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Webinars

Stat-Ease Webinars

Stat-Ease 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 ever-popular 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 e-mail and let us know. If there is enough interest, we may present your topic in a future webinar.

Thank you for visiting Stat-Ease. We appreciate your interest!



Webinars

Stat-Ease 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 one-hour educational sessions, our presenters often draw valuable material from Stat-Ease 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 Stat-Ease'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, Stat-Ease!"
—Jeff Reimer, Principal Scientist, Sigma-Aldrich Corporation

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  1. DOE Made Easy, Yet Powerful, with Design-Expert® Software, V11

    Level: Beginner
    First presented on Sep 10, 2018

    In this beginner-level ‘demo-nar’ (demonstration webinar) of Design-Expert v11, Mark Anderson will feature factorials—the core tool for DOE, followed by a peek at response surface methods (RSM). Via several inspiring case studies, see how you can quickly converge on the ‘sweet spot’—the most desirable combination of process parameters and product attributes.

    This webinar was presented by Mark Anderson

    YouTube View the webinar here

  2. Putting DOE to Good Use for Developing Active Pharmaceutical Ingredients (APIs)

    Level: Beginner
    First presented on May 21, 2018

    This case-study driven webinar is a must for all who experiment on APIs. Learn how to apply statistically valid, multifactor and multicomponent testing strategies that catalyze your development work. The webinar will cover a wide range of API-appropriate design of experiments (DOE): factorial screening and characterization, response surface methods (RSM) for process optimization, mixture designs for optimal formulation, and combined designs such as mixture-process. Whether you use Design-Expert® software (DX) or not, you will benefit by learning about the basic DOE principles. But if you do use DX and remain on v10 or earlier versions, an added advantage for attending will be to see how v11 makes it all far easier.

    Putting DOE to Good Use for Developing Active Pharmaceutical Ingredients (API)s View the webinar here.

  3. The Magnificent Seven in DX11

    Level: Beginner
    First presented on Feb 20, 2018

    In this webinar, Shari Kraber welcomes you to version 11 of Design-Expert software (DX11). She presents her favorite new features and provides a heads-up on what's in it for you. Enjoy an enlightening demonstration of DX11's overhauled interface and the fabulous new capabilities that come with it.

    The Magnificent Seven in DX11View the webinar here 

  4. Formulation Simplified: Finding the Sweet Spot via Design and Analysis of Experiments with Mixtures

    Level: Beginner
    First presented on Oct 10, 2017

    In this webinar, Mark Anderson introduces tools for multi-component product development and optimization. He briefs formulators on tailored tools that hone in on optimal recipes. The webinar begins with a compelling case on the mismatch of factorial design and response surface methods to mixture DOE. Then, via real-world examples, he lays out more appropriate designs and models for mixtures that ultimately lead to the “sweet spot”—a formulation meeting all product specifications.

    Market Profile Made Easy With TPO & CTV!

    YouTube icon View the webinar here

  5. Graphical Selection of Factorial Effects: What’s In It for You

    Level: Beginner
    First presented on Jan 31, 2017

    By way of a variety of case studies, this webinar by Mark Anderson on design of experiments (DOE) provides insights into graphical approaches—half-normal and Pareto plots—that assess effects at a glance—a huge advantage for experimenters who get overwhelmed by esoteric statistical reports.  It details an impressive number of enhancements incorporated in Design-Expert® and Design-Ease® software to:

    • deploy these graphical tools over a broad array of factorial designs (including multilevel categoric and split plot),
    • make them more robust to missing data and non-orthogonal levels, and
    • provide interactive layouts that lead to good decisions on sorting out the vital few effects from the trivial many.

    See how Stat-Ease makes selection of factor effects easy for its users.

