СТАТИСТИЧНА ОБРОБКА ТА АНАЛІЗ РЕЗУЛЬТАТІВ ЕКСПЕРИМЕНТАЛЬНОЇ РОБОТИ З ФОРМУВАННЯ КОНКУРЕНТОСПРОМОЖНОСТІ МАЙБУТНЬОГО ФАХІВЦЯ МУНІЦИПАЛЬНОЇ ЕКОНОМІКИ

Анотація

The article focuses on statistical processing and analysis of the results of the experimental work on forming competitiveness of the future professional of municipal economy. A review of the scientific literature on the issues of training various components of competitiveness of the future professional is presented.The author informs that in order to test the hypothesis about the effectiveness of the scientific system for forming the competitiveness of future professionals of municipal economy it was necessary to identify the quantitative and qualitative changes in the components of this phenomenon for the students of the experimental and control groups using the suggested criteria, namely, motivation for success / failure, the need for achievements, professional competences, foreign language competence, adaptability, creativity, autonomy, risk-taking, social skills and reflexivity. The characteristics for each of the levels of competitiveness formation, namely, high, medium and low, are determined.Information is provided that in order to confirm the reliability of the results of the experiment, the methods of mathematical statistics were used. In particular, a statistical analysis of the integrated data of the experiment were analyzed using descriptive statistics, namely, the arithmetic mean, the sample variance and the sample standard deviation of the levels of competitiveness formation for future professionals of municipal economy.It is mentioned that testing the hypothesis on increasing the levels of generalized indices in the experimental group was made using the Student’s criterion but in order to confirm the significance of the statistical conclusions, the Fisher’s criterion was applied.Summarizing the overall results of the experimental work and the statistical processing, the author concludes that the results obtained show a significant positive change in dynamics of all the criteria of competitiveness formation, indicating the effectiveness of the experimentally tested scientific system. The results of the experiment are statistically significant according to the presented calculations made using the methods of mathematical statistics.

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