Post on 21-Dec-2015
description
SINTAKSIS DALAM IBM SPSS STATISTICS
BAGIAN KE 2 DESCRIPTIVE STATISTICS
Oleh :
Abdullah M. Jaubah
Pendahuluan
Descriptive Statistics dalam IBM SPSS Statistics mempunyai pengertian khusus dan
mencakup Frequencies, Descriptives, Explore, Crosstabs, Ratio, P-P Plots, dan Q-Q Plots.
Bagian ke 2 ini akan menyajikan sintaksis dan hasil pelaksanaan sintaksis mengenai
Descriptive Statistics dan hasil-hasil yang diperoleh tidak diinterpretasikan. Tujuan utama
dari tulisan-tulisan ini adalah untuk memperkenalkan cara pemrograman berdasar atas
perintah-perintah sintaksis.
Cara pemrograman ini berbeda dengan cara pemrograman dalam Bagian Ke1 karena cara ini
mengandung cara pemrograman mandiiri dan cara pemrograman gabungan dan kedua cara
ini disimpan dalam satu arsip sintaksis.
Statistik Deskriptif
****************************************************************** Abdullah Muhammad Jaubah* Descriptive Statistics*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
****************************************************************** Frequencies*****************************************************************
FREQUENCIES VARIABLES=X1 /NTILES=4 /NTILES=10 /PERCENTILES=5.0 100.0 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /GROUPED=X1 /HISTOGRAM NORMAL /ORDER=ANALYSIS.
****************************************************************** Frequencies*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.FREQUENCIES VARIABLES=X1 X2 X3 X4 Y X7 X10
1
/NTILES=4 /NTILES=10 /PERCENTILES=5.0 100.0 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /GROUPED=X1 X2 X3 X4 Y X7 X10 /HISTOGRAM NORMAL /ORDER=ANALYSIS.
****************************************************************** Descriptives*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV MIN MAX.
****************************************************************** Descriptives*****************************************************************
GETFILE='D:\ACC\BARU1.sav'.
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X2 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X3 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X3 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X4 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X4 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=Y /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=Y /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X7 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X7 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X10 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X10
2
/STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
****************************************************************** Explore*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
EXAMINE VARIABLES=X1 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
****************************************************************** Explore*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
EXAMINE VARIABLES=X1 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
EXAMINE VARIABLES=X1 X2 X3 X4 Y X7 X10 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
****************************************************************** Crosstabs*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
CROSSTABS /TABLES=Y BY X1 X2 X3 X4 X7 X10 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR /CELLS=COUNT EXPECTED /COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5.
CROSSTABS /TABLES=Y BY X1 BY X6 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR
3
/CELLS=COUNT EXPECTED /COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5 /BARCHART.
****************************************************************** Crosstabs*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
CROSSTABS /TABLES=X6 BY X5 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL /BARCHART.
****************************************************************** Ratio*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.DATASET NAME DataSet1 WINDOW=FRONT.RATIO STATISTICS X7 WITH Y BY X5 (ASCENDING) /MISSING=EXCLUDE/PRINT=MEAN PRD STDDEV WGTMEAN.
****************************************************************** Ratio*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=COD MDCOV PRD.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=MAX MDCOV MEAN MEDIAN MIN MNCOV RANGE STDDEV.
****************************************************************** P-P Plots*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
4
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
****************************************************************** Q-Q Plots*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
5
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
Sintaksis di atas merupakan sintaksis mandiri dan dapat diubah menjadi sintaksis gabungan
sebagaimana disajikan di bawah ini. Hasil dari kedua macam sintaksis ini adalah sama akan
tetapi sintaksis gabungan adalah lebih cepat dilaksanakan daripada sintaksis mandiri.
****************************************************************** Abdullah M. Jaubah* Descrptive Statistics Gabungan*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
****************************************************************** Frequencies******************************************************************
FREQUENCIES VARIABLES=X1 X2 X3 X4 Y X7 X10 /NTILES=4 /NTILES=10 /PERCENTILES=5.0 100.0 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /GROUPED=X1 X2 X3 X4 Y X7 X10 /HISTOGRAM NORMAL /ORDER=ANALYSIS.
****************************************************************** Descriptives*****************************************************************
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X1 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X2 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X2 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X3 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X3 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X4 /STATISTICS=MEAN SUM STDDEV MIN MAX.
6
DESCRIPTIVES VARIABLES=X4 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=Y /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=Y /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X7 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X7 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
DESCRIPTIVES VARIABLES=X10 /STATISTICS=MEAN SUM STDDEV MIN MAX.
DESCRIPTIVES VARIABLES=X10 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
****************************************************************** Explore*****************************************************************
EXAMINE VARIABLES=X1 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
EXAMINE VARIABLES=X1 X2 X3 X4 Y X7 X10 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
****************************************************************** Crosstabs*****************************************************************
CROSSTABS /TABLES=Y BY X1 X2 X3 X4 X7 X10 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR /CELLS=COUNT EXPECTED /COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5.
CROSSTABS /TABLES=Y BY X1 BY X6 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR /CELLS=COUNT EXPECTED
7
/COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5 /BARCHART.
CROSSTABS /TABLES=X6 BY X5 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL /BARCHART.
****************************************************************** Ratio*****************************************************************
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=COD MDCOV PRD.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=AAD CIN(95) COD PRD WGTMEAN.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=MAX MDCOV MEAN MEDIAN MIN MNCOV RANGE STDDEV.
****************************************************************** P-P Plots*****************************************************************
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG
8
/NOSTANDARDIZE /TYPE=P-P /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
****************************************************************** Q-Q Plots*****************************************************************
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
Kedua cara pemrograman ini dapat diperbandingkan. Cara pemrograman gabungan
adalah lebih efisien dan lebih efektif daripada cara pemrograman bukan
gabungan.
Pelaksanaan sintaksis di atas akan menghasilkan informasi sebagai berikut :
****************************************************************** Abdullah Muhammad Jaubah* Descriptive Statistics*****************************************************************GET FILE='D:\ACC\BARU1.sav'.*****************************************************************
9
* Frequencies*****************************************************************
FREQUENCIES VARIABLES=X1 /NTILES=4 /NTILES=10 /PERCENTILES=5.0 100.0 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /GROUPED=X1 /HISTOGRAM NORMAL /ORDER=ANALYSIS.
