The document provides statistical analysis of reading ability (membaca) scores from an experiment with 121 participants split into experimental and control groups. Descriptive statistics show the experimental group improved from a mean of 70.83 to 84.67 after treatment, while the control group improved less from 62.50 to 80.50. An independent samples t-test found a marginally significant difference (p=0.065) between the post-test scores of the two groups, with the experimental group scoring higher on average.

1. FREQUENCIES VARIABLES=membaca
/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM MEAN MEDIAN MODE SUM
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created 20-JUL-2023 12:44:14
Comments
Input Data E:NISA SAYANGmanova tahap
1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 121
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data.
Syntax FREQUENCIES
VARIABLES=membaca
/STATISTICS=STDDEV
VARIANCE RANGE MINIMUM
MAXIMUM MEAN MEDIAN
MODE SUM
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics

2. kemampuan membaca
N Valid 120
Missing 1
Mean 74.63
Median 75.00
Mode 80
Std. Deviation 13.144
Variance 172.757
Range 55
Minimum 40
Maximum 95
Sum 8955
kemampuan membaca
Frequency Percent Valid Percent
Cumulative
Percent
Valid 40 2 1.7 1.7 1.7
45 4 3.3 3.3 5.0
50 2 1.7 1.7 6.7
55 4 3.3 3.3 10.0
60 8 6.6 6.7 16.7
65 13 10.7 10.8 27.5
70 18 14.9 15.0 42.5
75 10 8.3 8.3 50.8
80 23 19.0 19.2 70.0
85 17 14.0 14.2 84.2
90 10 8.3 8.3 92.5
95 9 7.4 7.5 100.0
Total 120 99.2 100.0
Missing System 1 .8
Total 121 100.0
DESCRIPTIVES VARIABLES=membaca
/STATISTICS=MEAN STDDEV MIN MAX.

3. Descriptives
Notes
Output Created 20-JUL-2023 12:45:30
Comments
Input Data E:NISA SAYANGmanova tahap
1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 121
Missing Value Handling Definition of Missing User defined missing values are
treated as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES
VARIABLES=membaca
/STATISTICS=MEAN STDDEV
MIN MAX.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
kemampuan membaca 120 40 95 74.62 13.144
Valid N (listwise) 120
EXAMINE VARIABLES=membaca BY kelas
/PLOT BOXPLOT STEMLEAF NPPLOT
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

4. Explore
Notes
Output Created 20-JUL-2023 12:46:07
Comments
Input Data E:NISA SAYANGmanova tahap
1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 121
Missing Value Handling Definition of Missing User-defined missing values for
dependent variables are treated
as missing.
Cases Used Statistics are based on cases
with no missing values for any
dependent variable or factor
used.
Syntax EXAMINE
VARIABLES=membaca BY kelas
/PLOT BOXPLOT STEMLEAF
NPPLOT
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources Processor Time 00:00:05.16
Elapsed Time 00:00:02.23

5. kelas
Case Processing Summary
kelas
Cases
Valid Missing Total
N Percent N Percent N Percent
kemampuan membaca pre-test eksperimen 30 100.0% 0 0.0% 30 100.0%
post-test eksperimen 30 100.0% 0 0.0% 30 100.0%
pre-test kontrol 30 100.0% 0 0.0% 30 100.0%
post-test kontrol 30 100.0% 0 0.0% 30 100.0%
Descriptives
kelas Statistic Std. Error
kemampuan membaca pre-test eksperimen Mean 70.83 1.592
95% Confidence Interval for
Mean
Lower Bound 67.58
Upper Bound 74.09
5% Trimmed Mean 70.83
Median 70.00
Variance 76.006
Std. Deviation 8.718
Minimum 55
Maximum 85
Range 30
Interquartile Range 15
Skewness .103 .427
Kurtosis -1.114 .833
post-test eksperimen Mean 84.67 1.221
95% Confidence Interval for
Mean
Lower Bound 82.17
Upper Bound 87.16
5% Trimmed Mean 84.63
Median 85.00
Variance 44.713
Std. Deviation 6.687

