LEM: log-linear and event history analysis with missing data. Developed by Jeroen K. Vermunt (c), Tilburg University, The Netherlands. Version 1.2 (July 10, 1998). *** INPUT *** *data generated from rasch theta exp1 * Rasch MMLE man 8 lat 1 dim 20 2 2 2 2 2 2 2 2 lab X A B C D E F G H mod X {wei(X)} A|X {A} B|X {B} C|X {C} D|X {D} E|X {E} F|X {F} G|X {G} H|X {H} all {spe(XA,XB,XC,XD,XE,XF,XG,XH,1b)} sta wei(X) nor(1,8) nco data gen8rasch_normal.dat *** STATISTICS *** Number of iterations = 46 Converge criterion = 0.0000009509 Seed random values = 4431 X-squared = 0.0026 (1.0000) L-squared = 0.0026 (1.0000) Cressie-Read = 0.0026 (1.0000) Dissimilarity index = 0.0000 Degrees of freedom = 246 Log-likelihood = -4833049.68664 Number of parameters = 9 (+1) Sample size = 1000000.0 BIC(L-squared) = -3398.6130 AIC(L-squared) = -491.9974 BIC(log-likelihood) = 9666223.7129 AIC(log-likelihood) = 9666117.3733 Eigenvalues information matrix 3.15E+0006 8.09E+0005 8.04E+0005 7.90E+0005 7.70E+0005 7.26E+0005 6.65E+0005 5.19E+0005 2.92E+0005 *** FREQUENCIES *** A B C D E F G H observed estimated std. res. 1 1 1 1 1 1 1 1 21749.169 21744.645 0.031 1 1 1 1 1 1 1 2 2410.574 2410.792 -0.004 1 1 1 1 1 1 2 1 2944.282 2944.548 -0.005 1 1 1 1 1 1 2 2 505.163 505.181 -0.001 1 1 1 1 1 2 1 1 8003.388 8004.133 -0.008 1 1 1 1 1 2 1 2 1373.175 1373.227 -0.001 1 1 1 1 1 2 2 1 1677.200 1677.263 -0.002 1 1 1 1 1 2 2 2 432.877 432.874 0.000 1 1 1 1 2 1 1 1 27934.570 27936.927 -0.014 1 1 1 1 2 1 1 2 4792.851 4792.990 -0.002 1 1 1 1 2 1 2 1 5854.002 5854.172 -0.002 1 1 1 1 2 1 2 2 1510.888 1510.865 0.001 1 1 1 1 2 2 1 1 15912.826 15913.331 -0.004 1 1 1 1 2 2 1 2 4107.020 4106.968 0.001 1 1 1 1 2 2 2 1 5016.326 5016.262 0.001 1 1 1 1 2 2 2 2 1915.844 1915.785 0.001 1 1 1 2 1 1 1 1 13871.897 13873.179 -0.011 1 1 1 2 1 1 1 2 2380.059 2380.148 -0.002 1 1 1 2 1 1 2 1 2907.011 2907.119 -0.002 1 1 1 2 1 1 2 2 750.285 750.279 0.000 1 1 1 2 1 2 1 1 7902.076 7902.390 -0.004 1 1 1 2 1 2 1 2 2039.486 2039.476 0.000 1 1 1 2 1 2 2 1 2491.034 2491.022 0.000 1 1 1 2 1 2 2 2 951.380 951.358 0.001 1 1 1 2 2 1 1 1 27580.954 27581.813 -0.005 1 1 1 2 2 1 1 2 7118.506 7118.410 0.001 1 1 1 2 2 1 2 1 8694.562 8694.447 0.001 1 1 1 2 2 1 2 2 3320.642 3320.537 0.002 1 1 1 2 2 2 1 1 23634.270 23634.018 0.002 1 1 1 2 2 2 1 2 9026.441 9026.180 0.003 1 1 1 2 2 2 2 1 11024.920 11024.602 0.003 1 1 1 2 2 2 2 2 6195.940 6195.806 0.002 1 1 2 1 1 1 1 1 6888.580 6889.219 -0.008 1 1 2 1 1 1 1 2 1181.903 