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◄Faculty of Economics and Administration►

Assessment Continuous Assessment: 50%
Final Examination: 50%

th
Main Reference (1) D. Gujarati, Basic Econometrics, 4 ed., McGraw-
Hill, 2003.
(2) J. Wooldridge, Introductory Econometrics, 2 ed.,
nd
Thomson. 2003.
nd
(3) D. Gujarati, Essential of Econometrics, 2 ed.,
McGraw-Hill, 1999.
(4) W.H. Greene, Econometric Analysis, 4 ed., Prentice
th
Hall, 2000.

ESGC6357 STATISTICAL METHODS FOR QUALITY MANAGEMENT

Learning Outcomes At the end of the course, students are able to:

(1) Explain role of statistical methodology in quality
management in field of social science;
(2) Apply various statistical tools and techniques in
describing quality characteristics;
(3) Analyse statistical results in solving quality related
problem; and
(4) Communicate findings effectively.
Synopsis of Course This course exposes students to basic concepts of
Contents quality and the roles of statistical methods in
understanding and managing quality of processes and
products. Statistical software is utilized in understanding
process and product quality characteristics. The topics
covered include Statistical Thinking in Quality
Improvement, Statistical Process Control, Multivariate
Methods for Quality Improvement, Principles of
Six Sigma.
Assessment Continuous Assessment: 60%
Final Examination: 40%

Main Reference (1) Montgomery, D.C. (2009), Introduction to
Statistical
Quality Control. John Wiley & Sons Inc. 6th Ed.
(2) Evans, J. R., & Lindsay, W. M. (2010). The
Management and Control of Quality: South-Western
Cengage Learning. 8th Ed.
(3) Yang, K., & Trewn, J. (2004). Multivariate
Statistical
Methods in Quality Management. New York: McGraw
Hill.

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