Discover how design of experiments (DOE) drives product and process improvements. From the comfort of your own home or office, learn the basics of two-level factorial designs through Stat-Ease's unique combination of eLearning modules and the DOE Simplified textbook, supplemented with live Q&A sessions hosted by our DOE experts. Master the user-friendly Design-Expert software with hands-on practice cases! Complete your education by designing and analyzing your own DOE while being mentored by Stat-Ease consulting staff.
This course runs for 4 weeks, with weekly activities and Q&A sessions. See the Course Outline for details.
Contents subject to change.
Weekly instructor-led online session will be on Wednesdays at 1:00 pm Central Time (US). This will be recorded in case a student is not able to attend.
Attendees should complete weekly assignments PRIOR to the webinar.
Knowledge of basic statistics (mean and standard deviation), and exposure to simple comparative experiments (e.g. two-sample t-test) are recommended. To refresh these skills and review basic concepts and terminology, we require completion of the online PreDOE: Basic Statistics for Experimenters course during Week 1 of this Distance Learning course. It takes 2-3 hours to complete. You can work at your own pace. Access the PreDOE here.
If you are not familiar with Design-Expert software, then please download a trial of Design-Expert software (if you do not already have access to it) and work through the first tutorial: One Factor - Bowling, found in the Help system.
PDHs: 16 (equals 1.6 CEUs)
Exact course deadlines, webinar information and access to eLearning course materials will be provided with your confirmation letter, which you will receive once the minimum enrollment requirements are met. The online Q&A/webinar session is tentatively planned for 1:00 - 2:00pm (USA Central Time) each Wednesday. These will be held via Zoom Meetings. You will need to download the Zoom Cloud Meeting app prior to the first session.
Required Texts and Software