--> RESET --> Read ; Nobs = 22 ; nvar = 4 ; Names = 1 ; Byvar $ --> SURVIVAL ; lhs = Time, Status ? Status = 0 for censored, 1 = exited ; list $ +------------------------------------------------+ | Estimated Survival Function | | Duration variable is TIME | | Status is given by variable STATUS | +------------------------------------------------+ Number of observations in stratum = 22 Number of observations exiting = 18 Number of observations censored = 4 Survival Enter Cnsrd At Risk Exited Survival Rate Hazard Rate .0- 3.2 22 0 22 4 1.0000 ( .000) .0625 ( .031) 3.2- 6.4 18 0 18 1 .8182 ( .082) .0179 ( .018) 6.4- 9.6 17 1 16 3 .7727 ( .089) .0625 ( .036) 9.6- 12.8 13 1 12 1 .6322 ( .104) .0260 ( .026) 12.8- 16.0 11 1 10 2 .5817 ( .107) .0658 ( .046) 16.0- 19.2 8 1 7 3 .4709 ( .112) .1563 ( .087) 19.2- 22.4 4 0 4 2 .2825 ( .108) .2083 ( .139) 22.4- 25.6 2 0 2 1 .1413 ( .089) .2083 ( .196) 25.6- 28.8 1 0 1 0 .0706 ( .067) .0000 ( .000) 28.8- 32.0 1 0 1 1 .0706 ( .067) .6250 ( .000) Individual Survival Data Observation Survival Status Srv.rate (S.E.) Exited Censored # at risk 18 1.000 Exited 1.0000 (.0000) 1 0 22 5 2.000 Exited .9545 (.0444) 2 0 21 11 2.000 Exited .9091 (.0613) 3 0 20 2 3.000 Exited .8636 (.0732) 4 0 19 10 5.000 Exited .8182 (.0822) 5 0 18 22 7.000 Exited .7727 (.0893) 6 0 17 7 8.000 Exited .7273 (.0950) 7 0 16 12 8.000 Exited .6818 (.0993) 8 0 15 19 9.000 Censored .6364 (.1026) 8 1 14 17 10.000 Censored .6364 (.1026) 8 2 13 1 11.000 Exited .6364 (.1026) 9 2 12 6 14.000 Exited .5833 (.1068) 10 2 11 13 14.000 Exited .5303 (.1095) 11 2 10 9 16.000 Censored .4773 (.1107) 11 3 9 14 18.000 Exited .4773 (.1107) 12 3 8 15 18.000 Exited .4176 (.1118) 13 3 7 21 19.000 Exited .3580 (.1106) 14 3 6 3 19.000 Censored .2983 (.1070) 14 4 5 8 21.000 Exited .2983 (.1070) 15 4 4 16 21.000 Exited .2237 (.1030) 16 4 3 20 23.000 Exited .1491 (.0918) 17 4 2 4 32.000 Exited .0746 (.0699) 18 4 1 Summary of Duration Data Observation Survival Hazard Srv.rate (S.E.) Exited Censored # at risk 1 1.000 .0455 1.0000 (.0000) 1 0 22 2 2.000 .0952 .9545 (.0444) 2 0 20 3 3.000 .0526 .8636 (.0732) 1 0 19 4 5.000 .0556 .8182 (.0822) 1 0 18 5 7.000 .0588 .7727 (.0893) 1 0 17 6 8.000 .1250 .7273 (.0950) 2 0 15 7 9.000 .0000 .6364 (.1026) 0 1 14 8 10.000 .0000 .6364 (.1026) 0 1 13 9 11.000 .0833 .6364 (.1026) 1 0 12 10 14.000 .1818 .5833 (.1068) 2 0 10 11 16.000 .0000 .4773 (.1107) 0 1 9 12 18.000 .2500 .4773 (.1107) 2 0 7 13 19.000 .1667 .3580 (.1106) 1 1 5 14 21.000 .5000 .2983 (.1070) 2 0 3 15 23.000 .5000 .1491 (.0918) 1 0 2 16 32.000 1.0000 .0746 (.0699) 1 0 1 --> SURVIVAL ; lhs = Time, Status ? Status = 0 for censored, 1 = exited ; plot$ +------------------------------------------------+ | Estimated Survival Function | | Duration variable is TIME | | Status is given by variable STATUS | +------------------------------------------------+ Number of observations in stratum = 22 Number of observations exiting = 18 Number of observations censored = 4 Survival Enter Cnsrd At Risk Exited Survival Rate Hazard Rate .0- 3.2 22 0 22 4 1.0000 ( .000) .0625 ( .031) 3.2- 