Mar 23, 2023  
2020-2021 Undergraduate Academic Catalog 
2020-2021 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 and factorial 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, continuous statistical tests, central limit theorem, and hypothesis testing

Course Topics
  • Review of statistics
  • Hypothesis testing
  • Analysis of means
  • Applications of factorial designs
  • One-way and Two-way, ANOVA
  • Fractional factorial designs
  • Blocking and use of counterpoints

Dr. Doug Grabenstetter

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