OUTPUTwanita

NEW FILE.DATASET NAME DataSet3 WINDOW=FRONT.GET FILE='C:\Users\i5-3450\AppData\Local\Temp\Rar$DIa0.423\tanpa23ce.sav'.DATASET NAME DataSet4 WINDOW=FRONT.DATASET ACTIVATE DataSet3.EXAMINE VARIABLES=ukuran /PLOT BOXPLOT STEMLEAF NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL.

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Output Created 03-Oct-2013 10:06:24

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Input Active Dataset DataSet3

Filter <none>

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N of Rows in Working Data

File

72

Missing Value Handling Definition of Missing User-defined missing values for

dependent variables are treated as

missing.

Cases Used Statistics are based on cases with no

missing values for any dependent

variable or factor used.

Syntax EXAMINE VARIABLES=ukuran

/PLOT BOXPLOT STEMLEAF

NPPLOT

/COMPARE GROUPS

/STATISTICS DESCRIPTIVES

/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Resources Processor Time 00 00:00:01.731

Elapsed Time 00 00:00:01.142

[DataSet3]

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

ukuran 69 95.8% 3 4.2% 72 100.0%

Descriptives

Statistic Std. Error

ukuran Mean 166.2275 2.35006

95% Confidence Interval for

Mean

Lower Bound 161.5381

Upper Bound 170.9170

5% Trimmed Mean 168.0427

Median 168.0000

Variance 381.071

Std. Deviation 19.52105

Minimum 15.00

Maximum 194.80

Range 179.80

Interquartile Range 7.80

Skewness -6.967 .289

Kurtosis 54.813 .570

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

ukuran .320 69 .000 .356 69 .000

a. Lilliefors Significance Correction

ukuran

ukuran Stem-and-Leaf Plot

Frequency Stem & Leaf

1.00 Extremes (=<15) 3.00 15 . 679 18.00 16 . 000122222333333444 23.00 16 . 56666666777888888899999 13.00 17 . 0000001122344 9.00 17 . 556677779 1.00 18 . 0 1.00 Extremes (>=195)

Stem width: 10.00 Each leaf: 1 case(s)

NPAR TESTS /K-S(NORMAL)=d1 d2 d3 d4 d5 d6 d7 d8 d9 d10 d11 d12 d13 d14 d15 d16 d17 d18 d19 d20 d21 d22 d23 d24 d25 d26 d27 d28 d29 d30 d31 d32 d33 d34 d35 d36 /MISSING ANALYSIS.

NPar Tests

Notes


Comments


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69

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each test are based on all

cases with valid data for the variable(s)

used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=d1 d2 d3 d4 d5 d6 d7

d8 d9 d10 d11 d12 d13 d14 d15 d16

d17 d18 d19 d20 d21 d22 d23 d24 d25

d26 d27 d28 d29 d30 d31 d32 d33 d34

d35 d36

/MISSING ANALYSIS.


Elapsed Time 00 00:00:00.018

Number of Cases Alloweda 20164

a. Based on availability of workspace memory.

[DataSet3]

