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Using the methods of mathematical statistics in sports and educational research of masters in physical education and sport

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dc.contributor.author Byshevets Nataliia
dc.contributor.author Denysova Lolita
dc.contributor.author Shynkaruk Oksana
dc.contributor.author Serhiyenko Konstantin
dc.contributor.author Usychenko Vitaly
dc.contributor.author Stepanenko Olha
dc.contributor.author Syvash Iryna
dc.date.accessioned 2019-12-02T13:44:43Z
dc.date.available 2019-12-02T13:44:43Z
dc.date.issued 2019-05-31
dc.identifier.issn 2247 - 806X
dc.identifier.uri http://reposit.uni-sport.edu.ua/handle/787878787/2045
dc.description Using the methods of mathematical statistics in sports and educational research of masters in physical education and sport / Nataliia Byshevets, Lolita Denysova, Oksana Shynkaruk, Konstantin Serhiyenko, Vitaly Usychenko, Olha Stepanenko, Iryna Syvash // Journal of Physical Education and Sport (JPES). – 2019. – Vol. 19, supp. iss. 3, аrt. 14. – Р. 1030-1034. uk_UA
dc.description.abstract and pedagogical researches provide for statistical analysis of observation results. More stringent conditions are put forward to the training of future masters in physical education and sport, including the ability to quickly respond to challenges, systematically expand knowledge, and perform complex calculations. It envisages the availability of skills to use information technology to computerize the process of statistical calculations. Multifunctional criteria, in particular the φ Fisher criterion, deserve special attention, since they can be used to solve various tasks. The purpose of the article is to justify the universality of the using Fisher's φ-criterion in scientific research in physical culture and sports. Material and methods. Methods using at studying process are studying, analysis, systematization of scientific and special literature, generalization of scientific, educational and practical experience. Results. Scientists often have to deal with questionnaire data, represented at nominative scale, in sports and pedagogical scientific research. In other cases, researchers have to relate samples for particle size with certain features. Comparative analysis of sample data for feature, which is measured at nominative scale, for feature, which is measured in quantitive scale or for feature distribution in quantitive scale, can be done using Fisher's angle criterion. It is possible to simplify analysis process for researchers in the field of physical culture and sport due to programming product MS Excel. Article contains examples of use an F-test for analysis of sports and pedagogical data. Conclusions. Analysis of experimental results in the field of physical culture and sport have to computerize using MS Excel. uk_UA
dc.language.iso en uk_UA
dc.subject analysis uk_UA
dc.subject sample uk_UA
dc.subject criterion uk_UA
dc.subject comparing uk_UA
dc.subject computerization uk_UA
dc.subject calculations uk_UA
dc.title Using the methods of mathematical statistics in sports and educational research of masters in physical education and sport uk_UA
dc.type Article uk_UA


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