A Study of Non-mechanical Circular Training for The Physical Improvement

• Main Authors: Chang-Tzo Chen, 陳昌宗
• Other Authors: Chin-Yuan Hsieh
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/90049938855513249575

碩士 === 高苑科技大學 === 資訊科技應用研究所 === 101 === In this paper we study the analysis of the physical improvement by the four-week non-mechanical circular training. The scores come from forty students of The Water Mechanical Expertise Class 86 in Navy Underwater Operation Unit (Navy U.O.U). Three training items of four-week grades include push-up, sit-up and 3000-meter running. From the calculation their average of age, college degree, height, the weight and BMI value are 23.65(±1.42), 85%, 171.95cm(±5.22), 68kg(±8.25) and 23.15, respectively. From the statistical analyses of the t-test, one way analysis of variance (ANOVA) and multiple line regression analysis with significance level of 0.05 by the SPSS of Windows 18.0, the grades of push-up, sit-up and 3000-meter running between the first week and the fourth week show the high correlation trend with correlation coefficient of .761, .81 and .869 respectively. It shows that the physical training of push-up, sit-up and 3000-meter running is efficient. The improvement rates of the score in push-up, sit-up and 3000-meter running are 23.2%, 21.4% and 9.6% with significance level of less than 0.01 (p-value < .01) respectively Secondly, from the ANOVA analysis, the F-values of push-up, and 3000-meter running are 8.799, 5.152 and 11.305 with p-value less than 0.01. It shows that the average scores among four weeks have the significant deviation. From the multiple linear regression analysis, the linear regression equation of puch-up is Z ̂_y=.121ZX1+.419ZX2+.384ZX3. It indicates that the fourth-week grade is significantly influenced by the second-week grades. The linear regression equation of sit-up is Z ̂_y=-.011ZX1+.322ZX2+.627ZX3. It indicates that the fourth-week grade is significantly influenced by the third-week grades. The linear regression equation of 3000-meter running is Z ̂_y=.03ZX1+.558ZX2+.346ZX3, It indicates that the fourth-week grade is significantly influenced by the second-week grades. The expected grade of the pre-training grades is 60 scores and the expected grade of the post-training grades is 75 scores. From the statistical analysis the comparison of pre-training and post-training grades of push-up and 3000-meter running show no significant deviation with the significance level larger than 0.01, but the sit-up grades shows significance level of p-value < .01 between the pre- and post-training. Finally we analyze the training effect between two groups of age, less or larger than 24. From the analysis the p-values of push-up, sit-up and 3000-meter running are .586, .966 and .26 respectively. All p-values are larger than 0.05 and show that the improvement of the physical training is evident for both groups of ages.