Statistics
Biaya Iklan
N Valid 41
Missing 0
Mean 36,29
Std. Error of Mean ,717
Median 36,18a
Mode 36
Std. Deviation 4,589
Variance 21,062
Skewness ,048
Std. Error of Skewness ,369
Kurtosis -,809
Std. Error of Kurtosis ,724
Range 18
Minimum 27
Maximum 45
Sum 1488
Percentiles 5 28,33b
10 30,04
20 31,80
10
25 32,68
30 33,43
40 34,80
50 36,18
60 37,62
70 39,09
75 39,96
80 40,84
90 42,93
100 .
a. Calculated from grouped data.
b. Percentiles are calculated from grouped
data.
Biaya Iklan
Frequency Percent Valid Percent
Cumulative
Percent
Valid 27 1 2,4 2,4 2,4
30 6 14,6 14,6 17,1
33 8 19,5 19,5 36,6
36 10 24,4 24,4 61,0
39 7 17,1 17,1 78,0
42 7 17,1 17,1 95,1
45 2 4,9 4,9 100,0
Total 41 100,0 100,0
11
****************************************************************** Frequencies*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.FREQUENCIES VARIABLES=X1 X2 X3 X4 Y X7 X10 /NTILES=4 /NTILES=10 /PERCENTILES=5.0 100.0 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /GROUPED=X1 X2 X3 X4 Y X7 X10 /HISTOGRAM NORMAL /ORDER=ANALYSIS.
Statistics
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan
Gaji Karyawan
Usia
NValid 41 41 41 41 41 41 41
Missing 0 0 0 0 0 0 0
Mean 36,29 30 57,37 59,88 459,95 3,39 29,61
Std. Error of Mean 0,717 0,704 0,914 1,487 7,187 0,195 0,73
Median 36,18a 30,00a 57,20a 60,00a 465,00a 2,92a 31,50a
Mode 36 30 54c 60 435 3 33
12
Std. Deviation 4,589 4,507 5,856 9,519 46,021 1,248 4,674
Variance 21,062 20,313 34,288 90,61 2117,898 1,556 21,844
Skewness 0,048 0 0,054 -0,032 -0,088 1,542 -0,242
Std. Error of Skewness
0,369 0,369 0,369 0,369 0,369 0,369 0,369
Kurtosis -0,809 -0,373 -0,453 -0,506 -0,766 1,632 -0,963
Std. Error of Kurtosis 0,724 0,724 0,724 0,724 0,724 0,724 0,724
Range 18 20 24 40 180 5 19
Minimum 27 20 45 40 360 2 21
Maximum 45 40 69 80 540 7 40
Sum 1488 1230 2352 2455 18858 139 1214
Percentiles
5 28,33b 22,53b 47,33b 43,10b 387,90b 2,10b 22,02b
10 30,04 23,81 49,37 46,38 399,4 2,24 22,84
20 31,8 25,85 52,1 51,09 418,2 2,51 24,6
25 32,68 26,63 53,13 52,95 430,5 2,58 25,5
30 33,43 27,42 54,11 54,82 434,6 2,64 26,27
40 34,8 28,72 55,65 57,44 440,85 2,78 27,95
50 36,18 30 57,2 60 465 2,92 31,5
60 37,62 31,28 58,84 62,56 471,9 3,27 32,52
70 39,09 32,58 60,6 65,17 486,9 3,95 33,14
75 39,96 33,37 61,63 66,88 496,13 4,29 33,38
80 40,84 34,15 62,65 68,58 505,8 4,63 33,62
90 42,93 36,19 65,55 73 521,76 5,76 35,2
100 . . . . . . .
a. Calculated from grouped data.
b. Percentiles are calculated from grouped data.
c. Multiple modes exist. The smallest value is shown
Biaya Iklan
Frequency Percent Valid Percent Cumulative Percent
Valid 27 1 2,4 2,4 2,4
30 6 14,6 14,6 17,1
33 8 19,5 19,5 36,6
36 10 24,4 24,4 61,0
39 7 17,1 17,1 78,0
42 7 17,1 17,1 95,1
13
45 2 4,9 4,9 100,0
Total 41 100,0 100,0
Biaya Publisitas
Frequency Percent Valid Percent Cumulative Percent
Valid 20 1 2,4 2,4 2,4
23 2 4,9 4,9 7,3
25 6 14,6 14,6 22,0
28 7 17,1 17,1 39,0
30 9 22,0 22,0 61,0
33 7 17,1 17,1 78,0
35 6 14,6 14,6 92,7
38 2 4,9 4,9 97,6
40 1 2,4 2,4 100,0
Total 41 100,0 100,0
Biaya Wiraniaga
Frequency Percent Valid Percent Cumulative Percent
Valid 45 1 2,4 2,4 2,4
48 3 7,3 7,3 9,8
51 4 9,8 9,8 19,5
54 8 19,5 19,5 39,0
57 8 19,5 19,5 58,5
60 7 17,1 17,1 75,6
63 5 12,2 12,2 87,8
66 3 7,3 7,3 95,1
69 2 4,9 4,9 100,0
Total 41 100,0 100,0
Promosi Penjualan
Frequency Percent Valid Percent Cumulative Percent
Valid 40 1 2,4 2,4 2,4
45 4 9,8 9,8 12,2
50 4 9,8 9,8 22,0
55 7 17,1 17,1 39,0
60 9 22,0 22,0 61,0
65 7 17,1 17,1 78,0
14
70 5 12,2 12,2 90,2
75 3 7,3 7,3 97,6
80 1 2,4 2,4 100,0
Total 41 100,0 100,0
Hasil Penjualan
Frequency Percent Valid Percent Cumulative Percent
Valid 360 1 2,4 2,4 2,4
378 1 2,4 2,4 4,9
396 1 2,4 2,4 7,3
399 2 4,9 4,9 12,2
405 1 2,4 2,4 14,6
408 1 2,4 2,4 17,1
414 1 2,4 2,4 19,5
420 1 2,4 2,4 22,0
429 1 2,4 2,4 24,4
435 5 12,2 12,2 36,6
441 3 7,3 7,3 43,9
450 2 4,9 4,9 48,8
465 1 2,4 2,4 51,2
468 3 7,3 7,3 58,5
471 1 2,4 2,4 61,0
480 1 2,4 2,4 63,4
483 1 2,4 2,4 65,9
486 3 7,3 7,3 73,2
495 1 2,4 2,4 75,6
504 3 7,3 7,3 82,9
516 1 2,4 2,4 85,4
522 4 9,8 9,8 95,1
540 2 4,9 4,9 100,0
Total 41 100,0 100,0
Gaji Karyawan
Frequency Percent Valid Percent Cumulative Percent
Valid 2 1 2,4 2,4 2,4
3 14 34,1 34,1 36,6
3 16 39,0 39,0 75,6
5 8 19,5 19,5 95,1
15
7 2 4,9 4,9 100,0
Total 41 100,0 100,0
Usia
Frequency Percent Valid Percent Cumulative Percent
Valid 21 1 2,4 2,4 2,4
22 2 4,9 4,9 7,3
23 3 7,3 7,3 14,6
24 2 4,9 4,9 19,5
25 2 4,9 4,9 24,4
26 3 7,3 7,3 31,7
27 3 7,3 7,3 39,0
28 1 2,4 2,4 41,5
29 1 2,4 2,4 43,9
30 1 2,4 2,4 46,3
31 1 2,4 2,4 48,8
32 3 7,3 7,3 56,1
33 9 22,0 22,0 78,0
34 8 19,5 19,5 97,6
40 1 2,4 2,4 100,0
Total 41 100,0 100,0
16
17
18
19
****************************************************************** Descriptives*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Biaya Iklan 41 27 45 1488 36,29 4,589
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Minimum Maximum Sum MeanStd.
