Evaluating the Performance of Physical Fitness by Statistical Inference of Physical Fitness Index

摘要

Improving fitness levels is a key area of preventive medicine and plays an essential role in health promotion. Most organizations, constrained by time, manpower, and cost, conduct fitness tests on a random sample of the population in order to gain an understanding of overall fitness levels. However, a great degree of uncertainty may be introduced into performance assessments owing to sampling errors. Therefore, it is important to take sampling errors into account. For this reason, this article proposes a physical fitness index (PFI) based on 5 components: (1) cardiorespiratory endurance, (2) muscular endurance, (3) muscular strength, (4) flexibility, and (5body composition. Using statistical inference, we further develop a testing model of PFI to evaluate the performance of physical fitness. We hope that the results of our research contribute to the accurate determination of the overall fitness levels of the population and help provide a valuable reference for improving fitness levels. Finally, we present an example to illustrate the applicability of the proposed PFI in practice.