ANALISIS
DESKRIPTIF DENGAN SPSS
|
sex
|
1
|
1
|
2
|
1
|
2
|
2
|
1
|
1
|
2
|
2
|
2
|
1
|
1
|
1
|
2
|
2
|
1
|
2
|
1
|
2
|
|
Pres_bel
|
85
|
50
|
90
|
90
|
75
|
95
|
85
|
80
|
65
|
100
|
75
|
65
|
80
|
80
|
80
|
95
|
80
|
95
|
75
|
85
|
1.
Ukuran
Tendensi Sentral
FREQUENCIES VARIABLES=Pres_bel Sex
/STATISTICS=MEAN MEDIAN MODE
/ORDER=ANALYSIS.
Frequencies
|
Statistics
|
|||
|
|
|
Pres_bel
|
Sex
|
|
N
|
Valid
|
20
|
20
|
|
Missing
|
0
|
0
|
|
|
Mean
|
81.2500
|
1.5000
|
|
|
Median
|
80.0000
|
1.5000
|
|
|
Mode
|
80.00
|
1.00a
|
|
|
a.
Multiple modes exist. The smallest value is shown
|
|||
Frequency Table
|
Pres_bel
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
50
|
1
|
5.0
|
5.0
|
5.0
|
|
65
|
2
|
10.0
|
10.0
|
15.0
|
|
|
75
|
3
|
15.0
|
15.0
|
30.0
|
|
|
80
|
5
|
25.0
|
25.0
|
55.0
|
|
|
85
|
3
|
15.0
|
15.0
|
70.0
|
|
|
90
|
2
|
10.0
|
10.0
|
80.0
|
|
|
95
|
3
|
15.0
|
15.0
|
95.0
|
|
|
100
|
1
|
5.0
|
5.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
|
Sex
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
Female
|
10
|
50.0
|
50.0
|
50.0
|
|
Male
|
10
|
50.0
|
50.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
FREQUENCIES VARIABLES=Pres_bel Sex
/STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SKEWNESS SESKEW KURTOSIS SEKURT
/ORDER=ANALYSIS.
Frequencies
|
Statistics
|
|||
|
|
|
Pres_bel
|
Sex
|
|
N
|
Valid
|
20
|
20
|
|
Missing
|
0
|
0
|
|
|
Std.
Deviation
|
1.20170E1
|
.51299
|
|
|
Variance
|
144.408
|
.263
|
|
|
Skewness
|
-.807
|
.000
|
|
|
Std.
Error of Skewness
|
.512
|
.512
|
|
|
Kurtosis
|
1.106
|
-2.235
|
|
|
Std.
Error of Kurtosis
|
.992
|
.992
|
|
|
Range
|
50.00
|
1.00
|
|
|
Minimum
|
50.00
|
1.00
|
|
|
Maximum
|
100.00
|
2.00
|
|
Frequency Table
|
Pres_bel
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
50
|
1
|
5.0
|
5.0
|
5.0
|
|
65
|
2
|
10.0
|
10.0
|
15.0
|
|
|
75
|
3
|
15.0
|
15.0
|
30.0
|
|
|
80
|
5
|
25.0
|
25.0
|
55.0
|
|
|
85
|
3
|
15.0
|
15.0
|
70.0
|
|
|
90
|
2
|
10.0
|
10.0
|
80.0
|
|
|
95
|
3
|
15.0
|
15.0
|
95.0
|
|
|
100
|
1
|
5.0
|
5.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
|
Sex
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
Female
|
10
|
50.0
|
50.0
|
50.0
|
|
Male
|
10
|
50.0
|
50.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
FREQUENCIES VARIABLES=Pres_bel Sex
/NTILES=4
/PERCENTILES=25.0 50.0 75.0
/ORDER=ANALYSIS.
