L-1
LAMPIRAN
1. Data Pengolahan Minitab Bagian Pertama
General Linear Model: Frekuensi Versus Waktu, Operator
Factor Type Levels Values Waktu fixed 2 1, 2
Operator fixed 5 1, 2, 3, 4, 5
Analysis of Variance for Frekuensi, using Adjusted SS for Tests Source DF Seq SS Adj SS Adj MS F P
Waktu 1 2339.28 2339.28 2339.28 1439.15 0.000 Operator 4 22.88 22.88 5.72 3.52 0.014
Error 44 71.52 71.52 1.63 Total 49 2433.68
S = 1.27493 R-Sq = 97.06 R-Sqadj = 96.73 Obs Frekuensi Fit SE Fit Residual St Resid
8 20.0000 17.5600 0.4416 2.4400 2.04 R 10 22.0000 19.3600 0.4416 2.6400 2.21 R
39 20.0000 17.5600 0.4416 2.4400 2.04 R\
General Linear Model: Frekuensi versus Waktu, Operator
Factor Type Levels Values Waktu fixed 2 3, 4
Operator fixed 5 1, 2, 3, 4, 5
Analysis of Variance for Frekuensi, using Adjusted SS for Tests Source DF Seq SS Adj SS Adj MS F P
Waktu 1 2563.28 2563.28 2563.28 1690.41 0.000 Operator 4 4.32 4.32 1.08 0.71 0.588
Error 44 66.72 66.72 1.52 Total 49 2634.32
S = 1.23141 R-Sq = 97.47 R-Sqadj = 97.18 Obs Frekuensi Fit SE Fit Residual St Resid
23 28.0000 30.3600 0.4266 -2.3600 -2.04 R 49 14.0000 16.6400 0.4266 -2.6400 -2.29 R
R denotes an observation with a large standardized residual.
L a m p i r a n L | 2
UNIVERSITAS KRISTEN MARANATHA
2. Data Pengolahan Minitab Bagian Kedua
General Linear Model: Salah versus Istirahat, Nama
Factor Type Levels Values Istirahat fixed 4 1, 2, 3, 4
Nama fixed 5 1, 2, 3, 4, 5
Analysis of Variance for Salah, using Adjusted SS for Tests Source DF Seq SS Adj SS Adj MS F P
Istirahat 3 459.040 459.040 153.013 156.14 0.000 Nama 4 2.960 2.960 0.740 0.76 0.557
92 90.160 90.160 0.980 Total 99 552.160
S = 0.989949 R-Sq = 83.67 R-Sqadj = 82.43 Obs Salah Fit SE Fit Residual St Resid
75 2.00000 4.16000 0.28000 -2.16000 -2.27 R R denotes an observation with a large standardized residual.
3. Data Human Face Anthropometry
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