# NIST/ITL StRD # Dataset Name: SmLs07 (SmLs07.dat) # # File Format: ASCII # Certified Values (lines 41 to 47) # Data (lines 61 to 249) # # Procedure: Analysis of Variance # # Reference: Simon, Stephen D. and Lesage, James P. (1989). # "Assessing the Accuracy of ANOVA Calculations in # Statistical Software". # Computational Statistics & Data Analysis, 8, pp. 325-332. # # Data: 1 Factor # 9 Treatments # 21 Replicates/Cell # 189 Observations # 13 Constant Leading Digits # Higher Level of Difficulty # Generated Data # # Model: 10 Parameters (mu,tau_1, ... , tau_9) # y_{ij} = mu + tau_i + epsilon_{ij} # # Certified Values: # # Source of Sums of Mean # Variation df Squares Squares F Statistic # # Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01 # Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02 # # Certified R-Squared 4.82758620689655E-01 # # Certified Residual # Standard Deviation 1.00000000000000E-01 # Data: Treatment Response set loc Treatment qua set loc Response qua read cases inline 1 1 1000000000000.4 2 1 1000000000000.3 3 1 1000000000000.5 4 1 1000000000000.3 5 1 1000000000000.5 6 1 1000000000000.3 7 1 1000000000000.5 8 1 1000000000000.3 9 1 1000000000000.5 10 1 1000000000000.3 11 1 1000000000000.5 12 1 1000000000000.3 13 1 1000000000000.5 14 1 1000000000000.3 15 1 1000000000000.5 16 1 1000000000000.3 17 1 1000000000000.5 18 1 1000000000000.3 19 1 1000000000000.5 20 1 1000000000000.3 21 1 1000000000000.5 22 2 1000000000000.3 23 2 1000000000000.2 24 2 1000000000000.4 25 2 1000000000000.2 26 2 1000000000000.4 27 2 1000000000000.2 28 2 1000000000000.4 29 2 1000000000000.2 30 2 1000000000000.4 31 2 1000000000000.2 32 2 1000000000000.4 33 2 1000000000000.2 34 2 1000000000000.4 35 2 1000000000000.2 36 2 1000000000000.4 37 2 1000000000000.2 38 2 1000000000000.4 39 2 1000000000000.2 40 2 1000000000000.4 41 2 1000000000000.2 42 2 1000000000000.4 43 3 1000000000000.5 44 3 1000000000000.4 45 3 1000000000000.6 46 3 1000000000000.4 47 3 1000000000000.6 48 3 1000000000000.4 49 3 1000000000000.6 50 3 1000000000000.4 51 3 1000000000000.6 52 3 1000000000000.4 53 3 1000000000000.6 54 3 1000000000000.4 55 3 1000000000000.6 56 3 1000000000000.4 57 3 1000000000000.6 58 3 1000000000000.4 59 3 1000000000000.6 60 3 1000000000000.4 61 3 1000000000000.6 62 3 1000000000000.4 63 3 1000000000000.6 64 4 1000000000000.3 65 4 1000000000000.2 66 4 1000000000000.4 67 4 1000000000000.2 68 4 1000000000000.4 69 4 1000000000000.2 70 4 1000000000000.4 71 4 1000000000000.2 72 4 1000000000000.4 73 4 1000000000000.2 74 4 1000000000000.4 75 4 1000000000000.2 76 4 1000000000000.4 77 4 1000000000000.2 78 4 1000000000000.4 79 4 1000000000000.2 80 4 1000000000000.4 81 4 1000000000000.2 82 4 1000000000000.4 83 4 1000000000000.2 84 4 1000000000000.4 85 5 1000000000000.5 86 5 1000000000000.4 87 5 1000000000000.6 88 5 1000000000000.4 89 5 1000000000000.6 90 5 1000000000000.4 91 5 1000000000000.6 92 5 1000000000000.4 93 5 1000000000000.6 94 5 1000000000000.4 95 5 1000000000000.6 96 5 1000000000000.4 97 5 1000000000000.6 98 5 1000000000000.4 99 5 1000000000000.6 100 5 1000000000000.4 101 5 1000000000000.6 102 5 1000000000000.4 103 5 1000000000000.6 104 5 1000000000000.4 105 5 1000000000000.6 106 6 1000000000000.3 107 6 1000000000000.2 108 6 1000000000000.4 109 6 1000000000000.2 110 6 1000000000000.4 111 6 1000000000000.2 112 6 1000000000000.4 113 6 1000000000000.2 114 6 1000000000000.4 115 6 1000000000000.2 116 6 1000000000000.4 117 6 1000000000000.2 118 6 1000000000000.4 119 6 1000000000000.2 120 6 1000000000000.4 121 6 1000000000000.2 122 6 1000000000000.4 123 6 1000000000000.2 124 6 1000000000000.4 125 6 1000000000000.2 126 6 1000000000000.4 127 7 1000000000000.5 128 7 1000000000000.4 129 7 1000000000000.6 130 7 1000000000000.4 131 7 1000000000000.6 132 7 1000000000000.4 133 7 1000000000000.6 134 7 1000000000000.4 135 7 1000000000000.6 136 7 1000000000000.4 137 7 1000000000000.6 138 7 1000000000000.4 139 7 1000000000000.6 140 7 1000000000000.4 141 7 1000000000000.6 142 7 1000000000000.4 143 7 1000000000000.6 144 7 1000000000000.4 145 7 1000000000000.6 146 7 1000000000000.4 147 7 1000000000000.6 148 8 1000000000000.3 149 8 1000000000000.2 150 8 1000000000000.4 151 8 1000000000000.2 152 8 1000000000000.4 153 8 1000000000000.2 154 8 1000000000000.4 155 8 1000000000000.2 156 8 1000000000000.4 157 8 1000000000000.2 158 8 1000000000000.4 159 8 1000000000000.2 160 8 1000000000000.4 161 8 1000000000000.2 162 8 1000000000000.4 163 8 1000000000000.2 164 8 1000000000000.4 165 8 1000000000000.2 166 8 1000000000000.4 167 8 1000000000000.2 168 8 1000000000000.4 169 9 1000000000000.5 170 9 1000000000000.4 171 9 1000000000000.6 172 9 1000000000000.4 173 9 1000000000000.6 174 9 1000000000000.4 175 9 1000000000000.6 176 9 1000000000000.4 177 9 1000000000000.6 178 9 1000000000000.4 179 9 1000000000000.6 180 9 1000000000000.4 181 9 1000000000000.6 182 9 1000000000000.4 183 9 1000000000000.6 184 9 1000000000000.4 185 9 1000000000000.6 186 9 1000000000000.4 187 9 1000000000000.6 188 9 1000000000000.4 189 9 1000000000000.6 ;;;; run macro mkdum set loc d%2 aff if (%1 == %2) then d%2=1 else d%2=0 ;;;; mkdum Treatment { 1 2 3 4 5 6 7 8 9 } set ple 1 tab Treatment kru Response Treatment reg Response = d2 d3 d4 d5 d6 d7 d8 d9