the students from control class. In this class, student who did not pass the minimum score was one student.
2. The Data of Control Class
Table 4.2 The Students’ Scores of Control Class
Without Media Pictures Series
Students Y
Pre Test Score
Post Test Score
Gain Score Post Test-Pre Test
Categorization in Post Test Score
1 58
72 14
Good 2
68 82
14 Excellent
3 59
72 13
Good 4
60 79
19 Good
5 62
76 14
Good 6
59 75
16 Good
7 55
79 24
Good 8
57 79
22 Good
9 57
78 23
Good 10
60 80
20 Excellent
11 67
78 11
Good 12
61 77
16 Good
13 68
80 12
Excellent 14
59 72
13 Good
15 61
82 21
Excellent 16
52 73
21 Good
17 62
72 10
Good 18
58 73
15 Good
19 52
75 23
Good 20
60 72
12 Good
21 59
75 16
Good 22
54 75
21 Good
23 60
79 19
Good 24
61 72
11 Good
25 61
72 11
Good 26
60 80
20 Excellent
27 63
79 16
Good 28
61 73
12 Good
29 59
75 16
Good 30
70 80
10 Excellent
31 61
72 11
Good 32
59 79
20 Good
33 71
82 11
Excellent 34
60 75
15 Good
35 63
78 15
Good 36
71 81
10 Excellent
37 62
75 13
Good 38
61 80
19 Excellent
39 62
79 17
Good
∑ 2373
2987 616
̅
Mean 60.84
76.58 15.79
Based on the table 4.2 above, it shows that the lowest score in pre-test was 52 and the highest score was 71 with the average of pre-test score was 60.84. Beside
that, the average of post-test score increased with the value 76.58. The highest score of post-test was 82 Excellent ; the lowest score was 72 Good . The result
of post-test indicated that only 28 students who passed the standard of minimum score of English Subject KKM, and the rest got fewer than 75.
B. Analysis of Data and Hypothesis Testing
1. Analysis of Pre-test and Post-test
Before the writer calculated the value of t
test
to look at the hypothesis, the writer had to analyze the normality and homogeneity of the data. The examination
of normality was needed to know whether the data has been normally distributed. Then, after getting the normality, the next step was calculating the homogeneity of
data. It was proposed to look at whether the data is homogeneous or heterogeneous. The writer used the Lyllifors formula to test the normality. In this
formula, the data was transformed into the basic value. The maximum dispute T got from the calculation must be in absolute value +. The result of normality can
be seen by comparing the value of T
max
to T
table
. The criterion of hypothesis is:
H
1
: T T
table
H
o
: T T
table
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