Essay --

performance of the Board Jump game, in compares ion of the YH and GH players. Prior to the Olympic Games in Atlanta, the United States Tested the Olympic Team Board Jump players (N=20, ages ranged from 22.01 to 31.73 years) consisted of laboratory tests of maximum oxygen uptake, computerized strength measures, blood tests, etc, and a battery of field tests (anthropometries: height, weight, hand breadth, arm length, arm span; and skills: accuracy Jumping, dribble and jump-Jumping) that included assessments of physical characteristics, and physical performance components Bergemann, B 27 (1995) the mean vertical jump for the dominant leg was 54.03 cm (21.27 in), the non-dominant leg was 46.72 cm (18.39 in), and for both legs was 62.15 cm (24.47 in). This is higher than vertical jumps of 52.8 cm (20.8 in) for professional soccer players, 53.3 cm (21 in) for college basketball players, but less than 67.0 cm (26.4 in) for elite men volleyball players. The correlation coefficients for the anthropometric, vertical jump and the skills tests with the Experts Rankings we re very low. The correlation between the Total Composite T-scores and the Experts Rankings were the highest with r = 0.364. This is not significant but was very close to the r = 0.3783 needed for significance. Zapartidis, D. 28 (2009) in his study conducted under the heading, 'Factors Influencing Ball Jumpinging Velocity in Young Female Board Jump Players'. The study aimed to the investigation of the relationship between the Jumping ball velocity and specific anthropometric and physical fitness characteristics of young female team Board Jump players. The scholar selected some 220 young female board jumpers for the study and (N=220, mean  ± SD age 13.99  ± 1.06 yrs and playing ... ...when tested. In the study the researchers assessed the speed, using a 30-m run, and agility, using the tests such as the stepping aside test. The team’s Board Jump wing players are usually required to be faster and more agile than other field players. The scholars in the study saw some of these qualities of wing players but only partially, since the performance of back-court players was similar to that of wing players. There was no plausible explanations were offered for this lack of differences. However, the means for the speed and agility tests showed that wing players tended to be faster and more agile than back-court players. It is possible that the lack of statistical difference was due to a lack of statistical power. Unfortunately, the effect size could not be calculated from data presented in this study, since the standard deviation values were not reported.