Mar 27, 2023  
2015-2016 Undergraduate Academic Catalog 
2015-2016 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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IE 460 - Design for Quality

3 lecture hours 0 lab hours 3 credits
Course Description
This course covers the basic approaches to statistically designed experiments including hypothesis testing by the use of ANOVA, Analysis of Means, Student t, F, Chi-square and Z tests, and decision making by use of statistics, factorial, and Taguchi methods. (prereq: MA 262 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Recognize applicability of experimental design techniques
  • Plan and conduct a designed experiment
  • Analyze experimental data, draw conclusions, and make recommendations regarding process improvements

Prerequisites by Topic
  • Basic understanding of probability, statistical distributions, calculating means and standard deviations, student “t” tests and central limit theorem

Course Topics
  • Review of Statistics (3 classes)
  • Hypothesis Testing (6 classes)
  • Analysis of Means (6 classes)
  • Applications of Factorial Designs (2 classes)
  • One-Way and Two-Way, ANOVA (4 classes)
  • Fractional Factorial designs (3 classes)
  • Taguchi Methods (5 classes)
  • Examinations (2 classes)

Aaron Armstrong

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