Simulation-based Boundary Crossing Probability, version 1.1 (c) Bahjat Qaqish, 2003 The distribution of all possible outcomes (events/subjects): Events Subjects Boundary Probability 4 4 upper 0.008009 5 6 upper 0.006707 6 8 upper 0.005105 7 10 upper 0.003577 8 12 upper 0.002602 9 14 upper 0.001987 10 16 upper 0.001464 10 17 upper 0.003457 11 19 upper 0.001833 12 21 upper 0.001214 13 23 upper 0.000873 13 24 upper 0.002126 14 26 upper 0.001137 15 28 upper 0.000784 15 29 upper 0.001837 16 31 upper 0.001053 16 32 upper 0.002131 17 34 upper 0.001058 18 36 upper 0.000677 18 37 upper 0.00169 19 39 upper 0.00079 1 40 right 1.2e-005 2 40 right 7.6e-005 3 40 right 0.000471 4 40 right 0.001974 5 40 right 0.00608 6 40 right 0.015245 7 40 right 0.031858 8 40 right 0.055877 9 40 right 0.084377 10 40 right 0.11188 11 40 right 0.130576 12 40 right 0.134791 13 40 right 0.12324 14 40 right 0.099742 15 40 right 0.071948 16 40 right 0.04566 17 40 right 0.024554 18 40 right 0.009685 19 40 right 0.001843 P(event) = 0.3 Maximum sample size = 40 P(Hitting the lower boundary) = 0 P(Hitting the upper boundary) = 0.050111 P(Hitting the right boundary) = 0.949889 E[#events/#subjects] = 0.314168 S[#events/#subjects] = 0.116368 E[#events] = 11.6331 S[#events] = 2.88004 E[#subjects] = 38.7764 S[#subjects] = 5.83315 E[] denotes the mean, S[] denotes the standard deviation Program: cp3s CPU time: 8.939 seconds Real time: 9 seconds Date and time: Wed Jun 01 18:45:15 2005