Go to Main Content

Purdue Self-Service

 

HELP | EXIT

Detailed Course Information

 

Spring 2020
Mar 31, 2020
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

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: Graduate, Professional, Undergraduate
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.


Prerequisites:
(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-)

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.2.4