What kind of major does statistics belong to?
Statistics major belongs to the category of statistics under the category of Neo-Confucianism. Statistics is a comprehensive science that infers the nature of the tested object and then predicts the future of the tested object by searching, sorting, analyzing and describing the data. Statistics uses a lot of professional knowledge in mathematics and other disciplines, and its application covers almost all fields of social science and natural science.
Statistics major is a branch of applied mathematics, which mainly uses probability theory to establish mathematical models, collect observed system data, make quantitative analysis, summary, inference and prediction, and provide basis and reference for relevant decision-making.
Statistics is widely used in various disciplines, from physics, social sciences to humanities, and even in industrial and commercial and government information decision-making. With the rapid development of digitalization, more and more people hope to summarize some empirical laws from a large number of data, and provide some basis for future decision-making. The major of statistics is not only superficial literal expression, but also statistics, including investigation, collection, analysis and prediction. It is widely used.
What are the main courses of statistics?
Basic courses of statistics: probability statistics, mathematical analysis, advanced algebra, ordinary differential equations, complex variable functions, real variable functions, mathematical physical equations, mathematical experiments, mathematical models, mathematical methodology, general physics, linear programming, etc.
Statistics major courses: mathematical statistics, multivariate statistical analysis, time series analysis, applied stochastic process, statistical calculation, nonparametric statistics and other courses.
Elective courses of statistics major: statistical foundation, interest theory, applied statistical software, computational finance, risk theory, financial mathematics, fuzzy mathematics, experimental design, introduction to linear model, sampling survey and data analysis theory, statistical analysis of qualitative data, actuarial science, reliability statistics and survival analysis, nonlinear programming, life insurance actuarial practice, measurement theory, preliminary random analysis, etc.
Practical courses of statistics major: professional cognitive practice, mathematical practice, actuarial practice, sampling survey and data analysis practice, graduation practice and thesis.