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EN
Advancing globalization provides access to more information. It also affects the frequency of data. Some events are listed on a monthly, daily and even minute basis. Thus, during the time-space study selecting appropriate and relevant information becomes a problem. The paper presents a suggested solution to this problem based on the example of stock exchanges in Central and Eastern Europe.
EN
The educational and cultural dimension is a multivariate category, characterized by many attributes (e.g. number of students and academic teachers, educational institutions, library readers, library borrowers and visitors to the museums, etc.). This means the possibility of perceiving regions as objects of multidimensional statistical analysis, and ordering them according to a certain criterion. The paper presents the similarities and differences between selected cities of the Lower Silesia region with a population of over 30,000 inhabitants in the educational and cultural scope. For this purpose, a set of diagnostic variables (stimulants and destimulants) was defined. This allowed specifying the most and least differences between the surveyed objects and consequently the order of the cities from the best city to the worst one. Finally, this allowed the creation of the educational and cultural ranking of Lower Silesian cities
EN
The effectiveness and the efficiency of the pension system is a problem that is not frequently mentioned in scientific writing, especially in its praxeological context. The objective of the article is to present the concept of the praxeological approach to assessment of the pension system. The first part of the article presents the objectives of the pension system. In the second part the praxeological approach to the assessment of pension system is discussed. The third part includes the definition and the multidimensional characteristics of the effectiveness and efficiency of the pension system. In the fourth part the concept of the measurement of effectiveness and efficiency with the use of multidimensional statistical analysis is proposed.
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