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
Based on the table 4.4, the result showed that the T
count
of experimental class reached 0.20 and the controlled class reached 0.19. Moreover, both of the
results of Tcount were smaller than T
tabel,
T
count
T
tabel
, 0.20 0.30 and 0.19 0.30. It calculated with the degree of significance 0.05. It meant Null Hypothesis
H was accepted that indicated both of the data were in normal distribution.
2. Homogeneity Test a. Homogeneity Test of Pre-Test
The homogeneity test was used to know whether the group sample of the population was homogeneous or not. It was calculated based on the formula
below: Variance of Pre-Test of experimental Class:
S X
n S
90499 19
1293 19
= 4763.10 – 4631.16 = 139.27
Variance of Pre-Test of Controlled class: S
y n
S 99636
19 1364
19 = 5244 – 5153.72
= 95.28 Homogeneity Test of Pre-Test
F
