The Formation of Human Movement and Sports Skills in Processing Sports-pedagogical and Biomedical Data in Masters of Sports

TLDR

Recently, sufficient attention to verifying whether empirical data in biomedical and sports‑pedagogical studies follow the normal distribution law has been lacking. The study aims to enhance theoretical knowledge and practical skills in statistical data processing for masters of physical education and sports by testing the hypothesis that observed values follow a normal distribution. The authors employ literature review, analysis, systematization, pedagogical experiments, professionally directed tasks, a step‑by‑step algorithm, and automated computational procedures, including a practical class scheme, to teach assessment of normality. The research identifies methodological techniques that improve mathematics and statistical training, demonstrates the versatility of the proposed methods, and shows that applying statistical tools in sports‑pedagogical and biomedical research advances sports sciences and benefits both sports and education.

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.