1. Descriptive statistics: This is the most basic statistical method used to describe and summarize the main features of data. Including calculating average, median, mode, standard deviation, variance, etc.
2. inferential statistic: This method is used to infer the characteristics of the population from the sample data. Including hypothesis testing, confidence interval estimation, regression analysis, etc.
3. Correlation analysis: This method is used to study the relationship between two or more variables. Include Pearson correlation coefficient, spearman rank correlation coefficient, etc.
4. Factor analysis: This method is used to find out the same factors that affect the data change.
5. Cluster analysis: This method is used to group similar objects together.
6. Principal component analysis: This method is used to reduce the dimension of data while retaining most information.
7. Time series analysis: This method is used to study the changing trend of data with time.
8. Survival analysis: This method is used to study the time and reason of the event.
9. Bayesian statistics: This method is used to deal with uncertainty problems, and the results are inferred through prior probability and posterior probability.
10. nonparametric statistics: this method does not depend on the distribution type of data, and is suitable for all types of data.
In practical application, these methods are often combined to obtain more accurate results. In data statistics, it is necessary to choose appropriate statistical methods according to the purpose of research and the characteristics of data.