2. Result of Writing Ability of Descriptive Text
The instrument of the test used the writing form. The writer asked the students to make descriptive text based on the topics given by the writer. The test was aimed to
measure the students’ ability in writing. The writer measured their score based on Tribble’s assessment see Page 41. The result of writing ability of descriptive text
can be seen on Table 12.
Table 12 The Score of Students’ Writing Ability of Descriptive Text
No Name
Yi
1 Ahmad Fauzan
62 2
Al Himny Rusdy 65
3 Ani Saputri Oktaviani
55 4
Annisa Oktaviani 65
5 Annisa Satari Putri
55 6
Boby Pratama Jaya 82
7 Dianida Anggraini
74 8
Dwi Ari Santoso 56
9 Dyah Fitri Inayati
69 10
Faris Suci Senaila 73
11 Firnando Pratama
65 12
Ika Aryanti 59
13 Itmamul Wafa
65 14
Khoirotul M S 62
15 Kurnia Wati
70 16
M Arizon Brata 50
17 Makhrupul Karhi
74 18
Nanda Puspita Sari 77
19 Nurul Rahmadani
52 20
Qintari Henni S 59
21 Rafly Wirananda
72
22 Raihan Putra Ramadhan
62 23
Rama Ramadhan 58
24 Rani Yulistiani
65 25
Siti Husnul Khotimah 52
26 Sri Nanda Utami
65 27
Syabila Sukma A 68
28 Tri Ocsa Yulanda
77 29
Vaula Oktavia 62
30 Wulan Hapriparsyah P
74 31
Yeni Wulandari 58
32 Yulistina
66 33
Yulistio Aprianto 76
34 Yuni Saputri
60
∑
2184 Mean
64.23529412 Median
65 Mode
65
The data was counted by using Microsoft Excel formula, it showed that the mean of writing ability of descriptive text was 64.23
with formula =AVERAGE ‘ƩXn’. Furthermore, the median was 65
with formula =MEDIAN‘all of score X’, and the mode was 65
with formula =MODE‘all of score X’. The highest score was 82, and the lowest one was 50.
C. Result of Data Analysis 1. Fulfillment of the assumption
a. Result of Normality of the Data
The data are normal distributed if L
observed
L
critical
. H
O :
The data are normally distributed
H
a
: The data are not normally distributed The criteria are as follows:
Accept H if L
observed
≤ L
critical
Refuse H if L
observed
L
critical
The result of normality from adjective ability was 0.13 appendix 23, and the data was consulted to Liliefors table Appendix 22. For 34 students, the score of L
critical
is 0.15. Finally, if L
observed
is ≤ L
critical
, so the respondents were considered normal because 0.13 0.15. It means that Ho is accepted because L
observed
is lower than L
critical
, and the data has normal distribution. While the result of normality test of writing ability of descriptive text is marked by
L
observed
from the data gained. The result showed that L
observed
was 0.10 appendix 24, and the data was consulted to Liliefors table. For 34 students, the score of L
critical
is 0.15 see also Appendix 22. Finally, if L
observed
is ≤ L
critical
, so the respondents were considered normal because 0.10 0.15. It means that Ho is accepted because L
observed
is lower than L
critical
, and the data has normal distribution.
b. Result of Linearity Test
Before analyzing the data by using Pearson’s product moment formula, the writer checked out whether the data obtained were linear or not because this was one of
requirements to be able to use the Pearson’ product moment formula such in the explanation in chapter three. The writer used SPSS to check it in order to make the
writer easy because this program could make a clear graph of linearity. Based on the
table, the data were linear see Appendix 25, for the significance level was lower
than significant level α 0.00 0.05.
2. Result of Hypothetical Test
If the sample has normal distribution, it means Ho hypothesis is accepted. After obtaining the result of the tests, the writer drew the result of data correlation by using
scatterplot. Based on the scatterplot, it seemed that there is correlation between students’ adjective and writing descriptive text ability see Appendix 26.
Then the writer continued to count the correlation between students’ adjective and
writing ability. The data Appendix 27 was analyzed by using Pearson’s product
moment formula as follows in order to know the correlation of two variables.
r=
∑ ∑ ∑ √ ∑
∑ √ ∑
∑
N : 34
∑ : 2160
∑ : 2184
∑ : 140846
∑ : 142410
∑ : 141099
r=
√{ } {
}
r=
√{ } { }
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