6.4 18 0 18 1 .8182 ( .082) .0179 ( .018) 6.4- 9.6 17 1 16 3 .7727 ( .089) .0625 ( .036) 9.6- 12.8 13 1 12 1 .6322 ( .104) .0260 ( .026) 12.8- 16.0 11 1 10 2 .5817 ( .107) .0658 ( .046) 16.0- 19.2 8 1 7 3 .4709 ( .112) .1563 ( .087) 19.2- 22.4 4 0 4 2 .2825 ( .108) .2083 ( .139) 22.4- 25.6 2 0 2 1 .1413 ( .089) .2083 ( .196) 25.6- 28.8 1 0 1 0 .0706 ( .067) .0000 ( .000) 28.8- 32.0 1 0 1 1 .0706 ( .067) .6250 ( .000) --> SURVIVAL ; lhs = Time, Status ? Status = 0 for censored, 1 = exited ; str = Jobtype ? str = strata indicator; homogeneous test ; list $ +------------------------------------------------+ | Estimated Survival Function | | Duration variable is TIME | | Status is given by variable STATUS | | Stratification variable is JOBTYPE | | Number of strata is 2 | | Counts are: Stratum Count | | 1 13 | | 2 9 | +------------------------------------------------+ Estimation results for stratum JOBTYPE = 1 Number of observations in stratum = 13 Number of observations exiting = 12 Number of observations censored = 1 Survival Enter Cnsrd At Risk Exited Survival Rate Hazard Rate .0- 2.3 13 0 13 1 1.0000 ( .000) .0348 ( .035) 2.3- 4.6 12 0 12 1 .9231 ( .074) .0378 ( .038) 4.6- 6.9 11 0 11 0 .8462 ( .100) .0000 ( .000) 6.9- 9.2 11 1 10 3 .8462 ( .100) .1449 ( .083) 9.2- 11.5 7 0 7 1 .6044 ( .138) .0669 ( .067) 11.5- 13.8 6 0 6 0 .5181 ( .143) .0000 ( .000) 13.8- 16.1 6 0 6 2 .5181 ( .143) .1739 ( .120) 16.1- 18.4 4 0 4 1 .3454 ( .138) .1242 ( .123) 18.4- 20.7 3 0 3 0 .2590 ( .128) .0000 ( .000) 20.7- 23.0 3 0 3 3 .2590 ( .128) .8696 ( .000) Individual Survival Data Observation Survival Status Srv.rate (S.E.) Exited Censored # at risk 5 2.000 Exited 1.0000 (.0000) 1 0 13 2 3.000 Exited .9231 (.0739) 2 0 12 22 7.000 Exited .8462 (.1001) 3 0 11 7 8.000 Exited .7692 (.1169) 4 0 10 12 8.000 Exited .6923 (.1280) 5 0 9 19 9.000 Censored .6154 (.1349) 5 1 8 1 11.000 Exited .6154 (.1349) 6 1 7 6 14.000 Exited .5275 (.1414) 7 1 6 13 14.000 Exited .4396 (.1426) 8 1 5 14 18.000 Exited .3516 (.1385) 9 1 4 8 21.000 Exited .2637 (.1288) 10 1 3 16 21.000 Exited .1758 (.1119) 11 1 2 20 23.000 Exited .0879 (.0836) 12 1 1 Summary of Duration Data Observation Survival Hazard Srv.rate (S.E.) Exited Censored # at risk 1 3.000 .0909 1.0000 (.0000) 2 0 12 2 7.000 .0500 .8462 (.1001) 1 0 11 3 8.000 .1053 .7692 (.1169) 2 0 9 4 9.000 .0000 .6154 (.1349) 0 1 8 5 11.000 .0625 .6154 (.1349) 1 0 7 6 14.000 .1333 .5275 (.1414) 2 0 5 7 21.000 .2308 .3516 (.1385) 3 0 2 8 23.000 .1000 .0879 (.0836) 1 0 1 Estimation results for stratum JOBTYPE = 2 Number of observations in stratum = 9 Number of observations exiting = 6 Number of observations censored = 3 Survival Enter Cnsrd At Risk Exited Survival Rate Hazard Rate .0- 3.2 9 0 9 2 1.0000 ( .000) .0781 ( .055) 3.2- 6.4 7 0 7 1 .7778 ( .139) .0481 ( .048) 6.4- 9.6 6 0 6 0 .6667 ( .157) .0000 ( .000) 9.6- 12.8 6 1 5 0 .6667 ( .157) .0000 ( .000) 12.8- 16.0 5 1 4 0 .6667 ( .157) .0000 ( .000) 16.0- 19.2 4 1 3 2 .6667 ( .157) .2500 ( .162) 19.2- 22.4 1 0 1 0 .2857 ( .189) .0000 ( .000) 22.4- 25.6 1 0 1 0 .2857 ( .189) .0000 ( .000) 