DeviationVariance Skewness Kurtosis
Statistic Statistic Statistic Statistic Statistic StatisticStd. Error
Statistic Statistic StatisticStd. Error
StatisticStd. Error
Biaya Iklan
41 18 27 45 1488 36,29 0,717 4,589 21,062 0,048 0,369 -0,8090,72
4
Valid N (listwise)
41
****************************************************************** Descriptive*****************************************************************
GETFILE='D:\ACC\BARU1.sav'.
DESCRIPTIVES VARIABLES=X1 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Biaya Iklan 41 27 45 1488 36,29 4,589
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X1 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
20
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
Statistic Std. Error
Biaya Iklan 41 18 0,717 21,062 0,048 0,369 -0,809 0,724
Valid N (listwise)
41
DESCRIPTIVES VARIABLES=X2 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Biaya Publisitas 41 20 40 1230 30,00 4,507
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X2 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
Statistic Std. Error
Biaya Publisitas 41 20 0,704 20,312 0 0,369 -0,373 0,724
Valid N (listwise)
41
DESCRIPTIVES VARIABLES=X3 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Biaya Wiraniaga 41 45 69 2352 57,37 5,856
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X3 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
Statistic Std. Error
Biaya Wiraniaga 41 24 0,914 34,288 0,054 0,369 -0,453 0,724
Valid N (listwise)
41
DESCRIPTIVES VARIABLES=X4
21
/STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Promosi Penjualan 41 40 80 2455 59,88 9,519
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X4 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
StatisticStd. Error
Promosi Penjualan 41 40 1,487 90,61 -0,032 0,369 -0,506 0,724
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=Y /STATISTICS=MEAN SUM STDDEV MIN MAX
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Hasil Penjualan 41 360 540 18858 459,95 46,021
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=Y /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
StatisticStd. Error
Hasil Penjualan 41 180 7,1872117,89
8-0,088 0,369 -0,766 0,724
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X7 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Gaji Karyawan 41 2 7 139 3,39 1,248
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X7 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
22
N Range Mean Variance Skewness Kurtosis
Statistic StatisticStd. Error
Statistic StatisticStd. Error
Statistic Std. Error
Gaji Karyawan 41 5 0,195 1,556 1,542 0,369 1,632 0,724
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X10 /STATISTICS=MEAN SUM STDDEV MIN MAX.
Descriptive Statistics
N Minimum Maximum Sum Mean Std. Deviation
Usia 41 21 40 1214 29,61 4,674
Valid N (listwise) 41
DESCRIPTIVES VARIABLES=X10 /STATISTICS=VARIANCE RANGE SEMEAN KURTOSIS SKEWNESS.
Descriptive Statistics
N Range Mean Variance Skewness Kurtosis
Statistic
StatisticStd. Error
StatisticStatisti
cStd. Error
Statistic Std. Error
Usia 41 19 0,73 21,844 -0,242 0,369 -0,963 0,724Valid N (listwise)
41
****************************************************************** Explore*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
EXAMINE VARIABLES=X1 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Biaya Iklan 41 100,0% 0 0,0% 41 100,0%
23
Descriptives
Statistic Std. Error
Biaya Iklan Mean 36,29 ,717
95% Confidence Interval for
Mean
Lower Bound 34,84
Upper Bound 37,74
5% Trimmed Mean 36,24
Median 36,00
Variance 21,062
Std. Deviation 4,589
Minimum 27
Maximum 45
Range 18
Interquartile Range 6
Skewness ,048 ,369
Kurtosis -,809 ,724
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Biaya Iklan ,135 41 ,057 ,948 41 ,060
24
25
****************************************************************** Explore*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
EXAMINE VARIABLES=X1 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Biaya Iklan 41 100,0% 0 0,0% 41 100,0%
Descriptives
Statistic Std. Error
Biaya Iklan Mean 36,29 ,717
95% Confidence Interval for
Mean
Lower Bound 34,84
Upper Bound 37,74
5% Trimmed Mean 36,24
Median 36,00
Variance 21,062
Std. Deviation 4,589
Minimum 27
Maximum 45
Range 18
Interquartile Range 6
Skewness ,048 ,369
Kurtosis -,809 ,724
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Biaya Iklan ,135 41 ,057 ,948 41 ,060
a. Lilliefors Significance Correction
26
27
EXAMINE VARIABLES=X1 X2 X3 X4 Y X7 X10 /PLOT BOXPLOT NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Biaya Iklan 41 100,0% 0 0,0% 41 100,0%
Biaya Publisitas 41 100,0% 0 0,0% 41 100,0%
Biaya Wiraniaga 41 100,0% 0 0,0% 41 100,0%
Promosi Penjualan 41 100,0% 0 0,0% 41 100,0%
Hasil Penjualan 41 100,0% 0 0,0% 41 100,0%
Gaji Karyawan 41 100,0% 0 0,0% 41 100,0%
Usia 41 100,0% 0 0,0% 41 100,0%
28
Descriptives
Statistic Std. Error
Biaya Iklan Mean 36,29 ,717
95% Confidence Interval for
Mean
Lower Bound 34,84
Upper Bound 37,74
5% Trimmed Mean 36,24
Median 36,00
Variance 21,062
Std. Deviation 4,589
Minimum 27
Maximum 45
Range 18
Interquartile Range 6
Skewness ,048 ,369
Kurtosis -,809 ,724
Biaya Publisitas Mean 30,00 ,704
95% Confidence Interval for
Mean
Lower Bound 28,58
Upper Bound 31,42
5% Trimmed Mean 30,00
Median 30,00
Variance 20,313
Std. Deviation 4,507
Minimum 20
Maximum 40
Range 20
Interquartile Range 5
Skewness ,000 ,369
Kurtosis -,373 ,724
Biaya Wiraniaga Mean 57,37 ,914
95% Confidence Interval for
Mean
Lower Bound 55,52
Upper Bound 59,21
5% Trimmed Mean 57,33
Median 57,00
Variance 34,288
Std. Deviation 5,856
Minimum 45
Maximum 69
Range 24
Interquartile Range 8
Skewness ,054 ,369
Kurtosis -,453 ,724
29
Promosi Penjualan Mean 59,88 1,487
95% Confidence Interval for
Mean
Lower Bound 56,87
Upper Bound 62,88
5% Trimmed Mean 59,86
Median 60,00
Variance 90,610
Std. Deviation 9,519
Minimum 40
Maximum 80
Range 40
Interquartile Range 10
Skewness -,032 ,369
Kurtosis -,506 ,724
Hasil Penjualan Mean 459,95 7,187
95% Confidence Interval for
Mean
Lower Bound 445,43
Upper Bound 474,48
5% Trimmed Mean 460,54
Median 465,00
Variance 2117,898
Std. Deviation 46,021
Minimum 360
Maximum 540
Range 180
Interquartile Range 68
Skewness -,088 ,369
Kurtosis -,766 ,724
Gaji Karyawan Mean 3,39 ,195
95% Confidence Interval for
Mean
Lower Bound 3,00
Upper Bound 3,78
5% Trimmed Mean 3,26
Median 3,00
Variance 1,556
Std. Deviation 1,248
Minimum 2
Maximum 7
Range 5
Interquartile Range 2
Skewness 1,542 ,369
Kurtosis 1,632 ,724
Usia Mean 29,61 ,730
