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JMP Screenshots
DOE (Design of Experiments)
Course Materials
This page contains course materials and a variety of resources for teaching design of experiments with JMP, including:
- One page guides and short how-to videos
- Instructor provided videos and resources
- Webinars and journals
- Textbooks and textbook add-ins
- Course materials from the JMP Education Team at SAS
- JMP e-learning courses
- Other resources
For additional resources and information on teaching state-of-the-art DOE, see the Teaching Design of Experiments in Chemistry Info Kit.
JMP and DOE
JMP provides world-class capabilities for design and analysis of experiments.
Contact the JMP Academic Team.
One Page Guides and Short How-To Videos
- DOE Full Factorial Design: Video, Guide
- DOE Full Factorial Analysis: Video, Guide
- DOE Fractional Factorial Design: Video, Guide
- DOE Fractional Factorial Analysis: Video, Guide
- DOE Screening Experiment Analysis: Video, Guide
- DOE - Custom Designs: Video, Guide
- DOE - Evaluate and Compare Designs: Guide
- Monte Carlo Simulation: Guide
The complete set of guides and videos can be found at the JMP Learning Library.
Instructor Provided Videos and Resources
- Phil Ramsey, University of New Hampshire:
- Peter Goos, University of Leuven: Case study videos for teaching design concepts
- Sam Gardner, Eli Lilly: Trebuchet simulator for teaching DOE
Webinars
- Engineering Statistics
- JMP Basics for Professors and Students
- Data Summary and Analysis
- Teaching DOE with JMP
The completed collection of recorded videos can be found in the Academic Webinar Library. The JMP journals and datasets used in the webinars are also provided.
Textbooks and Textbook Add-Ins*
- Textbook Add-In: Applied Statistics and Probability for Engineers (Montgomery and Runger)
- Textbook Add-In: Engineering Statistics (Montgomery, Runger and Hubele)
- Textbook Add-In: Design and Analysis of Experiments with SAS (Lawson)
- Textbook Add-In: Design and Analysis of Experiments (Mongtomery)
- Optimal Design of Experiments - a Case Study Approach
- Design and Analysis of Experiments by Doug Montgomery: A Supplement for Using JMP
- Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition
- Visual Six Sigma, Making Data Analysis Lean, 2E
- Strategies for Formulations Development: A Step-by-Step Guide Using JMP
A complete list of books with JMP can be found here.
*Textbook add-ins provide easy access to JMP data sets for popular engineering statistics books. The complete collection of textbook add-ins can be found here.
Course Materials from the JMP Education Team at SAS*
- JMP Software: Data Exploration
- JMP Software: ANOVA and Regression
- JMP Software: Classic Design of Experiments
- JMP Software: Custom Design of Experiments
- JMP Software: Modern Screening Designs
- JMP Software: Mixture Experiments
*Use of these complementary materials is strictly limited to course use at degree granting academic institutions.
Complete the Teaching Material Request form to request JMP teaching materials from SAS (scroll down, click on the link to request teaching materials, enter your SAS Profile, then scroll down to see a listing of JMP courses available for download).
JMP e-Learning Courses*
*Complementary materials available to qualified instructors for academic course use. The complete collection of complementary e-learning courses can be found here.
Other Information for Teaching and Using JMP
Documentation and Help
- Online help: jmp.com/help
- In JMP, Help > Books or Help > JMP Help
Sample Data, Scripts and Add-Ins
- In JMP: Help > Sample Data Library or Help > Sample Data
- Online: JMP User Community File Exchange
Live and Recorded Webinars
- Live Webinars: jmp.com/webcasts
- Recorded Webinars: jmp.com/ondemand