25.6- 28.8 1 0 1 0 .2857 ( .189) .0000 ( .000) 28.8- 32.0 1 0 1 1 .2857 ( .189) .6250 ( .000) Individual Survival Data Observation Survival Status Srv.rate (S.E.) Exited Censored # at risk 18 1.000 Exited 1.0000 (.0000) 1 0 9 11 2.000 Exited .8889 (.1048) 2 0 8 10 5.000 Exited .7778 (.1386) 3 0 7 17 10.000 Censored .6667 (.1571) 3 1 6 9 16.000 Censored .6667 (.1571) 3 2 5 15 18.000 Exited .6667 (.1571) 4 2 4 21 19.000 Exited .5000 (.1863) 5 2 3 3 19.000 Censored .3333 (.1843) 5 3 2 4 32.000 Exited .3333 (.1843) 6 3 1 Summary of Duration Data Observation Survival Hazard Srv.rate (S.E.) Exited Censored # at risk 1 1.000 .0455 1.0000 (.0000) 1 0 9 2 2.000 .0476 .8889 (.1048) 1 0 8 3 5.000 .0500 .7778 (.1386) 1 0 7 4 10.000 .0000 .6667 (.1571) 0 1 6 5 16.000 .0000 .6667 (.1571) 0 1 5 6 18.000 .0588 .6667 (.1571) 1 0 4 7 19.000 .0625 .5000 (.1863) 1 1 2 8 32.000 .0714 .3333 (.1843) 1 0 1 +----------------------------------------------------+ | Homogeneity tests: Degrees of freedom= 1 | | | | Log-Rank (LM) = .93355 , Prob. .33394 | | | | Gen. Wilcoxon = .15433 , Prob. .69443 | +----------------------------------------------------+ --> SURVIVAL ; lhs = Time, Status ? Status = 0 for censored, 1 = exited ; rhs = sex ? rhs = covariates for Cox Proportional Model ... ? ; plot ; list $ +---------------------------------------------------+ | Cox Proportional Hazard Model | | Duration variable is TIME | | Status is given by variable STATUS | | Total Number of Observations = 22 | | Total Number of Observations Exiting = 18 | | Total Number of Observations Censored = 4 | | Total Number of Distinct Exit Times = 13 | | Number of Observed Times Incl. Cnsrd. = 16 | +---------------------------------------------------+ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Cox Proportional Hazard Model | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:22AM.| | Dependent variable TIME | | Weighting variable None | | Number of observations 22 | | Iterations completed 4 | | Log likelihood function -39.79330 | | Restricted log likelihood -40.09036 | | Chi squared .5941321 | | Degrees of freedom 1 | | Prob[ChiSqd > value] = .4408257 | | Log-rank test with 1 degrees of freedom: | | Chi-squared = .609, Prob = .4353 | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ SEX -.3802944036 .49027653 -.776 .4379 .54545455 --> --> SURVIVAL ; lhs = Time, Status ? Status = 0 for censored, 1 = exited ; rhs = sex ; str = Jobtype ; list $ +----------------------------------------------------------------+ | Cox Proportional Hazard Model | | Duration variable is TIME | | Status is given by variable STATUS | | Total Number of Observations = 22 | | Total Number of Observations Exiting = 18 | | Total Number of Observations Censored = 4 | | Total Number of Distinct Exit Times = 13 | | Number of Observed Times Incl. Cnsrd. = 16 | | Stratification is based on JOBTYPE | | Stratum Lower Limit Upper Limit Observations Proportion | | 1 .0000 1.000 13. .5909 | | 2 1.000 2.000 9. .4091 | | (Range: greater than lower and less than or equal to upper.) | +----------------------------------------------------------------+ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Cox Proportional Hazard Model | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:22AM.