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The Normality Test Calculation of Pretest The Normality Test Calculation of Postest

b. The Normality Test Calculation of Postest

Table 4.5The Normality Test Calculation of Postest One-Sample Kolmogorov-Smirnov Test Final Score N 37 Normal Parameters a,b Mean 76.378 Std. Deviation 7.2509 Most Extreme Differences Absolute .072 Positive .065 Negative -.072 Test Statistic .072 Asymp. Sig. 2-tailed .200 c,d . The result test used one sample Kolmogorov-Smirnov showed Asymp, Sig. 2- tailed was 0.200 grea ter than significance level α 0.05 then it can be concluded that the residual required distribute assumption is normal.

1. Homogeneity Test

The next test used is homogeneity test. The purpose is to see whether the data is distributed in homogeneous or heterogeneous way. The criteria of the test: H : : means the data is homogeneous. H ₁: : means the data is not homogeneous. : 1.74 in the significance degree 0.05 The calculation of data presented in the following table.

a. The Homogenity Test of Pretest Table 4.6 Homogenity Test of Pretest

Based on the table 4.6 , the Levene’s showed 0.025 in the significance degree 0.05. It means the researcher found H 0 is accepted and stated that the variance is same. H is accepted if the significant value of homogeneity test is higher than significant value α 0.05. The result of the homogeneity test is significant value is higher than 0.05 0.025 0.05. It means that the data were homogenous. Levenes Test of Equality of Error Variances a F df1 df2 Sig. 3.716 20 16 .025

b. The Homogenity Test of Postest Table 4.7 Homogenity Test of Postest

Based on the table, the Levene’s showed 0.034 towards significance value 0.05. It means the researcher found H 0 is accepted and stated that the variance is same. H is accepted if the significant value of homogeneity test is higher than significant value α 0.05. The result of the homogeneity test is significant value is higher than 0.05 0.034 0.05. It means that the data were homogenous.

2. Statistical Hypothesis Test

For testing the statistical hypothesis of this research, the formulation used was t-test. Levenes Test of Equality of Error Variances a F df1 df2 Sig. 2.494 20 16 .034

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