4.3 Normality Test of Pre-test and Post-test Data
This test is used to know whether the data that will be analyzed have normal distribution or not. Here, the writer used chi-square formula.
å
=
- =
k i
i i
i
E E
O
1 2
2
c Where:
2
c = chi square
i
O = observation frequency
i
E = expected frequency K = the numbers of interval class
i = 1, 2, 3, ...., k Sudjana, 2005: 273
The writer compared chi-square value with chi-square table with significance level 5, if
χ
2 value
χ
2 table
, the data is normally distributed. The first data that was be analyzed was taken from the pre-test score of
reading comprehension of hortatory exposition text. From the computation the writer got
χ
2 value
= 2.08; with criteria a = 5 and df = k-1, χ
2 table
= 12.59. Because
χ
2 value
χ
2 table,
it can be concluded that the pre-test score of experimental group is normally distributed. Appendix 8
The second data that was be analyzed was taken from the post-test score of reading comprehension of hortatory exposition text. From the computation the
writer got χ
2 value
of experimental group was 5.48; with criteria a = 5 and df =
k-1, χ
2 table
= 12.59 Because χ
2 value
χ
2 table,
it can be concluded that the post-test score of experimental group is normally distributed. Appendix 9
Table 4.1 Normality Test of Pre-test and Post-test Data No. Test
χ
2 value
χ
2 table
Criteria
1. Pre-test
2.08 12.59
Normally distributed 2.
Post-test 5.48
12.59 Normally distributed
4.4 Significant Difference between Two Means of Pre-test and Post-Test
To know the significant different between two means of pre-test and post test, the writer did computation as follow:
Table 4.2 Significant Difference between Pre-test and Post-Test NO.
Subject Pre-test
Post-test Differences d
d
2
1. E-01
63 73
10 100
2. E-02
73 76
3 9
3. E-03
83 90
7 49
4. E-04
73 76
3 9
5. E-05
73 80
7 49
6. E-06
66 73
7 49
7. E-07
66 63
-3 9
8. E-08
76 83
7 49
9. E-09
80 80
10. E-10
73 60
-13 169
11. E-11
80 83
3 9
12. E-12
70 83
13 169
13. E-13
80 80
14. E-14
83 86
3 9
15. E-15
50 70
20 400
16. E-16
63 70
7 49
17. E-17
66 66
18. E-18
63 66
3 9
19. E-19
76 73
-3 9
20. E-20
66 83
17 289
21. E-21
76 76
22. E-22
43 86
43 1849
23. E-23
60 76
16 256
24. E-24
63 70
7 49
25. E-25
70 73
3 9
26. E-26
76 73
-3 9
27. E-27
83 70
-13 169
28. E-28
63 83
20 400
29. E-29
66 76
10 100
30. E-30
86 83
-3 9
31. E-31
60 73
13 169
32. E-32
70 73
3 9
33. E-33
56 70
14 196
34. E-34
63 76
13 169
35. E-35
83 63
-20 400
36. E-36
63 66
3 9
37. E-37
76 70
-6 36
38. E-38
76 66
-10 100
39. E-39
86 80
-6 36
40. E-40
86 96
10 100
∑
2828 3013
185 5509
Mean x
1
= 70.7 x
2
= 75.325 Md = 4.625
137.725
From the data on Table 4.2, the mean scores between pre-test and post-test increased from 70.7 to 75.325. Therefore, the increase of score from pre-test to
post-test was 4.625. This data showed that there was a significant difference between pre-test and post-test scores.
4.5 Test of Significance
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