1181.947 -0.001 1 1 2 1 1 1 2 1 1443.579 1443.633 -0.001 1 1 2 1 1 1 2 2 372.580 372.578 0.000 1 1 2 1 1 2 1 1 3924.055 3924.212 -0.003 1 1 2 1 1 2 1 2 1012.779 1012.774 0.000 1 1 2 1 1 2 2 1 1237.011 1237.005 0.000 1 1 2 1 1 2 2 2 472.441 472.431 0.000 1 1 2 1 2 1 1 1 13696.297 13696.727 -0.004 1 1 2 1 2 1 1 2 3534.945 3534.899 0.001 1 1 2 1 2 1 2 1 4317.592 4317.536 0.001 1 1 2 1 2 1 2 2 1648.982 1648.931 0.001 1 1 2 1 2 2 1 1 11736.431 11736.309 0.001 1 1 2 1 2 2 1 2 4482.398 4482.270 0.002 1 1 2 1 2 2 2 1 5474.813 5474.657 0.002 1 1 2 1 2 2 2 2 3076.813 3076.747 0.001 1 1 2 2 1 1 1 1 6801.380 6801.648 -0.003 1 1 2 2 1 1 1 2 1755.402 1755.393 0.000 1 1 2 2 1 1 2 1 2144.053 2144.042 0.000 1 1 2 2 1 1 2 2 818.860 818.841 0.001 1 1 2 2 1 2 1 1 5828.139 5828.126 0.000 1 1 2 2 1 2 1 2 2225.893 2225.847 0.001 1 1 2 2 1 2 2 1 2718.712 2718.656 0.001 1 1 2 2 1 2 2 2 1527.900 1527.880 0.001 1 1 2 2 2 1 1 1 20342.205 20341.981 0.002 1 1 2 2 2 1 1 2 7769.130 7768.903 0.003 1 1 2 2 2 1 2 1 9489.236 9488.960 0.003 1 1 2 2 2 1 2 2 5332.895 5332.778 0.002 1 1 2 2 2 2 1 1 25794.419 25793.735 0.004 1 1 2 2 2 2 1 2 14496.311 14496.031 0.002 1 1 2 2 2 2 2 1 17705.834 17705.494 0.003 1 1 2 2 2 2 2 2 14715.671 14715.884 -0.002 1 2 1 1 1 1 1 1 3420.768 3421.078 -0.005 1 2 1 1 1 1 1 2 586.915 586.936 -0.001 1 2 1 1 1 1 2 1 716.860 716.886 -0.001 1 2 1 1 1 1 2 2 185.018 185.016 0.000 1 2 1 1 1 2 1 1 1948.628 1948.702 -0.002 1 2 1 1 1 2 1 2 502.931 502.928 0.000 1 2 1 1 1 2 2 1 614.281 614.277 0.000 1 2 1 1 1 2 2 2 234.607 234.602 0.000 1 2 1 1 2 1 1 1 6801.380 6801.580 -0.002 1 2 1 1 2 1 1 2 1755.402 1755.375 0.001 1 2 1 1 2 1 2 1 2144.053 2144.020 0.001 1 2 1 1 2 1 2 2 818.860 818.833 0.001 1 2 1 1 2 2 1 1 5828.139 5828.067 0.001 1 2 1 1 2 2 1 2 2225.893 2225.825 0.001 1 2 1 1 2 2 2 1 2718.712 2718.629 0.002 1 2 1 1 2 2 2 2 1527.900 1527.864 0.001 1 2 1 2 1 1 1 1 3377.465 3377.592 -0.002 1 2 1 2 1 1 1 2 871.707 871.701 0.000 1 2 1 2 1 1 2 1 1064.705 1064.698 0.000 1 2 1 2 1 1 2 2 406.634 406.624 0.001 1 2 1 2 1 2 1 1 2894.168 2894.156 0.000 1 2 1 2 1 2 1 2 1105.346 1105.321 0.001 1 2 1 2 1 2 2 1 1350.072 1350.042 0.001 1 2 1 2 1 2 2 2 758.733 758.721 0.000 1 2 1 2 2 1 1 1 10101.640 10101.509 0.001 1 2 1 2 2 1 1 2 3858.036 3857.915 0.002 1 2 1 2 2 1 2 1 4712.215 4712.069 0.002 1 2 1 2 2 1 2 2 2648.237 2648.174 0.001 1 2 1 2 2 2 1 1 12809.129 12808.764 0.003 1 2 1 2 2 2 1 2 7198.655 7198.502 0.002 1 2 1 2 2 2 2 1 8792.457 8792.271 0.002 1 2 1 2 2 