Y : Distribution of students’ speaking score
: Total score of students’ interest distribution : Total score of students’ speaking score distribution
: Total numbers of X multiplied by Y : Guarded from X
: Guarded from Y
Significant critical value : 0.05 and 0.01
Criteria : If ro rt means there is correlation and H α is accepted, Ho is rejected.
If ro rt means there is no correlation and H α is rejected, Ho is
accepted. Ho
: There is no significant correlation between students’ interest and their speaking score.
H α
: There is a significant correlation between stu dents’ interest and their
speaking score.
B. RESEARCH FINDINGS
1. Data Description
As mentioned in the research methodology, to get the data, the writer conducted a research by giving a questionnaire about students’
interest in speaking to 50 students as a sample. After the data were collected, she analyzed them to know how many students having high
interest and how many students having low interest. Second, to get the data about students’ speaking score, the writer
took from the English teacher. Finally, after the writer analyzed both data to see the correlation
between students’ interest and their speaking score by applying the formula of Pearson Product Moment Correlation.
1 Students’ Interest Score
In this case, students’ interest in speaking is as independent variable X. To know it, the writer gave questionnaire to 50
students as a sample.
2 Students’ Speaking Score
In this case, Students’ speaking Score is a dependent variable Y. To know it, the writer took the students’ speaking score from the
English teacher. Below are the result of questionnaire about students’ interest in
speaking and their speaking score:
Table 3.2 The Students’ Interest and Their Speaking Score
N Students’ Interest Score
X Students’ Speaking Score
Y
1 101
72 2
100 70
3 95
70 4
93 68
5 104
80 6
96 85
7 98
74 8
104 70
9 84
72 10
89 75
11 93
74 12
101 82
13 96
70 14
95 71
15 91
68 16
94 70
