Arsyil Hendra Saputra | J2E008009 | 1 OUTPUT 1 RANCANGAN FAKTORIAL 3 FAKTOR DALAM RAL The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 ulang 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 26 162689135.6 6257274.4 12.51 <.0001 Error 54 27019736.0 500365.5 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.857573 11.40864 707.3652 6200.259 Source DF Type I SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 1
OUTPUT 1 RANCANGAN FAKTORIAL 3 FAKTOR DALAM RAL The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 ulang 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 26 162689135.6 6257274.4 12.51 <.0001 Error 54 27019736.0 500365.5 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.857573 11.40864 707.3652 6200.259 Source DF Type I SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 35.03 <.0001 m 2 22785126.74 11392563.37 22.77 <.0001 v 2 94648726.22 47324363.11 94.58 <.0001 n*m 4 161644.96 40411.24 0.08 0.9879 n*v 4 3435560.81 858890.20 1.72 0.1598 m*v 4 4240349.48 1060087.37 2.12 0.0910 n*m*v 8 2362962.59 295370.32 0.59 0.7815 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 2
Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54 Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 C 5632.8 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 54 Error Mean Square 500365.5 Number of Means 2 3 Critical Range 386.0 406.0 Means with the same letter are not significantly different. Duncan Grouping Mean N v A 7641.0 27 3 B 5922.6 27 2 C 5037.2 27 1
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 3
The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 235.78839 <.0001 1 1 2 5175.00000 235.78839 <.0001 2 1 3 6105.33333 235.78839 <.0001 3 2 1 5645.00000 235.78839 <.0001 4 2 2 6069.33333 235.78839 <.0001 5 2 3 6946.66667 235.78839 <.0001 6 3 1 6379.66667 235.78839 <.0001 7 3 2 6933.22222 235.78839 <.0001 8 3 3 7674.33333 235.78839 <.0001 9 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.3704 0.0005 0.0246 0.0007 2 0.3704 0.0073 0.1644 0.0097 3 0.0005 0.0073 0.1731 0.9144 4 0.0246 0.1644 0.1731 0.2086 5 0.0007 0.0097 0.9144 0.2086 6 <.0001 <.0001 0.0146 0.0003 0.0111 7 <.0001 0.0007 0.4143 0.0319 0.3562 8 <.0001 <.0001 0.0162 0.0003 0.0123 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 <.0001 <.0001 <.0001 2 <.0001 0.0007 <.0001 <.0001 3 0.0146 0.4143 0.0162 <.0001 4 0.0003 0.0319 0.0003 <.0001 5 0.0111 0.3562 0.0123 <.0001 6 0.0948 0.9680 0.0335 7 0.0948 0.1027 0.0003 8 0.9680 0.1027 0.0305 9 0.0335 0.0003 0.0305 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 235.78839 <.0001 1 1 2 5162.88889 235.78839 <.0001 2 1 3 6478.11111 235.78839 <.0001 3 2 1 4763.66667 235.78839 <.0001 4 2 2 6016.22222 235.78839 <.0001 5 2 3 7881.11111 235.78839 <.0001 6 3 1 5834.88889 235.78839 <.0001 7 3 2 6588.55556 235.78839 <.0001 8 3 3 8563.77778 235.78839 <.0001 9
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 4
The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0565 <.0001 0.4557 <.0001 2 0.0565 0.0002 0.2364 0.0133 3 <.0001 0.0002 <.0001 0.1717 4 0.4557 0.2364 <.0001 0.0004 5 <.0001 0.0133 0.1717 0.0004 6 <.0001 <.0001 <.0001 <.0001 <.0001 7 0.0002 0.0489 0.0590 0.0022 0.5888 8 <.0001 <.0001 0.7418 <.0001 0.0918 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0489 <.0001 <.0001 3 <.0001 0.0590 0.7418 <.0001 4 <.0001 0.0022 <.0001 <.0001 5 <.0001 0.5888 0.0918 <.0001 6 <.0001 0.0003 0.0455 7 <.0001 0.0279 <.0001 8 0.0003 0.0279 <.0001 9 0.0455 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN m v hasil LSMEAN Error Pr > |t| Number 1 1 4451.66667 235.78839 <.0001 1 1 2 5749.11111 235.78839 <.0001 2 1 3 6697.66667 235.78839 <.0001 3 2 1 4875.33333 235.78839 <.0001 4 2 2 5675.55556 235.78839 <.0001 5 2 3 7626.66667 235.78839 <.0001 6 3 1 5784.66667 235.78839 <.0001 7 3 2 6343.00000 235.78839 <.0001 8 3 3 8598.66667 235.78839 <.0001 9 Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0003 <.0001 0.2093 0.0006 2 0.0003 0.0063 0.0114 0.8262 3 <.0001 0.0063 <.0001 0.0034 4 0.2093 0.0114 <.0001 0.0199 5 0.0006 0.8262 0.0034 0.0199 6 <.0001 <.0001 0.0073 <.0001 <.0001 7 0.0002 0.9155 0.0084 0.0086 0.7448 8 <.0001 0.0805 0.2922 <.0001 0.0504 9 <.0001 <.0001 <.0001 <.0001 <.0001
