This course offers a fresh perspective about designing experiments through state-of-the-art features in JMP. This course specifically focuses on the principles of designing an experiment and how to use all of them to achieve an optimal design.

Lernen Sie, wie Sie / 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.
• Eliminate noise from nuisance factors.
• Find best factor settings to achieve desired response levels.

Zielgruppe / Who should attend

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

Verfügbare Schulungsformen / Formats available	Dauer
Präsenzkurs:	2.0 Tage
Live Web Class:	14 Stunden
E-Learning:	14 Stunden/180 Tag Lizenz	Systemvoraussetzungen

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

In diesem Kurs wird mit folgenden Software Modulen gearbeitet: JMP Software

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.