NO. STUDENT CODE
PRE-TEST POST-TEST
25 ST25
52 88
26 ST26
64 68
27 ST27
76 80
28 ST28
36 44
29 ST29
72 80
30 ST30
48 52
31 ST31
72 84
32 ST32
60 64
33 ST33
52 56
34 ST34
40 40
35 ST35
76 84
SUM 2066
2200 MEAN
59.03 62.86
MAXIMUM SCORE 82
92 MINIMUM SCORE
32 36
Based on the table above the, the highest pre-test score of the students in experimental class was 82, and the lowest was 32. Meanwhile the highest post-
test score of the students in experiment class was 92, and the lowest was 36. Moreover the mean of pre-test was 59.03 and the mean of post-test was 62.86.
In addition the tables above show that both classes increased their score. However, the score in experimental class increased higher than the score in
controlled class. The sum of gained score in experimental class was 413 while the sum of gained score in controlled class was 134. The progress of both classes can
be seen in diagram below:
Figure 4.1 The Progress Diagram of Experimental Class and Controlled Class
B. Analysis of Data
1. Normality of Pre-test and Post-test
The normality test is conducted before calculating t-test, in order to know whether the distributions from the two classes are normal or not. The test of
normality is using Komogorov-Smirnov and Shapiro-Wilk. The researcher used SPSS to analyze the data. The result as follow:
Table 4.3 Normality Test of pre-test
Class Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic df
Sig. Experiment
.127 35
.167 .956
35 .171 Control
.133 35
.122 .956
35 .178 a. Lilliefors Significance Correction
52 54
56 58
60 62
64 66
68 70
72
Experiment Class Controlled Class pre-test
post-test
Based on table 4.3 the significance of the experimental class was 0.167 and the significance of the controlled class was 0.122. It means both significance
of pre-test in experimental class and controlled class are above 0.05. Therefore the distribution of pre-test of experimental class and controlled class were
normal.
Table 4.4 Normality Test of Post-test
Class Kolmogorov-Smirnov
a
Shapiro-Wilk Statis
tic Df
Sig. Statis
tic df
Sig. Experiment
.135 35
.110 .968
35 .381
Control .145
35 .060
.948 35
.100 a. Lilliefors Significance Correction
Based on table 4.4 the significance of the experimental class was 0.110 and the significance of the controlled class was 0.060. It means both significance
of post-test in experimental class and controlled class are above 0.05. Therefore the distribution of post-test of experimental class and controlled class were
normal.
2. Homogeneity of Pre-Test and Post-Test
Table 4.5 Homogeneity Test of Pre-test
Levene Statistic
df1 df2
Sig. 2.728
1 68
.103
The researcher used Levene statistic in SPSS to analyze the homogeneity of pre-test with significance level 0.05. The result showed that significant of pre-
test was 0.103. It was higher than 0.05. It means that the data of pre-test was homogenous. Moreover the result of homogeneity test of post-test was:
