Respondent Listening Score
15 68.75
16 93.75
17 80
18 85
19 71.25
20 86.25
21 86.25
22 90
23 71.25
24 72.5
25 85
26 85
27 80
28 92.5
29 72.5
30 87.5
TOTAL 2439.25
Average 81.3
Max 97.5
Min 67.5
Figure 4.6 The Grouped Distribution of Listening Scores
3 8
4 9
5
1 1
2 3
4 5
6 7
8 9
10
65 – 70
71 – 76
77 – 82
83 – 88
89 – 94
95 – 100
F r
e que
nc y
Listening Scores
B. The Analysis of the Data
1. Normality and Linearity Test
The normality of the data was checked by using SPSS Statistics program. The tests used were Kolgomirov-Smirnov and Shapiro-Wilk.
Table 4.5 The Normality Test Results of the Data
VARIABLES
Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
df Sig.
Statistic df
Sig. Movie-watching
Activity x .146
30 .101
.972 30
.604
Listening Skill y .135
30 .174
.952 30
.197
a =
Lilliefors Significance Correction
The test results showed that the Kolmogorov-Smirnov significance value for variable x was 0.101 and for variable y was 0.174. The Shapiro-Wilk significance
value for variable x was 0.604 and for variable y was 0.197. All of the values were higher than 0.05, which means that the data were distributed normally.
Table 4.6 The Linearity Test Results of the Data VARIABLES
Sum of Squares
df Mean
Square F
Sig. Listening Skill
Movie-watching Activity
Between Groups
Combined 1116.638
19 58.770
.601 .837
Linearity 65.456
1 65.456
.670 .432
Deviation from Linearity
1051.181 18
58.399 .597
.836 Within Groups
977.573 10
97.757 Total
2094.210 29
The linearity of the data was also checked by using SPSS Statistics program. The significance value of the variables was found to be 0.432, which is higher
than 0.05. It means that the data distribution was linear. Since the data distribution was normal and linear, the statistical analysis would use parametric procedure,
which was Product Moment Correlation.
2. Correlation Coefficient
In order to find the correlation coefficient, the questionnaire scores variable x and listening scores variable y were calculated by using Product Moment
Correlation statistical procedure. The formula is: ∑ ∑ ∑
√[ ∑ ∑
][ ∑ ∑
]
To find the values needed in the formula, the data from variable x and y are put into a calculation table.
Table 4.7 Product Moment Calculation Table
N X
Y XY
X
2
Y
2
1 67
67.5 4522.5
4489 4556.25
2 70
68 4760
4900 4624
3 85
75 6375
7225 5625
4 89
92.5 8232.5
7921 8556.25
5 79
81.25 6418.75
6241 6601.563
6 65
83.75 5443.75
4225 7014.063
7 77
86.25 6641.25
5929 7439.063
8 76
90 6840
5776 8100
9 71
71.25 5058.75
5041 5076.563
10 78
76.25 5947.5
6084 5814.063
11 80
97.5 7800
6400 9506.25
12 83
81.25 6743.75
6889 6601.563
13 64
75 4800
4096 5625
14 77
86.25 6641.25
5929 7439.063
15 79
68.75 5431.25
6241 4726.563
16 78
93.75 7312.5
6084 8789.063
17 83
80 6640
6889 6400
18 70
85 5950
4900 7225
19 79
71.25 5628.75
6241 5076.563
20 86
86.25 7417.5
7396 7439.063
21 69
86.25 5951.25
4761 7439.063
22 77
90 6930
5929 8100
23 76
71.25 5415
5776 5076.563
24 81
72.5 5872.5
6561 5256.25
25 84
85 7140
7056 7225