    YouTube icon View the webinar here

  6. What's New and Exciting in v10 of Design-Expert Software

    Level: Beginner
    First presented on Apr 18, 2016

    In this webinar, Pat Whitcomb, Founder of Stat-Ease, Inc., welcomes you to version 10 of Design-Expert software (DX10) for design of experiments (DOE). He hits on the highlights of what’s new and what’s in it for you. For a preview of what’s in store, look here. As a practical matter, the most valuable addition may well be the extension of split-plot design and analysis to response surface and combined designs. Pat provides an enlightening demonstration of this and many other cool new features that provide convincing evidence of why version 10 is a significant step forward from version 9.

    The webinar is available by clicking on the downloadable files below.

  7. I Really Would Rather Not Randomize My Experiment!!!

    Level: Beginner
    First presented on Jun 9, 2014

    Stat-Ease Consultant Wayne Adams discusses the pros and cons of restricting the randomization of an experiment.  He provides practical advice on how to properly screen and characterize hard-to-change (HTC) factors (for example oven temperature) via factorial split-plot designs—a new feature provided by version 9 of Design-Expert® software (DX9).

    The webinar is available by clicking on the downloadable files below.

  8. Design-Expert® Software: Why Version 9 is Mighty Fine!

    Level: Beginner
    First presented on Mar 4, 2014

    In this webinar, Mark Anderson, Principal of Stat-Ease, Inc., welcomes you to version 9 of Design-Expert software (DX9) for design of experiments (DOE). He hits on the highlights of what’s new and what’s in it for you. For a preview of what’s in store, look here. As a practical matter, because this accommodates hard-to-change factors, the most valuable addition may well be split-plot design and analysis for factorials—two-level, multilevel categoric (general), and optimal. Mark provides an enlightening demonstration of this and many other cool new features that provide convincing evidence of why version 9 is mighty fine!

    The webinar is available by clicking on the downloadable files below.

  9. How to Get Started with Design-Expert® Software

    Level: Beginner
    First presented on Mar 24, 2013

    Geared toward novices to design of experiments (DOE) and Design-Expert software, this presentation by Shari Kraber demonstrates how to plan, design and analyze a powerful multifactor test. She also provides a ‘heads-up’ on mistakes made by unsuspecting beginners that lead to DOE failures. The goal of this webinar is to set you up for success using Stat-Ease software for your experiments!.

    The webinar is available by clicking on the downloadable files below.

  10. Real-Life DOE

    Level: Beginner
    First presented on Dec 2, 2012

    Mark Anderson, principal of Stat-Ease, Inc.(Minneapolis, Minnesota, USA) and co-author of the DOE/RSM Simplified textbook series (Productivity, Inc., New York, NY) provides some tricks of the trade that salvaged outstanding results from actual experiments. If you are just beginning with factorial screening and characterization experiments, this webinar is for you! More advanced practitioners might also glean an “aha!” as well, and/or follow up afterward with suggestions that Mark can share via his DOE FAQ Alert e-mail newsletter.

    The webinar is available by clicking on the downloadable files below.

  11. How to Get Started with DOE

    Level: Beginner
    First presented on Jun 21, 2011

    Stat-Ease Consultant Brooks Henderson incorporated his Whirley-Pop 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.

  12. An Introduction to Mixture Design for Optimal Formulations

    Level: Beginner
    First presented on Jan 20, 2009

    This webinar is aimed at product formulators who at best may be using standard factorial designs, or worse yet, the one-variable-at-a-time 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.

  13. The Difference Between Repeats and Replicates in DOE

    Level: Beginner
    First presented on May 13, 2008

    In this presentation examples are used to illustrate the differences between replicates, duplicates, and repeats, as well as the reasons for using each. Cost-based 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 heads-up 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/faqalert4-11.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: 08-May-Webinar.zip

    The webinar is available by clicking on the downloadable file below.

  14. 10 Ways to Mess Up an Experiment & 8 Ways to Clean It Up

    Level: Beginner
    First presented on Feb 5, 2008

    This 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 injection-molding process improvement, Stat-Ease'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.' Stat-Ease published the article in its Stat-Teaser 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.

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