JMP Software: Classic Design of Experiments  (JDRS7)

Duration

2 days

Description

This course teaches you how to design and analyze experiments in JMP 7 to find the vital few factors or optimize the process response. The course emphasizes the principles of experimental design while also demonstrating screening designs and response designs.

Learn how to

• explain the fundamental principles of designed experiments
• create and analyze full factorial and screening designs
• create and analyze classic response surface designs
• use the custom design tool in JMP

Prerequisite Skills

Before attending this course, it is recommended you:

• complete the JMP Software: Statistical Data Exploration course or have equivalent experience
• complete the JMP Software: ANOVA and Regression course or have equivalent experience
• have some knowledge of the basic tenets of design of experiments.

Course Topics

Introduction to Design and Analysis of Experiments

• review of basic statistical concepts
• introduction to experimental design
• completely randomized designs

Multiple Factor Designs and Blocking

• randomized complete block design
• randomized incomplete block design
• split plot designs
• full factorial designs
• the 2^k factorial design

Screening Designs

• full factorial screening designs
• fractional factorial designs
• blocking with screening designs

Response Surface Methodology

• concepts and terms
• classic response surface designs for second-order models
• steepest ascent method

Custom Designs

• custom design generation
• custom response surface designs

Booking

Please contact the Education Team at SAS for the latest information on all SAS courses or to put your name on our specialised course waiting list.