The paper deals with one of problems of universities education -with problem of admission process. The classical entrance examinations, common in the last years, were nowadays substituted by modern method -by learning potential tests (LPT). The question whether it is possible to forecast the study results on the base of the LPT results arises at this moment. Two samples of students are analysed in this paper, students who were admitted in the years 2010 and 2011. The relation between study results and results of LPT provided by the private company Scio is analysed in this paper. The hypothesis, that the better results in learning potential test are the warranty of better study results at the university, was examined. To verify this hypothesis both correlation and regression analysis were used. The insignificant correlation was detected between results in learning potential test and study results. Similarly the regression coefficient had value close to zero. The relevant dependence between the learning potential test and study results haven´t been demonstrated and the hypothesis showed to be quite incorrect.

The main limitation of many statistical methods lies in the fact that they usually require fulfilments of many different assumptions that cannot often be verified. This problem arises frequently in analysis of time series, too. In this case it is helpful to use bootstrap methods. This paper deals with the application of the bootstrap method to the Box-Jenkins methodology for reduction of bias. Several methods of nonparametric boot-strap for a bias-reduced estimate of the autoregressive parameters of AR(1) and AR(2) are presented in this paper : covering model oriented bootstrap, overlapping moving blocks and not-overlapping moving blocks. A comparison of the results of the classical and resampling methods is performed for the premium written time series.

Article presents the results of testing managers’ behavior and response towards business environment. The study develops ideas how to extend current management theory with behavioral approach. Research method is based on in-depth empirical qualitative analysis, results are subject of quantitative verification using statistical methods which allows reaching better results. Research proceeds inductively, it means that new knowledge is generated as outcome and matched to theories. Decisions are examined as responses towards business environment components, correlations and significances between active or passive managers’ behavior are demonstrated. Proactive managerial approach is characterized by frequent change and diversification in suppliers, customers, human resources and product portfolio. As a conclusion, managerial response can be interpreted as a product of managers’ activity, personal preferences and abilities. The re-orientation towards recognition of active or passive behavior is developed and matched towards current theories. It can be assumed, that the current scientific discussion is potentially relevant in seeking to explain the role of individual manager. In summary, the analysis and the outcomes have proved managers’ exceptional flexibility in counteracting actively the shortcomings of external context.