| | Dependent variable TIME | | Weighting variable None | | Number of observations 22 | | Iterations completed 4 | | Log likelihood function -29.16864 | | Restricted log likelihood -29.87335 | | Chi squared 1.409419 | | Degrees of freedom 1 | | Prob[ChiSqd > value] = .2351529 | | Log-rank test with 1 degrees of freedom: | | Chi-squared = 1.436, Prob = .2308 | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ SEX -.6659818075 .56356063 -1.182 .2373 .54545455 --> Create ; logt = log(Time) $ --> SURVIVAL ; lhs = logt, Status ? Status = 0 for censored, 1 = exited ; rhs = one, sex ; Model = Weibull ? ; plot ; list $ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Loglinear survival model: WEIBULL | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:22AM.| | Dependent variable LOGT | | Weighting variable None | | Number of observations 22 | | Iterations completed 7 | | Log likelihood function -26.36734 | | Censoring status variable is STATUS | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ RHS of hazard model Constant 2.640817605 .22805650 11.580 .0000 SEX .2363517330 .38768722 .610 .5421 .54545455 Ancillary parameters for survival Sigma .6935985666 .14101397 4.919 .0000 +----------------------------------------------------------------+ | Parameters of underlying density at data means: | | Parameter Estimate Std. Error Confidence Interval | | ------------------------------------------------------------ | | Lambda .06268 .01288 .0374 to .0879 | | P 1.44176 .29312 .8672 to 2.0163 | | Median 12.37309 2.54193 7.3909 to 17.3553 | | Percentiles of survival distribution: | | Survival .25 .50 .75 .95 | | Time 20.01 12.37 6.72 2.03 | +----------------------------------------------------------------+ Predicted Values (* => observation was not in estimating sample.) Observation Obsrvd.Time exp(bx)=prdT Intg.Hazard Hazard Survival 1 11.000 14.025 .7045 .0923 .4943 2 3.0000 14.025 .1082 .0520 .8974 3 19.000 17.764 1.1018 .0836 .3323 4 32.000 14.025 3.2849 .1480 .0374 5 2.0000 17.764 .0429 .0309 .9580 6 14.000 14.025 .9975 .1027 .3688 7 8.0000 17.764 .3166 .0571 .7286 8 21.000 17.764 1.2729 .0874 .2800 9 16.000 17.764 .8600 .0775 .4231 10 5.0000 14.025 .2261 .0652 .7977 11 2.0000 14.025 .0603 .0435 .9415 12 8.0000 17.764 .3166 .0571 .7286 13 14.000 17.764 .7094 .0731 .4919 14 18.000 14.025 1.4330 .1148 .2386 15 18.000 17.764 1.0192 .0816 .3609 16 21.000 17.764 1.2729 .0874 .2800 17 10.000 14.025 .6141 .0885 .5411 18 1.0000 14.025 .0222 .0320 .9780 19 9.0000 17.764 .3752 .0601 .6872 20 23.000 17.764 1.4513 .0910 .2343 21 19.000 14.025 1.5492 .1176 .2124 22 7.0000 17.764 .2612 .0538 .7702 --> SURVIVAL ; lhs = logt, Status ? Status = 0 for censored, 1 = exited ; rhs = one, sex ; Model = Weibull ? ; plot ; list $ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Loglinear survival model: WEIBULL | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:23AM.