6. Minimum 75
Maximum 95
Range 20
Interquartile Range 10
Skewness .129 .427
Kurtosis -1.045 .833
pre-test kontrol Mean 62.50 2.442
95% Confidence Interval for
Mean
Lower Bound 57.51
Upper Bound 67.49
5% Trimmed Mean 62.50
Median 65.00
Variance 178.879
Std. Deviation 13.375
Minimum 40
Maximum 85
Range 45
Interquartile Range 20
Skewness -.046 .427
Kurtosis -.893 .833
post-test kontrol Mean 80.50 1.847
95% Confidence Interval for
Mean
Lower Bound 76.72
Upper Bound 84.28
5% Trimmed Mean 80.83
Median 80.00
Variance 102.328
Std. Deviation 10.116
Minimum 55
Maximum 95
Range 40
Interquartile Range 20
Skewness -.333 .427
Kurtosis -.335 .833
Tests of Normality
kelas
Kolmogorov-Smirnova
Shapiro-Wilk
Statistic df Sig. Statistic df Sig.

7. kemampuan membaca pre-test eksperimen .153 30 .069 .932 30 .057
post-test eksperimen .157 30 .056 .907 30 .012
pre-test kontrol .141 30 .133 .944 30 .115
post-test kontrol .150 30 .082 .924 30 .033
a. Lilliefors Significance Correction
kemampuan membaca
Stem-and-Leaf Plots
kemampuan membaca Stem-and-Leaf Plot for
kelas= pre-test eksperimen
Frequency Stem & Leaf
.00 5 .
1.00 5 . 5
5.00 6 . 00000
6.00 6 . 555555
6.00 7 . 000000
3.00 7 . 555
6.00 8 . 000000
3.00 8 . 555
Stem width: 10
Each leaf: 1 case(s)
kemampuan membaca Stem-and-Leaf Plot for
kelas= post-test eksperimen
Frequency Stem & Leaf
.00 7 .
5.00 7 . 55555
7.00 8 . 0000000
8.00 8 . 55555555
5.00 9 . 00000

8. 5.00 9 . 55555
Stem width: 10
Each leaf: 1 case(s)
kemampuan membaca Stem-and-Leaf Plot for
kelas= pre-test kontrol
Frequency Stem & Leaf
2.00 4 . 00
4.00 4 . 5555
2.00 5 . 00
2.00 5 . 55
3.00 6 . 000
7.00 6 . 5555555
4.00 7 . 0000
.00 7 .
4.00 8 . 0000
2.00 8 . 55
Stem width: 10
Each leaf: 1 case(s)
kemampuan membaca Stem-and-Leaf Plot for
kelas= post-test kontrol
Frequency Stem & Leaf
.00 5 .
1.00 5 . 5
.00 6 .
.00 6 .
8.00 7 . 00000000
2.00 7 . 55
6.00 8 . 000000
4.00 8 . 5555
5.00 9 . 00000
4.00 9 . 5555
Stem width: 10
Each leaf: 1 case(s)

9. Normal Q-Q Plots

11. Detrended Normal Q-Q Plots

14. T-TEST GROUPS=kelas(2 4)
/MISSING=ANALYSIS
/VARIABLES=membaca
/CRITERIA=CI(.95).
T-Test
Notes
Output Created 20-JUL-2023 12:47:16
Comments
Input Data E:NISA SAYANGmanova tahap
1.sav
Active Dataset DataSet1
Filter <none>
Weight <none>

15. Split File <none>
N of Rows in Working Data File 121
Missing Value Handling Definition of Missing User defined missing values are
treated as missing.
Cases Used Statistics for each analysis are
based on the cases with no
missing or out-of-range data for
any variable in the analysis.
Syntax T-TEST GROUPS=kelas(2 4)
/MISSING=ANALYSIS
/VARIABLES=membaca
/CRITERIA=CI(.95).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.11
Group Statistics
kelas N Mean Std. Deviation Std. Error Mean
kemampuan membaca post-test eksperimen 30 84.67 6.687 1.221
post-test kontrol 30 80.50 10.116 1.847
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference
Std. Error
Difference
95% Confidence Interval of the
Difference
Lower Upper
kemampuan membaca Equal variances assumed 5.152 .027 1.882 58 .065 4.167 2.214 -.265 8.598
Equal variances not assumed 1.882 50.280 .066 4.167 2.214 -.279 8.613