Testing Normality of the Data Testing Homogeneity of the Data

From the result of such analysis, the value of and could be gotten and could be used to determine the truth or false of the hypotheses. If the value of was equal to or higher than the value of , the null hypothesis would be rejected and the alternative hypothesis would be accepted. Conversely, If the value of was smaller than the value of , the null hypothesis would be accepted and the alternative hypothesis would be rejected. ≥ , is rejected and is accepted , is accepted and is rejected The followings were the null hypothesis and the alternative hypothesis of this study. 1. Null hypothesis : computer-assisted language learning CALL is not effective in teaching past tense to the tenth grade students of SMAN 5 Tangerang Selatan. 2. Experimental hypothesis : computer-assisted language learning CALL is effective in teaching past tense to the tenth grade students of SMAN 5 Tangerang Selatan. 51

CHAPTER IV FINDINGS OF THE STUDY

A. The Description of the Data After students‘ pretest and posttest scores were gotten from both the experimental X and control classes Y, the students‘ gained scores could also be founded by reducing the students‘ posttest scores with pretest scores. The result of those scores was showed as follow. Table 4.1 The Scores of Students’ Tests in the Experimental X and Control Classes Y NIS X Pretest X Posttest X Gained Score X NIS Y Pretest Y Posttest Y Gained Score Y 1 48 84 36 1 48 68 20 2 32 92 60 2 60 76 16 3 32 96 64 3 24 68 44 4 40 96 56 4 28 36 8 5 24 68 44 5 60 72 12 6 44 92 48 6 56 68 12 7 40 96 56 7 60 84 24 8 56 80 24 8 21 28 7 9 24 88 64 9 52 80 28 A complete data is available at appendix 4, page 96-97 40.86 86.92 46.05 48.03 68.97 20.95 From the table above, there were three things that could be described more detailed below. They were the descriptions of students‘ pretest scores, students‘ posttest scores, and students‘ gained scores as follows.