0.378, which means that 0.378 0.05 and the significant value of Y is 0.137, which means that 0.137 0.05. Hence, it can be concluded that all the data are
normally distributed. As supported by Syofian Siregar statement about the degree of normality test:
Hypothesis: H
o
: Population are normally distributed H
1
: Population are not normally distributed randomly distributed Criteria of normality test are:
H
o
is rejected if probability of significant value 0.05 H
is accepted if probability of significant value 0.05
1
Additionally, to visualize the normality of data, the writer use Q-Q plot in SPSS 20 as the description. The normality result presented in the picture below:
Figure 4.3 The Normal Q-Q Plot of Anxiety Score
1
Syofian Siregar, Statistika Deskriptif untuk Penelitian, Jakarta: Rajawali Press, 2011, p. 256
Figure 4.4 The Normal Q-Q Plot of English Descriptive Reading Comprehension Score
4. The Correlational Result
Table 4.5 The Result of Correlation Calculation
Correlations
Anxiety Scores Reading Comprehension Score
Anxiety Scores Pearson Correlation
1 ,045
Sig. 2-tailed ,781
N 40
40 Reading Comprehension
Score Pearson Correlation
,045 1
Sig. 2-tailed ,781
N 40
40
From the table, the writer describes that r coefficient is 0.045 and the sig, 2- tailed is 0.781. Then the writer looked at r table as mentioned in chapter III.
From the table, r
result
is included in the first category 0.00-0.199 that
describes there is very low correlation between X variable and Y variable. The result showed r
xy
r
table
= 0.045 0.312. Further, based on the t
test
result, with the significance value 0.05, the writer got t
result
t
table
= 0.278 2.024 and it proves insignificant correlation. It means that Ho is accepted and Ha is rejected. It can be
concluded that the higher students’ anxiety does not guarantee the lower students’
English descriptive reading comprehension or else it can be stated that there is no significant relationship between students’ anxiety and their English descriptive
reading comprehension.
C. The Interpretation of the Data
Based on the analysis above, there is no significant relationship between students’ anxiety and their English descriptive reading comprehension. In the data
analysis, the result of normality test both questionnaire and English descriptive reading comprehension test showed that the data are normally distributed. After
that, Pearson Product Moment formula was conducted to know the result of hypotheses. Then, the result showed rt
able
r
result
, it means that Ho is accepted. Therefore, it can be stated that there is no significant relationship between
students’ anxiety and their English descriptive reading comprehension. Moreover, in the analysis of the students
’ anxiety and their English descriptive reading comprehension showed r
xy
rt
able
= 0.045 0.312. Thus, it means that there is very low correlation as compared with the level of correlation.
The score 0.045 is included in range 0.00-0.199 which means that there is very low correlation between X and Y variable. Hence, t
he higher students’ anxiety does not guarantee the lower students
’ English descriptive reading comprehension or else it can be stated that there is no significant relationship between students’
anxiety and their English descriptive reading comprehension.
D. The Discussion of the Data
The finding of the data analysis show that there is very low correlation between students
’ anxiety and their English descriptive reading comprehension or it can be stated that there is no significant
relationship between students’ anxiety and their English descriptive reading comprehension.
The result which indicates that there is no significant relationship between students
’ anxiety and their English descriptive reading comprehension gained some assumption that there are some possible factors that influence their English
descriptive reading comprehension. As mentioned by Cabansag “motivation,
attitudes, anxiety, learning achievement, aptitudes, intelligence, age personalities
