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JMP Software: Custom Design of Experiments

Duration: 2.0 days
Course fee: $950
EPTO units: 1.8
CEUs: 1.2
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This course is for engineers and scientists with some statistical training who want a fresh perspective about designing experiments through state-of-the-art features in JMP.

Learn how to

Who should attend

Directors, managers, engineers, scientists, technicians, and analysts working in discovery, research, development, and quality assurance or control, as well as Black Belts working on Six Sigma projects

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Prerequisites
Before attending this course, you should complete the JMP Software: Statistical Data Exploration and JMP Software: ANOVA and Regression courses or have equivalent experience.
Course Contents
Introduction
  • characteristics and benefits of custom design
  • introduction to custom design interface and training simulators
Experiments without Factors
  • information in binary or continuous response
  • location and spread statistics
Experiments with One Factor
  • categorical and continuous factors
  • sample size and balanced testing
  • test point spacing and replication
  • model verification and design augmentation
  • standard errors of parameter estimates and prediction variance
  • optimality criteria
Experiments with Two Factors
  • more information without adding resources
  • blocked runs for homogeneous response
  • the interaction effect
  • response surface models
  • grouped runs and restricted randomization (split-plot design)
Multi-Factor Case Studies
  • optimal factor settings for multiple responses
  • team activity: independently solve design and analysis problems
  • simulation of live test results
Software
This course addresses JMP.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Are there additional topics you'd like for this course to address? Would you like for this course to be offered at another training facility? Let us know by adding to our Interest List.

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