MATH 737 - Statistical Methods for Quality Improvement

Institution:

University of New Hampshire at Manchester

Subject:

Description:

Introduces scientifi c data collection and analysis with an emphasis on industrial and service provider applications. Topics include: descriptive and graphical statistical methods; confi dence intervals and hypothesis testing; regression; ANOVA; statistical process control (SPC); failure modes and eff ects analysis (FMEA); Six-Sigma concepts and methods; introduction to Reliability; quality tools, MSA, and process capability studies; introduction to Lean methodology, such as 5S, Kaizen, and VSM. Use of a software package is an integral part of the course. Prereq: MATH 644. 4 cr.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

manchester.unh.edu

Phone Number:

(603) 641-4321

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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