95% Confidence Interval for
Mean
Lower Bound 28,13
Upper Bound 31,08
30
5% Trimmed Mean 29,65
Median 32,00
Variance 21,844
Std. Deviation 4,674
Minimum 21
Maximum 40
Range 19
Interquartile Range 8
Skewness -,242 ,369
Kurtosis -,963 ,724
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Biaya Iklan ,135 41 ,057 ,948 41 ,060
Biaya Publisitas ,110 41 ,200* ,973 41 ,436
Biaya Wiraniaga ,110 41 ,200* ,972 41 ,398
Promosi Penjualan ,115 41 ,194 ,971 41 ,370
Hasil Penjualan ,099 41 ,200* ,974 41 ,458
Gaji Karyawan ,379 41 ,000 ,726 41 ,000
Usia ,208 41 ,000 ,901 41 ,002
*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction
31
32
33
34
35
36
37
38
39
40
41
****************************************************************** Crosstabs*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
CROSSTABS /TABLES=Y BY X1 X2 X3 X4 X7 X10 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR /CELLS=COUNT EXPECTED /COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Hasil Penjualan * Biaya Iklan 41 100,00% 0 0,00% 41 100,00%
Hasil Penjualan * Biaya Publisitas 41 100,00% 0 0,00% 41 100,00%
Hasil Penjualan * Biaya Wiraniaga 41 100,00% 0 0,00% 41 100,00%
Hasil Penjualan * Promosi Penjualan 41 100,00% 0 0,00% 41 100,00%
Hasil Penjualan * Gaji Karyawan 41 100,00% 0 0,00% 41 100,00%
Hasil Penjualan * Usia 41 100,00% 0 0,00% 41 100,00%
Crosstab
Biaya Iklan
Total27 30 33 36 39 42 45
Hasil Penjualan
360Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
378Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
396Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
399Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
405Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
408Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
414Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
420Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
429 Count <5 <5 <5 <5 <5 <5 <5 <5
42
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
435Count <5 <5 5 <5 <5 <5 <5 5
Expected Count
n<5 0,7 1 1,2 0,9 0,9 n<5 5
441Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
450Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
465Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
468Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
471Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
480Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
483Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
486Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
495Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
504Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
516Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
522Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
540Count <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
TotalCount <5 6 8 10 7 7 <5 41
Expected Count
<5 6 8 10 7 7 <5 41
Chi-Square Tests
43
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 202,535a 132 ,000
Likelihood Ratio 131,522 132 ,495
Linear-by-Linear Association 22,418 1 ,000
McNemar-Bowker Test . . .b
N of Valid Cases 41
a. 161 cells (100,0%) have expected count less than 5. The minimum expected count is ,02.
b. Computed only for a PxP table, where P must be greater than 1.
Directional Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Lambda
Symmetric 0,582 0,057 8,742 0
Hasil Penjualan Dependent
0,361 0,08 4,363 0
Biaya Iklan Dependent
0,839 0,069 7,663 0
Goodman and Kruskal tau
Hasil Penjualan Dependent
0,285 0,041 ,000c
Biaya Iklan Dependent
0,841 0,016 ,000c
Uncertainty Coefficient
Symmetric 0,676 0,026 20,172 ,495d
Hasil Penjualan Dependent
0,542 0,028 20,172 ,495d
Biaya Iklan Dependent
0,898 0,027 20,172 ,495d
Ordinal by Ordinal
Somers' d
Symmetric 0,708 0,105 6,629 0
Hasil Penjualan Dependent
0,759 0,111 6,629 0
Biaya Iklan Dependent
0,663 0,101 6,629 0
Nominal by Interval
Eta
Hasil Penjualan Dependent
0,773
Biaya Iklan Dependent
0,944
a. Not assuming the null hypothesis.b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
d. Likelihood ratio chi-square probability.
Symmetric Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.
44
Nominal by Nominal
Phi 2,223 0
Cramer's V 0,907 0
Contingency Coefficient 0,912 0
Ordinal by Ordinal
Kendall's tau-b 0,709 0,106 6,629 0Kendall's tau-c 0,726 0,11 6,629 0Gamma 0,768 0,111 6,629 0Spearman Correlation 0,755 0,118 7,189 ,000c
Interval by Interval
Pearson's R 0,749 0,113 7,052 ,000c
Measure of Agreement
Kappa 0 0 .
N of Valid Cases 41 a. Not assuming the null hypothesis.b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a.b. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
Crosstab
Biaya Publisitas
Total20 23 25 28 30 33 35 38 40
Hasil Penjualan
360Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
378Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
396Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
399Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
405Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
408Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
414Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
420Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
429Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
435Count <5 <5 <5 5<5 <5 <5 <5 <5 5
Expected Count n<5 n<5 0,7 0,9 1,1 0,9 0,7n<5 n<5 5
441Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
450Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
465Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
45
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
468Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
471Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
480Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
483Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
486Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
495Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
504Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
516Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
522Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
540Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
TotalCount <5 <5 6 7 9 7 6<5 <5 41
Expected Count <5 <5 6 7 9 7 6<5 <5 41
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 270,947a 176 ,000
Likelihood Ratio 149,793 176 ,925
Linear-by-Linear Association 35,084 1 ,000
McNemar-Bowker Test . . .b
N of Valid Cases 41
a. 207 cells (100,0%) have expected count less than 5. The minimum expected count is ,02.
c.d. Computed only for a PxP table, where P must be greater than 1.
