Journal Published Online: 19 March 2018
Volume 46, Issue 4

A Novel Approach to Evaluating the Performance of Physical Fitness by Combining Statistical Inference with the Radar Chart

CODEN: JTEVAB

Abstract

Physical fitness is a measure of an individual’s ability to perform physical tasks and has a significant influence on health. Thus, improving a person’s fitness level has become a vital issue in preventive medicine in many developed countries today. However, a considerable amount of research employs secondary data or random samples for the assessment of physical fitness performance. Thus, the means of efficiently and objectively evaluating physical fitness performance has become a topic of concern. Thus, this study employed the physical fitness index (PFI) established by Lin, Chang, and Chen [1] as an evaluation tool and used it as a naive estimator to estimate specific domains of fitness. Because of the uncertainty in performance assessments associated with sampling error, we derived the 100(1−α)% confidence interval of the PFI by statistical inference to serve as the assessment criteria. Furthermore, to effectively increase management efficiency, we further integrated the confidence interval into a radar chart with a pentagon shape to evaluate the performance of each fitness component simultaneously. Finally, we present an illustrative example demonstrating the applicability of the proposed assessment approach.

Author Information

Lin, Yun-Tsan
Department of Leisure Industry Management, National Chin-Yi University of Technology, Taichung, Taiping District, Taiwan, R.O.C.
Chang, Tsang-Chuan
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung, Taiping District, Taiwan, R.O.C.
Chen, Kuen-Suan
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung, Taiping District, Taiwan, R.O.C.
Pages: 10
Price: $25.00
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Stock #: JTE20170268
ISSN: 0090-3973
DOI: 10.1520/JTE20170268