items before 60 minutes. They finished the items around 45-50 minutes. Furthermore, the students did not have any problems for the instructions. It means
that they were able to understand the instruction. Thus, it could be concluded that the instruction was clear for the students to understand.
4.6 The Results of the Reading Posttest
The experimental group and the control group were given the same reading test. The test was administered after the experimental group got the
treatment. The schedule of the treatment is as follow: Table 4.4 The Schedule of Administering the Reading Posttest
No Group
Date 1
Control April 20
th
2015 09.50 – 10.40
2 Experimental
April 20
th
2015 10.50 – 11.40
4.6.1 The Analysis of the Reading Posttest
Based on SPSS output the result of main data could be seen in the following tables. The first table was “Group Statistics”. It gave information about
the total number of the students in each group N, the mean score of each class, standard deviation and standard error mean.
Table 4.5 The Results of the SPSS Output Table 1
Group Statistics
Class N
Mean Std. Deviation Std. Error Mean
Score 8A Control Group
36 48.92
13.105 2.184
8B Experimental Group 36
55.78 11.660
1.943
According to the table above, it was known that the total number of the students N for both the experimental group and control group was 72 students,
36 students in the experimental group and 36 students in the control group. The mean score of reading posttest Mean of the control group was 48.92, while that
of the experimental group was 55.78. The spread of a group score was shown as
the standard deviation Std. Deviation. The standard deviation of the control group was 13.105, while the standard deviation of the experimental group was
11.660. Then, the standard error mean Std. Error Mean for the control group was 2.184, while the experimental group was 1.943.
In the table above, the analysis of Independent sample t-test was divided in two steps. The first was the test of equality of variances F
test
and the second was the test of equality of mean score T
test
. F
test
was used to analyze the two variances whether they were equal or not, while T
test
was used to analyze the mean score of the two classes whether they were the same or not. The first column
in the table of the score above showed that F value was 0.363 with the sig. 0.549. The sig. value was higher than 0.05. So, H
was accepted and H
1
was rejected. It means that the variances of the two groups the experimental group and the
Table 4.6 The Results of the SPSS Output Table 2
Independent Samples Test
Levenes Test for Equality of Variances
t-test for Equality of Means 95 Confidence
Interval of the Difference
F Sig.
T Df
Sig. 2- tailed
Mean Differenc
e Std.
Error Differe
nce Lower
Upper Score Equal
variances assumed
.363 .549
-2.347 70
.022 -6.861
2.923 -12.692
-1.030
Equal variances not
assumed -2.347
69.066 .022
-6.861 2.923
-12.693 -1.029
control group were the same. The Equal variances assumed should be read because the two classes were equal in the scores of their reading test.
In the second column T
test
, it showed that the sig. value 2-tailed was 0.022. It was less than 0.05. So, H
was rejected and H
1
was accepted. It means that the scores of the two groups were different.
4.7 The Hypothesis Verification
