C 7
17.5 C
14 34.15
D D
6 14.63
E E
From the tables above, it was seen that the post-test percentage of grade A in the experimental group was 50. I used the same formula in percentage computation
for grade A like what I had done in the previous pre-test computation in the experimental group. The other items would use the same formula.
Furthermore, I concluded that the students‟ achievements increased in the post- test. The facts proved that there was no students who got E 0-59 in the post-test.
4.3.1 The Score Differences between Two Groups of Post-Test
I used independent sample t-test to know the score differences between the experimental and the control groups in the post-test. Before t-test was done to know
the significant difference between the control and the experimental groups, I measured test of normality and homogeneity of post-test like what I had done before.
4.3.1.1 Post-Test Normality
Table 4.13 Process of Normality Analysis
One-Sample Kolmogorov-Smirnov Test
Post-Test control Post-Test
experimental N
41 40
Normal Parameters
a
Mean 79.73
87.28 Std. Deviation
9.995 8.545
Most Extreme Differences Absolute
.116 .125
Positive .116
.092 Negative
-.103 -.125
Kolmogorov-Smirnov Z .740
.791 Asymp. Sig. 2-tailed
.644 .559
a. Test distribution is Normal. b. Calculated from data.
Output on normality test by using Kolmogorov test above for post-test in the control group showed that Z value was 0.740 and sig value was 0.644. Because sig
0.664 was higher than 0.05, it was concluded that the post-test data in the control group was distributed normally. Furthermore, the experimental group showed that Z
value was 0.791 and sig value was 0.559. The post-test data in the experimental group were also distributed normally, for it showed that 0.559 was higher than 0.05.
4.3.1.2 Post-Test Homogeneity
Table 4.14 Process of Homogeneity Analysis
Test of Homogeneity of Variance
Pre-Test Levene
Statistic df1
df2 Sig.
1.246 1
79 .268
Based on the homogeneity test of post-test data in the control and experimental groups by using Levene Statistic, it showed that F value was 1.246 and sig value was
0.268. Because 0.268 was higher than 0.05, it indicated that the data were homogeneous.
4.3.1.3 The Results of Post-Test
Based on the table of students‟ achievement in the post-test, it could be seen that the experimental group gained better achievement in the post-test than the control group
did. The results of the post-test were better than the results of the pre-test in the control group. It indicated that the control group improved well. However, the
score‟s improvement of the control group was lower than that of the experimental group. The calculation of the post-test result by using T-test
Table 4.15 T-test
Group Statistics Group
N Mean
Std. Deviation
Std. Error Mean
Post-Test Control Post-Test
Experimental 41
40 79.73
87.28 9.995
8.545 1.561
1.351
Independent Sample Test
t-test for Equality of Means t
df Sig.
Mean Std. Error
95 Confidence
2-tailed Difference
Difference Interval of the
Difference Lower
Upper Post-Test Equal variances
Pre-Test assumed
Pre-Test Equal variances
Pre-Test not assumed
- .3.647
- .3.654
79 77.67
3 .000
.000 -7.543
-7.543 2.069
2.065 -
11.661 -
11.654 -3.426
-3.433
Based on t-test calculation above, it showed that t value was 3.647 and sig. 2-tailed was 0.000
.
0.000 was lower than 0.05, so it indicated that there was significant difference of both groups where the average score of the post-test was different
between the experimental and the control groups. The statistic table above proved that the experimental group had higher score than the control group did in which the
experimental group gained 87.28 and the control group gained 79.73.
4.4 The Effectiveness of Tea Party Technique
