From the calculation, it can be seen that in the control group, the mean of the pre-test was 65.07 and the post-test 76.67. From those scores, the different
mean between the pre-test and the post-test on the control group was 11.60. While, on the experimental group, the mean of pre-test was 65.47 and post-test
was 84.00. The different mean between those tests was 18.53. It meant that the different mean on the experimental group was higher than that of the control
group. It could be concluded that there was good improvement of the
experimental groups achievement after they received the treatment using BBC Nature videos. However, it could not be concluded that the difference between the
two means of pre-test and post-test was significant. Therefore, to determine whether the difference between the two means was statistically significant, the t-
test formula was applied.
4.4 Analyzing the T-test
The study was intended to investigate whether there is any significant difference of ability in writing descriptive text between the students who were taught by
using flashcards and those who were taught by using BBC Nature videos as media. It was hypothesized that the difference occured.
To measure the significance of the pre-test and the post-test, the t-test was used. T-value obtained from the computation should be consulted with the critical
value in the t-table. The result of the consultation is then used as an attempt to verify the hypothesis.
Before applying the t-test formula, the standard deviation should be computed first. The formula is as follows:
After that, the t-test formula was applied to measure the significant difference between the control and the experimental groups. The formula is as
follows:
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 educational
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.
The number of subjects in this study for the control and experimental groups were 60 with the degree of freedom df = 58, that was Nx + Ny - 2 = 58.
At the 5 0.05 alpha level of significance, t-value that was obtained was 3.86 and t-table was 2.00, so the t-value is higher than t-table. It means that there is
significant difference between the two means. Therefore, there was significant difference in achievement between students who were taught writing descriptive
text by using flashcards and those who were taught by using BBC Nature videos. In other words, the research findings revealed that the result of the
treatment was in line with my hypothesis that “There is a significant difference of
achievement s in writing descriptive texts of students who are taught by using flashcards and those who are taught by using BBC Nature video.”
Therefore, the null hypothesis that “There is no a significant difference of achievements in writing descriptive texts of students who are taught by using
flashcards and those who are taught by using BBC Nature video” was rejected.
4.5 Discussion of the Research Findings
