Table 4.4 The Classification of Difficulty Item
Number of Items Classification of Difficulty
Items 4, 5,7, 10, 11, 12, 15, 16,
17, 20, 21, 37, 43, 44, 45, 46, 49, 50
Very Easy 1, 13, 14, 19, 22,
32, 34, 35, 39 Easy
2, 3, 6, 9, 23, 24, 25, 27, 28, 29, 30, 31, 34, 38,
41, 42, 47, 48 Moderate
8, 18, 40 Difficult
4 Very Difficult
5. Normality Test
a. Pre-test of Experimental Class Hypotheses:
H : Data of X normaly distributed
H
1
: Data of Y is not normally distributed
Table 4.5 Normality of Pre-test of Experimental Class
Tests of Normality
Kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
df Sig.
Statistic Df
Sig. pretest
Experiment ,109
32 ,200
,962 32
,311 . This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Based on the table above, it can be seen that the significant from normality test of Shapiro-Wilk shows 0.311. Therefore, the significant
score is higher than 0.05 0.311 0.05. it means that H is accepted so the
data is normally distributed. b. Post-test of Experimental Class
Table 4.6 Normality of Post-test of Experimental Class
Tests of Normality
Kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
df Sig.
Statistic df
Sig. posttest
experiment ,125
32 ,200
,956 32
,207 . This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Based on the table above, it can be seen that the significant from normality test of Shapiro-Wilk shows 0.207. therefore, the significant score
is higher than 0.05 0.207 . 0.05. it means that H is accepted so the data is
normally distributed. c. Pre-test of Controlled Class
Table 4.7 Normality of Pre-test of Controlled Class
Tests of Normality
kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic Df
Sig. pretest
control ,091
32 ,200
,972 32
,560 . This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Based on the table above, it can be seen that the significant from normality test Shapiro-Wilk shows 0.560. Therefore, the significant score
is higher than 0.05 0.560 0.05. it means that H is accepted so the data
is normally dustributed. d. Post-test of Controlled Class
Table 4.8 Normality of Post-test Controlled Class
Tests of Normality
Kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic Df
Sig. Posttest
control ,124
32 ,200
,964 32
,356 . This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Based on the table above, it can be seen that the significant from normality test ShapiroWilk shows 0.356. Therefore, the significant score is
higher than 0.05 0.356 0.05. it means that H is accepted so the data is
normally distributed.
6. Homogeneity Test
Based on the calculation of normality, the writer got the result that all data in pre-test and post-test of both experiment class and controlled class
have been normality distributed. The next step of the claculation was finding the homogeneity of tha data. The purpose of this claculation was
to see whether the data sample in both classes homogenous or heterogeneous.
Hypotheses:
