Comprehensive Experiment of Statistics
Course No.: SMI2133138 Credit(s):3
Course Description
This course focuses on the teaching and experiment of the main courses in the form of statistical cases. This course systematically introduces the experimental contents of the main courses of statistics, such as Statistics, Econometrics, Multivariate Statistical Analysis, Time Series Analysis, Statistical Analysis Software, etc. The main statistical softwares used are EXCEL, EVIEWS and R.
Course Learning Outcomes
After studying the course, students can possess basic statistical thinking, master basic statistical methods, cultivate the ability to analyze and solve practical problems in economic management and other fields by using statistical methods, and lay a solid foundation for further learning and research.
Relationship to Other Courses
Pre-requisites: Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics, Microeconomics & Macroeconomics, Statistics, Econometrics, Time Series Analysis.
Textbook and Reading Lists
Textbook:
Jian He, Stata Comprehensive Experiment of Statistics (1st edition). Dongbei University of Finance & Economics Press, 2014.5.
Suggested reading lists:
Weiya Zhao, Guohua Pu, Fundamental experiment of Statistics (1st edition). Zhejiang Gongshang University Press, 2009.5.
Rongmei Xiang, Statistics (1st edition). Southwestern University of Finance and Economics Press, 2013.1.
Journal of Statistical Research.
Course Assessment
Item | Title | Weighting (%) |
1 | Task in home | 10% |
2 | Test and Questions in class | 10% |
3 | Final exam | 80% |
Course Schedule
Week | Topics | Text |
1 | EXCEL Experiment: Numerical Data Analysis | Chapters 1 |
2 | EXCEL Experiment: Qualitative Data Analysis | Chapters 2 |
3-4 | EXCEL Experiment: Case Analysis | Chapters 3 |
7 | EVIEWS Experiment: Simple Linear Regression Analysis | Chapters 4 |
8 | EVIEWS Experiment: Multiple Linear Regression Analysis | Chapters 5 |
9-10 | EVIEWS Experiment: Cointegration Analysis | Chapters 6 |
11-12 | EVIEWS Experiment: Vector Autoregressive Model Analysis | Chapter 7 |
13 | R Experiment: Foundation of R Language | Chapter 8 |
14-15 | R Experiment: Describe Statistical Analysis, Data Screening and Sampling | Chapter 9 |
16 | R Experiment: Primary Drawing | Chapter 10 |
17-18 | R Experiment: Advanced Drawing | Chapter 11 |