Formation of the Knowledge and Skills to Apply Non-Parametric Methods of Data Analysis in Future Specialists of Physical Education and Sports.

Autor: Byshevets, Nataliia, Iakovenko, Olena, Stepanenko, Olha, Serhiyenko, Kostyantyn, Yukhno, Yuriy, Goncharova, Nataliia, Blazhko, Nataliia, Kolchyn, Mariia, Andriyenko, Hanna, Chyzhevska, Nadiya, Blystiv, Taras
Předmět:
Zdroj: Sport Mont; 2021 Supplement, Vol. 19, p171-175, 5p
Abstrakt: 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 processing 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; actualization 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index