This article mainly introduces: the basic concepts of statistics, data collection, data description, regression and classification, and multivariate analysis. Among them, regression, classification and multivariate analysis are the key points of learning. Other concepts in statistics such as probability and distribution, parameter estimation, and hypothesis testing belong to the content of classic statistics, which are omitted here. Time series analysis and index are financial applications, and they are also omitted. If necessary, please Check out related books.
Reference books:
Jia Junping. "Statistics". Sixth Edition
Wang Xizhi. "Statistics: From Data to Conclusion". Fourth Edition
1. Basic concepts of statistics
Statistics: The science of collecting, processing, analyzing, interpreting data and drawing conclusions from it.
Data analysis methods can be divided into descriptive statistics and inferential statistics.
Note: For categorical variables such as "industry", its variable value can be "retail industry", "tourism", "automobile manufacturing"; for sequential variables such as "product level", its variable value can be "first class", " "Second-class product" and "defective product". Categorical variables and ordinal variables can be called qualitative variables and attribute variables.