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=
√{ } { }
r=
√{ } { }
r=
√
r= r=
0.8482557
r
critical
was gotten from df which was consulted to r
critical
Appendix 28, where df = n – 2 = 34 – 2 = 32. Because there is no df = 32 on the table, hence the writer used
proximate df = 35. It was gotten that r
critical
= 0.325. The result of hypothesis test is 0.8. Moreover, the result of r
critical
0.05 from 34 samples is 0.325. Therefore, it can be seen that the result is significant in the range of 0.05. In this case, Ha is accepted
because the score of r
observed
r
critical
0.8 0.325. Then, it can be assumed that there is a correlation of students’ in using adjective and writing descriptive ability. The
criteria that could be used to grade the interpretation of the coefficient as table 8 in chapter 3. Based on the table, we could know that the r
observed
is very high because the value of r
observed
0.8 was in the level of 0.80 to 1.00.
D. Discussion
The finding of the research shows that there is correlation of students’ adjective ability and writing descriptive text ability. The result was gotten from collecting and
analyzing the data taking from test by using Product Moment formula. There are two
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