3. Post-test The post-test was given after the writer had gave treatment. It was used to
know whether or not the students understood the degrees of comparison.
F. Data Analysis
After the writer getting student s’ scores of comparison degrees pre-test
and post-test between experimental and control classes, the writer analyzed the data by using requirement tests before. It consisted of normality and
homogeneity test.
1. Normality test
Normality test is to determine whether the data from population spread normally or not.
4
The purpose of the normality test is to ensure the distribution of data taken from the population had normal distribution or
not. Normality test used is the Liliefors test. The writer tested normality test
by using SPSS 18. The criteria of the testing follow:
If the value p significant α =0,05 it means that the sample from the population, H
o
was accepted and H
1
was rejected normal distribution.
If the value p significant α =0,05
it
means H
o
was rejected and H
1
was accepted not normal distribution.
2. Homogeneity test
Homogeneity test is to know whether the variance in population of the research is homogenous or not. Homogeneity test was used to measure
the data of the population whether it is homogenous or not. The writer used
SPSS 18 in this research. The criteria of the testing are as follows:
a. If the value p significant α =0,05, H is accepted, it means
that sample has homogenous variance which means the students had the same character on mastery of comparison degrees.
Moreover, if it is homogeneous, the data will be valid.
4
Budi Susetyo, Statistika untuk Analisis Data Penelitian, Bandung: Aditama, 2010, p. 137.
b. If the value p significant α =0.05, H
is rejected, it means that sample does not have homogenous variance which means, the
students had not the same character on mastery of comparison degrees.
3. T-test formulation
The writer analyzed the scores between experimental and control classes. This test assumed that the data are normally distributed. The
technique of data analysis in this study was statistical analysis with t-test to know the effectiveness of inductive technique on
students’ mastery of comparison degrees which is the significance
α= 0,05. The formula is as follows
5
:
� = �̅ − �̅
� √� + � ��ℎ �̅ =
∑ � � ��� �
̅ = ∑ �
�
� = √
� − � + � − � � + � −
Description: �
�
= the price of t value �̅
= average score of the experimental class �̅
= average score of the control class �
= variant data of the experimental class �
= variant data of the control class � = standard deviation of both classes
� = the total students of the experimental class
� = the total students of the control class
5
Dr. Kadir, M.Pd, Statistika untuk Penelitian Ilmu-ilmu Sosial.Jakarta: Rosemata Sampurna, 2010, p. 195.
After all of the data calculated, the last procedure is determining of df degree of freedom. The formula:
df = N
1
+ N
2
- 2 The criteria of the testing are as follows:
If �
�
≤ �
�
, H is accepted and H
a
is rejected If
�
�
�
�
, H is rejected and H
a
is accepted
4. Mean
