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

dc.contributor.authorByshevets Nataliia
dc.contributor.authorDenysova Lolita
dc.contributor.authorShynkaruk Oksana
dc.contributor.authorSerhiyenko Kostyantyn
dc.contributor.authorUsychenko Vitaly
dc.contributor.authorStepanenko Olha
dc.contributor.authorSyvash Iryna
dc.date.accessioned2020-01-15T07:57:50Z
dc.date.available2020-01-15T07:57:50Z
dc.date.issued2019-05-31
dc.descriptionByshevets N. Using the methods of mathematical statistics in sports and educational research of masters in physical education and sport / N. Byshevets, L. Denysova, O. Shynkaruk, K. Serhiyenko, V. Usychenko, O. Stepanenko, I. Syvash // Journal of Physical Education and Sport (JPES). - 2019. - Vol. 19. - P. 1030-1034.uk_UA
dc.description.abstractSport 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.identifier.otherDOI:10.7752/jpes.2019.s3148
dc.identifier.udkhttp://reposit.uni-sport.edu.ua/handle/787878787/2203
dc.language.isoenuk_UA
dc.subjectanalysisuk_UA
dc.subjectsampleuk_UA
dc.subjectcriterionuk_UA
dc.subjectcomparinguk_UA
dc.subjectcomputerizationuk_UA
dc.subjectcalculationsuk_UA
dc.titleUsing the methods of mathematical statistics in sports and educational research of masters in physical education and sportuk_UA
dc.typeArticleuk_UA

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