2 2 2 7307.586 7307.677 -0.001 1 2 2 1 1 1 1 1 1677.200 1677.263 -0.002 1 2 2 1 1 1 1 2 432.877 432.874 0.000 1 2 2 1 1 1 2 1 528.717 528.713 0.000 1 2 2 1 1 1 2 2 201.928 201.923 0.000 1 2 2 1 1 2 1 1 1437.201 1437.196 0.000 1 2 2 1 1 2 1 2 548.898 548.886 0.001 1 2 2 1 1 2 2 1 670.426 670.411 0.001 1 2 2 1 1 2 2 2 376.775 376.770 0.000 1 2 2 1 2 1 1 1 5016.326 5016.262 0.001 1 2 2 1 2 1 1 2 1915.844 1915.785 0.001 1 2 2 1 2 1 2 1 2340.017 2339.945 0.001 1 2 2 1 2 1 2 2 1315.076 1315.045 0.001 1 2 2 1 2 2 1 1 6360.825 6360.646 0.002 1 2 2 1 2 2 1 2 3574.746 3574.671 0.001 1 2 2 1 2 2 2 1 4366.205 4366.114 0.001 1 2 2 1 2 2 2 2 3628.840 3628.886 -0.001 1 2 2 2 1 1 1 1 2491.034 2491.022 0.000 1 2 2 2 1 1 1 2 951.380 951.358 0.001 1 2 2 2 1 1 2 1 1162.018 1161.992 0.001 1 2 2 2 1 1 2 2 653.047 653.037 0.000 1 2 2 2 1 2 1 1 3158.692 3158.629 0.001 1 2 2 2 1 2 1 2 1775.166 1775.143 0.001 1 2 2 2 1 2 2 1 2168.193 2168.165 0.001 1 2 2 2 1 2 2 2 1802.028 1802.066 -0.001 1 2 2 2 2 1 1 1 11024.920 11024.602 0.003 1 2 2 2 2 1 1 2 6195.940 6195.806 0.002 1 2 2 2 2 1 2 1 7567.738 7567.575 0.002 1 2 2 2 2 1 2 2 6289.697 6289.774 -0.001 1 2 2 2 2 2 1 1 20571.244 20570.855 0.003 1 2 2 2 2 2 1 2 17097.170 17097.423 -0.002 1 2 2 2 2 2 2 1 20882.531 20882.841 -0.002 1 2 2 2 2 2 2 2 26098.664 26100.445 -0.011 2 1 1 1 1 1 1 1 1698.703 1698.858 -0.004 2 1 1 1 1 1 1 2 291.454 291.464 -0.001 2 1 1 1 1 1 2 1 355.982 355.995 -0.001 2 1 1 1 1 1 2 2 91.877 91.876 0.000 2 1 1 1 1 2 1 1 967.660 967.697 -0.001 2 1 1 1 1 2 1 2 249.748 249.747 0.000 2 1 1 1 1 2 2 1 305.043 305.041 0.000 2 1 1 1 1 2 2 2 116.503 116.500 0.000 2 1 1 1 2 1 1 1 3377.465 3377.566 -0.002 2 1 1 1 2 1 1 2 871.707 871.694 0.000 2 1 1 1 2 1 2 1 1064.705 1064.690 0.000 2 1 1 1 2 1 2 2 406.634 406.621 0.001 2 1 1 1 2 2 1 1 2894.168 2894.134 0.001 2 1 1 1 2 2 1 2 1105.346 1105.312 0.001 2 1 1 1 2 2 2 1 1350.072 1350.032 0.001 2 1 1 1 2 2 2 2 758.733 758.715 0.001 2 1 1 2 1 1 1 1 1677.200 1677.263 -0.002 2 1 1 2 1 1 1 2 432.877 432.874 0.000 2 1 1 2 1 1 2 1 528.717 528.713 0.000 2 1 1 2 1 1 2 2 201.928 201.923 0.000 2 1 1 2 1 2 1 1 1437.201 1437.196 0.000 2 1 1 2 1 2 1 2 548.898 548.886 0.001 2 1 1 2 1 2 2 1 670.426 670.411 0.001 2 1 1 2 1 2 2 2 376.775 376.770 0.000 2 1 1 2 2 1 1 1 5016.326 5016.263 0.001 2 1 1 2 2 1 1 2 1915.844 1915.785 0.001 2 1 1 2 2 1 2 1 2340.017 2339.945 0.001 2 1 1 2 2 1 2 2 1315.076 1315.045 0.001 2 1 1 2 2 2 1 1 6360.825 6360.647 0.002 2 1 1 2 2 2 1 2 3574.746 