JMP data visualization illustration - clades

JMP® Education

Design of Experiments and Quality Improvement

JMP®: Custom Design of Experiments

This course focuses on the core principles of designing an experiment, enabling you to understand and apply those principles to achieve an optimal design using the Custom Design platform in JMP.

Custom design is an approach to designing experiments that produces optimal designs for the problem you’re trying to solve, whether that’s identifying important effects, or trying to optimize one or more responses. In addition to learning about custom design in JMP, you’ll explore key design concepts including sample size and power, balance, choice of factor ranges, blocking, and design evaluation. This course is for anyone who works in discovery, research, development, and quality assurance or control.

Duration: 4 half-day sessions

Registration Fee: $400 US

Free On-Demand e-Learning

Enroll Now

Learn how to:
  • Use custom design for any experiment.
  • Choose appropriate criteria for optimal design.
  • Effectively and efficiently test factor effects or predict responses.
  • Augment existing experiments to address new questions.
  • Design and analyze experiments with hard-to-change factors.
  • Find the best factor settings to achieve desired response levels.

Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration and JMP®: Statistical Decisions Using ANOVA and Regression courses or have equivalent experience.

Introduction

  • Introduction to design of experiments.
  • Introduction to custom design.
  • About responses.

Experiments with One Factor

  • Testing a categorical factor.
  • Testing a continuous factor.
  • Validating the model.
  • Testing a quadratic effect.

Experiments with Two Factors

  • Testing two categorical factors.
  • Testing one continuous factor and one categorical factor.
  • Testing with one blocking factor.
  • Testing two continuous factors.

Experiments with Multiple Factors

  • Two responses to five factors.
  • Three responses to seven factors.
Course Dates

This course is not available at this time. Please check back at a later date.

Don’t see a course you want listed on the dates that you need? Contact us at training@jmp.com.

Contact JMP Education