Does anyone have a relatively complete social statistics review material or syllabus?

You can also read some reference materials when reviewing after class. Reference materials should be selected, not too many, and it is best to choose one copy of each subject. Reading reference materials should be synchronized with classroom learning, that is, focusing on the central content of the teacher's lecture or what you don't understand.

It is also necessary to compare it with the textbooks, focus on mastering the knowledge of the textbooks, and appropriately deepen and broaden the understanding of the knowledge of the textbooks.

Lecture 11 Hypothesis Verification: Mean and Percentage (II).

Teaching points: Hypothesis verification of the difference between the single percentage and the percentage.

Reflection Questions: Write exercises in Chapter 7 of the textbook.

2. Lu Shuhua, Social Statistics, Peking University Press, 1997

3. Blaylock, Social Statistics, China Social Sciences Press, 1988

Reflection Questions: Write exercises in Chapter 8 of the textbook.

2. Lu Shuhua, Social Statistics, Peking University Press, 1997

3. Blaylock, Social Statistics, China Social Sciences Press, 1988

Reflection Questions: Write exercises in Chapter 8 of the textbook.

2. Lu Shuhua, Social Statistics, Peking University Press, 1997

3. Blaylock, Social Statistics, China Social Sciences Press, 1988

Lecture 14 Introduction to Variable Term Analysis (Part I).

Reflection Questions: Write exercises in Chapter 9 of the textbook.

2. Lu Shuhua, Social Statistics, Peking University Press, 1997

3. Blaylock, Social Statistics, China Social Sciences Press, 1988

4. David K. Hildebrand et al., Methods and Techniques of Social Statistics, Social Sciences Academic Press, June 2005.

Lecture 15 Introduction to Multivariate Analysis (II).

Teaching points: stepwise regression, interactive classification and fictitious variables, factor analysis.

Teaching requirements: Initial understanding of the use of analytical techniques such as stepwise regression, imaginary variables, and factor analysis in what context.

Reflection Questions: Write exercises in Chapter 9 of the textbook.

2. Lu Shuhua, Social Statistics, Peking University Press, 1997

3. Blaylock, Social Statistics, China Social Sciences Press, 1988

4. David K. Hildebrand et al., Methods and Techniques of Social Statistics, Social Sciences Academic Press, June 2005.

Lecture 16: Application of SPSS in Social Statistics (Part I).

Teaching Points: Use SPSS for univariate statistical analysis.

Teaching requirements: Be able to use SPSS to perform statistical analysis of single variables.

Thought Questions: Practice the methods described in this chapter on the computer.

Lecture 17: Application of SPSS in Social Statistics (Part II).

Teaching points: SPSS is used to perform statistical analysis of double variable and multiple variable terms.

Teaching requirements: be able to use SPSS to perform preliminary statistical analysis of double variable and multiple variables.

Thought Questions: Practice the methods described in this chapter on the computer.

Lecture 18 Summary.

Teaching points: the basic context of social statistics, which statistical methods are applicable in which situations.

Teaching requirements: master the basic context of social statistics and the requirements for the use of various statistical methods.

Thought Questions:1Please summarize the structure of social statistics (which can be illustrated).

1.The significance of statistical collation.

Statistical collation is the continuation of statistical survey, but also the premise of statistical analysis, statistical collation is based on the purpose of statistical research, Brother Bi will be the statistical survey obtained by the original data for the scientific summary and synthesis of the dust, so that it is systematic, organized, and become a process that can be used for statistical analysis. It plays a role in the whole process of statistical work.

1) The data from the survey will be reviewed first;

2) grouping or classification as required for statistical purposes;

3) Summarize the indicators of each unit and calculate the necessary processing;

4) Compile the results of the summary into a statistical table;

5) Do a good job of systematic accumulation of statistical data.

1.The basic principles of the Statistics Law are the concentrated reflection of the statistical legal relations adjusted by the Statistics Law, and are the norms that run through the entire statistical legal norms and play a commanding role in various statistical systems and all statistical legal norms. There are mainly the following 5 items:

First, the principle of uniformity of statistical work should be guaranteed;

Second, the principle that statistical institutions perform their duties in accordance with the law;

Third, the principle that the respondents of statistical surveys should fulfill their obligations in accordance with the law;

Fourth, the principle of safeguarding the legitimate rights and interests of statistical survey respondents;

Fifth, the principle of social sharing of statistical information should be guaranteed.

