Sintaksis Dalam Ibm Spss Statistics 2

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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 1

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Sintaksis Dalam Ibm Spss Statistics 2

Transcript of Sintaksis Dalam Ibm Spss Statistics 2

Page 1: Sintaksis Dalam Ibm Spss Statistics 2

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

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/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

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/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

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/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.

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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.

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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.

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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

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/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

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/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'.*****************************************************************

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* 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

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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

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****************************************************************** 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

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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

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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

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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

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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

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****************************************************************** 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

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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.

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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

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/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

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 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

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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

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25

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****************************************************************** 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

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27

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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

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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

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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

Page 31: Sintaksis Dalam Ibm Spss Statistics 2

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

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32

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33

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34

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35

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36

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37

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38

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39

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40

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41

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****************************************************************** 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

Page 43: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 44: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 45: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 46: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 47: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 48: Sintaksis Dalam Ibm Spss Statistics 2

 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

Page 49: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 50: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 51: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 52: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 53: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 54: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 55: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 56: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 57: Sintaksis Dalam Ibm Spss Statistics 2

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

Page 58: Sintaksis Dalam Ibm Spss Statistics 2

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.

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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

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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

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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

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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.

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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.

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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

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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.

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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

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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.

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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

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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.

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****************************************************************** 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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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