the lowest score of the students was 61 and the highest score was 95. Otherwise, the total score of the post-test score was 1322 which was giving the mean score
of the post-test score was 69.57. It has the lowest score of 54 and the highest score of 95. In addition, the lowest students’ gain score in the controlled class was
-32 which was taken from the student who got the highest score in the pre-test. On the other hand, the highest students’ gain score achieved 12.
B. Data Analyzing
Data Analyzing consists of normality test of pre-test, normality test of post- test, homogeneity test of pre-test, homogeneity test of post-test and also the t-test
of the data.
1. Normality Test a. Normality Test of Pre-Test
The normality of pre-test was used to know the normality data was in normal distribution or not. To gain the result of the normality of distribution data,
the research used Lilliefors as the medium. As the Lilliefors theory, the examination of normal distribution come from the proportional accumulation
equaled by the function of distribution on the distribution of normal probability.
1
Here is the result of SPSS output:
Table 4.3 The Result of Homogeneity of Pre-Test
No. Source
Experimental Controlled
1. N
19 19
2. Mean
68.05 71.79
3. Variance
139.27 95.28
4. Standard Deviation
11.80 9.761
5. Minimal Score
32 61
6. Maximal Score
91 95
7. T
count
0.01 0.01
8. T
table
0.30 9.
Conclusion Normal Distribution
1
Budi Susetyo, Statistika untuk Analisis Data Penelitian, Bandung: PT Refika Aditama, 2010, p. 148.
The normality of pre-test above used lilliefors Test. The researcher assumed that:
H : the data was in normal distribution,
H
a
: the data was not in normal distribution The criteria were H
accepted if T
count
0.301 and rejected if T
count
0.301 with the significance degree was 5
Table 4.3 showed that the result of the T
count
experimental class gained 0.01 which was smaller than T
tabel,
T
count
T
tabel
= 0.01 0.30. Moreover, the T
count
of the controlled class gained 0.01, or T
count
T
tabel
= 0.01 0.30. Both of the data pointed out the score that smaller than T
tabel.
So, it meant that both of classes were in normal distribution.
b. Normality Test of Post-Test
The normality of post-test used to know whether the data was in normal distribution or not. To know the distribution of the data, the researcher used
lilliefors as the medium of calculating the data. Here the result:
Table 4.4 The Result of Normality of Post-test
No. Source
Experimental Controlled
1. N
19 19
2. Mean
68.11 69.58
3. Variance
125.87 73.25
4. Standard Deviation
11.22 8.55
5. Minimal Score
46 54
6. Maximal Score
93 95
7. T
count
0.20 0.19
8. T
table
0.30 9.
Conclusion Normal Distribution
The normality of post-test above used lilliefors Test. The researcher assumed that: H
: the data was in normal distribution, H
a
: the data was not in normal distribution The criteria were H
accepted if T
count
0.301 and rejected if T
count
0.301 with the significance degree was 5
