Please use this identifier to cite or link to this item: dspace.pdpu.edu.ua/jspui/handle/123456789/10156
Title: The Formation of Human Movement and Sports Skills in Processing Sports-pedagogical and Biomedical Data in Masters of Sports
Authors: Буховець, Божена Олегівна
Bukhovets, Bozhena Olegivna
Kashuba, Vitaliy Aleksandrovich
Stepanenko, Olha
Byshevets, Nataliia
Kharchuk, Olena
Savliuk, Svitlana
Grygus, Igor
Napierała, Marek
Skaliy, Tetiana
Hagner-Derengowska, Magdalena
Zukow, Walery
Keywords: management
distribution
process
research
statistics
analysis
form
curve
normality
Issue Date: 2020
Publisher: International Journal of Human Movement and Sports Sciences
Citation: Vitaliy Kashuba, Olha Stepanenko, Nataliia Byshevets, Olena Kharchuk, Svitlana Savliuk, Bozhena Bukhovets, Igor Grygus, Marek Napierała, Tetiana Skaliy, Magdalena Hagner-Derengowska, Walery Zukow (2020). The Formation of Human Movement and Sports Skills in Processing Sports-pedagogical and Biomedical Data in Masters of Sports. International Journal of Human Movement and Sports Sciences, 8(5), 249 - 257.
Abstract: Purpose: The urgent task of higher education is the formation of skills of processing sports-pedagogical and biomedical data in masters of physical education and sports. Recently, sufficient attention to the question of verifying the subordination of empirical data to the normal distribution law in biomedical and sports pedagogical studies was not paid. The purpose of the article is to increase the level of theoretical knowledge and practical skills in statistical data processing in masters of physical education and sports by the example of testing the hypothesis about the normal law of distribution of observed values. Methodology: Methods used at studying process are studying, analysis, systematization of scientific and special literature, generalization of scientific, educational and practical experience, pedagogical experiment. Findings: Methodological techniques that ensure the improvement of the quality of mathematics and statistical training of masters in physical education and sports have been highlighted. The use of professionally directed tasks, the presentation of a step-by-step algorithm for solving them along with the automation of computational procedures creates the conditions for the effective assimilation of educational material. There is the scheme of a practical class on the formation of skills to assess the normality of the empirical distribution. Contribution and Recommendation: Mathematical statistics is a powerful tool for studying patterns, and the use of statistical methods in sports-pedagogical and biomedical research ensures the development of sports sciences. It proves the versatility of proposed methods. Thus, this research contributes to all elements, both sports and education.
URI: dspace.pdpu.edu.ua/jspui/handle/123456789/10156
Appears in Collections:Кафедра гімнастики та спортивних єдиноборств

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