《Statistics》Syllabus

Course Number:           2110010807

Course Name:               Statistics

Instructors:                    Li Dongyang

Required Text:              Jia Junping, He Xiaoqun, Jin Yongjin. Statistics (8th Edition) [M]. Beijing: Chinese University Press,2021.

Course Description:      This course is a compulsory course for business administration majors, and plays a fundamental and core role in talent training programs. This course is a methodological science that introduces and applies the basic theories and methods of statistical quantitative analysis, closely combines social practice, and analyzes the quantitative performance, quantitative relationship and quantitative change law of social and natural phenomena. The course covers the basic concepts of statistics, graphing data, describing data with statistics, parameter estimation, hypothesis testing, ANOVA, linear regression, time series forecasting, and exponentials. This course is not only a continuation of the pilot course Probability Theory and Mathematical Statistics, but also provides the basis and analysis methods for the market research and analysis of the subsequent courses. Through the study of this course, students will understand the generation, development, connotation, and important role of statistics, as well as the basic process of statistical work. Understand the basic concepts, ideas and theories of statistics; Master the basic statistical analysis methods such as the collection of statistical data, the collation and display of statistical data, the generalization of statistical data, parameter estimation, hypothesis testing, correlation and regression analysis, time series analysis and exponential analysis, so that students can correctly use relevant statistical methods to solve practical problems.

Credits/Teaching Hours

Outline of UG CPC Topics Covered in this Course:           (3 credits/48 lecture hours)

Chapter 1 Introduction to Statistics                                                   4 Teaching hours

Section 1 Statistics and Their Fields of Application

Section 2 Some Basic Concepts in Statistics

Section 3 Types of Statistical Data

    Section 4 Introduction to Commonly Used Statistical Software

Chapter II: Collection of Data                                                            4 Teaching Hours

Section 1 Overview of Data Collection

Section 2 Methods of Statistical Surveys

Section 3 Data Collection Methods

Section 4 Design of Survey Plans

Section 5 Data Quality                                                                                      

Chapter 3 Collation and Display of Data                     4 Teaching Hours

Section 1 Data Preprocessing

Section 2 Collation and Display of Quality Data

Section 3 Collation and Display of Numerical Data

Section 4 Fair Use of Charts

Chapter 4 Generalized Measurement of Data                                    4 Teaching Hours

         Section 1 Measurement of Concentration Trends

         Section 2 Measurement of Dispersion

         Section 3 Skewness and Kurtosis

Chapter 5 Statistics and Sampling Distribution                                 4 Teaching Hours

Section 1 Probability and Probability Distributions

Section 2 Concepts, Characteristics and Types of Statistics

Section 3 Sampling Distribution of Statistics

Chapter 6 Parameter Estimation                         6 Teaching Hours

    Section 1 Basic Principles of Parameter Estimation

    Section 2 Interval Estimation of Population Parameters

    Section 3 Interval Estimation of Population Proportions

Section 4 Determination of sample size

Chapter 7 Hypothesis Testing                                                            6 Teaching hours

Section 1: Fundamentals of Hypothesis Testing

Section 2 Testing of the Population Mean

Section 3 Examination of the Overall Proportion

Section 4 Other Issues in Hypothesis Testing                                       

Chapter 8 Correlation and Regression Analysis                                6 Teaching hours

Section 1 Correlation Analysis

Section 2 Regression Analysis                                                          

Chapter 9 Time Series Analysis and Forecasting                              6 Teaching hours

Section 1 Overview of Time Series

Section 2 Descriptive Analysis of Time Series                                                 

    Section 3 Constituent Factors and Analytical Models of Time Series

    Section 4 Time Series Forecasting

Chapter 10 Indices                                                                              4 Teaching hours

Section 1 The Concept, Types and Functions of Indices

Section 2 Methodology for Compiling the Total Index

Section 3 Index System and Factor Analysis

Section 4 Several Common Indices                                                

               Total (Teaching Hours)                                                                  48  

Summary of UG CPC Topics Covered in this Course:                   (48 Teaching Hours)