Post-test Score Gained Score

17. 6 -2 2 -3 4 9 18. 6 8 2 7 4 49 19. 1 -4 -3 -5 9 25 20. 1 -4 -3 -5 9 25 21. 6 6 2 5 4 25 22. -5 6 -9 5 81 25 23. -3 6 -7 5 49 25 24. 4 -8 -9 81 25. 4 -1 1 26. 2 -4 -6 -5 36 25 27. 13 9 -1 81 1 28. 10 6 -1 36 1 29. 14 10 -1 100 1 30. -1 -3 -5 -4 25 16 Total 124 26 646 404 Mean 4.13333333 0.866666667 21.53333333 13.46666667 X = Gained Score of Experimental Class Y = Gained Score of Control Group MX = Mean Score of Gained Scores of Experimental Class MY = Mean Score of Gained Scores of Control Group According to the data in the table above, the result of the students’ pre -test and post-test further in each class is calculated by using t-test in some steps as follows: 1. Determining mean of variable X, with formula as follows: Mx = x N Mx = 124 30 Mx = . 2. Determining mean of variable Y, with formula as follows: My = y N My = 26 30 My = . 3. Determining standard of deviation score of variable X, with formula as follows: SDx = x² N SDx = 646 30 SDx = 21.5 SDx = . 4. Determining standard of deviation score of variable Y, with formula as follows: SD = y N SD = 404 30 SD = 13.4 SD = . 5. Determining standard error of mean of variable X, with formula as follows: SE x = SDx N 1 SE x = 4.63 30 1 SE x = 4.63 29 SE x = 4.63 5,38 SE x = . 6. Determining standard error of mean of variable Y, with formula as follows: SE = SD N 1 SE = 3.66 30 1 SE = 3.66 29 SE = 3.66 5,38 SE = . 7. Determining standard error of different mean of variable X and variable Y, with formula as follows: SE x SE у = SE x² + SE у ² SE x SE у = 0.86 + 0.68² SE x SE у = 0.73 + 0.46 SE x SE у = 1.19 SE x SE у = . 8. Determining, to with formula as follows: t = M M SEᴍ SEᴍ t = . . . t = . . t = 9. Determining with degree of freedom df in significant level of 5 and 1 with formula as follows: Df = N + N – 2 Df = 30 + 30 – 2 Df = 60 – 2 Df = 58 The value of df degree of freedom is 58. The value of 70 in the table “t” score at significant level of 5 = 2.00 10. The comparison between t-observation and t-table: 2.00 3

C. The Hypothesis Testing

After obtaining the data by using t-test formula, it is used to prove the result of the hypothesis as follows. Based on the description of the data calculation, it shows that: 1. The value of t-observation is 3 2. The degree of freedom df is 58, so the value of t-table in significance level of 5 = 2 Because the value of t-observation t-table, it proves that the null hypothesis is rejected and the alternative hypothesis is accepted which stated that there was significant different between the studen ts’ score in speaking before and after using storytelling technique at the eleventh grade students of MAN 1 Bekasi.

D. Interpretation

From table 4.1 and 4.2, it can be concluded that the mean score of pre-test in experimental class was 73.96666667, and the mean score of pre-test in control group was 74.03333333. And from the scores of both classes, it means that there was a difference between the students’ achievement of scores in pre -test experimental class and control group, the control group class got the higher mean score than the experimental class. Meanwhile, the table 4.3 and 4.4 showed that the mean score of post-test in experimental class was 78.3 and the mean score of post-test in control group was 74.9. It means that there was a significant score of experimental class and control group in post-test, control class was increased in

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