Statistical Hypothesis RESEARCH METHODOLOGY

Table 4.2 Independent Samples Test Levene’s Test For Quality of Variance t-test for Equality of Means F Sig. T Df Sig. 2- tailed Mean Difference Std. Error Difference 95 Confidence Interval of the Difference Lower Upper Pretest Equal variance assumed Equal variance not assumed .016 .900 -.058 -.058 48 47.930 .954 .954 -.04000 -.04000 .68896 .68896 1.42525 1.42530 1.34525 1.34530 The level pf significance established in this test was 0.05 with df = 48. Based on the statistical analysis illustrated on the table 4.4, it can be explained that the significance value is higher than 0.05 or 0.9540.05. the result ensures that the null hypothesis is not rejected but the alternative hypothesis is rejected. Therefore, there is no difference between controlled and experimental groups’ means. By the result of the normality, homogeneity, and independent t-test above,it is apparent that both of the groups have equal initial ability in writing argumentative text. Therefore, class VIII A and VIII B can be grouped as samples of research. The students in class VIII A was selected to be the experimental group, and class VIII B was taken as the controlled group.

2. Post-test Result

Post-test was administered on March 2016 to 24 samples. After gathering the data of post-test scores, similar statistical analysis as pre-test was also accomplished. Beside the calculation on normality, homogeneity, and independent t-test , the effect size was also employed to discover at what valu e scanning technique affects student’s score. Table 4.3 The Score of Post-Test Score Experimental Class Controlled Class Freq. F Mean Freq. F Mean 70 7 29.17 75 20 83.33 62 70-80 9 37.5 4 16.67 81-90 8 33.33 below the standard of minimum completeness The number of students who got middle score in experimental class was 9 Students 37.5 with the lowest were 53 and the number of students who got high score was 8 students 33.33 with the highest score were 97. Then, students in controlled class who got score classified into the middle score were 4 students 16.67 with the lowest score was 43 and students whose scores were classified into high score was no student 0. Therefore, the students’ score distribution was still dominant in the middle score. However, the portion of middle score and high score in the post-test was more balance than in the pre-test. Furthermore, the table showed the mean score of post-test in experimental class was 75 and in the controlled class was 62. The calculation of the mean score and the list of students’ scores were attached in the appendix. Also, the writer had checked the normality and the homogeneity of the pretest score. The result of the normality and homogeneity test indicated that the data was normal and homogeneous. It was proven by the significance of the normality and homogeneity test which was above 0.05. Also, tvalue of normality test in the experimental class was 0.102 and tvalue in the controlled class was 0.183. The value was lower than ttable, therefore, Ho was accepted and Hi was rejected. It means that the distribution of the data was normal.