3574.672 0.001 2 1 1 2 2 2 2 1 4366.205 4366.114 0.001 2 1 1 2 2 2 2 2 3628.840 3628.887 -0.001 2 1 2 1 1 1 1 1 832.873 832.905 -0.001 2 1 2 1 1 1 1 2 214.960 214.959 0.000 2 1 2 1 1 1 2 1 262.553 262.551 0.000 2 1 2 1 1 1 2 2 100.275 100.272 0.000 2 1 2 1 1 2 1 1 713.693 713.691 0.000 2 1 2 1 1 2 1 2 272.575 272.569 0.000 2 1 2 1 1 2 2 1 332.924 332.917 0.000 2 1 2 1 1 2 2 2 187.101 187.098 0.000 2 1 2 1 2 1 1 1 2491.034 2491.003 0.001 2 1 2 1 2 1 1 2 951.380 951.351 0.001 2 1 2 1 2 1 2 1 1162.018 1161.983 0.001 2 1 2 1 2 1 2 2 653.047 653.032 0.001 2 1 2 1 2 2 1 1 3158.692 3158.605 0.002 2 1 2 1 2 2 1 2 1775.166 1775.130 0.001 2 1 2 1 2 2 2 1 2168.193 2168.149 0.001 2 1 2 1 2 2 2 2 1802.028 1802.052 -0.001 2 1 2 2 1 1 1 1 1237.011 1237.006 0.000 2 1 2 2 1 1 1 2 472.441 472.431 0.000 2 1 2 2 1 1 2 1 577.041 577.028 0.001 2 1 2 2 1 1 2 2 324.294 324.289 0.000 2 1 2 2 1 2 1 1 1568.560 1568.529 0.001 2 1 2 2 1 2 1 2 881.522 881.511 0.000 2 1 2 2 1 2 2 1 1076.693 1076.680 0.000 2 1 2 2 1 2 2 2 894.861 894.880 -0.001 2 1 2 2 2 1 1 1 5474.813 5474.658 0.002 2 1 2 2 2 1 1 2 3076.813 3076.748 0.001 2 1 2 2 2 1 2 1 3758.027 3757.948 0.001 2 1 2 2 2 1 2 2 3123.371 3123.411 -0.001 2 1 2 2 2 2 1 1 10215.377 10215.189 0.002 2 1 2 2 2 2 1 2 8490.203 8490.333 -0.001 2 1 2 2 2 2 2 1 10369.958 10370.117 -0.002 2 1 2 2 2 2 2 2 12960.213 12961.104 -0.008 2 2 1 1 1 1 1 1 413.592 413.607 -0.001 2 2 1 1 1 1 1 2 106.746 106.745 0.000 2 2 1 1 1 1 2 1 130.380 130.379 0.000 2 2 1 1 1 1 2 2 49.795 49.794 0.000 2 2 1 1 1 2 1 1 354.410 354.408 0.000 2 2 1 1 1 2 1 2 135.357 135.353 0.000 2 2 1 1 1 2 2 1 165.325 165.321 0.000 2 2 1 1 1 2 2 2 92.912 92.910 0.000 2 2 1 1 2 1 1 1 1237.011 1236.993 0.001 2 2 1 1 2 1 1 2 472.441 472.426 0.001 2 2 1 1 2 1 2 1 577.041 577.022 0.001 2 2 1 1 2 1 2 2 324.294 324.286 0.000 2 2 1 1 2 2 1 1 1568.560 1568.514 0.001 2 2 1 1 2 2 1 2 881.522 881.502 0.001 2 2 1 1 2 2 2 1 1076.693 1076.669 0.001 2 2 1 1 2 2 2 2 894.861 894.871 -0.000 2 2 1 2 1 1 1 1 614.281 614.278 0.000 2 2 1 2 1 1 1 2 234.607 234.602 0.000 2 2 1 2 1 1 2 1 286.550 286.543 0.000 2 2 1 2 1 1 2 2 161.039 161.037 0.000 2 2 1 2 1 2 1 1 778.924 778.907 0.001 2 2 1 2 1 2 1 2 437.751 437.744 0.000 2 2 1 2 1 2 2 1 534.670 534.662 0.000 2 2 1 2 1 2 2 2 444.375 444.383 -0.000 2 2 1 2 2 1 1 1 2718.712 2718.629 0.002 2 2 1 2 2 1 1 2 1527.900 1527.865 0.001 2 2 1 2 2 1 2 1 1866.181 1866.138 0.001 2 2 1 2 2 1 2 2 1551.020 1551.037 -0.000 2 2 1 2 2 2 1 1 5072.806 5072.703 