| | Dependent variable LOGT | | Weighting variable None | | Number of observations 22 | | Iterations completed 7 | | Log likelihood function -26.36734 | | Censoring status variable is STATUS | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ RHS of hazard model Constant 2.640817605 .22805650 11.580 .0000 SEX .2363517330 .38768722 .610 .5421 .54545455 Ancillary parameters for survival Sigma .6935985666 .14101397 4.919 .0000 +----------------------------------------------------------------+ | Parameters of underlying density at data means: | | Parameter Estimate Std. Error Confidence Interval | | ------------------------------------------------------------ | | Lambda .06268 .01288 .0374 to .0879 | | P 1.44176 .29312 .8672 to 2.0163 | | Median 12.37309 2.54193 7.3909 to 17.3553 | | Percentiles of survival distribution: | | Survival .25 .50 .75 .95 | | Time 20.01 12.37 6.72 2.03 | +----------------------------------------------------------------+ Predicted Values (* => observation was not in estimating sample.) Observation Obsrvd.Time exp(bx)=prdT Intg.Hazard Hazard Survival 1 11.000 14.025 .7045 .0923 .4943 2 3.0000 14.025 .1082 .0520 .8974 3 19.000 17.764 1.1018 .0836 .3323 4 32.000 14.025 3.2849 .1480 .0374 5 2.0000 17.764 .0429 .0309 .9580 6 14.000 14.025 .9975 .1027 .3688 7 8.0000 17.764 .3166 .0571 .7286 8 21.000 17.764 1.2729 .0874 .2800 9 16.000 17.764 .8600 .0775 .4231 10 5.0000 14.025 .2261 .0652 .7977 11 2.0000 14.025 .0603 .0435 .9415 12 8.0000 17.764 .3166 .0571 .7286 13 14.000 17.764 .7094 .0731 .4919 14 18.000 14.025 1.4330 .1148 .2386 15 18.000 17.764 1.0192 .0816 .3609 16 21.000 17.764 1.2729 .0874 .2800 17 10.000 14.025 .6141 .0885 .5411 18 1.0000 14.025 .0222 .0320 .9780 19 9.0000 17.764 .3752 .0601 .6872 20 23.000 17.764 1.4513 .0910 .2343 21 19.000 14.025 1.5492 .1176 .2124 22 7.0000 17.764 .2612 .0538 .7702 --> SURVIVAL ; lhs = logt, Status ? Status = 0 for censored, 1 = exited ; rhs = one, sex ; Model = normal ? ; plot ; list $ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Loglinear survival model: NORMAL | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:23AM.| | Dependent variable LOGT | | Weighting variable None | | Number of observations 22 | | Iterations completed 6 | | Log likelihood function -27.93889 | | Censoring status variable is STATUS | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ RHS of hazard model Constant 2.074210308 .30499636 6.801 .0000 SEX .5803260212 .44274341 1.311 .1899 .54545455 Ancillary parameters for survival Sigma .9753523025 .21136422 4.615 .0000 +----------------------------------------------------------------+ | Parameters of underlying density at data means: | | Parameter Estimate Std. Error Confidence Interval | | ------------------------------------------------------------ | | Lambda .09156 .02476 .0430 to .1401 | | P 1.02527 .22218 .5898 to 1.4607 | | Median 10.92170 2.95401 5.1318 to 16.7116 | | Percentiles of survival distribution: | | Survival .25 .50 .75 .95 | | Time 21.09 10.92 5.66 2.20 | +----------------------------------------------------------------+ Predicted Values (* => observation was not in estimating sample.) Observation Obsrvd.Time exp(bx)=prdT Intg.Hazard Hazard Survival 1 11.000 7.9583 .9943 1.0205 .3700 2 3.0000 7.9583 .1727 .2875 .8414 3 19.000 14.218 .9593 .9962 .3831 4 32.000 7.9583 2.5661 1.8766 .0768 5 2.0000 14.218 .0224 .0540 .9778 6 14.000 7.9583 1.2685 1.1995 .2813 7 8.0000 14.218 .3253 .4642 .7223 8 21.000 14.218 1.0653 1.0686 .3446 9 16.000 14.218 .7944 .8765 .4518 10 5.0000 7.9583 .3810 .5213 .6831 11 2.0000 7.9583 .0816 .1589 .9216 12 8.0000 14.218 .3253 .4642 .7223 13 14.000 14.218 .6806 .7878 .5063 14 18.000 7.9583 1.6027 1.3960 .2014 15 18.000 14.218 .9052 .9579 .4045 16 21.000 14.218 1.0653 1.0686 .3446 17 10.000 7.9583 .8979 .9527 .4074 18 1.0000 7.9583 .0169 .0423 .9833 19 9.0000 14.218 .3850 .5253 .6804 20 23.000 14.218 1.1681 1.1360 .3110 21 19.000 7.9583 1.6813 1.4395 .1861 22 7.0000 14.218 .2663 .3999 .7662 --> --> SURVIVAL ; lhs = logt, Status ? Status = 0 for censored, 1 = exited ; rhs = one, sex ; Model = logistic ? ; plot ; list $ Normal exit from iterations. Exit status=0. +---------------------------------------------+ | Loglinear survival model: LOGISTIC | | Maximum Likelihood Estimates | | Model estimated: Nov 20, 2004 at 02:39:23AM.| | Dependent variable LOGT | | Weighting variable None | | Number of observations 22 | | Iterations completed 6 | | Log likelihood function -28.11683 | | Censoring status variable is STATUS | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ RHS of hazard model Constant 2.192640500 .29842892 7.347 .0000 SEX .5031720602 .42811607 1.175 .2399 .54545455 Ancillary parameters for survival Sigma .5588918145 .13757315 4.063 .0000 +----------------------------------------------------------------+ | Parameters of underlying density at data means: | | Parameter Estimate Std. Error Confidence Interval | | ------------------------------------------------------------ | | Lambda .08483 .02123 .0432 to .1264 | | P 1.78926 .44043 .9260 to 2.6525 | | Median 11.78819 2.94997 6.0062 to 17.5701 | | Percentiles of survival distribution: | | Survival .25 .50 .75 .95 | | Time 21.78 11.79 6.38 2.27 | +----------------------------------------------------------------+ Predicted Values (* => observation was not in estimating sample.) Observation Obsrvd.Time exp(bx)=prdT Intg.Hazard Hazard Survival 1 11.000 8.9588 .8935 .0961 .4092 2 3.0000 8.9588 .1321 .0738 .8763 3 19.000 14.818 .9401 .0574 .3906 4 32.000 8.9588 2.3755 .0507 .0930 5 2.0000 14.818 .0274 .0242 .9730 6 14.000 8.9588 1.1702 .0881 .3103 7 8.0000 14.818 .2866 .0557 .7508 8 21.000 14.818 1.0530 .0555 .3489 9 16.000 14.818 .7642 .0597 .4657 10 5.0000 8.9588 .3017 .0932 .7395 11 2.0000 8.9588 .0661 .0572 .9360 12 8.0000 14.818 .2866 .0557 .7508 13 14.000 14.818 .6437 .0607 .5254 14 18.000 8.9588 1.5007 .0772 .2230 15 18.000 14.818 .8823 .0583 .4138 16 21.000 14.818 1.0530 .0555 .3489 17 10.000 8.9588 .7963 .0982 .4510 18 1.0000 8.9588 .0196 .0347 .9806 19 9.0000 14.818 .3434 .0578 .7093 20 23.000 14.818 1.1619 .0535 .3129 21 19.000 8.9588 1.5767 .0747 .2067 22 7.0000 14.818 .2322 .0530 .7928 -->