Nataliia Byshevets1, Olena Iakovenko1, Olha Stepanenko1, Kostyantyn Serhiyenko1, Yuriy Yukhno1, Nataliia Goncharova1, Nataliia Blazhko1, Mariia Kolchyn1, Hanna Andriyenko1, Nadiya Chyzhevska1, Taras Blystiv2
1National University of Ukraine of Physical Education and Sport, Innovation and Information Technologies in Physical Culture and Sports
Department, Kyiv, Ukraine
2National University of Ukraine of Physical Education and Sport, Kyiv, Department of Health, Fitness and Recreation, Kyiv, Ukraine
Formation of the Knowledge and Skills to Apply Non-Parametric Methods of Data Analysis in Future Specialists of Physical Education and Sports
Sport Mont 2021, 19(S2), 171-175 | DOI: 10.26773/smj.210929
Abstract
Application of information technologies in the process of research in the field of physical education and sport, sports medicine allows to effectively use mathematical and statistical methods in scientific research and teaching. We have highlighted the main stages of practical training aimed at the formation of practical skills in the use of non-parametric methods for estimating and analyzing statistical hypotheses in sports-pedagogical and biomedical research among the students in the field of physical education and sports. It was noted that the role of qualitative statistical process- ing of research results is growing. It is important to form the skills the use of the methods of mathematical statistics of future specialists in various fields. The article presents a systematic process for the formation practical skills and abilities to use non-parametric procedures for statistical analysis of sports pedagogical data on the example of the Mann-Whitney U-test. There are the following stages of the training: announcement of the theme, goals, tasks; actu- alization of core knowledge; formation of theoretical skills. Article contains stages the presentation of the algorithm for the comparative analysis of independent sample data that does not follow the normal distribution law. It is shown calculation of a working example of the Mann-Whitney U-test using MS Excel in group using a interactive whiteboard with a detailed explanation of the steps; individual solving of the practical tasks; knowledge check.
Keywords
formation, research, statistics, analysis, criterion, law, distribution
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