0.001 2 2 1 2 2 2 1 2 4216.110 4216.166 -0.001 2 2 1 2 2 2 2 1 5149.569 5149.637 -0.001 2 2 1 2 2 2 2 2 6435.851 6436.281 -0.005 2 2 2 1 1 1 1 1 305.043 305.041 0.000 2 2 2 1 1 1 1 2 116.503 116.500 0.000 2 2 2 1 1 1 2 1 142.297 142.293 0.000 2 2 2 1 1 1 2 2 79.970 79.968 0.000 2 2 2 1 1 2 1 1 386.802 386.794 0.000 2 2 2 1 1 2 1 2 217.381 217.377 0.000 2 2 2 1 1 2 2 1 265.509 265.505 0.000 2 2 2 1 1 2 2 2 220.670 220.674 -0.000 2 2 2 1 2 1 1 1 1350.072 1350.032 0.001 2 2 2 1 2 1 1 2 758.733 758.715 0.001 2 2 2 1 2 1 2 1 926.718 926.697 0.001 2 2 2 1 2 1 2 2 770.214 770.222 -0.000 2 2 2 1 2 2 1 1 2519.081 2519.030 0.001 2 2 2 1 2 2 1 2 2093.658 2093.687 -0.001 2 2 2 1 2 2 2 1 2557.200 2557.235 -0.001 2 2 2 1 2 2 2 2 3195.949 3196.163 -0.004 2 2 2 2 1 1 1 1 670.426 670.411 0.001 2 2 2 2 1 1 1 2 376.775 376.770 0.000 2 2 2 2 1 1 2 1 460.195 460.188 0.000 2 2 2 2 1 1 2 2 382.477 382.484 -0.000 2 2 2 2 1 2 1 1 1250.939 1250.924 0.000 2 2 2 2 1 2 1 2 1039.680 1039.702 -0.001 2 2 2 2 1 2 2 1 1269.868 1269.896 -0.001 2 2 2 2 1 2 2 2 1587.061 1587.180 -0.003 2 2 2 2 2 1 1 1 4366.205 4366.114 0.001 2 2 2 2 2 1 1 2 3628.840 3628.887 -0.001 2 2 2 2 2 1 2 1 4432.275 4432.333 -0.001 2 2 2 2 2 1 2 2 5539.389 5539.756 -0.005 2 2 2 2 2 2 1 1 12048.172 12048.360 -0.002 2 2 2 2 2 2 1 2 15057.619 15058.658 -0.008 2 2 2 2 2 2 2 1 18391.417 18392.688 -0.009 2 2 2 2 2 2 2 2 35638.817 35635.543 0.017 *** PSEUDO R-SQUARED MEASURES *** * P(A|X) * baseline fitted R-squared entropy 0.6061 0.5258 0.1324 qualitative variance 0.2077 0.1753 0.1563 classification error 0.2944 0.2610 0.1137 -2/N*log-likelihood 1.2121 1.0516 0.1324/0.1383 likelihood^(-2/N) 3.3607 2.8622 0.1483/0.2111 * P(B|X) * baseline fitted R-squared entropy 0.6828 0.5907 0.1349 qualitative variance 0.2448 0.2028 0.1715 classification error 0.4281 0.3160 0.2619 -2/N*log-likelihood 1.3656 1.1814 0.1349/0.1555 likelihood^(-2/N) 3.9179 3.2588 0.1682/0.2259 * P(C|X) * baseline fitted R-squared entropy 0.6828 0.5907 0.1349 qualitative variance 0.2448 0.2028 0.1715 classification error 0.4281 0.3160 0.2619 -2/N*log-likelihood 1.3656 1.1814 0.1349/0.1555 likelihood^(-2/N) 3.9179 3.2588 0.1682/0.2259 * P(D|X) * baseline fitted R-squared entropy 0.6061 0.5258 0.1324 qualitative variance 0.2077 0.1753 0.1563 classification error 0.2944 0.2610 0.1137 -2/N*log-likelihood 1.2121 1.0516 0.1324/0.1383 likelihood^(-2/N) 3.3607 2.8622 0.1483/0.2111 * P(E|X) * baseline fitted R-squared entropy 0.4810 0.4196 0.1276 