Directional Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Lambda
Symmetric 0,647 0,05 10,741 0
Hasil Penjualan Dependent
0,444 0,083 5,122 0
Biaya Publisitas Dependent
0,875 0,058 9,397 0
Goodman and Kruskal
Hasil Penjualan Dependent
0,363 0,042 ,000c
46
tauBiaya Publisitas Dependent
0,875 0,015 ,000c
Uncertainty Coefficient
Symmetric 0,74 0,024 20,664 ,925d
Hasil Penjualan Dependent
0,617 0,03 20,664 ,925d
Biaya Publisitas Dependent
0,925 0,023 20,664 ,925d
Ordinal by Ordinal
Somers' d
Symmetric 0,895 0,043 19,354 0
Hasil Penjualan Dependent
0,945 0,043 19,354 0
Biaya Publisitas Dependent
0,85 0,045 19,354 0
Nominal by Interval
Eta
Hasil Penjualan Dependent
0,945
Biaya Publisitas Dependent
0,962
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
d. Likelihood ratio chi-square probability.
Symmetric Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Phi 2,571 0
Cramer's V 0,909 0
Contingency Coefficient 0,932 0
Ordinal by Ordinal
Kendall's tau-b 0,897 0,043 19,354 0
Kendall's tau-c 0,898 0,046 19,354 0
Gamma 0,954 0,042 19,354 0
Spearman Correlation 0,952 0,035 19,437 ,000c
Interval by Interval
Pearson's R 0,937 0,037 16,684 ,000c
Measure of Agreement
Kappa 0 0 .
N of Valid Cases 41 a. Not assuming the null hypothesis.b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
Crosstab
47
Biaya Wiraniaga
Total45 48 51 54 57 60 63 66 69
Hasil Penjualan
360Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
378Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
396Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
399Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
405Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
408Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
414Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
420Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
429Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
435Count <5 <5 <5 5 <5 <5 <5 <5 <5 5
Expected Count
n<5 n<5 n<5 1 1 0,9 0,6 n<5 n<5 5
441Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
450Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
465Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
468Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
471Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
480Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
483Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
48
486Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
495Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
504Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
516Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
522Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
540Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
TotalCount <5 <5 <5 8 8 7 5 <5 <5 41
Expected Count
<5 <5 <5 8 8 7 5 <5 <5 41
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 304,767a 176 ,000
Likelihood Ratio 159,270 176 ,812
Linear-by-Linear Association 36,076 1 ,000
McNemar-Bowker Test . . .b
N of Valid Cases 41
a. 207 cells (100,0%) have expected count less than 5. The minimum expected count is ,02.
b. Computed only for a PxP table, where P must be greater than 1.
Directional Measures
ValueAsymp. Std.
Errora Approx. Tb Approx. Sig.
49
Nominal by Nominal
Lambda
Symmetric 0,71 0,055 9,188 0
Hasil Penjualan Dependent
0,5 0,083 5,665 0
Biaya Wiraniaga Dependent
0,939 0,043 10,026 0
Goodman and Kruskal tau
Hasil Penjualan Dependent
0,415 0,046 ,000c
Biaya Wiraniaga Dependent
0,919 0,029 ,000c
Uncertainty Coefficient
Symmetric 0,776 0,025 21,355 ,812d
Hasil Penjualan Dependent
0,656 0,031 21,355 ,812d
Biaya Wiraniaga Dependent
0,95 0,022 21,355 ,812d
Ordinal by Ordinal
Somers' d
Symmetric 0,926 0,024 33,188 0
Hasil Penjualan Dependent
0,971 0,023 33,188 0
Biaya Wiraniaga Dependent
0,886 0,029 33,188 0
Nominal by Interval
Eta
Hasil Penjualan Dependent
0,959
Biaya Wiraniaga Dependent
0,995
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
d. Likelihood ratio chi-square probability.
Symmetric Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Phi 2,726 0
Cramer's V 0,964 0
Contingency Coefficient 0,939 0
Ordinal by Ordinal
Kendall's tau-b 0,927 0,024 33,188 0
Kendall's tau-c 0,936 0,028 33,188 0
Gamma 0,978 0,023 33,188 0
Spearman Correlation 0,977 0,013 28,497 ,000c
Interval by Interval
Pearson's R 0,95 0,03 18,935 ,000c
Measure of Agreement
Kappa 0 0 .
N of Valid Cases 41
50
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a.b. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
Crosstab
Promosi Penjualan
Total40 45 50 55 60 65 70 75 80
Hasil Penjualan
360Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
378Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
396Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
399Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
405Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
408Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
414Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
420Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
429Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
435Count <5 <5 <5 5<5 <5 <5 <5 <5 5
Expected Count
n<5 n<5 n<5 0,9 1,1 0,9 0,6n<5 n<5 5
441Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
450Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
465Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
51
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
468Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
471Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
480Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
483Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
486Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
495Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
504Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
516Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
522Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
540Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 n<5 <5
TotalCount <5 <5 <5 7 9 7 5<5 <5 41
Expected Count
<5 <5 <5 7 9 7 5<5 <5 41
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 281,880a 176 ,000
Likelihood Ratio 154,520 176 ,877
Linear-by-Linear Association 35,294 1 ,000
McNemar-Bowker Test . . .b
N of Valid Cases 41
a. 207 cells (100,0%) have expected count less than 5. The minimum expected count is ,02.
52
b. Computed only for a PxP table, where P must be greater than 1.
Directional Measures
ValueAsymp. Std.
Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Lambda
Symmetric 0,676 0,055 10,187 0
Hasil Penjualan Dependent 0,472 0,083 5,389 0
Promosi Penjualan Dependent 0,906 0,052 9,954 0
Goodman and Kruskal tau
Hasil Penjualan Dependent 0,39 0,046 ,000c
Promosi Penjualan Dependent 0,89 0,029 ,000c
Uncertainty Coefficient
Symmetric 0,757 0,025 21,315 ,877d
Hasil Penjualan Dependent 0,637 0,03 21,315 ,877d
Promosi Penjualan Dependent 0,933 0,024 21,315 ,877d
Ordinal by Ordinal
Somers' d
Symmetric 0,902 0,043 19,217 0
Hasil Penjualan Dependent 0,947 0,043 19,217 0
Promosi Penjualan Dependent 0,861 0,045 19,217 0
Nominal by Interval
Eta
Hasil Penjualan Dependent 0,944
Promosi Penjualan Dependent 0,967
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
53
e. Likelihood ratio chi-square probability.
