13 65
90 25
14 50
60 10
15 40
60 20
16 45
60 15
17 45
50 5
18 45
55 10
19 40
70 30
20 40
75 35
∑ 995
1445 450
Mean 49.75
72.25 22.5
The Table 3.1 above describes that the lowest score in the pre-test is 40 and the highest score is 65. Meanwhile, the lowest score in the post-test is 50 and
the highest score is 90. Therefore, it can be summarized that the lowest and the highest scores in post-test is higher than in pre-test.
Table 3.2 consists of four columns, the first column shows the number of students in the control class Y, the second column shows the pre-test scores, the
third column shows the post-test scores and the last column shows the gained scores which are resulted from the post-test score is subtracted the pre-test score.
Table 3.2 The Students’ Scores of Control Class
Using Grammar Translation Method GTM Students
Y Pre-test Score
Post-test Score Gained d Score
Post Test – Pre Test
1 60
65 5
2 45
55 10
3 45
50 5
4 40
50 10
5 35
55 20
6 35
55 20
7 50
75 25
8 40
55 15
9 45
55 10
10 50
55 5
11 50
50 12
50 65
15 13
45 55
10 14
30 50
20 15
45 45
16 40
70 30
17 50
65 15
18 60
65 5
19 45
70 25
20 40
50 10
∑ 900
1155 255
Mean 45
57.75 12.75
The Table 3. 2 above describes that the lowest score in the pre-test is 30 and the highest score is 60. Meanwhile, the lowest score in the post-test is 45 and
the highest score is 75. Therefore, it can be summarized that the lowest and the highest scores in post-test is higher than in pre-test.
1. The Analysis of Data
Before the writer analyzed the data, he had calculated the data into the statistic calculation. The writer used t
test
formula to find the empirical evidence statistically and to make the testing of hypothesis will be easier.
Before it, the writer made the calculation table from two variables. The table consists of eight columns; the first column shows the number of students in
the experiment class, the second column shows the number of students in the control class, the third column shows the students‟ gained scores in the
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