Nov 26, 2024  
2022-2023 Online College Catalog 
    
  Catalog Home
  College Home Website
  Admissions
  General Information
  Academic Calendar
  Graduate Programs
  Graduate Policies
  Graduate Courses
  Undergraduate Programs
  Undergraduate Policies
  Undergraduate Courses
  Non-Credit Programs
  Non-Credit Courses
  Policies and Procedures
  Consumer Grievance Policy
  Student Resources & Support
  Textbook and Materials
  Graduation
  Brightspace Login
  Distance Learning
  Contact Information
  On-Campus Programs at a Glance
  Tuition and Fees
  My Portfolio
HELP
2022-2023 Online College Catalog [Archived Catalog]

Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

MB 641 - Statistical Thinking

This course applies the principles of the theory of variation in developing statistical thinking for the improvement of the organization and its management. Students will develop practical understanding of the principles, procedures, and tools associated with statistical thinking (not techniques). It will teach a theory of management common to any improvement approach (TQM, Six Sigma, Lean, etc.) and give a context for integrating improvement into everyday work – not as a “bolt on” program to current operations.

Assignment Overview
Interactivity: Weekly graded discussions, reflection journals

Final Assessment: Final Paper

Course Learning Objectives
Upon completion of this course, you should be able to do the following:

  • Apply a robust theory of variation for improved practices
  • Appropriately construct and interpret process behavior charts
  • Appropriately apply process tools for improvement
  • Understand that the use of data is a process and a major hidden untapped source of waste in most organizations
  • Apply knowledge of the crucial need to distinguish between common and special causes of variation to take appropriate actions when faced with management decisions
  • Realize that eliminating costs does not eliminate the causes of costs


Credits: 3


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)