Keyword: «statistical analysis»

The article reveals the statistical analysis of housing construction in the regional context, by comparing the individual category in the Bryansk, Orel, Smolensk regions to the average for Russia in terms of prices, housing area per 1000 inhabitants in the region.

In the summer of 2018 in Rostov-on-Don the matches of the World Cup 2018 will be held. To participate in the matches, they will be viewed and broadcasted by tens of thousands of people who are distributed to different client groups. In addition to the guests, it is necessary to transport passengers from Rostov-on-Don. FIFA puts forward special requirements for the design of buses. The statistical analysis of the bus fleet of the Rostov region for the period from 2015 to 2017 is presented in the article: the number, the period of operation, the share of buses in the transport structure.

The article provides a statistical analysis of the costs of innovation in the Russian Federation in accordance with the data of the Federal state statistics service, and performs a forecasting process using a multiple regression equation.

The article analyzes the socio-economic processes in the Kabardino-Balkarian Republic in 2024. Data on industrial production, housing construction, GRP and agricultural production are considered. Special attention is paid to measures to support small and medium-sized businesses and the implementation of social programs. The importance of statistical research for the formation of regional development strategies is noted. The emphasis is placed on an integrated approach to solving social and economic problems.

The article presents a comprehensive analysis of methodological approaches to the study of factors that ensure life satisfaction for older people. The necessity of integrating systemic, life and resource approaches in the development of empirical research design is substantiated. The criteria for sampling, procedures for selecting psychodiagnostic tools, and strategies for statistical data processing are described. Special attention is paid to the operationalization of key constructs: life satisfaction, time perspective, and perceived social support. The advantages and limitations of cross-sectional design, self-reporting techniques, and online data collection format are analyzed. Recommendations for improving the methodology through the use of longitudinal strategies, mixed methods and multilevel modeling are presented. The materials of the article can be used by researchers in the field of gerontopsychology and specialists developing psychological support programs for the elderly.