Experiment Design Made Easy (EDME) (2 days)
Identify the Vital Few Effects—Make Breakthrough Improvements
Find out how to make breakthrough improvements using powerful design of experiments (DOE) techniques. Start with our Experiment Design Made Easy workshop to learn about using factorial designs for finding which factors you need to focus on. Discover previously unknown interactions that often prove to be the key to success. Learn how to use powerful ANOVA analysis methods that give you confidence in your findings.
Apply Tried and True Techniques
Experiment Design Made Easy covers the practical aspects of DOE. (Students may purchase the optional "DOE Simplified" book for reference.) You learn all about simple but powerful two-level factorial designs. During this introductory DOE workshop, you will discover how to effectively:
- Understand the motivation for factorial designs
- Implement the DOE planning process
- Interpret analysis of variance (ANOVA)
- Discover hidden interactions
- Capitalize on efficient fractional designs for screening or characterization
- Use power to properly size designs
- Determine when to use transformations
- Explore multilevel categoric factors
- Set up split-plot designs
- Follow the strategy of experimentation from screening to response surface methods
Choose the Best Strategy
The "Experiment Design Made Easy" workshop helps you plan your DOE by selecting the appropriate designs. It guides you through your experiment and strategic analysis.
"Practical. Good mix of theory and application."
—Chris Easter, Metallurgist
Simulations Provide Practice
—Matt Hanken, Senior Manufacturing Engineer
|Day 1||Section 1—Introduction to Factorial Design|
|Lunch||Section 2—Enhancements for Design and Analysis of Factorials|
|Section 3—Blocking and Fractionating Factorials|
|Day 2||Section 4—Small Factorial Designs|
|Section 5—Multilevel Categoric Design (General Factorial)|
|Lunch||Section 6—Split-Plot Designs
|Section 7—Factorial with Center Points and RSM Introduction|
|Section 8—Overview and Homework|
Math skills, knowledge of basic statistics, and exposure to simple comparative experiments (e.g. two-sample t-test) are recommended. If you aren't ready for the Experiment Design Made Easy workshop, take the online PreDOE course first (a $95 value you get for free! It takes 2-3 hours to complete. You can work at your own pace). Access the PreDOE here.
Before attending class, please download a trial of Design-Expert software, v10 (if you do not already have access to it) and work through the General Multilevel-Categoric One-Factor Tutorial.
|PDHs||16 (equals 1.6 CEUs)|
Workshop location details will be provided with your confirmation letter, which you will receive once the minimum enrollment requirements are met.
Here are addresses we have used in the past:
Minneapolis, MN (Stat-Ease headquarters): 2021 East Hennepin Ave, Suite 480, Minneapolis, MN 55413
San Jose, CA: 2025 Gateway Place, Suite 390, San Jose, California 95110, Website
|Recommended Texts and Software||
Recommended Texts and Software