A Statistical Technique to Develop a Discriminant Model to Categories Senior Female Cricketers of Gujarat into Batsman and Bowler
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Published:
Aug 31, 2024
Keywords:
statistical technique, discriminant model, senior female cricketers, Gujarat, batsman, bowler, physiological variables, anthropometric variables
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Aim of the study The aim of the study was to develop a criterion for classifying female cricket playersinto batsmen and bowlers by using discriminant analysis function on the basis of physiological andanthropometric variables.Material and Methods A sample of thirty [N = 30] female cricket players who was the part of interuniversity team of Swarnim Gujarat Sports University in the year 2021-22. So that the players wereclassified into batsmen and bowlers on the basis of predictor variables.Results A significant difference between batsmen and bowlers was found in physiological andanthropometric variables i.e. FVC, VO2 MAX, Total arm length, Shoulder diameter. Furthermore, Themean value is higher in bowlers in case of (vo2 max, shoulder diameter), While the mean value is more inbatsmen in terms of Total arm length, FVC6. The attained discriminant model classified correctly 80.0 ofthe cases in the sample.Conclusion- This study clearly remarks the difference present in the physiological and anthropometricvariables of women’s batsmen and bowlers. The result of the study is that the coaches can usephysiological and anthropometric variables for players i
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