Frequencies
|
Statistics
|
|||
|
|
|
Pres_bel
|
Sex
|
|
N
|
Valid
|
20
|
20
|
|
Missing
|
0
|
0
|
|
|
Percentiles
|
25
|
75.0000
|
1.0000
|
|
50
|
80.0000
|
1.5000
|
|
|
75
|
90.0000
|
2.0000
|
|
Frequency Table
|
Pres_bel
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
50
|
1
|
5.0
|
5.0
|
5.0
|
|
65
|
2
|
10.0
|
10.0
|
15.0
|
|
|
75
|
3
|
15.0
|
15.0
|
30.0
|
|
|
80
|
5
|
25.0
|
25.0
|
55.0
|
|
|
85
|
3
|
15.0
|
15.0
|
70.0
|
|
|
90
|
2
|
10.0
|
10.0
|
80.0
|
|
|
95
|
3
|
15.0
|
15.0
|
95.0
|
|
|
100
|
1
|
5.0
|
5.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
|
Sex
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
Female
|
10
|
50.0
|
50.0
|
50.0
|
|
Male
|
10
|
50.0
|
50.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
2. Ukuran Normalitas Data
FREQUENCIES VARIABLES=Pres_bel Sex
/STATISTICS=MEAN SKEWNESS SESKEW KURTOSIS SEKURT
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
Frequencies
|
Statistics
|
|||
|
|
|
Pres_bel
|
Sex
|
|
N
|
Valid
|
20
|
20
|
|
Missing
|
0
|
0
|
|
|
Mean
|
81.2500
|
1.5000
|
|
|
Skewness
|
-.807
|
.000
|
|
|
Std.
Error of Skewness
|
.512
|
.512
|
|
|
Kurtosis
|
1.106
|
-2.235
|
|
|
Std.
Error of Kurtosis
|
.992
|
.992
|
|
Frequency Table
|
Pres_bel
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
50
|
1
|
5.0
|
5.0
|
5.0
|
|
65
|
2
|
10.0
|
10.0
|
15.0
|
|
|
75
|
3
|
15.0
|
15.0
|
30.0
|
|
|
80
|
5
|
25.0
|
25.0
|
55.0
|
|
|
85
|
3
|
15.0
|
15.0
|
70.0
|
|
|
90
|
2
|
10.0
|
10.0
|
80.0
|
|
|
95
|
3
|
15.0
|
15.0
|
95.0
|
|
|
100
|
1
|
5.0
|
5.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
|
Sex
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
Female
|
10
|
50.0
|
50.0
|
50.0
|
|
Male
|
10
|
50.0
|
50.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
Histogram
EXAMINE VARIABLES=Pres_bel Sex
/PLOT BOXPLOT NPPLOT
/COMPARE GROUP
/STATISTICS NONE
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Explore
|
Case Processing Summary
|
||||||
|
|
Cases
|
|||||
|
|
Valid
|
Missing
|
Total
|
|||
|
|
N
|
Percent
|
N
|
Percent
|
N
|
Percent
|
|
Pres_bel
|
20
|
100.0%
|
0
|
.0%
|
20
|
100.0%
|
|
Sex
|
20
|
100.0%
|
0
|
.0%
|
20
|
100.0%
|
|
Tests of Normality
|
||||||
|
|
Kolmogorov-Smirnova
|
Shapiro-Wilk
|
||||
|
|
Statistic
|
df
|
Sig.
|
Statistic
|
df
|
Sig.
|
|
Pres_bel
|
.159
|
20
|
.200*
|
.939
|
20
|
.232
|
|
Sex
|
.335
|
20
|
.000
|
.641
|
20
|
.000
|
|
a.
Lilliefors Significance Correction
|
|
|
|
|||
|
*. This
is a lower bound of the true significance.
|
|
|
||||
Pres_bel
 |
Sex
3.
Homogeneditas
Data
FREQUENCIES VARIABLES=Pres_bel Sex
/NTILES=4
/STATISTICS=MEAN KURTOSIS SEKURT
/HISTOGRAM NORMAL
/ORDER=ANALYSIS.
