Analysis of matched statistic of Mercuries Taiwan Masters 2016

碩士 === 臺北市立大學 === 競技運動訓練研究所 === 105 === This study aims to explore if each player’s technology is related to promotion or not, using 2016 Mercuries Taiwan Masters Invitational Golf Tournament data. Methods: According to the 2016 Taiwan Masters race first two rounds of competition data. Use IBM SPSS...

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Bibliographic Details
Main Authors: Hsu, Li-Peng, 許立朋
Other Authors: Wang, Hung-Tsung
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/8kauj4
Description
Summary:碩士 === 臺北市立大學 === 競技運動訓練研究所 === 105 === This study aims to explore if each player’s technology is related to promotion or not, using 2016 Mercuries Taiwan Masters Invitational Golf Tournament data. Methods: According to the 2016 Taiwan Masters race first two rounds of competition data. Use IBM SPSS Statistics22 for further descriptive statistical analysis. Take advantage of t-test to Observe the differences between the variables, the percentage of confidence interval is set at 95% (the significant level is 0.05).Results: Research analyze the four core golf technology projects: kick-off on the fairway, par on the green rate, no par on the green success rate, the number of rounds per shot. The significance of all data in the Levene shows the results were significantly correlated. In addition, use t test to analyze the difference between the data and the promotion. According to the results of the study shows that in addition to the number of D2 putts, the results of the test were significant for most of the items that make the cut and miss the cut is not related (Exist difference).Conclusions: The results of the study can be found out of the technical differences between the promotion group and the eliminatory group. Can strengthen the irons of the sense of distance and direction control training into the practice schedule, in order to improve the par at the green rate. Then enhance the Approach technology to increase the success rate of saving to be assisted. Using every data record to do the statistical analysis judge the advantages and disadvantages of the player’s performance. Training for player’s weaker projects, let training has more accurate and more efficient so that our players have highly competitive.