qualitative variance 0.1517 0.1320 0.1295 classification error 0.1864 0.1785 0.0426 -2/N*log-likelihood 0.9620 0.8392 0.1276/0.1093 likelihood^(-2/N) 2.6169 2.3146 0.1155/0.1870 * P(F|X) * baseline fitted R-squared entropy 0.6722 0.5817 0.1346 qualitative variance 0.2396 0.1990 0.1695 classification error 0.3980 0.3077 0.2269 -2/N*log-likelihood 1.3444 1.1635 0.1346/0.1532 likelihood^(-2/N) 3.8357 3.2010 0.1655/0.2238 * P(G|X) * baseline fitted R-squared entropy 0.6722 0.5817 0.1346 qualitative variance 0.2396 0.1990 0.1695 classification error 0.3980 0.3077 0.2269 -2/N*log-likelihood 1.3444 1.1635 0.1346/0.1532 likelihood^(-2/N) 3.8357 3.2010 0.1655/0.2238 * P(H|X) * baseline fitted R-squared entropy 0.6528 0.5653 0.1340 qualitative variance 0.2301 0.1920 0.1657 classification error 0.3588 0.2941 0.1803 -2/N*log-likelihood 1.3055 1.1306 0.1340/0.1489 likelihood^(-2/N) 3.6895 3.0975 0.1605/0.2201 *** LOG-LINEAR PARAMETERS *** * TABLE XA [or P(A|X)] * effect beta std err z-value exp(beta) Wald df prob A 1 0.5250 0.0013 401.142 1.6905 2 -0.5250 0.5916 160915.09 1 0.000 * TABLE XB [or P(B|X)] * effect beta std err z-value exp(beta) Wald df prob B 1 0.1750 0.0012 143.376 1.1912 2 -0.1750 0.8395 20556.75 1 0.000 * TABLE XC [or P(C|X)] * effect beta std err z-value exp(beta) Wald df prob C 1 -0.1750 0.0012 -143.371 0.8395 2 0.1750 1.1912 20555.11 1 0.000 * TABLE XD [or P(D|X)] * effect beta std err z-value exp(beta) Wald df prob D 1 -0.5250 0.0013 -401.134 0.5916 2 0.5250 1.6905 160908.66 1 0.000 * TABLE XE [or P(E|X)] * effect beta std err z-value exp(beta) Wald df prob E 1 -0.8750 0.0015 -585.470 0.4169 2 0.8750 2.3989 342775.51 1 0.000 * TABLE XF [or P(F|X)] * effect beta std err z-value exp(beta) Wald df prob F 1 -0.2500 0.0012 -202.933 0.7788 2 0.2500 1.2840 41181.87 1 0.000 * TABLE XG [or P(G|X)] * effect beta std err z-value exp(beta) Wald df prob G 1 0.2500 0.0012 202.943 1.2840 2 -0.2500 0.7788 41185.91 1 0.000 * TABLE XH [or P(H|X)] * effect beta std err z-value exp(beta) Wald df prob H 1 0.3500 0.0013 279.265 1.4191 2 -0.3500 0.7047 77988.70 1 0.000 * ALL TABLES * effect beta std err z-value exp(beta) Wald df prob spe(XA,.,XH,1b) 1 0.4211 0.0006 707.671 1.5236 500798.94 1 0.000 *** LATENT CLASS OUTPUT *** X 1 X 2 X 3 X 4 X 5 X 6 X 7 X 8 0.0001 0.0003 0.0011 0.0040 0.0115 0.0279 0.0567 0.0965 A 1 0.9936 0.9903 0.9853 0.9778 0.9666 0.9500 0.9258 0.8912 A 2 0.0064 0.0097 0.0147 0.0222 0.0334 0.0500 0.0742 0.1088 B 1 0.9873 