Statistical Methods in Quality Management
Course No.: SMJ2221133 Credit(s): 2
Course Description
This course is based on basic concepts, basic theories and basic methods. Taking the common statistical methods as the center, explain profound the statistical methods of quality management in simple language. This course enables readers not only to know the method, but also to know the theoretical context of the method combining the principles with examples, and highlight the key points of the application of the method, and make the statistical rules followed by random variables easy to understand.
Course Learning Outcomes
After studying the course, students will master all kinds of quality management methods systematically, and understand the statistical ideas contained in various methods and master the different characteristics, application conditions and applicable situations of various quality management methods. Students have the ability to use statistical methods to analyze and solve the actual problems of quality management.
Relationship to Other Courses
The prerequisite for this course is Advanced Mathematics, Linear Algebra.
Textbook and Reading Lists
Textbook:
Jiansi Tie, Statistical Methods in Quality Management. Machinery Industry Press, 2006.
Suggested reading lists:
Jixiang Zhou, Shisong Mao, Statistical Methods for Quality Management. China Statistics Press; 1999.
Course Assessment
Item | Title | Weighting (%) |
1 | Task in home | 10% |
2 | Test and Questions in class | 20% |
3 | Final Assignment | 70% |
Course Schedule
Week | Topics | Text |
1 | Introduction, Quality and Management and Statistical Methods | Chapters 1 |
2-3 | Data and its Sorting Method | Chapters 2 |
4 -5 | Basis of Statistical Methods | Chapters 3 |
6-7 | Test and Estimation of the Hypothesis of Measurement Value | Chapters 4 |
8-9 | Test and Estimation of the Numerical Value Hypothesis | Chapters 5 |
10-11 | Control Chart | Chapters6 |
12-14 | Correlation Analysis and Regression Analysis | Chapter 7 |
15-16 | Analysis of Variance and Experimental Design | Chapter 8 |
17-18 | Sampling Inspection | Chapter 9 |
18 | Review | |