25 57
63 6
26 65
68 3
27 64
71 7
28 48
62 14
29 58
63 5
30 72
76 4
31 66
71 5
32 69
78 9
∑ � = 2019 ∑ � = 2242
∑ � = 218 �� = 63.09
�� = 70.06 �� = 6.81
From the table of experiment and control class’ pre-test and post-test result, we can conclude that there is significant effect of using guided question in
experimental class. The average of pre-test in control class and the average of pre-test in experimental class have not much difference which experiment is
65,13 and control class is 63,09. It shows that there is not much difference in
students’ understanding about narrative writing at the beginning. They almost have same basic ability about it.
Then, in the post-test, the average in experiment class is increase
significantly, which is 86,19. The lowest score of experiment class in pre-test is 48
when the highest score is 78. The lowest score of experimental class in post- test is 72 when the highest score is 98.
Comparing with experiment class, control class which did not give any
treatment, the average score of post-test is 70,06. The lowest score of control class in pre-test is 48 when the highest score is 78. The lowest score of control
class in post-test is 51 when the highest score is 80.
Then, by seeing the KKM 75 in both classes, the experiment class has more students who get higher than KKM compared with controlled class.
Tabel 4.3
The comparision of Experiment and Control Class
Students x
y X
Y X
2
Y
2
1 21
7 -0.06
0.19 0.00
0.04 2
22 7
0.94 0.19
0.88 0.04
3 19
2 -2.06
-4.81 4.25
23.16 4
12 2
-9.06 -4.81
82.13 23.16
5 45
8 23.94
1.19 573.00
1.41 6
7 6
-14.06 -0.81
197.75 0.66
7 37
6 15.94
-0.81 254.00
0.66 8
22 6
0.94 -0.81
0.88 0.66
9 25
4 3.94
-2.81 15.50
7.91 10
17 10
-4.06 3.19
16.50 10.16
11 21
15 -0.06
8.19 0.00
67.04 12
25 5
3.94 -1.81
15.50 3.29
13 39
11 17.94
4.19 321.75
17.54 14
23 1
1.94 -5.81
3.75 33.79
15 19
13 -2.06
6.19 4.25
38.29 16
21 14
-0.06 7.19
0.00 51.66
17 25
10 3.94
3.19 15.50
10.16 18
20 11
-1.06 4.19
1.13 17.54
19 8
5 -13.06
-1.81 170.63
3.29 20
8 14
-13.06 7.19
170.63 51.66
21 46
5 24.94
-1.81 621.88
3.29 22
5 1
-16.06 -5.81
258.00 33.79
23 15
1 -6.06
-5.81 36.75
33.79 24
7 1
-14.06 -5.81
197.75 33.79
25 24
6 2.94
-0.81 8.63
0.66 26
18 3
-3.06 -3.81
9.38 14.54
27 22
7 0.94
0.19 0.88
0.04 28
20 14
-1.06 7.19
1.13 51.66
29 32
5 10.94
-1.81 119.63
3.29 30
5 4
-16.06 -2.81
258.00 7.91
31 30
5 8.94
-1.81 79.88
3.29 32
14 9
-7.06 2.19
49.88 4.79
∑ � = 674 ∑ � = 218 ∑ � = 0 ∑ � = 0 ∑ �� =3489.88 ∑ �� = 552.88 �� =21.06 �� =6.81
Comparing gain value in table above, experiment class got higher gain
value, it is between 5 to 46 where in control class got gain value between 1 to 15.
The average data of gain value of experiment class also higher than in control
class, where in experiment class got 21,06 and in control class got 6,81.
B. Normality of the Data
Before analyzing the data, to prove the hypothesis and interpreting the data, the writer had to analyze the normality of the data. This analysis is used to see
whether the data of the research has been normally distributed or not. When it is normally distributed, it means the data is normal and can represent the
population. Because of the object of this study belongs to little sample, it is recomended using Lillyfors. In this formula, the data was transformed into the
basic value. The maximum dispute T got from the calculation must be in absolute value +. The result of normality can be seen by comparing the value of
T
max
to T
table.
1. Normality of pre-test in Experiment Class
Hypotheses H
o
= Data of X is normally distributed H
1
= Data of X is not normally distributed Criteria of the test:
In the significant degree of 0,05, the value in the table of Lilyfors shows: T
0,0532
= 0, 157 H
= T 0,157 H
1
= T 0,157 The result showed that T
max
T
table
0,152 0,157, it means that the data is normally distributed.
