1. The Frequency of the Data
Table 4.2 The frequency of Anxiety Score
Anxiety Score
Frequency Percent
Valid Percent Cumulative Percent
Valid 40
1 2,5
2,5 2,5
42 1
2,5 2,5
5,0 46
1 2,5
2,5 7,5
47 1
2,5 2,5
10,0 49
4 10,0
10,0 20,0
50 3
7,5 7,5
27,5 51
1 2,5
2,5 30,0
52 3
7,5 7,5
37,5 53
1 2,5
2,5 40,0
55 1
2,5 2,5
42,5 56
2 5,0
5,0 47,5
58 3
7,5 7,5
55,0 59
5 12,5
12,5 67,5
60 1
2,5 2,5
70,0 61
2 5,0
5,0 75,0
62 1
2,5 2,5
77,5 64
1 2,5
2,5 80,0
65 1
2,5 2,5
82,5 66
2 5,0
5,0 87,5
67 2
5,0 5,0
92,5 69
2 5,0
5,0 97,5
70 1
2,5 2,5
100,0 Total
40 100,0
100,0
Table 4.3 The Frequency of English Descriptive Reading Comprehension Score
Reading Comprehension Score
Frequency Percent
Valid Percent Cumulative Percent
Valid 50
1 2,5
2,5 2,5
55 1
2,5 2,5
5,0 60
1 2,5
2,5 7,5
65 4
10,0 10,0
17,5 70
7 17,5
17,5 35,0
75 5
12,5 12,5
47,5 80
6 15,0
15,0 62,5
85 9
22,5 22,5
85,0 90
4 10,0
10,0 95,0
95 2
5,0 5,0
100,0 Total
40 100,0
100,0
2. The Histogram
Through histogram, the writer can see how the distribution of data is distributed as below:
Figure 4.1 The Anxiety Score
Figure 4.2 The English Reading Comprehension Score
3. The Normality Test
The writer used SPSS Statistic 20 to count the normality of each instruments. The instruments would be normal distribution if the result of calculation from
SPSS Statistic 20 showed less than the result from Shapiro-Wilk table with the
number of sample n is 40. These tests are valued using SPSS Statistic 20. The normality Using One-
Sample Shapiro-Wilk test results can be seen as bellow:
Table 4.4 The Normality Data of variable X and Y
Tests of Normality
Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
df Sig.
Statistic df
Sig. Anxiety Scores
,101 40
,200 ,971
40 ,378
Reading Comprehension Score
,146 40
,032 ,957
40 ,137
. This is a lower bound of the true significance. a. Lilliefors Significance Correction
From the result above, it can be seen that both anxiety score and English descriptive reading comprehension score data are categorized normally distributed
because the value of significant are higher than 0.05. The significant value of X is
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
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