Table 3.5 The Interpretation of Coefficient Correlation of ‘r’ Value
14
Coefficient Interpretation
0.00 - 0.199 There is a correlation between variable X and
variable Y, but the correlation is very low. It is considered that there is no significant
correlation in this rating. 0.20 - 0.399
There is a correlation between variable X and variable Y, but it is low.
0.40 - 0.599 There is a correlation between variable X and
variable Y. The value is moderate. 0.60 - 0.799
There is a high correlation between variable X and variable Y.
0.80 - 1.00 There is a very high correlation between
variable X and variable Y.
G. Statistical Hypothesis
The statistical hypothesis of this study can be seen as: H
: r ≤ r
table
H
a
: r
r
table
The criterion used to answer the hypothesis of this study was described as follows:
1. If r
≤ r
table
in significant degree of 0.05, Ho null hypothesis is accepted. It means that
there is no significant correlation between students’ anxiety
14
Sugiyono, Statistika untuk Penelitian, Bandung: Alfabeta, 2014, p. 231.
and their English reading skill of the tenth year student at SMK Negeri 3 Kota Tangerang.
2. If r
r
table
in significant degree of 0.05, Ho null hypothesis is rejected. It means that
there is significant correlation between students’ anxiety and their English reading skill of the tenth year at SMK Negeri 3 Kota
Tangerang.
29
CHAPTER IV RESEARCH FINDINGS AND DISCUSSIONS
A. Description of the Data
This chapter describes general description of data gained by researcher during the research. The data were collected from the result of questionnaire
and students’ reading score from their daily test. The validity and reliability instrument test was conducted before the researcher administered the test to
both classes. There were 33 numbers of statements given to the 119 students of
tenth grade students of SMK Negeri 3 Kota Tangerang. From the validity and reliability test, all the statements in the questionnaire were valid and reliable.
In addition, this study aims to know whether there is significant correlation between students’ anxiety and their English reading skill.
Before answering the research question of this study, these are the data description of this research have been obtained.
Table 4.1 Descriptive Statistics
N Minimum
Maximum Mean
Std. Deviation Anxiety
119 72
135 105.92
12.591 Reading
119 60
88 75.41
6.037 Valid N listwise
119
From the Table 4.1, it can be seen that the total of the data N in each variable is 119. The minimum score of students’ anxiety variable X is 72 and
the maximum score is 135, the mean score is 105.92 with standard deviation score is 12.591. Meanwhile, the minimum score of the students’ reading skill
variable Y is 60 and the maximum score is 88, the mean score is 75.41 with standard deviation 6.037.
In this part, the writer wants to investigate the main purpose of this research. Because of the data was normally distributed, the writer used
statistic calculation of the Pearson Product Moment Formula to analyze the data of students’ anxiety and their English reading skill.
To make easier, the writer made a table with six columns; they were No, X, Y, XY, X
2
, and Y
2
. Column X was for Foreign Language Classroom Anxiety Scale FLCAS questionnaire score of the sample, column
Y was for reading score of the sample, column XY was for the results of multiplying score X and Y, X
2
was for quadrate of each score in column X, and Y
2
was quadrate for each score in column Y. These are the table of the explanations above:
Table 4.2 Correlation Table
Student X
Y XY
X
2
Y
2
1 123
65 7995
15129 4225
2 81
85 6885
6561 7225
3 98
80 7840
9604 6400
4 104
70 7280
10816 4900
5 118
70 8260
13924 4900
6 96
75 7200
9216 5625
7 99
75 7425
9801 5625
8 114
70 7980
12996 4900
9 106
75 7950
11236 5625
10 105
75 7875
11025 5625
11 91
85 7735
8281 7225
12 97
80 7760
9409 6400
13 106
75 7950
11236 5625
14 117
75 8775
13689 5625
15 101
75 7575
10201 5625
16 97
75 7275
9409 5625
17 114
75 8550
12996 5625