Symmetric Measures
ValueAsymp. Std.
Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Phi 2,622 0
Cramer's V 0,927 0
Contingency Coefficient 0,934 0
Ordinal by Ordinal
Kendall's tau-b 0,903 0,043 19,217 0
Kendall's tau-c 0,909 0,047 19,217 0
Gamma 0,955 0,042 19,217 0
Spearman Correlation 0,954 0,035 19,763 ,000c
Interval by Interval
Pearson's R 0,939 0,036 17,103 ,000c
Measure of Agreement
Kappa 0 0 .
N of Valid Cases 41 a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
Crosstab
Gaji Karyawan
Total2 3 3 5 7
Hasil Penjualan
360Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
378Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
396Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
399Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
405Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
408 Count <5 <5 <5 <5 <5 <5
54
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
414Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
420Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
429Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
435Count <5 <5 <5 <5 <5 5
Expected Count
n<5 1,7 2 1 n<5 5
441Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
450Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
465Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
468Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
471Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
480Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
483Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
486Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
495Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
504Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
516Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
522Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
540Count <5 <5 <5 <5 <5 <5
Expected Count
n<5 n<5 n<5 n<5 n<5 <5
55
TotalCount <5 14 16 8 <5 41
Expected Count
<5 14 16 8 <5 41
Directional Measures
ValueAsymp. Std.
Errora Approx. Tb Approx. Sig.
Nominal by Nominal
Lambda
Symmetric 0,443 0,074 4,995 0
Hasil Penjualan Dependent
0,194 0,075 2,506 0,012
Gaji Karyawan Dependent
0,8 0,091 4,962 0
Goodman and Kruskal tau
Hasil Penjualan Dependent
0,16 0,018 ,000c
Gaji Karyawan Dependent
0,773 0,05 ,007c
Uncertainty Coefficient
Symmetric 0,493 0,042 9,248 ,542d
Hasil Penjualan Dependent
0,354 0,036 9,248 ,542d
Gaji Karyawan Dependent
0,812 0,053 9,248 ,542d
Ordinal by Ordinal
Somers' d
Symmetric 0,263 0,141 1,844 0,065
Hasil Penjualan Dependent
0,31 0,164 1,844 0,065
Gaji Karyawan Dependent
0,228 0,124 1,844 0,065
Nominal by Interval
Eta
Hasil Penjualan Dependent
0,429
Gaji Karyawan Dependent
0,794
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
d. Likelihood ratio chi-square probability.
Symmetric Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.Nominal by Nominal
Phi 1,753 ,005Cramer's V ,877 ,005Contingency Coefficient ,869 ,005
Ordinal by Ordinal
Kendall's tau-b ,266 ,143 1,844 ,065Kendall's tau-c ,268 ,145 1,844 ,065Gamma ,317 ,167 1,844 ,065Spearman Correlation ,315 ,173 2,070 ,045c
Interval by Interval
Pearson's R,316 ,170 2,080 ,044c
Measure of Agreement
Kappa,000 ,000 .
N of Valid Cases 41 a. Not assuming the null hypothesis.
56
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
Crosstab
Usia Total21 22 23 24 25 26 27 28 29 30 31 32 33 34 40
Hasil Penjualan
360
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
378
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
396
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
399
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
405
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
408
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
414
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
420
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
429
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
435
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 1,1 1,0
n<5
5,0
441
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
450
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
465
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
468
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
471
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
480
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
483
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
486
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expecten< n< n< n< n< n< n< n< n< n< n< n< n< n< n< <5
57
d Count 5 5 5 5 5 5 5 5 5 5 5 5 5 5 549
5Count
<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
504
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
516
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
522
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
540
Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5
Expected Count
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5
n<5 <5
Total Count<5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 9 8 <5 41
Expected Count <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 <5 9,0 8,0 <5
41,0
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 326,349a 308 ,226
Likelihood Ratio 155,593 308 1,000
Linear-by-Linear Association 6,534 1 ,011
McNemar-Bowker Test . . .b
N of Valid Cases 41
a. 345 cells (100,0%) have expected count less than 5. The minimum expected count is ,02.
b. Computed only for a PxP table, where P must be greater than 1.
Directional Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.Nominal by Nominal
Lambda Symmetric ,529 ,066 6,756 ,000Hasil Penjualan Dependent ,417 ,092 4,081 ,000Usia Dependent ,656 ,084 6,561 ,000
Goodman and Kruskal tau
Hasil Penjualan Dependent ,404 ,021 ,032c
Usia Dependent ,654 ,027 ,012c
Uncertainty Coefficient
Symmetric ,708 ,026 17,015 1,000d
Hasil Penjualan Dependent ,641 ,034 17,015 1,000d
Usia Dependent ,790 ,034 17,015 1,000d
Ordinal by Ordinal
Somers' d Symmetric ,306 ,130 2,349 ,019Hasil Penjualan Dependent ,316 ,134 2,349 ,019Usia Dependent ,297 ,127 2,349 ,019
Nominal by Interval
Eta Hasil Penjualan Dependent ,588 Usia Dependent
,895 a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on chi-square approximation
d. Likelihood ratio chi-square probability.
58
Symmetric Measures
Value Asymp. Std. Errora Approx. Tb Approx. Sig.Nominal by Nominal Phi 2,821 ,226
Cramer's V ,754 ,226Contingency Coefficient ,943 ,226
Ordinal by Ordinal Kendall's tau-b ,306 ,130 2,349 ,019Kendall's tau-c ,298 ,127 2,349 ,019Gamma ,326 ,138 2,349 ,019Spearman Correlation ,378 ,167 2,550 ,015c
Interval by Interval Pearson's R ,404 ,152 2,759 ,009c
Measure of Agreement
Kappa
,000 ,000 . N of Valid Cases 41 a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
c. Based on normal approximation.
Risk Estimate
Value
Odds Ratio for Hasil Penjualan (360 / 378) a
a. Risk Estimate statistics cannot be computed. They are only computed for a 2*2 table without empty cells.
CROSSTABS /TABLES=Y BY X1 BY X6 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ CC PHI LAMBDA UC ETA CORR GAMMA D BTAU CTAU KAPPA RISK MCNEMAR /CELLS=COUNT EXPECTED /COUNT ROUND CELL /HIDESMALLCOUNTS COUNT=5 /BARCHART.
****************************************************************** Crosstabs*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
CROSSTABS /TABLES=X6 BY X5 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL /BARCHART.
