STATISTICAL ASPECTS OF THE STUDY OF THE DYNAMICS OF INDUSTRIAL ENTERPRISES DEVELOPMENT

Анотація

The article presents practical aspects of statistical research of the dynamics of development of industrial enterprises. It is determined that the main task of a statistical study of industrial enterprises is to determine the volume of industrial production, its structure; analysis of plan implementation by volume and assortment, grade, completeness, rhythm; identification of additional reserves. It is proved that in order to raise the level of industrial production statistics in Ukraine, it is necessary to make certain changes in the proportions of individual industries, and they should be consistent and interrelated. The study found that the main factors of industrial recovery will be: a gradual improvement in the situation on world markets, the resumption of production in certain sectors of the economy, improvement of the financial condition of enterprises, as well as an increase in investment and consumer demand. The following mathematical and statistical methods are used depending on the purpose of the statistical study and the nature of the source data: 1) mathematical methods of quantitative characterization of relationships: correlation and regression analysis; operations research and queuing theory; economic cybernetics; classical methods of elementary mathematics; simulation modeling; functionally hierarchical (forecast scenarios); methods of structural analogy; method of expert estimates; 2) statistical methods of quantitative characterization of relationships: analysis of variance; correlation analysis; method of analytical groupings; rank correlation; complex statistical coefficients; statistical equations of dependencies; statistical indices; indicators of dynamics analysis. When choosing statistical methods for studying socio-economic phenomena, it is necessary to take into account their interconnectedness and interdependence. Any phenomenon is the result of a certain set of causes and is the cause of other phenomena and processes. Therefore, the statistical study of the interrelationships of economic phenomena and processes should be approached comprehensively, trying to classify a wide range of methods that allow them to be quantified.

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