At present, there are only few tools on the evaluation of group physical fitness. Hung proposed physical fitness indices based on the process capability indices (PCI) to assess physical fitness level. PCI are appropriate indices for the data with normal distribution, but have been shown to be inappropriate for evaluation with non-normal distribution. Based on this limitation, we extending non-normal distribution method of PCI to physical fitness indices to cover cases where the distribution may not be normal distribution. In the paper, we present a case study to illustrate how the non-normal physical fitness indices applied to actual data collected from physical fitness test. At present, there are only few tools on the evaluation of group physical fitness. Hung proposed physical fitness indices based on the process capability indices (PCI) to assess physical fitness level. PCI are appropriate indices for the data with normal distribution, but have been shown to be inappropriate for evaluation with non-normal distribution. Based on this limitation, we extending non-normal distribution method of PCI to physical fitness indices to cover cases where the distribution may not be normal distribution. In the paper, we present a case study to illustrate how the non-normal physical fitness indices applied to actual data collected from physical fitness test.
Relation:
Journal of Information and Optimization Science,32(1),245-254.
