People who study statistics will introduce what statistics does

The statistician exam is not difficult, you can take the exam if you meet the conditions, this is too inaccurate, because everyone's situation is different, registration conditions:

To register for the primary and intermediate qualification examinations for statistics majors, the following basic conditions should be met:

1) Support the basic line of the Communist Party of China in the initial stage of socialism, and abide by discipline and law.

2) Love statistical work, be able to perform job responsibilities, complete their own work tasks, and abide by professional ethics.

2. Those who register for the primary qualification examination for statistics must also have a high school diploma or above.

According to the spirit of the document "Notice on the Arrangement of Qualification Examinations for Some Professional and Technical Personnel and Issues Related to the Examination Work" (Guoren Ting Fa 2004 No. 45) issued by the General Office of the Ministry of Personnel, fresh graduates who participate in the primary qualification examination for statistics majors this year must register at the registration point with valid certificates (such as student cards, etc.) that can prove that they can graduate in the examination year and the graduation certificate issued by the school.

3. Those who register for the intermediate qualification examination for statistics must also meet one of the following conditions:

1) Graduated from a college degree and engaged in professional work for six years;Graduated from university with a bachelor's degree and worked professionally for four years.

2) Obtained a second bachelor's degree or completed a postgraduate course, and have been engaged in professional work for at least two years.

3) Obtain a master's degree and have been engaged in professional work for one year;Received a Ph.D. degree.

4) Before the implementation of the qualification examination system, those who have held professional and technical positions as statisticians can also participate in the intermediate qualification examination for statistics if they meet the requirements specified in the basic conditions in Article 1 above.

4. The requirements for academic qualifications in the registration conditions refer to the formal academic qualifications recognized by the national education department, and the requirements for the number of years of professional work refer to the total working hours of the applicants before and after obtaining the academic qualifications, and the deadline is the end of 2005.

5 According to the spirit of the Ministry of Personnel's Notice on Issues Concerning the Participation of Hong Kong and Macao Residents in the Professional and Technical Personnel Qualification Examinations Held in the Mainland (Guoren Bu Fa No. 9, 2005), starting from 2005, all Hong Kong and Macao residents who meet the relevant regulations of the statistical professional and technical qualification examinations can register for the corresponding professional examinations in accordance with the prescribed procedures and requirements.

It's not very difficult. Depending on the school you choose, you will have different requirements for mathematics.

Most universities classify statistics as economics, and the requirements for mathematics are the same as those for general engineering, which is not difficult. A small number of universities classify statistics as mathematics, which has higher requirements for mathematics, but is not as difficult as applied mathematics.

The statistician certificate can generally be taken after graduating from the bachelor's degree.

This major cultivates innovative talents who have systematic theoretical knowledge and application skills of statistics, master the main methods of statistics and related computer technology, have the ability to deal with data problems in specific industries, and can engage in data collection, analysis and decision-making in economics, management, finance, insurance, business, information technology, education, environment, medicine and other related fields.

Statistics mainly uses a large amount of data for quantitative analysis, summarizes some empirical rules, and makes later inferences and inferences, so as to provide basis and reference for relevant decision-making, which is not only statistics, but also includes investigation, collection, analysis, etc., and has a wide range of applications.

The English word statistics originated from the modern Latin statisticum collegium (parliament), the Italian statista (national or statesman), and the German statistik, and was first used by Gottfried Achenwall in 1749.

It is the science of analyzing the data of the country, that is, "the science of studying the country". In the nineteenth century, statistics became the most important science in a wide range of data and sources, and was introduced to the English-speaking world by John Sinclair.

School of Social Statistics

Produced in the second half of the 19th century, the founder was the German economist and statistician Könis, and the main representatives were Engel, Meier and others. They fused the views of the national school and the political arithmetic school, and developed along the lines of Kettler's "dusty basic statistical theory", but in terms of the nature of the discipline, they considered statistics to be a social science.

