Employment direction after statistics

Employment direction after statistics: mainly engaged in research and teaching in government statistical departments, economic management departments, banks, securities companies, insurance companies and other financial institutions.

I. Statistics

Statistics is a science about understanding the overall quantitative characteristics and quantitative relations of objective phenomena. It is a methodological science to understand the quantitative regularity of objective phenomena by collecting, sorting out and analyzing statistical data. Because the quantitative research of statistics is objective, accurate and testable, statistical method has become the most important method in empirical research, which is widely used in the analysis and research of nature, society, economy, science and technology and other fields.

Statistics is a very old science. It is generally believed that its theoretical research began in Aristotle's time in ancient Greece and has a history of more than 2300 years. It originated from the study of social and economic problems. In the development process of more than 2,000 years, statistics has experienced at least three stages of development: city-state politics, political arithmetic and statistical analysis science.

Second, the main terms of statistics

1. statistics: the science of collecting, processing, analyzing and interpreting data and drawing conclusions from them.

2. Descriptive statistics: study the statistical methods of data collection, processing and description.

3. inferential statistic: Study the statistical method of how to infer the overall characteristics by using sample data.

4. variable: Every observation will lead to different results of a certain feature.

5. Classified variables: the observation results show a certain type of variables.

6. Rank variable: also known as ordered classification variable, the observation results show some ordered variable.

7. Metric variable: also called quantitative variable, which represents the observation results as numerical variables.

8.mean: Mean is also an average, sometimes especially an arithmetic average. This is the average value calculated by other methods. The solution is to add up all the numbers first and then divide them by the number of numbers. This is a method to measure the concentration trend or average value.

9. Median: choose the middle number. To ask for the median, you need to sort from small to large first. After sorting, see what the middle number is.

10, mode: Mode is the number that appears most frequently in the dataset.