2015-08-21
867
Statistical data and requirements to it. The plan of statistical observation. Program, methodological and organizational aspects of the plan. Types of observations depending on the degree of coverage of primary population and on the mean time of recording the facts. Organizational forms of statistical observation. Statistical registers. Methods of observation. Statistical monitoring. Statistics of sociological observation. Errors of observation, data controll.
Theme 3: Combining and grouping of statistical data
The essence of statistical grouping as a method of organizing of statistical data, its task. Classification and grouping. Statistical classificators. Key economic classificators. Statistical codes. The task and the types of statistical groupings. Structural, typological and analytical grouping. The principles of the interval of groups. Simple and combinational grouping.
Theme 4: Presentation of statistical data: tables, graphs, maps
Statistical tables, types and rules of their construction. The role of graphs in the analysis of socio-economic phenomena. Key elements of statistical graphs. Types of statistical graphs.
Theme 5: Generalizing statistical indicators
Essence and analytical role of statistical indicators. Types of statistical indicators depending on the degree and time of registration and on the purpose of calculation. Absolute statistical values, units of their measurement. Relative values, their forms of expression and types depending on analytic functions. Mean values, their types and terms of scientific applications. Arithmetic mean, its basic features. Harmonic mean. The terms of usage of chronological and geometric mean.
Theme 6: Analysis of rows of distribution
Rows of distribution as an information base of measuring of patterns of distribution. Types of rows of distribution and their frequency analysis. Features of distribution center: mean, mode, median, their relations. Quantile distribution: quartile, decile, quintile. Their role in the analysis of patterns of distribution.
Measuring of variations of characteristics. Absolute measures of variation: the range of variation, the mean linear and standard deviations. Coefficients of variation, their role in the statistical analysis. Features of forms of distribution: symmetry and kurtosis.
