May 21, 2024  
2020-2021 Academic Catalog 
2020-2021 Academic Catalog [ARCHIVED CATALOG]

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IME 3120 - Six Sigma III

Prerequisite(s): EGR 3430.
A study of how to design experiments and use statistical analysis to determine the sensitivity of the output of a process to changing input parameters. Included are randomized designs, hypothesis testing, analysis of variance (ANOVA) with single factor experiments, randomized Block Design, Latin Square designs, incomplete and complete Block Designs, 2k Factorial Designs, replication, Nested Designs, split-plot design, regression analysis, response surface methods, covariance, and the Taguchi Method. 3 credits. (3 plus 0) Credit(s): 3 (3 plus 0)

Student Learning Outcomes:

  • Ability to select controllable factors and to recognize uncontrollable factors which affect the yield of a process.
  • Application of hypothesis testing.
  • Development of test statistics.
  • Ability to analyze ANOVA routines for the various types of experimental designs.
  • Ability to design and analyze the appropriate experiment for a variety of applications.
  • Application of the software MINITAB.

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