Tingkat Pendidikan * Jenis Kelamin Crosstabulation
59
Count
Jenis Kelamin
TotalPerempuan Laki-laki
Tingkat Pendidikan SMA 1 0 1
Akademi 5 8 13
S1 8 9 17
S2 4 4 8
S3 2 0 2
Total 20 21 41
****************************************************************** Ratio*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.DATASET NAME DataSet1 WINDOW=FRONT.RATIO STATISTICS X7 WITH Y BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=MEAN PRD STDDEV WGTMEAN.
Case Processing Summary
Count Percent
Jenis Kelamin Perempuan 20 48,8%
Laki-laki 21 51,2%
Overall 41 100,0%
Excluded 0
Total 41
60
Ratio Statistics for Gaji Karyawan / Hasil Penjualan
Group Mean Weighted Mean Std. Deviation Price Related Differential
Perempuan ,008 ,008 ,003 ,985
Laki-laki ,007 ,007 ,002 1,015
Overall ,007 ,007 ,003 1,000
****************************************************************** Ratio*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=COD MDCOV PRD.
Case Processing Summary
Count Percent
Jenis Kelamin Perempuan 20 48,8%
Laki-laki 21 51,2%
Overall 41 100,0%
Excluded 0
Total 41
Ratio Statistics for Hasil Penjualan / Biaya Iklan
Group Price Related Differential Coefficient of Dispersion
Coefficient of Variation
Median Centered
Perempuan 1,008 ,069 10,8%
Laki-laki 1,004 ,039 5,6%
Overall 1,006 ,057 8,4%
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=AAD CIN(95) COD PRD WGTMEAN.
Case Processing Summary
Count Percent
Jenis Kelamin Perempuan 20 48,8%
Laki-laki 21 51,2%
Overall 41 100,0%
Excluded 0
Total 41
61
Ratio Statistics for Hasil Penjualan / Biaya Iklan
GroupWeighted
Mean
95% Confidence Interval for
Weighted Mean Average Absolute Deviation
Price Related Differential Coefficient of Dispersion
Lower Bound
Upper Bound
Perempuan 12,571 11,942 13,199 ,865 1,008 ,069Laki-laki 12,770 12,434 13,105 ,512 1,004 ,039Overall 12,673 12,337 13,009 ,714 1,006 ,057The confidence intervals are constructed by assuming a Normal distribution for the ratios.
RATIO STATISTICS Y WITH X1 BY X5 (ASCENDING) /MISSING=EXCLUDE /PRINT=MAX MDCOV MEAN MEDIAN MIN MNCOV RANGE STDDEV.
Case Processing Summary
Count Percent
Jenis Kelamin Perempuan 20 48,8%
Laki-laki 21 51,2%
Overall 41 100,0%
Excluded 0
Total 41
Ratio Statistics for Hasil Penjualan / Biaya Iklan
Group Mean Median Minimum MaximumStd.
Deviation Range
Coefficient of Variation
Mean Centered
Median Centered
Perempuan 12,677 12,500 9,500 16,364 1,338 6,864 10,6% 10,8%Laki-laki 12,825 13,000 11,600 15,000 ,711 3,400 5,5% 5,6%Overall 12,753 12,600 9,500 16,364 1,053 6,864 8,3% 8,4%
****************************************************************** P-P Plots*****************************************************************GET FILE='D:\ACC\BARU1.sav'.
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
62
Model Description
Model Name MOD_1
Series or Sequence 1 Biaya Iklan
2 Biaya Publisitas
3 Biaya Wiraniaga
4 Promosi Penjualan
5 Hasil Penjualan
6 Gaji Karyawan
7 Usia
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Blom's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_1
Case Processing Summary
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan Gaji Karyawan Usia
Series or Sequence Length41 41 41 41 41 41 41
Number of Missing Values in the Plot
User-Missing0 0 0 0 0 0 0
System-Missing 0 0 0 0 0 0 0
The cases are unweighted.
Estimated Distribution Parameters
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan
Gaji Karyawan Usia
Normal Distribution
Location 36,29 30,00 57,37 59,88 459,95 3,39 29,61Scale 4,589 4,507 5,856 9,519 46,021 1,248 4,674
The cases are unweighted.
63
64
65
66
67
68
69
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_2
Series or Sequence 1 Biaya Iklan
2 Biaya Publisitas
3 Biaya Wiraniaga
4 Promosi Penjualan
5 Hasil Penjualan
6 Gaji Karyawan
7 Usia
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
70
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Rankit
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_2
Case Processing Summary
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan
Gaji Karyawan Usia
Series or Sequence Length 41 41 41 41 41 41 41Number of Missing Values in the Plot
User-Missing 0 0 0 0 0 0 0System-Missing
0 0 0 0 0 0 0The cases are unweighted.
Estimated Distribution Parameters
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan
Gaji Karyawan Usia
Normal Distribution
Location 36,29 30,00 57,37 59,88 459,95 3,39 29,61Scale 4,589 4,507 5,856 9,519 46,021 1,248 4,674
The cases are unweighted.
71
72
73
74
75
76
77
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_3
Series or Sequence 1 Biaya Iklan
2 Biaya Publisitas
3 Biaya Wiraniaga
4 Promosi Penjualan
5 Hasil Penjualan
6 Gaji Karyawan
7 Usia
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
78
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Tukey's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_3
Case Processing Summary
Biaya Iklan
Biaya Publisitas
Biaya Wiraniaga
Promosi Penjualan
Hasil Penjualan
Gaji Karyawan Usia
Series or Sequence Length 41 41 41 41 41 41 41Number of Missing Values in the Plot
User-Missing 0 0 0 0 0 0 0System-Missing
0 0 0 0 0 0 0The cases are unweighted.
Estimated Distribution Parameters
Biaya
Iklan
Biaya Publisita
s
Biaya Wiraniag
a
Promosi Penjuala
n
Hasil Penjuala
n
Gaji Karyawa
n UsiaNormal Distribution
Location
36,29 30,00 57,37 59,88 459,95 3,39
29,61
Scale 4,589 4,507 5,856 9,519 46,021 1,248
4,674
The cases are unweighted.
79
80
81
82
83
84
85
86
PPLOT /VARIABLES=X1 X2 X3 X4 Y X7 X10 /NOLOG /NOSTANDARDIZE /TYPE=P-P /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_4
Series or Sequence 1 Biaya Iklan
2 Biaya Publisitas
3 Biaya Wiraniaga
4 Promosi Penjualan
5 Hasil Penjualan
6 Gaji Karyawan
7 Usia
Transformation None
87
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Van der Waerden's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_4
Case Processing Summary
Biaya
IklanBiaya
Publisitas
Biaya Wiraniag
aPromosi
PenjualanHasil
PenjualanGaji
Karyawan UsiaSeries or Sequence Length 41 41 41 41 41 41 41Number of Missing Values in the Plot
User-Missing 0 0 0 0 0 0 0System-Missing
0 0 0 0 0 0 0The cases are unweighted.
