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Table 2. Characteristics data subject of the study Based on the data of the Speed Sabit Kick performing

Table 2 Characteristics data subject of the study Based on the data of the Speed Sabit Kick performing

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Table 1. Classification of sabit kick speed among national pencak silat athletes
Table 1. Classification of sabit kick speed among national pencak silat athletes
Table 5. Correlations ** Correlation is significant at the 0.01 level (2-tailed).
Table 5. Correlations ** Correlation is significant at the 0.01 level (2-tailed).
Table 3. The Percentage of the Sabit Kick Speed Test The results of the normality test for the research data can be seen in the table below:
Table 3. The Percentage of the Sabit Kick Speed Test The results of the normality test for the research data can be seen in the table below:
Table 4. Tests of Normality Based on the normality test with Kolmogorov-Smirnov on the leg length variable, the significance value is 0.200 > greater than 0.05, indicating that the leg length variable data is normally distributed. Meanwhile, for the sabit kick speed variable, the significance value is 0.001 < less than 0.05, meaning that the sabit kick speed variable data is not normal. Since one of the variable's significance values indicates non-normal distribution, it can be concluded that the normality test results show non-normal distribution, and therefore, the data analysis will use non-parametric analysis with Spearman's rank.
Table 4. Tests of Normality Based on the normality test with Kolmogorov-Smirnov on the leg length variable, the significance value is 0.200 > greater than 0.05, indicating that the leg length variable data is normally distributed. Meanwhile, for the sabit kick speed variable, the significance value is 0.001 < less than 0.05, meaning that the sabit kick speed variable data is not normal. Since one of the variable's significance values indicates non-normal distribution, it can be concluded that the normality test results show non-normal distribution, and therefore, the data analysis will use non-parametric analysis with Spearman's rank.
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