0.9807 0.9709 0.9564 0.9350 0.9042 0.8610 0.8026 B 2 0.0127 0.0193 0.0291 0.0436 0.0650 0.0958 0.1390 0.1974 C 1 0.9747 0.9619 0.9431 0.9158 0.8772 0.8242 0.7547 0.6688 C 2 0.0253 0.0381 0.0569 0.0842 0.1228 0.1758 0.2453 0.3312 D 1 0.9503 0.9262 0.8917 0.8438 0.7801 0.6995 0.6044 0.5007 D 2 0.0497 0.0738 0.1083 0.1562 0.2199 0.3005 0.3956 0.4993 E 1 0.9047 0.8617 0.8035 0.7285 0.6378 0.5362 0.4314 0.3324 E 2 0.0953 0.1383 0.1965 0.2715 0.3622 0.4638 0.5686 0.6676 F 1 0.9707 0.9560 0.9345 0.9035 0.8601 0.8014 0.7259 0.6348 F 2 0.0293 0.0440 0.0655 0.0965 0.1399 0.1986 0.2741 0.3652 G 1 0.9890 0.9834 0.9749 0.9622 0.9435 0.9164 0.8780 0.8253 G 2 0.0110 0.0166 0.0251 0.0378 0.0565 0.0836 0.1220 0.1747 H 1 0.9910 0.9863 0.9793 0.9688 0.9533 0.9305 0.8979 0.8523 H 2 0.0090 0.0137 0.0207 0.0312 0.0467 0.0695 0.1021 0.1477 X 9 X 10 X 11 X 12 X 13 X 14 X 15 X 16 0.1376 0.1643 0.1643 0.1376 0.0965 0.0567 0.0279 0.0115 A 1 0.8431 0.7791 0.6984 0.6031 0.4993 0.3956 0.3005 0.2199 A 2 0.1569 0.2209 0.3016 0.3969 0.5007 0.6044 0.6995 0.7801 B 1 0.7274 0.6366 0.5348 0.4301 0.3312 0.2453 0.1758 0.1228 B 2 0.2726 0.3634 0.4652 0.5699 0.6688 0.7547 0.8242 0.8772 C 1 0.5699 0.4652 0.3634 0.2726 0.1974 0.1390 0.0958 0.0650 C 2 0.4301 0.5348 0.6366 0.7274 0.8026 0.8610 0.9042 0.9350 D 1 0.3969 0.3016 0.2209 0.1569 0.1088 0.0742 0.0500 0.0334 D 2 0.6031 0.6984 0.7791 0.8431 0.8912 0.9258 0.9500 0.9666 E 1 0.2463 0.1766 0.1234 0.0846 0.0572 0.0383 0.0255 0.0169 E 2 0.7537 0.8234 0.8766 0.9154 0.9428 0.9617 0.9745 0.9831 F 1 0.5329 0.4281 0.3295 0.2439 0.1747 0.1220 0.0836 0.0565 F 2 0.4671 0.5719 0.6705 0.7561 0.8253 0.8780 0.9164 0.9435 G 1 0.7561 0.6705 0.5719 0.4671 0.3652 0.2741 0.1986 0.1399 G 2 0.2439 0.3295 0.4281 0.5329 0.6348 0.7259 0.8014 0.8601 H 1 0.7911 0.7131 0.6200 0.5171 0.4127 0.3157 0.2324 0.1658 H 2 0.2089 0.2869 0.3800 0.4829 0.5873 0.6843 0.7676 0.8342 X 17 X 18 X 19 X 20 0.0040 0.0011 0.0003 0.0001 A 1 0.1562 0.1083 0.0738 0.0497 A 2 0.8438 0.8917 0.9262 0.9503 B 1 0.0842 0.0569 0.0381 0.0253 B 2 0.9158 0.9431 0.9619 0.9747 C 1 0.0436 0.0291 0.0193 0.0127 C 2 0.9564 0.9709 0.9807 0.9873 D 1 0.0222 0.0147 0.0097 0.0064 D 2 0.9778 0.9853 0.9903 0.9936 E 1 0.0111 0.0073 0.0048 0.0032 E 2 0.9889 0.9927 0.9952 0.9968 F 1 0.0378 0.0251 0.0166 0.0110 F 2 0.9622 0.9749 0.9834 0.9890 G 1 0.0965 0.0655 0.0440 0.0293 G 2 0.9035 0.9345 0.9560 0.9707 H 1 0.1154 0.0788 0.0532 0.0356 H 2 0.8846 0.9212 0.9468 0.9644 E = 0.7404, lambda = 0.1141