ANOVA for Design of Experiments

This seminar is suggested for product or process experts who have a need to utilize more detailed information concerning Design of Experiments analysis. It primarily addresses the subject of ANOVA, analysis of variance, which is a statistically based, objective decision-making tool. This is an advanced seminar that covers the fundamentals required to analyze orthogonal experiments, interpret, and recommend further action based on the analysis. Emphasis is placed on the analysis phase of the DOE process. The seminar covers DOE basic review, simple and complex ANOVA situations, process capability estimation, and a review of available computer software for experimental design and analysis.

What Will You Learn

By attending this seminar, you will be able to:
  • perform ANOVA for DOE analysis
  • interpret ANOVA results
  • estimate process capability from ANOVA information

Is This Course For You

This seminar is designed for product and process design engineers, manufacturing engineers, quality engineers (control, assurance, or supplier), testing and development engineers, and technical managers who are interested in more comprehensive experimental analyses and information. Although, more statistical in nature, this seminar does not require a statistical education or background to comprehend the contents; only fundamental mathematical skills are necessary. This seminar is also very helpful in providing a statistical foundation for those seeking certification in quality engineering.

It is strongly recommended that the registrant attend a Basic Design of Experiments course or have experience with fractional factorial experiments based on orthogonal arrays before attending the ANOVA for Design of Experiments course.

Materials Provided

This data is not available at this time

Course Requirements

This data is not available at this time


  • Training Objectives
  • Design of Experiments Process Flowchart
  • Planning and Conducting Phase Review
  • Analyzing and Interpreting Results
    • observation method review
    • column effects method review
    • raw data ANOVA -- one-way; two-way; multi-way with orthogonal arrays
    • variation ANOVA
    • attribute data ANOVA
    • interpreting experimental results
    • plotting
    • prediction of mean and confidence interval
    • confirmation experiment
    • process capability estimates
  • Software Review and Comparison