Comprehensive Experiment of Statistics
Date: 2018-10-24 Views: 14

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