Processes More Robust
Level: IntermediateFirst presented on Jul 1, 2008Response surface methods (RSM) provide statisticallyvalidated predictive models, sometimes referred to as "transfer functions," that can then be manipulated for finding optimal process configurations. The dual response approach to RSM captures both the average and standard deviation of the output(s) and simultaneously optimizes for the desired level at minimal variation, thus achieving an ontarget, robust process. With inspiration provided by a case study on a semiconductor etching process, the positive repercussions of these methods will be readily apparent, especially for those involved in design for six sigma (DFSS) quality programs.
The webinar is available by clicking on the downloadable file below.

PatTricks on Model Diagnostics "What are They? Why Use Them? What Good Do They Do?
Level: IntermediateFirst presented on Aug 12, 2008In this webinar Pat Whitcomb (Consultant) will offer up his "Best PatTricks on Model Diagnostics (What are they? Why use them? What good do they do?)." These questions were answered while examining the diagnostics for a series of DOE case studies. Download a ZIP file of the DesignExpert data files mentioned in the webinar here (pat_tricks_data.exe, 126 KB). For your reference, also take a look at the "Diagnostics Report—Formulas & Definitions" (click here to download, 48 KB) and the "Residual Analysis and Diagnostics Plots Guide" (click here to download,122 KB).
The webinar is available by clicking on the downloadable file below.

How to Plan and Analyze a Verification DOE
Level: IntermediateFirst presented on Dec 28, 2008Applications of DOE during Verification Stage
Companies are gradually learning that design of experiments (DOE) can be a useful tool during the final verification stage of a product or process. Rather than just testing the extremes one factor at a time, a DOE can cover the expected range of production variation and confirm that the final production conditions will make product within specification. The underlying difficulty in this application is that the desired DOE result is to have NO significant effects. This talk demonstrates how to confirm that the DOE chosen has the correct power to detect effects IF they exist. The design must be capable of doing the job. After collecting data a variety of potential results to estimate power are presented on halfnormal plots. The interpretation of each plot will be discussed.
The webinar is available by clicking on the downloadable file below.
 How to Plan and Analyze a Verification DOE Size: (718.08 KB)

An Introduction to Mixture Design for Optimal Formulations
Level: BeginnerFirst presented on Jan 20, 2009This webinar is aimed at product formulators who at best may be using standard factorial designs, or worse yet, the onevariableatatime method. Keeping it simple and making it fun, Mark Anderson introduces tools of multicomponent mixture design, modeling and statistical analysis. The goal is to generate interest in these powerful DOE methods for quickly converging on the sweet spot—where all desired product attributes are achieved.
The webinar is available by clicking on the downloadable file below.
 An Introduction to Mixture Design for Optimal Formulations Size: (1.37 MB)

DOE—What's In It for Me
Level: ManagerialFirst presented on May 27, 2009This webinar is aimed at those who are unclear or need convincing on how design of experiments (DOE) harnesses the power of matrixbased multifactor testing. Wayne Adams discusses and demonstrates the clear advantages of DOE over the oldfashioned onefactoratatime (OFAT) method. Learn how the interactions that DOE reveals are the key to big success!
The webinar is available by clicking on the downloadable file below.
 DOE—What's In It for Me Size: (475.16 KB)

Problems Analyzing Historical Data
Level: IntermediateFirst presented on Sep 15, 2009Explore the pitfalls and treacherous territory of analyzing historical data. See the damage that collinearity, nonsense correlations, feedback loops, and other data problems can do to your analysis. This is why we recommend that you do welldesigned experiments!
The webinar is available by clicking on the downloadable file below.
 Problems Analyzing Historical Data Size: (658.84 KB)

DOE Made Easy and More Powerful via Version 8 of DesignExpert® Software, Part 2—Response Surface Methods (RSM) for Process Optimization
Level: AdvancedFirst presented on Sep 20, 2010Through a series of three webinars, StatEase introduces an array of statistical methods for design of experiments (DOE) made easy and more powerful via version 8 of DesignExpert software. This second webinar looks at response surface methods (RSM) for process optimization through a series of case studies.
The webinar is available by clicking on the downloadable file below.

DOE Made Easy and More Powerful via Version 8 of DesignExpert® Software
Level: IntermediateFirst presented on Sep 20, 2010Through a series of three webinars, StatEase introduces an array of statistical methods for design of experiments (DOE) made easy and more powerful via version 8 of DesignExpert software. This first webinar highlights key features from simple to sublime, culminating in the design and analysis of a highlevel factorial casestudy.
The webinar is available by clicking on the downloadable file below.

DOE Made Easy and More Powerful via DesignExpert® Software, Part 3—Multicomponent Mixture Design for Optimal Formulation
Level: AdvancedFirst presented on Jan 26, 2011Through a series of three webinars, StatEase introduces an array of statistical methods for design of experiments (DOE) made easy and more powerful via version 8 of DesignExpert software. In this third webinar Mark Anderson works through mixture case studies.
The webinar is available by clicking on the downloadable file below.

How to Get Started with DOE
Level: BeginnerFirst presented on Jun 21, 2011StatEase Consultant Brooks Henderson incorporated his WhirleyPop DOE and some tips from the past webinars into this presentation. If you are new to DOE, this webinar is for you!
The webinar is available by clicking on the downloadable file below.
 How to get started with DOE 20112 (pdf) Size: (842.02 KB)