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 5
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 8
OUTPUT 2 RANCANGAN PETAK-PETAK TERBAGI (SPLIT-SPLIT PLOT DESIGN) The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 kel 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 44 167761532.7 3812762.1 6.25 <.0001 Error 36 21947338.9 609648.3 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.884310 12.59302 780.7998 6200.259 Source DF Type I SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 12 2771220.52 230935.04 0.38 0.9627 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Source DF Type III SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 12 2771220.52 230935.04 0.38 0.9627 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 9
The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 323993.6 Number of Means 2 3 Critical Range 430.1 439.5 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 12 Error Mean Square 230935 Number of Means 2 3 Critical Range 285.0 298.3 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 C 5632.8 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 36 Error Mean Square 609648.3 Number of Means 2 3 Critical Range 431.0 453.1 Means with the same letter are not significantly different. Duncan Grouping Mean N v
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 10
A 7641.0 27 3 B 5922.6 27 2 C 5037.2 27 1 The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 260.26659 <.0001 1 1 2 5175.00000 260.26659 <.0001 2 1 3 6105.33333 260.26659 <.0001 3 2 1 5645.00000 260.26659 <.0001 4 2 2 6069.33333 260.26659 <.0001 5 2 3 6946.66667 260.26659 <.0001 6 3 1 6379.66667 260.26659 <.0001 7 3 2 6933.22222 260.26659 <.0001 8 3 3 7674.33333 260.26659 <.0001 9 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.4185 0.0019 0.0432 0.0025 2 0.4185 0.0160 0.2098 0.0202 3 0.0019 0.0160 0.2191 0.9226 4 0.0432 0.2098 0.2191 0.2566 5 0.0025 0.0202 0.9226 0.2566 6 <.0001 <.0001 0.0283 0.0011 0.0225 7 0.0002 0.0024 0.4609 0.0535 0.4047 8 <.0001 <.0001 0.0307 0.0013 0.0245 9 <.0001 <.0001 0.0001 <.0001 0.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0024 <.0001 <.0001 3 0.0283 0.4609 0.0307 0.0001 4 0.0011 0.0535 0.0013 <.0001 5 0.0225 0.4047 0.0245 0.0001 6 0.1322 0.9711 0.0557 7 0.1322 0.1413 0.0012 8 0.9711 0.1413 0.0516 9 0.0557 0.0012 0.0516 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 260.26659 <.0001 1 1 2 5162.88889 260.26659 <.0001 2 1 3 6478.11111 260.26659 <.0001 3 2 1 4763.66667 260.26659 <.0001 4 2 2 6016.22222 260.26659 <.0001 5 2 3 7881.11111 260.26659 <.0001 6 3 1 5834.88889 260.26659 <.0001 7 3 2 6588.55556 260.26659 <.0001 8 3 3 8563.77778 260.26659 <.0001 9 The SAS System
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 11
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 15
The SAS System The GLM Procedure Dependent Variable: hasil Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172 Tests of Hypotheses Using the Type III MS for kel(n*m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F m 2 22785126.74 11392563.37 49.33 <.0001 n*m 4 161644.96 40411.24 0.17 0.9470
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 16