One-Sample Kolmogorov-Smirnov Test

d1 d2 d3 d4

N 69 69 69 69

Normal Parametersa,b Mean 166.23 157.1652 140.4565 104.5246

Std. Deviation 19.521 6.36638 6.52302 5.46221

Most Extreme Differences Absolute .320 .099 .108 .090

Positive .237 .099 .108 .090

Negative -.320 -.069 -.081 -.067

Kolmogorov-Smirnov Z 2.656 .826 .894 .745

Asymp. Sig. (2-tailed) .000 .503 .401 .636


d5 d6 d7 d8

N 69 69 69 69


Std. Deviation 8.71193 8.85754 4.08912 3.78087


Positive .141 .135 .057 .131

Negative -.183 -.216 -.076 -.071

Kolmogorov-Smirnov Z 1.518 1.794 .630 1.089

Asymp. Sig. (2-tailed) .020 .003 .823 .186


d9 d10 d11 d12

N 69 69 69 69


Std. Deviation 3.30770 3.50968 20.86583 2.45951


Positive .095 .079 .420 .073

Negative -.058 -.065 -.373 -.055

Kolmogorov-Smirnov Z .787 .654 3.492 .608

Asymp. Sig. (2-tailed) .566 .786 .000 .854


d13 d14 d15 d16

N 69 69 69 69


Std. Deviation 4.75711 3.50639 4.63141 2.28217


Positive .091 .079 .160 .061

Negative -.155 -.098 -.099 -.063

Kolmogorov-Smirnov Z 1.286 .812 1.328 .526

Asymp. Sig. (2-tailed) .073 .524 .059 .944


d17 d18 d19 d20

N 69 69 69 69


Std. Deviation 6.81755 3.98942 5.74946 3.09673


Positive .121 .074 .076 .091

Negative -.170 -.051 -.087 -.063

Kolmogorov-Smirnov Z 1.410 .612 .726 .753

Asymp. Sig. (2-tailed) .038 .849 .668 .623


d21 d22 d23 d24

N 69 69 69 69


Std. Deviation 4.19422 3.65929 3.73327 5.55557


Positive .093 .058 .071 .079

Negative -.052 -.077 -.075 -.049

Kolmogorov-Smirnov Z .771 .639 .623 .660

Asymp. Sig. (2-tailed) .592 .809 .832 .777


d25 d26 d27 d28

N 69 69 69 69


Std. Deviation 5.30673 6.38945 1.92321 2.33468


Positive .062 .317 .056 .168

Negative -.066 -.235 -.051 -.248

Kolmogorov-Smirnov Z .551 2.633 .466 2.063

Asymp. Sig. (2-tailed) .922 .000 .982 .000


d29 d30 d31 d32

N 69 69 69 69


Std. Deviation .56696 2.46460 1.60235 8.24522


Positive .146 .128 .167 .115

Negative -.129 -.126 -.139 -.066

Kolmogorov-Smirnov Z 1.213 1.063 1.390 .956

Asymp. Sig. (2-tailed) .106 .208 .042 .320


d33 d34 d35 d36

N 69 69 69 69


Std. Deviation 5.56080 14.43598 7.12210 4.28038


Positive .045 .165 .062 .078

Negative -.068 -.125 -.083 -.063

Kolmogorov-Smirnov Z .565 1.373 .693 .652

Asymp. Sig. (2-tailed) .907 .046 .723 .790

a. Test distribution is Normal.

b. Calculated from data.

SAVE OUTFILE='I:\ergo\modul2-priadata.sav' /COMPRESSED.DATASET CLOSE DataSet2.DATASET CLOSE DataSet4.NPAR TESTS /K-S(NORMAL)=d1 d2 d3 d4 d5 d6 d7 d8 d9 d10 d11 d12 d13 d14 d15 d16 d17 d18 d19 d20 d21 d22 d23 d24 d25 d26 d27 d28 d29 d30 d31 d32 d33 d34 d35 d36 /MISSING ANALYSIS.

NPar Tests

Notes


Comments


Filter <none>

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File

52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each test are based on all

cases with valid data for the variable(s)

used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=d1 d2 d3 d4 d5 d6 d7

d8 d9 d10 d11 d12 d13 d14 d15 d16

d17 d18 d19 d20 d21 d22 d23 d24 d25

d26 d27 d28 d29 d30 d31 d32 d33 d34

d35 d36

/MISSING ANALYSIS.


Elapsed Time 00 00:00:00.020

Number of Cases Alloweda 20164

a. Based on availability of workspace memory.

[DataSet0]


d1 d2 d3 d4

N 52 52 52 52


Std. Deviation 4.72343 5.08878 4.41638 4.17213


Positive .094 .081 .073 .078

Negative -.055 -.055 -.047 -.058


Asymp. Sig. (2-tailed) .753 .881 .947 .913


d5 d6 d7 d8

N 52 52 52 52


Std. Deviation 5.33616 3.87202 3.64133 4.35018


Positive .088 .100 .044 .095

Negative -.120 -.117 -.089 -.169

Kolmogorov-Smirnov Z .867 .842 .639 1.219

Asymp. Sig. (2-tailed) .440 .477 .810 .102


d9 d10 d11 d12

N 52 52 52 52


Std. Deviation 3.88846 6.17452 5.26870 1.85304


Positive .139 .239 .200 .099

Negative -.078 -.191 -.148 -.052

Kolmogorov-Smirnov Z 1.001 1.721 1.444 .712

Asymp. Sig. (2-tailed) .269 .005 .031 .692


d13 d14 d15 d16

N 52 52 52 52


Std. Deviation 2.75897 2.21698 2.81041 3.00010


Positive .070 .052 .064 .047

Negative -.135 -.116 -.057 -.067


Asymp. Sig. (2-tailed) .301 .484 .983 .975


d17 d18 d19 d20

N 52 52 52 52


Std. Deviation 3.25730 5.14497 3.49350 3.93813


Positive .091 .123 .077 .196

Negative -.097 -.204 -.057 -.101

Kolmogorov-Smirnov Z .698 1.468 .558 1.411

Asymp. Sig. (2-tailed) .714 .027 .915 .037


d21 d22 d23 d24

N 52 52 52 52


Std. Deviation 3.50453 3.09170 3.35433 3.65370


Positive .099 .046 .083 .092

Negative -.054 -.070 -.067 -.099


Asymp. Sig. (2-tailed) .684 .959 .871 .685


d25 d26 d27 d28

N 52 52 52 52


Std. Deviation 3.48245 1.89592 1.35708 .77899


Positive .082 .063 .079 .104

Negative -.095 -.057 -.134 -.127


Asymp. Sig. (2-tailed) .730 .985 .312 .376


d29 d30 d31 d32

N 52 52 52 52


Std. Deviation .60835 2.28009 1.29999 12.22412


Positive .130 .116 .117 .170

Negative -.082 -.069 -.058 -.247

Kolmogorov-Smirnov Z .935 .834 .846 1.783

Asymp. Sig. (2-tailed) .346 .490 .472 .003


d33 d34 d35 d36

N 52 52 52 52


Std. Deviation 11.39767 11.28317 5.47405 4.10315


Positive .253 .214 .040 .083

Negative -.167 -.144 -.074 -.087

Kolmogorov-Smirnov Z 1.821 1.544 .533 .628

Asymp. Sig. (2-tailed) .003 .017 .939 .826

a. Test distribution is Normal.

b. Calculated from data.

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OUTPUTwanita