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NAMA : AYU ANDIRA NIM: 4516101024
ASIA SETHER (4509101049) THE EFFECTIVENESS OF MEDIA PICTURE IN TEACHING VOCABULARY AT SMP NEGERI 35 MAKASSAR
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
59.50
30
23.721
4.331
POST_TEST
81.33
30
14.259
2.603
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 30
.677
Sig. .000
Paired Samples Test Paired Differences 95% Confidence Interval of the
Mean Pair 1
PRE_TEST POST_TEST
Std.
Std. Error
Deviation
Mean
-21.833
17.542
3.203
Difference Lower -28.384
Upper
t
-15.283
-6.817
df
Sig. (2-tailed)
29
.000
A. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 29, N1– 1, the number of students (each 30) minus 1. The following table illustrates the t-test value result:
Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
NAMA: WIDIYA JUDUL : STUDENTS’ SKILL IN REWRITING NARATIVE TEXT OF ANIMATION FILM AT SMP NEGERI 10 MAKASSAR SKRIPSI BY: KIKI RIZKI ZAINUDDIN A.
THE RESULT OF CALCULATING STUDENTS GRADES
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
46.12
24
9.570
1.954
POST_TEST
77.71
24
2.528
.516
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 24
Sig.
.386
.062
Paired Samples Test Paired Differences 95% Confidence Interval of the Difference Mean Pair 1
PRE_TEST - POST_TEST
Std. Deviation
-31.583
Std. Error Mean
8.905
Lower
1.818
Upper
-35.344
-27.823
B. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 34, N1– 1, the number of students (each 35) minus 1. The following table illustrates the t-test value result:
Table 4 The Paired t-test Value of Students’ Achievement Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
t
-17.37
Based on the result of data analysis as summarized in table 4 pretest and post-test, the researcher found that the p-value (probability value) was lower than α (0.00 < 0.05) and the degree of freedom was 34. The t-test value of pre-test and post-test was remarked significantly different. It indicated that the alternative hypothesis (H1) was accepted and, of course, the null hypothesis (H0) was rejected. It showed that the use of Word Wall Media significantly enrich students’ vocabulary. It is more effective, more productive and faster to enrich the students’ vocabulary.
TITIN ROCHAETI
NAMA : MERDEKA WATI (4510101040) JUDUL : STUDENTS VOCABULARY ACHIEVEMENT UNDER WORD WALL MEDIA AT SMP NEGERI 23 MAKASSAR
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
59.43
35
11.296
1.909
POST_TEST
80.14
35
11.343
1.917
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 35
Sig.
.839
.000
Paired Samples Test Paired Differences 95% Confidence Interval of Std. Error Mean Pair 1
Std. Deviation
Mean
the Difference Lower
Upper
PRE_TEST POST_TEST
Sig. (2t
df
tailed)
-2.071E1
6.433
1.087
-22.924
-18.504 1.905
34
.000
E1
a. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 29, N1– 1, the number of students (each 30) minus 1. The following table illustrates the t-test value result:
Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
ASIA SETHER (4509101049) THE EFFECTIVENESS OF MEDIA PICTURE IN TEACHING VOCABULARY AT SMP NEGERI 35 MAKASSAR
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
59.50
30
23.721
4.331
POST_TEST
81.33
30
14.259
2.603
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 30
.677
Sig. .000
Paired Samples Test Paired Differences 95% Confidence Interval of the
Mean Pair 1
PRE_TEST POST_TEST
Std.
Std. Error
Deviation
Mean
-21.833
17.542
3.203
Difference Lower -28.384
Upper
t
-15.283
-6.817
df
Sig. (2-tailed)
29
.000
A. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 29, N1– 1, the number of students (each 30) minus 1. The following table illustrates the t-test value result:
Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
NAMA: WIDIYA JUDUL : STUDENTS’ SKILL IN REWRITING NARATIVE TEXT OF ANIMATION FILM AT SMP NEGERI 10 MAKASSAR SKRIPSI BY: KIKI RIZKI ZAINUDDIN A.
THE RESULT OF CALCULATING STUDENTS GRADES
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
46.12
24
9.570
1.954
POST_TEST
77.71
24
2.528
.516
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 24
Sig.
.386
.062
Paired Samples Test Paired Differences 95% Confidence Interval of the Difference Mean Pair 1
PRE_TEST - POST_TEST
Std. Deviation
-31.583
Std. Error Mean
8.905
Lower
1.818
Upper
-35.344
-27.823
B. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 34, N1– 1, the number of students (each 35) minus 1. The following table illustrates the t-test value result:
Table 4 The Paired t-test Value of Students’ Achievement Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
t
-17.37
Based on the result of data analysis as summarized in table 4 pretest and post-test, the researcher found that the p-value (probability value) was lower than α (0.00 < 0.05) and the degree of freedom was 34. The t-test value of pre-test and post-test was remarked significantly different. It indicated that the alternative hypothesis (H1) was accepted and, of course, the null hypothesis (H0) was rejected. It showed that the use of Word Wall Media significantly enrich students’ vocabulary. It is more effective, more productive and faster to enrich the students’ vocabulary.
TITIN ROCHAETI
NAMA : MERDEKA WATI (4510101040) JUDUL : STUDENTS VOCABULARY ACHIEVEMENT UNDER WORD WALL MEDIA AT SMP NEGERI 23 MAKASSAR
Paired Samples Statistics Mean Pair 1
N
Std. Deviation
Std. Error Mean
PRE_TEST
59.43
35
11.296
1.909
POST_TEST
80.14
35
11.343
1.917
Paired Samples Correlations N Pair 1
PRE_TEST & POST_TEST
Correlation 35
Sig.
.839
.000
Paired Samples Test Paired Differences 95% Confidence Interval of Std. Error Mean Pair 1
Std. Deviation
Mean
the Difference Lower
Upper
PRE_TEST POST_TEST
Sig. (2t
df
tailed)
-2.071E1
6.433
1.087
-22.924
-18.504 1.905
34
.000
E1
a. Test of significance (t-test). T-test is a test to measure whether or not there is a significant difference between the results of the students’ mean scores in the pretest and the posttest. By using inferential analysis of t-test or test of significance run by SPSS Version 16, the significant differences can be easier to analyze. The level of significance is (α) = 0.05 and the degree of freedom (df) = 29, N1– 1, the number of students (each 30) minus 1. The following table illustrates the t-test value result:
Variables
Probability Value
α
Remarks
Pre-test and Post-test
0.00
0.05
Significantly different
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