2.The functions and powers of statisticians refer to the rights that statisticians have in a certain organization to undertake statistical work and to complete statistical tasks in order to complete statistical tasks. According to the provisions of the Statistics Law, the functions and powers of statisticians include the following:

First, statisticians have the authority to independently exercise statistical surveys, statistical reports, and statistical supervision in accordance with the provisions of the Statistics Law;

Second, statisticians have the right to request relevant units and personnel to truthfully provide statistical information in accordance with state regulations;

Third, statisticians have the right to check the accuracy of statistical data and request the correction of inaccurate statistical data;

Fourth, statisticians have the right to expose and report illegal acts in statistical survey work.

In addition, statisticians have the right to learn specialized knowledge.

3."Statistical violations" refers to acts in which the perpetrator violates the provisions of the Statistics Law and the statistical system in statistical activities, causing harm to the social relations protected by the Statistics Law. Statistical violations have the following characteristics:

First, statistical violations are socially harmful acts;

Second, the statistical violation is the act of the perpetrator being at fault;

Third, statistical violations are violations of statistical laws.

You just need to find the materials for the Intermediate Statistician Exam.

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1.There are 3 workers in a production group. The number of Nissan parts is 68, 69, 70 respectively, so it is said that this is 1 sign or 1 variable 2

The statistical index is marked with words, and the weight is called the quality index; : Some are expressed in numbers, which are called quantitative indicators. The quantitative index is an index that reflects the level of the total scale of the phenomenon or the total amount of work, also known as the total index, which is generally directly summarized through the quantitative marker value, expressed by an absolute number, and the index value has a unit;

Quality index is a statistical index that reflects the overall relative level or quality of work of the phenomenon, and is divided into relative index and average index, which are expressed by relative number and average number respectively, which are usually derived from the comparison of two total indicators, reflecting the internal relationship and contrast relationship between phenomena. .3. Statistical research on the phenomenon of objective things, focusing on the quantitative characteristics of individuals, rather than studying the quantitative characteristics of the whole thingStatistical study of the quantitative characteristics of objective things, mainly studying the quantitative characteristics of the whole thing.

It is an exponential calculation problem, and x= is calculated, so the amount of goods purchased increases.

Are you sure you're asking the right question?! Because if the reporting period is 5% lower than the base period, then it is said that the reporting period has decreased by 5%, then correspondingly, if the price remains the same, the volume of goods should be reduced! The base period should be negative with the reporting period.

So it should be how much it has been reduced!

"Basic Knowledge of Statistics and Statistical Practice" summarizes the basic knowledge of professional qualifications necessary for engaging in statistics, emphasizes the key contents, and explains the current main statistical policies and industrial policies.

Basic Knowledge of Statistics and Statistical Practice covers all the basic contents stipulated in the syllabus according to the requirements of the "Statistical Qualification Examination Syllabus". In compiling the textbooks, we have given full consideration to the characteristics and knowledge level of the training objects, based on the principle of combining theory and practice, focusing on the understanding of the basic knowledge of statistical theory and the mastery of basic skills in statistical work, and striving to expound the norms, concise, simple and easy to understand. The book is divided into two parts: basic knowledge of statistics and practical statistics.

Compared with 2012, the "2013 Statistical Qualification Examination Syllabus" released by the National Bureau of Statistics has changed some contents. To adapt to this change, and according to the problems found in the teaching practice in 2012, "Basic Knowledge of Statistics and Statistical Practice" has revised part of the content of the original textbook this year, but the chapters are still the same as the original textbook, that is, the basic knowledge of statistics includes: general theory, statistical survey, statistical collation, statistical indicators, time series, statistical index, basic knowledge of sampling survey, basic knowledge of statistical analysis; The Statistical Practice component includes:

Overview of statistical report system, statistical classification and standardization of statistical classification, basic unit statistics, production activity statistics, energy statistics, financial statistics, labor statistics, fixed asset investment statistics.