75.33 Max The Data of Experimental Class

Table 4.5 Normality of Pre-test Using Lilliefors Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Experiment Class .172 30 .024 .939 30 .087 Control Class .204 30 .003 .931 30 .053 a. Lilliefors Significance Correction Besides using the normality test calculation of Kolmogorov-Smirnov Test, the writer also used Lilliefors Test. It shows that the normality is significant too. It is shown by the significance in Lilliefors table of Experiment Class data is 0.024. Meanwhile, the significance in Lilliefors table of Controlled Class data is 0.003. Both significances of Experiment class data and Controlled class data are much less than the calculation Kolmogorov- Smirnov table with critical points of 30 = 0.242. In other words, the pre-test results in both experimental class and control class are normally distributed. Table 4.6 Normality Post-test Result between Experimental Class and Control Class One-Sample Kolmogorov-Smirnov Test Experiment Class Control Class N 30 30 Normal Parameters a,b Mean 75.3333 70.6667 Std. Deviation 9.18520 7.73854 Most Extreme Differences Absolute .186 .201 Positive .186 .201 Negative -.120 -.179 Kolmogorov-Smirnov Z 1.018 1.103 Asymp. Sig. 2-tailed .251 .176 a. Test distribution is Normal. b. Calculated from data. From the table 4.6, it can be seen that the absolute difference D of Experiment Class data is 0.186. It is much less than absolute difference in Kolmogorov-Smirnov table with the closest Kolmogorov-Smirnov critical points of 30 = 0.242. It means that the post-test of experiment class data is normal. Meanwhile, the absolute difference of Controlled Class data is 0.201. It is also much less than D-table with the closest Kolmogorov-Smirnov critical points. So, it can be conclude that the post-test of control class data is normal. Table 4.7 Normality of Post-Test Using Lilliefors Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Experiment Class .186 30 .010 .928 30 .044 Control Class .201 30 .003 .913 30 .018 a. Lilliefors Significance Correction The writer also used the Lilliefors test for normality of post-test. It shows that the normality is significant too. It is shown by the significance in Lilliefors table of Experiment Class data is 0.010. Meanwhile, the significance in Lilliefors table of Controlled Class data is 0.003. Both significances of Experiment class data and Controlled class data are much less than the calculation Kolmogorov-Smirnov table with critical points of 30 at the degree significance 0.05 = 0.242. Hence, the post-test results in both experiment class and controlled class are normally distributed.

2. Homogeneity Test

Based on the calculation of normality, the writer got the result that all data in pre-test and post-test of both experimental class and control class have been distributed normally. The next step of the calculation was to find the pre-test and post-test homogeneity of the data by using SPSS v.18 for Windows. The test would be homogeneous if the calculation of the result is higher than Kolmogorov-Smirnov table with the critical points of 30 = 0.242. The results of homogeneity test of the data are presented as follows: Table 4.8 Homogeneity Pre-test and Post-test Result between Experimental Class and Control Class Pre-Test of Homogeneity of Variance Levene Statistic df1 df2 Sig. Value Based on Mean .477 1 58 .493 Based on Median .377 1 58 .542 Based on Median and with adjusted df .377 1 56.768 .542 Based on trimmed mean .459 1 58 .501 The table 4.8 shows that the significance of pre-test result between experimental class and control class are 0.493, 0.542, 0.542, and 0.501. Therefore, it can be concluded that the data of pre-test are homogeneous because all of the data result 0.05. Table 4.9 Post-Test of Homogeneity of Variance Levene Statistic df1 df2 Sig. Value Based on Mean .400 1 58 .530 Based on Median .309 1 58 .581 Based on Median and with adjusted df .309 1 52.144 .581 Based on trimmed mean .319 1 58 .575 The table 4.9 shows that the significance of post-test result between experimental class and control class are 0.530, 0.581, 0.581, and 0.575. Therefore, it can be concluded that the data of post-test are homogeneous because all of the data result are higher than 0.05. So, it shows that both of the groups are homogeneous. Based on the pre-requisite test statistical analysis, found that the data normally distributed and homogeneous. Therefore, next, the data was analyzed by using T-test formula. This technique is useful to prove statistically whether there