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Spring 2020
Mar 29, 2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. The Schedule Type links will be available only when the schedule of classes is available for the selected term.

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

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture

Offered By: School of Industrial Engr
Department: Industrial Engineering

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

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.



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