OUTPUT 3 RANCANGAN PETAK TERBAGI BERJALUR (STRIP-SPLIT BLOK DESIGN) The SAS System The GLM Procedure Class Level Information Class Levels Values n 3 1 2 3 m 3 1 2 3 v 3 1 2 3 kel 3 1 2 3 Number of observations 81 The SAS System The GLM Procedure Dependent Variable: hasil Sum of Source DF Squares Mean Square F Value Pr > F Model 44 167761532.7 3812762.1 6.25 <.0001 Error 36 21947338.9 609648.3 Corrected Total 80 189708871.6 R-Square Coeff Var Root MSE hasil Mean 0.884310 12.59302 780.7998 6200.259 Source DF Type I SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 kel(m) 4 1307180.52 326795.13 0.54 0.7101 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 8 1464040.00 183005.00 0.30 0.9611 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Source DF Type III SS Mean Square F Value Pr > F kel 2 1005202.07 502601.04 0.82 0.4466 n 2 35054764.74 17527382.37 28.75 <.0001 kel(n) 4 1295974.52 323993.63 0.53 0.7134 m 2 22785126.74 11392563.37 18.69 <.0001 kel(m) 4 1307180.52 326795.13 0.54 0.7101 n*m 4 161644.96 40411.24 0.07 0.9916 kel(n*m) 8 1464040.00 183005.00 0.30 0.9611 v 2 94648726.22 47324363.11 77.63 <.0001 n*v 4 3435560.81 858890.20 1.41 0.2507 m*v 4 4240349.48 1060087.37 1.74 0.1629 n*m*v 8 2362962.59 295370.32 0.48 0.8590 Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 17
The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 323993.6 Number of Means 2 3 Critical Range 430.1 439.5 Means with the same letter are not significantly different. Duncan Grouping Mean N n A 6995.7 27 3 B 6220.3 27 2 C 5384.7 27 1 The SAS System The GLM Procedure Duncan's Multiple Range Test for hasil NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 4 Error Mean Square 326795.1 Number of Means 2 3 Critical Range 432.0 441.4 Means with the same letter are not significantly different. Duncan Grouping Mean N m A 6908.8 27 3 B 6059.2 27 2 B B 5632.8 27 1 The SAS System The GLM Procedure Least Squares Means Standard LSMEAN n m hasil LSMEAN Error Pr > |t| Number 1 1 4873.77778 260.26659 <.0001 1 1 2 5175.00000 260.26659 <.0001 2 1 3 6105.33333 260.26659 <.0001 3 2 1 5645.00000 260.26659 <.0001 4 2 2 6069.33333 260.26659 <.0001 5 2 3 6946.66667 260.26659 <.0001 6 3 1 6379.66667 260.26659 <.0001 7 3 2 6933.22222 260.26659 <.0001 8 3 3 7674.33333 260.26659 <.0001 9
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 18
Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.4185 0.0019 0.0432 0.0025 2 0.4185 0.0160 0.2098 0.0202 3 0.0019 0.0160 0.2191 0.9226 4 0.0432 0.2098 0.2191 0.2566 5 0.0025 0.0202 0.9226 0.2566 6 <.0001 <.0001 0.0283 0.0011 0.0225 7 0.0002 0.0024 0.4609 0.0535 0.4047 8 <.0001 <.0001 0.0307 0.0013 0.0245 9 <.0001 <.0001 0.0001 <.0001 0.0001 Least Squares Means for effect n*m Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0002 <.0001 <.0001 2 <.0001 0.0024 <.0001 <.0001 3 0.0283 0.4609 0.0307 0.0001 4 0.0011 0.0535 0.0013 <.0001 5 0.0225 0.4047 0.0245 0.0001 6 0.1322 0.9711 0.0557 7 0.1322 0.1413 0.0012 8 0.9711 0.1413 0.0516 9 0.0557 0.0012 0.0516 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n v hasil LSMEAN Error Pr > |t| Number 1 1 4513.11111 260.26659 <.0001 1 1 2 5162.88889 260.26659 <.0001 2 1 3 6478.11111 260.26659 <.0001 3 2 1 4763.66667 260.26659 <.0001 4 2 2 6016.22222 260.26659 <.0001 5 2 3 7881.11111 260.26659 <.0001 6 3 1 5834.88889 260.26659 <.0001 7 3 2 6588.55556 260.26659 <.0001 8 3 3 8563.77778 260.26659 <.0001 9 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0860 <.0001 0.5004 0.0002 2 0.0860 0.0010 0.2853 0.0262 3 <.0001 0.0010 <.0001 0.2176 4 0.5004 0.2853 <.0001 0.0016 5 0.0002 0.0262 0.2176 0.0016 6 <.0001 <.0001 0.0005 <.0001 <.0001 7 0.0010 0.0762 0.0891 0.0062 0.6252 8 <.0001 0.0004 0.7659 <.0001 0.1287 9 <.0001 <.0001 <.0001 <.0001 <.0001 Least Squares Means for effect n*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 19
