received the treatment using animation movies. It also was proven by the t-test formula. The computation can be seen in Appendix 14. The result showed that
there is a significant difference between the experimental group and the control group on the students
’ writing scores.
4.2.4 Difference Between Two Means
The difference between the two means was computed using the following formula as stated by Arikunto 2006:272:
Xe ∑Xe
Ne
The mean of the experimental group on the post-test: Xe
∑Xe Ne
2130 34
62.65 Whereas, the mean of the control group on the post-test:
Xc ∑Xc
Nc 1807
34 53.15
From the calculation, the mean of the experimental group was 62.65 and the mean of the control group was 53.15. It means the mean of the experimental
Xc ∑Xc
Nc
group is higher than the mean of the control group. However, it could not be concluded that the difference between the two means was significant. Therefore,
to determine whether the difference between the two means was statistically significant, the t-test formula was applied.
4.2.4 Analyzing the T-test
According to Arikunto 2006:278, in measuring the significance of the pre-test and the post-test, the t-test was used. Before applying the t-test formula, the
standard deviation should be computed first. The formula is as follows:
S n
1 S
1 2
n 1 S
2 2
n n
2
S 34
1 60.54 34
1 69.22 34
34 2
S 8.05476
After that, the t-test formula was applied to measure the significant difference between the experimental group and the control group. The formula is
as follows: t
X X
S 1
n 1
n t
62.65 53.15
9.05476 1
34 1
34
t 4.863
To interpret the t obtained, it should be consulted with the critical value of the t-table to check whether the difference was significant or not. In education
research, the 5 0.05 level of significance was used. If the t-value is higher than t-table, it means that there is significant difference between the two means.
Contrary, if the t-value is lower than t-table, it means that there is no significant difference between two means.
While t-table at Nx + Ny - 2 = 34 + 34 - 2 = 66 is 1.67. It means that t-
calculation is higher than t-table. The number of subjects in this study for the experimental group and the
control group were 68 with the degree of freedom df = 66, that was Nx + Ny - 2 = 66. At the 5 0.05 alpha level of significance, t-value that was obtained was
4.863 and t-table was 1.67 so the t-value is higher than t-table. It means that there is significant difference between two means. Therefore, there was significant
difference in achievement between students who were taught writing narrative text by animation movies and those who were taught by using conventional
method. It can be proven by the result of the test where the students who taught writing narrative text using animation movies got the higher grades than those
who were taught without it.
4.2.5 Test of Significance
