Table 4.4
The Students Score of Post-test in Experiment Class and Controlled Class
Number Students’
Experiment Class
Controlled Class
1 S1
65 55
2 S2
65 60
3 S3
65 55
4 S4
60 60
5 S5
60 55
6 S6
70 65
7 S7
70 60
8 S8
75 65
9 S9
70 70
10 S10
75 70
11 S11
75 65
12 S12
75 70
13 S13
80 75
14 S14
80 65
15 S15
85 70
16 S16
85 75
17 S17
80 80
18 S18
85 75
19 S19
85 80
20 S20
80 75
Amount 20
1485 1345
Mean 74.25
67.25
The table showed the post-test score of experiment class and controlled class. The pre-test was given on the first meeting before giving the treatment class and based
on the table 4.4, it can be seen that the average score of post-test in experiment class was 74.25, the highest score of experiment class was 85 and the lowest score
was 60. Meanwhile, the average score of post-test of controlled class was 67.25
with the highest score 80 and the lowest score was 55. Seeing the calculation on the table above, it can be concluded that the average score of post-test in
experiment class was higher than the average score of post-test in controlled class.
B. Data Analysis
Based on the data obtained, the writer analyzed the test score of the experimental class and controlled class by calculating the result into the formula t-
test. Before using the formula of t-test, the students score in the experimental and control class were tabulated to calculate the gained score of each class as follows:
Table 4.5 The Students’ Gained Score in Class VIII-6
The Experimental Class
Number Students’
Pre-test Post-test
Gained Score
X
2
X1 X2
1 S1
45 65
20 400
2 S2
50 65
15 225
3 S3
45 65
20 400
4 S4
45 60
15 225
5 S5
55 60
5 25
6 S6
50 70
20 400
7 S7
55 70
15 225
8 S8
60 75
15 225
9 S9
45 70
25 625
10 S10
55 75
20 400
11 S11
65 75
10 100
12 S12
55 75
20 400
13 S13
65 80
15 225
14 S14
65 80
15 225
15 S15
70 85
15 225
16 S16
70 85
15 225
17 S17
60 80
20 400
18 S18
70 85
15 225
19 S19
75 85
10 100
20 S20
60 80
20 400
Amount ΣN
1
= 20 ΣX
1
= 1160 ΣX
2
= 1485 ΣX= 325
ΣX
2
= 5675
Mean 58
74.25 16.25
283.75
ΣN
1
= The total students in the experimental class ΣX
1
= The total pre-test score of students in the experimental class ΣX
2
= The total post-test score of students in the experimental class ΣX = The total gained score of students in the experimental class
ΣX
2
= The square of the total gained score of students in the experimental class Based on the table
above, the writer got ΣX
1
= 1160 , ΣX
2
= 1485 , ΣX=325, and
ΣX
2
= 5675 . The result will be used to find out the t-test.
Table 4.6 The Students’ Gained Score in Class VIII-2
The Controlled Class
Number Students’ Pre-test
Post-test Gained
Score Y2
Y1 Y2
1 S1
45 55
10 100
2 S2
45 60
15 225
3 S3
45 55
10 100
4 S4
50 60
10 100
5 S5
50 55
5 25
6 S6
55 65
10 100
7 S7
55 60
5 25
8 S8
55 65
10 100
9 S9
60 70
10 100
10 S10
60 70
10 100
11 S11
60 65
5 25
12 S12
65 70
5 25
13 S13
65 75
10 100
14 S14
65 65
15 S15
65 70
5 25
16 S16
65 75
10 100
17 S17
70 80
10 100
18 S18
70 75
5 25
19 S19
70 80
10 100
20 S20
70 75
5 25
Amount ΣN2= 20 ΣY1= 1185 ΣY2= 1345 ΣY= 160
ΣY
2
= 1500
Mean 59,25
67,25 8
75
ΣN
2
= The total students in the controlled class ΣY
1
= The total pre-test score of students in the controlled class ΣY
2
= The total post-test score of students in the controlled class ΣY = The total gained score of students in the controlled class
ΣY
2
= The square of the total gained score of students in the controlled class Based on the table, the writer got ΣY
1
=1185 , ΣY
2
=1345 , ΣY=160 , and
ΣY
2
=1500. The result will be used to find out the t-test. Before calculating the value of t-test to look at the difference of significant
level, it is necessary to find out the value of normality and homogeneity of the data. The examination of normality is needed to know whether the data has been
normally distributed. Then, after getting the normality, the next step is calculating the homogeneity of data. It is proposed to look at whether the data is
homogeneous or not.
