ASIA unversity:Item 310904400/18340
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21673791      Online Users : 419
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18340


    Title: Physical Fitness Indices for Data with Non-normal Distribution
    Authors: 許昌賢;Hsu, Chang-Hsien;Chang-Hung Hung
    Contributors: 經營管理學系
    Keywords: physical fitness indices;non-normal fitness indices;process capability indices;normal distribution;non-normal distribution
    Date: 2011
    Issue Date: 2012-11-26 04:47:26 (UTC+0)
    Abstract: 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.
    Appears in Collections:[Department of Business Administration] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML315View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback