The Analysis of the Post Test

difference between the two groups; they were the experimental and the control groups. The results of the test can be seen in Appendix M.

4.5.1 The Analysis of the Post Test

The reading post test was administered to both the experimental group and the control group on January 19 th , 2015 after the students had been given the treatment. The scores of the post-test were used to investigate whether there was significance difference between the experimental and the control groups after the treatment. The post test results were analysed statistically by using SPSS Statistical Package for the Social Sciences especially with Independent sample t-test formula to know whether the mean difference between the experimental group and the control group was significant or not. This researcher used 95 confidence interval of the difference. The output of the post test was analyzed by using independent t-test of SPSS which can be seen in the table below. Table 4.4 the Output of Group Statistics of Post Test Group Statistics Group Statistics KELAS N Mean Std. Deviation Std. Error Mean NILAI EXPERIMENTAL 36 78.9444 7.07892 1.17982 CONTROL 34 73.8235 6.51093 1.11661 From the table above, the total number of the test takers of the experimental class was 36 students and the control class was 34 students. The mean score of the reading test of the experimental class was 78.9444 with standard deviation 7.07892 and the mean score of the reading test of the control class was 73.8235 with standard deviation 6.51093 Table 4.5 The Output of Independent Sample T-Test of Post Test Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means 95 Confidence Interval of the Difference F Sig. t df Sig. 2- tailed Mean Differen ce Std. Error Difference Lower Upper NILAI Equal variances assumed .233 .631 3.145 68 .002 5.12092 1.62837 1.87155 8.37028 Equal variances not assumed 3.152 67.955 .002 5.12092 1.62444 1.87936 8.36247 From the table above, the value of significant column of Lavene’s test for equality of variances was 0.631 and it was higher 0.05. Consequently, the row that must be read was the first row of t-test column. In independent sample t-test column, the value of significant column 2-tailed was 0.002, and it was lower than 0.05. It means that there was a statistical difference between the experimental and the control groups.

4.5.2 The Hypothesis Verification

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