Design and Analysis of Experiments

This course provides scientists and engineers with a thorough introduction to the creation and analysis of statistically designed experiments using JMP Software.

The course covers classical screening and response surface designs. A separate course is available that addresses designs created using the JMP custom design platform.

Attendees of the course will learn the mechanics of how to create and analyse experiments within JMP but also learn the statistical principles that underpin the designs and the techniques that are available to evaluate design properties.

Whenever a design choice is made there are consequences in the analysis of the experiment results. By illustrating these consequences, this course helps scientists and engineers to understand the value of statistically designed experiments and empowers them to make better informed decisions.

Basic Terminology and Factorial Designs

• Main effect calculations
• Estimating effects
• Estimating interactions
• Full factorial designs
• Fractional factorial designs
• Generating rules
• Confounding and aliasing

Practical Considerations

• Defining responses
• Defining factors
• Blocking
• Randomisation
• Centre points

Response Surface Designs

• Constructing a response surface
• Central composite designs
• Prediction variance
• Rotatable and orthogonal properties
• Orthogonal designs
• Uniform precision designs
• Box-Behnken designs