Where am I?
Comparative Methods & One-Way ANOVA
Critical Choices Have Consequences
Whether it is a choice of differing process methods, material selections, equipment purchases or competing product designs we are constantly faced with choosing between two or more alternatives and many times with significant consequences.Powerful Tools Building on Each Other
You will learn how to properly apply One-Way Analysis of Variance (ANOVA) when having to choose between than more two alternatives. Understanding ANOVA is essential for Design of Experiments applications. With this course you are taking a very important step toward even more powerful tools!Our Expertise Put to Work for You
We demonstrate application of comparative methods through the use of actual industry case studies that relate to your real-world goals. This approach will accelerate your ability to implement them immediately in your operations.Course Content & Objectives
- Comparing One-Sample to a Standard
- Two-Sample Comparison Methods
- Basics of Hypothesis Testing
- Confidence Intervals vs. Hypothesis Tests
- Comparative Methods for Attribute data
- Understanding ANOVA and the F test
- Post ANOVA Multiple Comparison Methods
- Effect Estimates for Factor Levels in ANOVA
Who Should Attend?
Personnel involved in continuous improvement efforts or planning to implement DOE methodology, including Process Engineers and Managers, Technicians, Production Management, Quality Managers, Engineers and Technicians.Course Duration: 1 Day
Prerequisite: Statistics for DOE or Equivalent Knowledge
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On Site Training Option – Eliminate Costly Travel Expense
All Courses may be delivered at your site or one of our nearby facilities. Company projects may be integrated into any of the On Site courses.
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Combine Our Consulting Services with Your Courses
The combination of Training Courses and Consulting Support deliver the highest value to Clients. Move critical projects forward while increasing staff capability.Download our full Quality Engineering Course Catalog (pdf, 3.02MB).