2. Test of Homogenity
Homogeneity test is used to know whether the data come from the homogeneous variance or not. After normality test gives indication that the data is
distributed normally, so it needs to do homogeneity test with Fisher test F test.
The steps of determining homogeneity are:
a. Dividing the larger variance by the smaller one. If the variances are similar to each other, the F-value will be close to 1. The more the variances differ, the
larger the F-value will be.
b. Comparing the obtained F-value to the appropriate one in the table. If the obtained F-value is equal to or larger from the table value, then the data is lack
homogeneity of variance
Hypothesis: Ho: The condition of experiment class is not different from controlled class.
H1: The sample of experiment class is different from controlled class. If F F
12α n1-1n2-2,
H
o
is accepted If F
F
12αv1,v2,
H
o
is rejected
3. Statistical T-test Formulation
The researcher conducted this test was to obtain the empirical evidence about the effectiveness of blog on students’ writing of narrative text. The researcher
calculated the data using the appropriate formula adopted one group pretest and posttest design so the formulation used below.
14
t = S
D
=
√
S
D
= √
̅
4. Statistical Hypothesis
The hypotheses of this research are:
H Null hypothesis X
1
X
2
: There is no effectiveness of blog on students’
writing of narrative text. H
1
Alternative hypothesis X
1
X
2
: There is effectiveness of blog on students’
writing of narrative text.
The formulation of the statistical hypothesis is as follows: H
0 :
t
value
t
table
H
1 :
t
value
t
table
14
Budi Susetyo, Statistika untuk Analisa Data Penelitian, Bandung: PT. Refika Aditama, 2010, p. 208.
33
CHAPTER IV FINDINGS AND DISCUSSION
This chapter consists of data description, data analysis and data interpretation
of the research. A.
Data Description
The research finding will be presented in the following description. The
finding was obtained from the pretest and postest of the students. 1.
The Score of Posttest and Pretest
In this research, the experimental class was the students of class X MIA 5 at SMAN 3 South Tangerang City. This class had 40 students including 16 males
and 24 females. But the data that the researcher composed included only 37 students because the writing of the 3 students did not fulfill the requirements that
the researcher asked. Based on the test given, the pretest mean score achieved was 72.432.
Moreover, the students’ lowest score achieved was 57 and the maximum one was 88. In addition, the standard deviation showed
57.086 and the variance pointed 57.086. After treatment, the mean score achieved was 76.378. It pointed that the
means score of posttest was higher that pretest. The students’ lowest score of
posttest achieved was 60 and the maximum one was 91. In addition, the data showed that the standard deviation pointed 72.509 and the variance was 52.575.
The Calculation of frequency distribution, mean, range, variance, and standard
deviation of pretest and posttest can be seen on the table 4.1 and 4.2.
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