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What are the methods of statistical analysis

Statistical analysis methods are as follows:

I. Indicator comparative analysis method? Comparative analysis of indicators, also known as comparative analysis, is the most commonly used method of statistical analysis. It is through the comparison of the relevant indicators to reflect the quantitative differences and changes in the method. Comparison is the only way to identify.

Second, grouping analysis method of comparative analysis of indicators is the overall comparison, but the composition of the overall statistical units have a variety of characteristics, which makes the units within the same overall scope of the many differences between the statistical analysis of not only the overall quantitative characteristics and quantitative relationships to analyze, but also to go deeper into the overall internal grouping analysis.

Three, time series and dynamic analysis of time series. Is the same indicator in time change and development of a series of values, according to the time sequence order, the formation of time series, also known as dynamic series.

Four, the index analysis method is to reflect the relative number of changes in socio-economic phenomena.

Fifth, equilibrium analysis equilibrium analysis is the study of social and economic phenomena of quantitative changes in the relationship between a method.

Sixth, comprehensive evaluation analysis of social and economic analysis of social and economic analysis of phenomena is often intricate and complex, social and economic performance is the result of the combined effect of a variety of factors, and the direction of change and the degree of change of each factor is different.

VII, boom analysis of economic fluctuations is objective, is difficult to avoid completely in any country.

VIII, forecasting analysis of macroeconomic decision-making and microeconomic decision-making, not only need to understand the economic operation has occurred in the actual situation, but also more need to foresee what will happen in the future.