INSON KAPITALI SIFATINI BAHOLASHNING STATISTIK ASOSLARI

This article examines the statistical foundations for assessing human capital quality, a system of indicators characterizing it, and the possibilities of using statistical analysis methods. The importance of indicators such as education level, professional qualifications, public health, employment, labor productivity, and digital skills in assessing the quality of human capital is substantiated. Issues regarding the use of methods such as statistical grouping, the index method, comparative analysis, and correlation-regression analysis in determining the state and development trends of human capital are also considered. A comprehensive statistical assessment of human capital is important for a deep analysis of economic development processes, identifying existing problems, and making effective management decisions in the fields of education, employment, and innovation.

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