Research on changes in physical measurement data of ordinary high school students during the COVID-19 pandemic based on big data analysis technology

Yanlong Chen; Wenlin Yao; Delun Liao

doi:10.1117/12.2671950

28 March 2023 Research on changes in physical measurement data of ordinary high school students during the COVID-19 pandemic based on big data analysis technology

Yanlong Chen, Wenlin Yao, Delun Liao

Author Affiliations +

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125971X (2023) https://doi.org/10.1117/12.2671950
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

The multiple comparison method refers to the hypothesis test of whether there is a significant difference between the means of each sample after the analysis of variance is performed on the samples of each group to be tested. In data analysis, the multiple comparison method can perform a more precise difference analysis based on the analysis of variance. Therefore, this study will select the LSD (Least Significant Difference) test method in the multiple comparison method to analyze the physical fitness test scores of males and females in the three grades from 2019 to 2021 in the investigated schools. In this way, we can understand the substantial impact of students' home-based learning on students' physical health during the new crown epidemic, so as to make targeted development plans for students' physical health in the current special period and minimize the adverse impact of the new crown epidemic on students' physical health.

Citation Download Citation

Yanlong Chen, Wenlin Yao, and Delun Liao "Research on changes in physical measurement data of ordinary high school students during the COVID-19 pandemic based on big data analysis technology", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125971X (28 March 2023); https://doi.org/10.1117/12.2671950

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