Go to Main Content

Purdue Self-Service



Detailed Course Information


Fall 2015
Aug 30, 2015
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. Continuation of IE 23000. 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.
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 Objectives: 1. Learn use of statistical software packages (e.g. Minitab). 2. Learn parametric statistical tests (e.g. t-test, ANOVA). 3. Learn non-parametric statistical tests. 4. Learn design of experiments (e.g. factorial). 5. Learn how to implement statistical process controls.

(Undergraduate level ENGR 13100 Minimum Grade of D- or Undergraduate level ENGR 14100 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-) and (Undergraduate level IE 23000 Minimum Grade of D- or Undergraduate level BME 20500 Minimum Grade of D-)

Return to Previous New Search
Transparent Image
Skip to top of page

Having trouble? Self Help Knowledgebase | For assisted support: itap@purdue.edu or 765-494-4000
Purdue University is an equal access/equal opportunity university. If you have trouble accessing
this page because of a disability, please contact ITaP Customer Service at itap@purdue.edu.

Release: 8.7.1