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|IE 33000 - Probability And Statistics In Engineering II|
Credit Hours: 3.00. Introduction to statistical inference and experimental design. Correlation, regression, single and multi-factor ANOVA, non-parametric methods. Applications to statistical quality control. Typically offered Fall Spring Summer.
3.000 Credit hours
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Lecture
All Sections for this Course
Offered By: School of Industrial Engr
Department: Industrial Engineering
May be offered at any of the following campuses:
Learning Outcomes: 1. Use statistical software packages (e.g. Minitab) to perform statistical tests. 2. Compute and interpret statistical confidence, tolerance, and prediction intervals given engineering and scientific data. 3. Conduct and interpret parametric statistical tests (e.g. t-test, ANOVA) on engineering and scientific data. 4. Conduct and interpret non-parametric statistical tests on engineering and scientific data. 5. Conduct and interpret regression analysis on engineering and scientific data. 6. Determine the appropriate statistical test or procedure to use on engineering and scientific data. 7. Design basic factorial experiments and conduct basic statistical process control analysis.
(Undergraduate level ENGR 13100 Minimum Grade of D- or Undergraduate level ENGR 14100 Minimum Grade of D- or Undergraduate level ENGR 16100 Minimum Grade of D-) or (Undergraduate level EPCS 11100 Minimum Grade of D- and Undergraduate level EPCS 12100 Minimum Grade of D-) or (Undergraduate level ENGR 12600 Minimum Grade of D- or Undergraduate level ENGR 12100 Minimum Grade of D-)
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