Foundations of Statistical Decision Making

Hypothesis Testing, ANOVA, and Design and Analysis of Experiments (DOE) for the Manufacturing Professional

Created by: Ray Harkins, The Manufacturing Academy
Senior Manufacturing Professional, Online Educator

Created by: Michael J. Vella
Instructor with the Manufacturing Academy

What Will I Learn?

• How to conduct experiments and analyze the resulting data to help make better technical decisions about equipment, processes and measurement systems
• An intermediate-level statistical tool kit aimed at the manufacturing professional
• Practical examples and case studies from a manufacturing setting
• Hypothesis Testing - What is it and How to apply it?
• T tests, Z tests - With examples in Microsoft Excel
• Design and Analysis of Experiments (DOE)
• DOE terminology and techniques
• ANOVA, One and Two Factor - Also with examples in Microsoft Excel
• Full Factorial Experiments
• Fractional Factorial Experiments
• Taguchi Experimental Methods

Requirements

• General understanding of manufacturing
• General understanding of spreadsheets
• Basic understanding of math and statistics
• Desire to learn intermediate-level statistical tools

Target audience

• Industrial engineers, Manufacturing engineers
• Quality engineers and quality technicians
• Process engineers and process technicians
• Manufacturing managers