CHAPTER IV FINDING AND DISCUSSION
A. Findings
1. Data Description
The data were collected from students’ pre-test and post-test. This research was conducted in one class with 20 students. The result of the data can be described as the following:
a. The Students’ Vocabulary Score in Pre-test
The researcher gave some test to the students` as the pre-test to know the student`s improve in vocabulary. Every student got the question and answered it. Before giving the treatment to the students, they had low vocabulary as we can see on the table below:
Table 4.1 Student’s Pre-test Score based on Vocabulary Test
No Students Score X1 Score
(X1)2 Classification
1 Andi Asti Widya Sari 75 5625 Good
2 Andi Nur Astika 40 1600 Poor
3 Anggi Pratiwi 50 2500 Poor
4 Anisa Fauziah 70 4900 Good
5 Astuti 65 4225 Fair
6 Cahya Magfirah 50 2500 Fair
7 Dedi Saputra 90 8100 Very Good
8 Fatma Ridwan 70 4900 Good
9 Fitra Ramadani 55 3025 Poor
10 Mutmainna 50 2500 Poor
11 Luzianti 60 3600 Fair
12 Nadiansyah Amir 40 1600 Poor
13 Nurdiana 50 2500 Poor
14 Nurul Aulia Wahdania 75 5625 Good
15 Nur Zahra 65 4225 Fair
16 Rahmadani 85 7225 Very Good
17 Rasmi 55 3025 Poor
18 Rapli 40 1600 Poor
19 Sindi Novita Sari 30 900 Very Poor
20 Suryana Sakri 55 3025 Poor
∑ 1170 73200
From the table 4.1 it showed that there were 1 student got very poor, there were 9 got poor, there were 4 studets got fair, there were 4 students got good and just 2 students got very good. However, the total score was 1170 from the overall students achieved of their vocabulary.
It means that there were still many students had low score or lack of vocabulary in pre-test. In other words, the researcher could conclude that most of the students got fair score.
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Furthermore, for looking the mean score and standard deviation of the students’ skill in pre-test, the researcher had calculated it. The result can be presented as follow:
Mean score of the pre-test:
𝑋̅ =𝛴𝑥 𝑛 𝑋̅ =1170
20 𝑋̅ = 58,5
So, the mean score pf pre-test was 58,5.
After determining the mean score of pre-test was 58,5 it could be seen that students’ vocabulary mastery was in fair category. The researcher use classification students score from the table 3.1 to know the mean score in pre-test was in fair category. Because score in fair was 56-65 and score of pre-test was 58,5.
The standard deviation of the pre-test.
𝑆𝐷 =√𝛴𝑋2−(𝛴𝑋)2 𝑁 𝑁 − 1 𝑆𝐷 =√73200 −
(1170)2 20 20 − 1 𝑆𝐷 = √73200 −1368900
20 19 𝑆𝐷 = √73200 − 68445
19 𝑆𝐷 = √4755
19 𝑆𝐷 = √250,26 𝑆𝐷 = 15,81
Thus, the standard deviation of the pre-test was 15,81. After determining the mean score of pre-test was 58,5 and standard deviation of the pre-test was 15,81, it could be seen that the students’ vocabulary mastery were in fair category.
In other side, the researcher also had written the students’ score of correct answer before giving treatment by observe and remember game and it presents through the table rate percentage scores. It can be seen in table 4.2.
Table 4.2 Students’ Classification score in pre-test
Based on table classification 4.2 above, it shows the percentage of students’ score in pre-test that there were 2 (10%) students classified as very good, there were 4 (20%) students classified asgood and fair, there were 9 (45%) students classified as poor, and there were 1 (5%)student classified as very poor. It means that the students’ skill still fair.
b. The Students’ Vocabulary Score in Post-test
After giving treatment, the researcher gave more tests, namely post-test to know the section, the researcher shows the students’ score in post-test, the mean score and the rate percentage of students’ vocabulary in post-test. The result was shown in the following table:
Classification Score Frequency Percentage (%)
1 Very Good 80 – 100 2 10%
2 Good 66 – 79 4 20%
3 Fair 56 – 65 4 20%
4 Poor 40 – 55 9 45%
5 Very Poor ≤ 39 1 5%
Total 20 100%
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Table 4.3 Student’s Post-test Score based on Vocabulary Test
No Students Score
X1
Score
(X1)2 Classification 1 Andi Asti Widya Sari 100 10000 Very Good
2 Andi Nur Astika 65 4225 Fair
3 Anggi Pratiwi 75 5625 Good
4 Anisa Fauziah 100 10000 Very Good
5 Astuti 90 8100 Very Good
6 Cahya Magfirah 85 7225 Very Good
7 Dedi Saputra 90 8100 Very Good
8 Fatma Ridwan 90 8100 Very Good
9 Fitra Ramadani 75 5625 Good
10 Mutmainna 80 6400 Very Good
11 Luzianti 75 5625 Good
12 Nadiansyah Amir 65 4225 Fair
13 Nurdiana 70 4900 Good
14 Nurul Aulia Wahdania 85 7225 Very Good
15 Nur Zahira 75 5625 Good
16 Rahmadani 85 7225 Very Good
17 Rasmi 80 6400 Very Good
18 Rapli 50 2500 Poor
19 Sindi Novita Sari 55 3025 Poor
20 Suryana Sakri 75 5625 Good
∑ 1565 125775
From the table 4.3 it showed that there were 2 students got poor, 2 students got fair, there were 6 students got good and 10 students got very good. However, the total score was 1565 from the overall students achieved of their vocabulary. It means that the students’ vocabulary was improvement.
Furthermore, for looking the mean score and standard deviation of the students’ skill in pre-test, the researcher had calculated it. The result can be presented as follow:
Mean score of the post-test 𝑋̅ =𝛴𝑥
𝑛 𝑋̅ =1565
20 𝑋̅ = 78,25
So, the mean score of post-test was 78,25.
After determining the mean score of post-test was 78,25 it could be seen that students’ vocabulary mastery was in good category. From the table 3.1 good category 66-79.
The standard deviation of post-test 𝑆𝐷 =√𝛴𝑋2−(𝛴𝑋)2
𝑁 𝑁 − 1 𝑆𝐷 =√125775 −
(1565)2 20 20 − 1
𝑆𝐷 = √125775 −2449225 20 19
𝑆𝐷 = √125775 − 122461,25 19
𝑆𝐷 = √3313,75 19 𝑆𝐷 = √174,40 𝑆𝐷 = 13,2
Thus, the standard deviation of the post-test was 13,2. After determining the mean score of post-test was 78,25 and standard
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deviation of the post-test was 13,2. It could be seen that the students’
vocabulary mastery were in good category.
In other side, the researcher also had written the students’ score of correct answer before giving treatment by observe and remember game and it presents through the table rate percentage scores. It can be seen in table 4.4
Table 4.4 Students’ Classification score in Post-test
Based on table classification 4.4 above, it shows the percentage of students’ score in post-test that there were 10 (50%) students classified as very good, there were 6 (30%) students classified as good, there were 2 (10%) students classified as fair, and so there were 2 (10%) students classified as poor. It means that the students’ skill in vocabulary mastery was improvement.
2. The Overall Result of Pre-Test and Post-Test in Students’ Vocabulary