Table 4.4
Calculation of Pre-test Normality in Experimental Class
xi f
fx x2
fx2 p=fn z=xi-Ms
Φ Σp
T=Φ-Σp
47 1
47 2209
2209 0.03
-1.666 0.048
0.031 0.017
48 3
144 2304
6912 0.09
-1.564 0.059
0.125 -0.066
49 1
49 2401
2401 0.03
-1.462 0.072
0.156 -0.084
50 1
50 2500
2500 0.03
-1.360 0.087
0.188 -0.101
52 1
52 2704
2704 0.03
-1.156 0.124
0.219 -0.095
55 1
55 3025
3025 0.03
-0.850 0.198
0.250 -0.052
61 1
61 3721
3721 0.03
-0.238 0.406
0.281 0.125
64 1
64 4096
4096 0.03
0.068 0.527
0.313 0.152
66 2
132 4356
8712 0.06
0.272 0.607
0.375 0.132
67 3
201 4489
13467 0.09
0.374 0.646
0.469 0.117
68 1
68 4624
4624 0.03
0.476 0.683
0.500 0.113
70 4
280 4900
19600 0.13
0.680 0.752
0.625 0.111
71 2
142 5041
10082 0.06
0.782 0.783
0.688 0.095
72 1
72 5184
5184 0.03
0.884 0.812
0.719 0.093
73 5
365 5329
26645 0.16
0.986 0.838
0.719 0.119
74 1
74 5476
5476 0.03
1.088 0.862
0.906 -0.045
75 2
150 5625
11250 0.06
1.190 0.883
0.969 -0.086
78 1
78 6084
6084 0.03
1.496 0.933
1 -0.067
1140 32
2084 74068
138692 1
0.152 63.333
115.778 4114.889 7705.111
�
2
= ∑ ��
2
� − � ∑ ��
� �
2
= 138692
32 − �
2084 32
�
2
= 4334.1 − [65,1]
2
= 4334.1 − 4238.01
= 96.09 =
√96.09 = 9.8
S = 9.8
S
2
= 96.09 M
= 63.3 T
max
= 0.152 T
table
= 0.157
2. Normality of post-test in Experiment Class
Hypotheses H
o
= Data of X is normally distributed H
1
= Data of X is not normally distributed Criteria of the test:
In the significant degree of 0,05, the value in the table of Lilyfors shows: T
0,0532
= 0, 157 H
= T 0,157 H
1
= T 0,157 The result showed that T
max
T
table
0,091 0,157, it means that the data is normally distributed.
Table 4.5
Calculation of Post-test Normality in Experimental Class
xi f
fx x2
fx2 p=fn z=xi-Ms
Φ Σp
T=Φ-Σp
72 2
144 5184
10368 0.063
-1.843 0.033 0.063
-0.030 73
2 146
5329 10658
0.063 -1.707
0.044 0.125 0.081
74 1
74 5476
5476 0.031
-1.572 0.058 0.156
-0.098 77
1 77
5929 5929
0.031 -1.167
0.122 0.188 0.066
79 1
79 6241
6241 0.031
-0.896 0.185 0.219
-0.034 81
1 81
6561 6561
0.031 -0.626
0.266 0.250 -0.016
82 1
82 6724
6724 0.031
-0.491 0.312 0.281
0.031 83
1 83
6889 6889
0.031 -0.356
0.361 0.313 -0.049
85 2
170 7225
14450 0.063
-0.085 0.466 0.375
0.091 87
3 261
7569 22707
0.094 0.185
0.573 0.469 -0.105
88 3
264 7744
23232 0.094
0.320 0.626 0.563
0.063 89
2 178
7921 15842
0.063 0.455
0.676 0.625 -0.051
90 1
90 8100
8100 0.031
0.590 0.723 0.656
0.066 91
2 182
8281 16562
0.063 0.726
0.766 0.719 -0.047
93 2
186 8649
17298 0.063
0.996 0.840 0.781
0.059 94
2 188
8836 17672
0.063 1.131
0.871 0.844 -0.027
95 2
190 9025
18050 0.063
1.266 0.897 0.906
-0.009
