Homogeneity Testing Analysis of Pretest and Posttest
the data is normal. Normality testing explains that the distribution of students’ score of upper and lower group is regular. Then, homogeneity testing is conducted, and the
result shows that the condition of the students from two classes is homogenous because the value of F
o
F
t
. The last step is testing the hypothesis by using t-test statistic formula with the
significance level α 5. Hypothesis testing is conducted to get the quantitative research finding. Normality and homogeneity testing are aimed to look at the
condition of data and to decide the formula of testing, so it uses parametric test to examine t-test statistic.
According to the result of t-test, it shows that the value of t
o
is 5.23 while t
t
shows the value 2.00. In short, hypothesis testing indicates that t
o
is higher than t
t
. The condition in which t
o
t
t
shows that null hypothesis H
o
is rejected. It means alternative hypothesis, “there is an influence of using entertaining Power Point media
on students’ understanding of Passive Voice”, is truly proven. The result of t-test statistic shows the entertaining Power Point media gives significant influence on
enhancing students ‘understanding of Passive Voice.