Frequencies
|
Statistics
|
|||
|
|
|
Pres_bel
|
Sex
|
|
N
|
Valid
|
20
|
20
|
|
Missing
|
0
|
0
|
|
|
Mean
|
81.2500
|
1.5000
|
|
|
Kurtosis
|
1.106
|
-2.235
|
|
|
Std.
Error of Kurtosis
|
.992
|
.992
|
|
|
Percentiles
|
25
|
75.0000
|
1.0000
|
|
50
|
80.0000
|
1.5000
|
|
|
75
|
90.0000
|
2.0000
|
|
Frequency Table
|
Pres_bel
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
50
|
1
|
5.0
|
5.0
|
5.0
|
|
65
|
2
|
10.0
|
10.0
|
15.0
|
|
|
75
|
3
|
15.0
|
15.0
|
30.0
|
|
|
80
|
5
|
25.0
|
25.0
|
55.0
|
|
|
85
|
3
|
15.0
|
15.0
|
70.0
|
|
|
90
|
2
|
10.0
|
10.0
|
80.0
|
|
|
95
|
3
|
15.0
|
15.0
|
95.0
|
|
|
100
|
1
|
5.0
|
5.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
|
Sex
|
|||||
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Valid
|
Female
|
10
|
50.0
|
50.0
|
50.0
|
|
Male
|
10
|
50.0
|
50.0
|
100.0
|
|
|
Total
|
20
|
100.0
|
100.0
|
|
|
IGRAPH
/VIEWNAME='Boxplot'
/X1=VAR(pres_bel) TYPE=SCALE
/Y=VAR(sex) TYPE=SCALE
/COORDINATE=HORIZONTAL
/YLENGTH=5.2
/X1LENGTH=6.5
/CHARTLOOK='NONE'
/BOX OUTLIERS=ON EXTREME=ON MEDIAN=ON WHISKER=T.
Interactive Graph
4.
Analisis
Data prestasi belajar 20 siswa SMA diulangan
Berdasarkan
output frequencies tendensi sentral, Nampak hasil mean, median dan modus hampir sama nilainya. Rataan nilai
ulangan siswa mencapai 81,25. Hal ini menunjukkan hasil prestasi belajar yang
cukup bagus karena sudah mencapai diatas 70. Dilihat dari nilai modusnya 80(ada
tanda ͣdi atas artinya memiliki modus
yang tidak tunggal. Dari output frequensi tersebut kita bisa melihat nilai
minimum yaitu 50 sedangkan nilai maksimumnya 100. Dilihat dari nilai Q1=P25,
Q2=P50, Q3=P75, Dan seterusnya maka semakin tinggi nilai quartile /persentil
prestasi belajarnya semakin tinggi.
Berdasarkan
hasil output ukuran normalitas data dapat kita deskripsikan bahwa nilai standar
eror mean (SEmean=81.2500, merupakan nilai yang dekat dengan nol, ini
menunjukan bahwa rataan merupakan penaksir yang dekat terhadap rataan populasi
. Melihat nilai skewness=-807 dan 000 dari prestasi belajar dan sex, dan gambar
diagram histogram serta kurva normalnya menunjukan semua mengarah pada
penunjukan bahwa prestasi belajar dan sex cenderung distribusi normal.
Selanjutnya bila diperhatikan diagram Q-Q plot juga menunjukan data distribusi
normal. Secara keseluruhan bahwa data berdistribusi cenderung mendekati normal.
Berdasarkan
output dari homogeneditas data dapat dideskripsikan sebagai berikut. Nilai
kurtosis dari prestasi belajar dan sex=1106 dan -2.235 menunjukan nilai negatif
dan positif, data cenderung tumpul akan tetapi nilai tersebut tidak jauh dari
nol jadi bisa dikatakan data cenderung homogen.
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