Estimated Distribution Parameters
Biaya
Iklan
Biaya Publisita
s
Biaya Wiraniag
a
Promosi Penjuala
n
Hasil Penjuala
n
Gaji Karyawa
n UsiaNormal Distribution
Location
36,29 30,00 57,37 59,88 459,95 3,39
29,61
Scale 4,589 4,507 5,856 9,519 46,021 1,248
4,674
The cases are unweighted.
88
89
90
91
92
93
94
****************************************************************** Q-Q Plots*****************************************************************
GET FILE='D:\ACC\BARU1.sav'.
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_5
Series or Sequence 1 Hasil Penjualan
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Blom's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_5
95
Case Processing Summary
Hasil Penjualan
Series or Sequence Length 41
Number of Missing Values in the
Plot
User-Missing 0
System-Missing 0
The cases are unweighted.
Estimated Distribution Parameters
Hasil Penjualan
Normal Distribution Location 459,95
Scale 46,021
The cases are unweighted.
96
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=RANKIT /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_6
Series or Sequence 1 Hasil Penjualan
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Rankit
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_6
97
Case Processing Summary
Hasil Penjualan
Series or Sequence Length 41
Number of Missing Values in the
Plot
User-Missing 0
System-Missing 0
The cases are unweighted.
Estimated Distribution Parameters
Hasil Penjualan
Normal Distribution Location 459,95
Scale 46,021
The cases are unweighted.
98
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=TUKEY /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_7
Series or Sequence 1 Hasil Penjualan
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Tukey's
Rank Assigned to Ties Mean rank of tied values
99
Applying the model specifications from MOD_7
Case Processing Summary
Hasil Penjualan
Series or Sequence Length 41
Number of Missing Values in the
Plot
User-Missing 0
System-Missing 0
The cases are unweighted.
Estimated Distribution Parameters
Hasil Penjualan
Normal Distribution Location 459,95
Scale 46,021
The cases are unweighted.
100
101
PPLOT /VARIABLES=Y /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=VW /TIES=MEAN /DIST=NORMAL.
Model Description
Model Name MOD_8
Series or Sequence 1 Hasil Penjualan
Transformation None
Non-Seasonal Differencing 0
Seasonal Differencing 0
Length of Seasonal Period No periodicity
Standardization Not applied
Distribution Type Normal
Location estimated
Scale estimated
Fractional Rank Estimation Method Van der Waerden's
Rank Assigned to Ties Mean rank of tied values
Applying the model specifications from MOD_8
102
Case Processing Summary
Hasil Penjualan
Series or Sequence Length 41
Number of Missing Values in the
Plot
User-Missing 0
System-Missing 0
The cases are unweighted.
Estimated Distribution Parameters
Hasil Penjualan
Normal Distribution Location 459,95
Scale 46,021
The cases are unweighted.
103
Rangkuman
Data yang dipakai di sini adalah sama dengan data yang dipakai dalam Bagian Ke1.
Pembahasan mengenai Descriptive Statistics dalam IBM SPSS Statistics mencakup
Frequencies, Descriptives, Explore, Crosstabs, Ratio, P-P Plots, dan Q-Q Plots. Frequencies
mencakup informasi mengenai Percentiles dan Quartiles, Dispersions, Distribution, dan
Central Tendencies. Dispersions mencakup ukuran-ukuran mengenai deviasi standar, varians
range, minimum, maksimum, dan kesalahan standar dari rata-rata. Distribusi mencakup
skewness, kesalahan standar dari skewness, kurtosis, dan kesalahan standar dari kurtosis.
Kecenderungan sentral mencakup rata-rata, median, modus, dan sum. Grafik dapat
dimanfaatkan dan grafik yang biasa dimanfaatkan di sini adalah histogram dengan kurva
normal. Deskriptif mencakup ukuran-ukuran Mean, Sum, Standard Error of Mean, Kurtosis,
dan Skewness. Explore mencakup Explore Statistics, Plots, Options, dan Bootstrap. Explore
Statistics mencakup peluang pilihan mengenai Descriptives, Confidence Interval for Mean,
M-Estimator, Outlier, dan Percentile. Plots mencakup Factor Level Together, Dependents
together, None, Stem and Leave, Histogram, dan Normality Plots with Test. Crosstab
104
mengandung peluang pilihan Exact, Statistics, Cells, Format, Style, dan Bootstrap. Exact
Tests mengandung peluang pilihan Asymtotic only, Monte Carlo, dan peluang pilihan Exact.
Statistics mengandung peluang pilihan mengenai Chi Square, Correlations, Nominal yang
terdiri dari peluang pilihan mengenai Contingency coefficient, Phi and Cramer’s V, Lambda,
dan Uncertainty Coefficient, Ordinal mencakup peluang pilihan mengenai Gamma,
Sommers’ d, Kendall’s tau-b, dan Kendall’s tau-c. Nominal by Interval mencakup Eta.
Peluang pilihan lain juga tersedia yaitu Kappa, Risk, McNemar, dan Cohran’s and Mandel
Haenszel Statistics. Cell mencakup Count, z-test, Percentage, Residual, dan Noninteger
Weight. Count mencakup Observered, Expected, Hide Small Count Less than 5. Z-rest
mencakup Compare Column Population. Percentage mencakup Column, Row, dan Total.
Residual mencakup Unstandardized, Stadardized, dan Adjusted Standardized. Noninteger
Weight mencakup Round cell count, Truncate cell counts, No adjustments, Round case
weights, dan Truncate case weights.Ratio mengandung peluang pilihan mengenai Central
Tendency, Dispersion, dan Concentration Index. Central Tendency mencakup peluang pilihan
mengenai Median, Mean, Weighted Median, dan Confidence Interval. Dispersion mencakup
AAD, COD, PRD, Median Centered COV, Mean Centered COV, Standard deviation, Range,
Minimum, dan Maximum. Concentration Index mencakup Between Proportion dan Within
Percentage of Median.P-P Plots mengandung peluang pilihan Blom, Rankit, Tukey, dan Van
der Waerden’s. Q-Q Plots mengandung peluang pilihan Blom, Rankit, Tukey, dan Van der
Waerden’s. Sintaksis disusun selengkap mungkin dan mencakup sintaksis secara mandiri dan
sintaksis secara gabungan.
Kritik dari para pembaca diharap dan kritik tersebut mungkin dapat dipakai untuk melakukan
perbaikan atas isi tulisan ini.
Permata Depok Regency, 7 April 2015
105