i/j 6 7 8 9 1 <.0001 0.0010 <.0001 <.0001 2 <.0001 0.0762 0.0004 <.0001 3 0.0005 0.0891 0.7659 <.0001 4 <.0001 0.0062 <.0001 <.0001 5 <.0001 0.6252 0.1287 <.0001 6 <.0001 0.0012 0.0718 7 <.0001 0.0479 <.0001 8 0.0012 0.0479 <.0001 9 0.0718 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN m v hasil LSMEAN Error Pr > |t| Number 1 1 4451.66667 260.26659 <.0001 1 1 2 5749.11111 260.26659 <.0001 2 1 3 6697.66667 260.26659 <.0001 3 2 1 4875.33333 260.26659 <.0001 4 2 2 5675.55556 260.26659 <.0001 5 2 3 7626.66667 260.26659 <.0001 6 3 1 5784.66667 260.26659 <.0001 7 3 2 6343.00000 260.26659 <.0001 8 3 3 8598.66667 260.26659 <.0001 9 Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 1 2 3 4 5 1 0.0012 <.0001 0.2573 0.0020 2 0.0012 0.0142 0.0231 0.8427 3 <.0001 0.0142 <.0001 0.0087 4 0.2573 0.0231 <.0001 0.0364 5 0.0020 0.8427 0.0087 0.0364 6 <.0001 <.0001 0.0162 <.0001 <.0001 7 0.0009 0.9236 0.0179 0.0184 0.7686 8 <.0001 0.1154 0.3417 0.0003 0.0781 9 <.0001 <.0001 <.0001 <.0001 <.0001 The SAS System The GLM Procedure Least Squares Means Least Squares Means for effect m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 6 7 8 9 1 <.0001 0.0009 <.0001 <.0001 2 <.0001 0.9236 0.1154 <.0001 3 0.0162 0.0179 0.3417 <.0001 4 <.0001 0.0184 0.0003 <.0001 5 <.0001 0.7686 0.0781 <.0001 6 <.0001 0.0013 0.0122 7 <.0001 0.1380 <.0001 8 0.0013 0.1380 <.0001 9 0.0122 <.0001 <.0001 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. Standard LSMEAN n m v hasil LSMEAN Error Pr > |t| Number
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 20
A r s y i l H e n d r a S a p u t r a | J 2 E 0 0 8 0 0 9 | 22
Least Squares Means for effect n*m*v Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: hasil i/j 22 23 24 25 26 27 1 0.0067 0.0002 <.0001 0.0002 <.0001 <.0001 2 0.5483 0.0786 <.0001 0.0678 0.0044 <.0001 3 0.5821 0.0870 <.0001 0.0752 0.0050 <.0001 4 0.0328 0.0016 <.0001 0.0013 <.0001 <.0001 5 0.1181 0.0081 <.0001 0.0067 0.0003 <.0001 6 0.2388 0.9950 0.0025 0.9375 0.2233 0.0002 7 0.5269 0.0736 <.0001 0.0634 0.0040 <.0001 8 0.6393 0.1022 <.0001 0.0887 0.0062 <.0001 9 0.0069 0.1051 0.1228 0.1206 0.6699 0.0149 10 0.0242 0.0011 <.0001 0.0009 <.0001 <.0001 11 0.7682 0.3704 0.0002 0.3337 0.0392 <.0001 12 0.1086 0.6616 0.0081 0.7146 0.4338 0.0006 13 0.0781 0.0047 <.0001 0.0038 0.0001 <.0001 14 0.8976 0.2898 0.0001 0.2589 0.0269 <.0001 15 0.0024 0.0462 0.2467 0.0539 0.4107 0.0379 16 0.6976 0.1193 <.0001 0.1039 0.0076 <.0001 17 0.3693 0.7698 0.0011 0.7153 0.1353 <.0001 18 <.0001 0.0003 0.4583 0.0004 0.0090 0.8210 19 0.4323 0.0533 <.0001 0.0456 0.0026 <.0001 20 0.7003 0.4198 0.0003 0.3800 0.0478 <.0001 21 0.0014 0.0308 0.3266 0.0362 0.3167 0.0563 22 0.2364 <.0001 0.2098 0.0199 <.0001 23 0.2364 0.0026 0.9425 0.2256 0.0002 24 <.0001 0.0026 0.0031 0.0520 0.3347 25 0.2098 0.9425 0.0031 0.2536 0.0002 26 0.0199 0.2256 0.0520 0.2536 0.0050 27 <.0001 0.0002 0.3347 0.0002 0.0050 NOTE: To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used. The SAS System The GLM Procedure Dependent Variable: hasil Tests of Hypotheses Using the Type III MS for kel(n) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n 2 35054764.74 17527382.37 54.10 0.0013 kel 2 1005202.07 502601.04 1.55 0.3172 Tests of Hypotheses Using the Type III MS for kel(m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F m 2 22785126.74 11392563.37 34.86 0.0029 Tests of Hypotheses Using the Type III MS for kel(n*m) as an Error Term Source DF Type III SS Mean Square F Value Pr > F n*m 4 161644.9630 40411.2407 0.22 0.9194