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
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
Dept. Industrial Engineering and Engineering Management
Research Field
Quality Engineering and Management, Process Capability Analysis, Statistical Inference and Applications, Statistical Process Control, Six Sigma Methodology and Applications, Data Analysis
✉️ E-mail
👨🏫 Introduction