Statistics@MIT
15.064J -- Engineering Probability and Statistics
Course Description: Modeling and analysis of uncertainty and variation. Probability models and distributions, regression, and basic statistical procedures pertinent to manufacturing. Introduction to experimental design, Taguchi methods, and statistical process control. Use of a data analysis package such as JMP or Minitab. Primarily for Leaders for Manufacturing students.
This class is at the Graduate level, however it isPrimarily for Leaders for Manufacturing students.
This course is also known as: ESD.751J
Instructor: A. I. Barnett, R. Welsch
Prerequisites: 18.02
Back to Classes
Course Description: Modeling and analysis of uncertainty and variation. Probability models and distributions, regression, and basic statistical procedures pertinent to manufacturing. Introduction to experimental design, Taguchi methods, and statistical process control. Use of a data analysis package such as JMP or Minitab. Primarily for Leaders for Manufacturing students.
This class is at the Graduate level, however it isPrimarily for Leaders for Manufacturing students.
This course is also known as: ESD.751J
Instructor: A. I. Barnett, R. Welsch
Prerequisites: 18.02
Suggestions,feedback? Please send your thoughts to statistics@mit.edu