It is a substantive science that studies the causes and regularities of changes in social phenomena, as opposed to the general methods of mathematical statistics. In terms of the research object, the school of social statistics believes that statistics is a research entity rather than an individual phenomenon, and believes that due to the complexity and integrity of social phenomena, it is necessary to conduct a large number of observations and analyses on the whole, and study their internal relationships, so as to reveal the internal laws of phenomena.

Here's what statistics does

Statistics is a comprehensive science that uses means such as searching, sorting, analyzing, and describing data to infer the essence of the measured object and even the future of the object. Statistics uses a great deal of expertise in mathematics and other disciplines, and its application covers almost all fields of the social and natural sciences.

Statistics originated from the modern Latin statisticum collegium (parliament), the Italian statista (national or statesman) and the German statistik, and was first used by Gottfried Achenwall in 1749 to represent the study of analyzing the data of the state, that is, "the science of the state". In the nineteenth century, statistics became the most important in a wide range of data and sources, and was introduced to the English-speaking world by John Sinclair.

Statistics is a very old science, and it is generally believed that its theoretical research began in the time of Aristotle in ancient Greece and has a history of more than 2,300 years. It originated from the study of social and economic problems, and in the course of more than 2,000 years of development, statistics has gone through at least three stages of development: "city-state political situation", "political arithmetic" and "statistical analysis science". The so-called "mathematical statistics" is not a new discipline independent of statistics.

To be precise, it is a comprehensive term for all the new methods of collecting and analyzing data that statistics have developed in the third stage of development. Probability theory is the theoretical basis of mathematical statistical methods, but it does not belong to the category of statistics, but belongs to the category of mathematics.

Application]: the size of the shoe;

settings of the computer keyboard;

The distance between the two armrests of the chair.

Introduction]: The word statistics originated from the national situation survey, and the earliest meaning was national situation. In general, statistics have three meanings:

Statistical work, statistics and statistical science. The relationship between statistical work, statistical data, and statistical science is that the results of statistical work are statistical data, and the basis of statistical data and statistical science is statistical work, and statistical science is not only a theoretical summary of statistical work experience, but also a principle, principle, and method guiding statistical work.

Etymology: The term statistics eventually became the modern Latin statisticum collegium (parliament) and the Italian statista (national or statesman). The German word statistik, first used by Gottfried Achenwall (1749), stands for the study of the analysis of national sources, that is, "the science of studying the state".

In the nineteenth century, statistics was a broad collection of data for those who blindly pretend to be the first and the most important in the data.

Calculation Methods]: Mean, Median, Mode, Normal Distribution, Sampling, Standard Deviation, Probability Theory, Test, ANOVA, Chi-square Test.

Statistics mainly through the use of a large number of data for quantitative analysis, the rise of the guess front to summarize some empirical rules, to make late inferences and noisy, so as to provide a basis and reference for relevant decision-making, it is not only statistics, mega band also includes investigation, collection, analysis, etc., the application range is very wide.

Statistics is a discipline that studies and studies the laws of random phenomena (uncertain phenomena). Random phenomena are widely found in nature, human social activities, and scientific experiments, and it usually has three basic properties: repeatability; Uncertain; Statistical regularity.

Curriculum system: "C C++ Programming", "Mathematical Statistics", "Insurance Accounting", "Elementary Number Theory", "Applied Multivariate Statistical Analysis", "Introduction to Statistics", "Financial Modeling", "Risk Theory Analysis", "Complex Variants and Integral Transformations", "Macroeconomic Statistical Analysis". Some colleges and universities are trained in the following professional directions:

Actuarial Science, Financial Statistics, Data Engineering, Big Data Analysis and Application, Market Research and Data Analysis.

Employment direction: insurance enterprises: actuarial and business statistics; Market research enterprises: data analysis, market research; All kinds of enterprises: consulting, research, economic analysis, data analysis.