Importance of statistics: The world is rapidly entering the information age, and everything can be quantified and analyzed. However, data is only the most primitive form of knowledge, and it is meaningful only through collation. With statistics, there is no unbreakable password in the world. Under the condition of market economy, economic and social development is more complicated and changes rapidly, and it is more necessary to provide statistical data and timely information on development and changes. Decisions in the era of big data will be made more and more based on data and analysis, and data must be used to speak.
Statistics major is a subject based on mathematics, with randomness as the core and data analysis as the embodiment. It mainly uses probability theory to establish mathematical model, collect data of observation system, make quantitative analysis and summary, make inference and prediction, and provide basis and reference for relevant decision-making.
It 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 acceleration of digital process, people are increasingly hoping to summarize some empirical laws from a large number of data, thus providing some basis for later decision-making. Statistics major is not just a literal expression, but statistics, which includes investigation, collection, analysis and prediction. It has a wide range of applications.
Statistics:
The learning courses of statistics include mathematical analysis, geometric algebra, mathematical experiments, ordinary differential equations, complex variable functions, real variables and functionals, probability theory, mathematical statistics, sampling surveys, random processes, multivariate statistics, computer application foundation, programming languages, data analysis and statistical software, regression analysis, reliability mathematics, experimental design and quality control, econometrics, economic forecasting and decision-making, financial mathematics, and securities investment.
Statistics mainly uses a large number of data for quantitative analysis, summarizes some empirical laws, and makes inferences and predictions in the later period, thus providing basis and reference for relevant decision-making. It is not only statistics, but also investigation, collection, analysis and prediction, and its application range is very wide.