11220 工程統計

This course was taught in Chinese, and the videos include English captions.

Brief Description

This course emphasizes and illustrates the use of probabilistic models and statistical methodology that is employed in countless applications in industrial engineering. It gives the student an understanding of the logic behind statistical techniques as well as practice in using them.

Course keywords

機率論(Probability Theory); 抽樣分配(Sampling Distribution); 估計(Estimation); 假設檢定(Hypothesis Testing); 變異數分析(Analysis of Variance, ANOVA); 迴歸分析(Regression Analysis);

Course Description

This course emphasizes and illustrates the use of probabilistic models and statistical methodology that is employed in countless applications in industrial engineering. It gives the student an understanding of the logic behind statistical techniques as well as practice in using them.

Text Books

Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2016). Probability and
Statistics For Engineers and Scientists. (Global 9th edition). Pearson Education.

References

1. Johnson, R. A. (2011). Probability and Statistics for Engineers (8th edition).
   Prentice-Hall Inc.
2. Ross, S. M. (2009). Introduction to Probability and Statistics (4th edition).
   Elsevier Academic Press.
3. Keller, G. and Warrack, B. (2005). Statistics for Management and Economics.
   Duxbury.
4. Walpole, R.E., Myers, R.H., Myers, S. L. and Ye, Keying (2012). Probability and
   Statistics For Engineers and Scientists. (9th edition). Pearson Education.

Teaching Method

Lecturing and discussion

Syllabus

Chapter 8: Fundamental Sampling Distributions and Data Descriptions
Chapter 9: One and Two-Sample Estimation Problems
Chapter 10: One- and Two-Sample Tests of Hypotheses
Chapter 11: Simple Linear Regression and Correlation
Chapter 13: One-Factor Experiments: General
Chapter 14: Factorial Experiments: Two or More Factors (Optional)
Chapter 16: Nonparametric Statistics (Optional)

Evaluation

1. Midterm Exam (30%)
2. Final Exam (40%)
3. Others (30%)
   • Quizzes
   • Class Participation
   • Homework assignments/Practices