this chapter the data presents the result from data analysis of t-test. The data will compare between post-test score of experimental group and control group.
1. Experimental Class Scores Analysis.
The score was given to find out the differences between before and after the treatment students of experimental group. The scores of the data
were analyzed by using SPSS 16 for windows.
Tabel 4.1 Descriptive Statistics
N Range
Minimu m
Maximu m
Mean Std.
Deviati on
Variance Statist
ic Statist
ic Statistic Statistic Statistic
Std. Error Statistic Statistic
PRETES T
29 5
7 12
10.62 .224
1.208 1.458
POSTTE ST
29 5
10 15
13.31 .180
.967 .936
Valid N listwise
29
The table shows that the mean of the pretest was 10.62, standard deviation was 1.208,variance was 1.458 and the minimum and maximum
scores were 7 and 12 while mean of the posttest was 13.31, standard deviation was 0.967, variance 0.936 and the minimum and maximum scores
were 10 and 15.
Before the paired sample statistic of T-Test performed the data of both must be normal and homogeneous. The normality test was conducted to
find out whether the data were normal or homogenous. a.
The Normal Distribution Test. In calculating the normal distribution, One- Sample Kolmogrof-
Smirnov test with level of sig. α = 0.05 was used. The result of normality
distribution test is presented in the following table.
Tabel 4.2 Normality Test of Experimental Class
PRETEST POSTTES
T N
29 29
Normal Parameters
a
Mean 10.62
13.31 Std. Deviation
1.208 .967
Most Extreme Differences
Absolute .278
.305 Positive
.204 .203
Negative -.278
-.305 Kolmogorov-Smirnov Z
1.500 1.644
Asymp. Sig. 2-tailed .022
.009 Test distribution is Normal.
From the result, it can be seen than the significance of pretest was 0.022 and the posttest was 0.09 which were higher than the level of
significance α – 0.05. Therefore it can be concluded that the scores of both are normality distributed.
b. The Variance Homogeneity Test.
In calculating the homogeneity of variance, The Levene Statistic with level of sig. α = 0.05 was used. The result of variance homogeneity
test is shown in the following table:
Tabel 4.3 Homogeneity Test of Experimental
Levene Statistic
df1 df2
Sig. VALUE Based on Mean
.592 1
56 .445
Based on Median .083
1 56
.774 Based on Median and
with adjusted df .083
1 51.774
.774 Based on trimmed mean
.264 1
56 .609
The test of homogeneity of variance show the probability based on mean of the homogeneity of variance test is higher than the level of
significance 0.4450.05. It means that the variance of both were equal. c.
The Computation of Experiment group scores. The computation of the Experimental group was done by using
matched t-test formula paired sample test in SPSS 16, in which the scores of pre-test and pos-
test were compared. The level of sig. α = 0.05 was used. The result of the statistical computation is presented in table.
Tabel 4.4 Paired Sample T-Test of Experimental Class
Paired Differences
T Df
Sig. 2- tailed
Mean Std.
Deviati on
Std. Error
Mean 95
Confidence Interval of
the Difference
Lower Upp
er Pair 1 PRETEST
– POSTTEST -2.690
.604 .112 -2.919
- 2.46
- 23.99
28 .000
The table shows that the probability is less than the level of significance 0.000 0.05. As a result, the null hypothesis of no
difference is rejected. After receiving simulation technique as a treatment, the experimental group’s speaking ability of procedure text was improves.
2. Control Class Scores Analysis.
