Paper
28 March 2023 Research on the evaluation of special quality characteristics of excellent youth female volleyball athletes in China combined with data analysis and statistics
Ning Li
Author Affiliations +
Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125971T (2023) https://doi.org/10.1117/12.2672165
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
According to the testing data for physical fitness of the national excellent youth female volleyball athletes who participated in the "National Excellent Youth Female Volleyball Training" from 2012 to 2019, the effective testing data for physical fitness of the national excellent youth female volleyball players from 2012 to 2019 were divided into groups in each year and each special position by means of information technology. Establish database based on the average number, standard deviation, minimum, maximum, sample size and other statics of reach jump(cm), standing long jump(cm), 30 meters’ running(s), “Mi” shape movement(s), solid ball throwing (cm), and 800 meters’ running (s), all together six indicators. In the meanwhile, this paper makes arrangement and comparison for the average number of the six physical indicators of female volleyball athletes in the years and groups by Excel software, analyzes the advantages and disadvantages of physical quality of volleyball athletes systematically, reveals the physical characteristics of high-level reserved female volleyball talents, and provides theoretical basis for the reasonable selection of adolescent athletes as well as the improvement of the success rate of high-level reserved female volleyball talents and scientific training in the process of it.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Li "Research on the evaluation of special quality characteristics of excellent youth female volleyball athletes in China combined with data analysis and statistics", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125971T (28 March 2023); https://doi.org/10.1117/12.2672165
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KEYWORDS
Education and training

Solids

Statistical analysis

Data analysis

Databases

Motion analysis

Information technology

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