============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 13 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .12346E-01 .98765E+00 .12346E-01 [ PP,QQ ] <====> 1.234568E-002 9.876543E-001 [ MTC ] <====> 320 [ QQ ^^ MTC ] <====> 1.877547E-002 [ PP x QQ ^^ MTC ] <====> 2.317959E-004 ============================================================================== There exist : 1 [ 1 ] " s and 399 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 81 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 1 ============================================================================== PROB % / III / NZ0 / OAG / = 1.23 % / 1 / 319 / 81 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 82 ) <====> Pr( EVENT E ) = .12346E-01 <====> 1.23 % [ IMAX, MTC-1, JNDX ] <====> [ 400,319, 81 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 81 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 319 where TTMAX(III) = NZ0 - OAG <=======> 319 - 81 = 238 Probablity( E ) = P = .12346E-01 = 1.23 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 160 <=====> 1 : 80 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 160 : 2 <=====> 80 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 160 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 14 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .36101E-02 .99639E+00 .36101E-02 [ PP,QQ ] <====> 3.610108E-003 9.963899E-001 [ MTC ] <====> 124 [ QQ ^^ MTC ] <====> 6.386066E-001 [ PP x QQ ^^ MTC ] <====> 2.305439E-003 ============================================================================== There exist : 1 [ 1 ] " s and 399 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 277 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 2 ============================================================================== PROB % / III / NZ0 / OAG / = .36 % / 2 / 123 / 277 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 278 ) <====> Pr( EVENT E ) = .36101E-02 <====> .36 % [ IMAX, MTC-1, JNDX ] <====> [ 400,123,277 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 277 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 123 where TTMAX(III) = NZ0 - OAG <=======> 123 - 277 = -154 Probablity( E ) = P = .36101E-02 = .36 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 552 <=====> 1 : 276 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 552 : 2 <=====> 276 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 552 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 15 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .10204E-01 .98980E+00 .10204E-01 [ PP,QQ ] <====> 1.020408E-002 9.897959E-001 [ MTC ] <====> 303 [ QQ ^^ MTC ] <====> 4.470285E-002 [ PP x QQ ^^ MTC ] <====> 4.561515E-004 ============================================================================== There exist : 1 [ 1 ] " s and 399 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 98 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 3 ============================================================================== PROB % / III / NZ0 / OAG / = 1.02 % / 3 / 302 / 98 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 99 ) <====> Pr( EVENT E ) = .10204E-01 <====> 1.02 % [ IMAX, MTC-1, JNDX ] <====> [ 400,302, 98 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 98 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 302 where TTMAX(III) = NZ0 - OAG <=======> 302 - 98 = 204 Probablity( E ) = P = .10204E-01 = 1.02 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 194 <=====> 1 : 97 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 194 : 2 <=====> 97 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 194 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 17 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .26954E-02 .99730E+00 .26954E-02 [ PP,QQ ] <====> 2.695418E-003 9.973046E-001 [ MTC ] <====> 30 [ QQ ^^ MTC ] <====> 9.222192E-001 [ PP x QQ ^^ MTC ] <====> 2.485766E-003 ============================================================================== There exist : 1 [ 1 ] " s and 399 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 371 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 4 ============================================================================== PROB % / III / NZ0 / OAG / = .27 % / 4 / 29 / 371 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 372 ) <====> Pr( EVENT E ) = .26954E-02 <====> .27 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 29,371 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 371 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 29 where TTMAX(III) = NZ0 - OAG <=======> 29 - 371 = -342 Probablity( E ) = P = .26954E-02 = .27 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 740 <=====> 1 : 370 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 740 : 2 <=====> 370 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 740 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 18 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .78740E-02 .99213E+00 .78740E-02 [ PP,QQ ] <====> 7.874016E-003 9.921260E-001 [ MTC ] <====> 148 [ QQ ^^ MTC ] <====> 3.103775E-001 [ PP x QQ ^^ MTC ] <====> 2.443917E-003 ============================================================================== There exist : 2 [ 1 ] " s and 398 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 127 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 5 ============================================================================== PROB % / III / NZ0 / OAG / = .79 % / 5 / 147 / 127 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 254 ) <====> Pr( EVENT E ) = .78740E-02 <====> .79 % [ IMAX, MTC-1, JNDX ] <====> [ 400,147,253 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 127 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 147 where TTMAX(III) = NZ0 - OAG <=======> 147 - 127 = 20 Probablity( E ) = P = .78740E-02 = .79 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 252 <=====> 1 : 126 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 252 : 2 <=====> 126 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 252 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 19 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .29326E-02 .99707E+00 .29326E-02 [ PP,QQ ] <====> 2.932551E-003 9.970675E-001 [ MTC ] <====> 60 [ QQ ^^ MTC ] <====> 8.384407E-001 [ PP x QQ ^^ MTC ] <====> 2.458770E-003 ============================================================================== There exist : 1 [ 1 ] " s and 399 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 341 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 6 ============================================================================== PROB % / III / NZ0 / OAG / = .29 % / 6 / 59 / 341 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 342 ) <====> Pr( EVENT E ) = .29326E-02 <====> .29 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 59,341 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 341 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 59 where TTMAX(III) = NZ0 - OAG <=======> 59 - 341 = -282 Probablity( E ) = P = .29326E-02 = .29 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 680 <=====> 1 : 340 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 680 : 2 <=====> 340 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 680 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 20 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .98039E-02 .99020E+00 .98039E-02 [ PP,QQ ] <====> 9.803922E-003 9.901960E-001 [ MTC ] <====> 95 [ QQ ^^ MTC ] <====> 3.922049E-001 [ PP x QQ ^^ MTC ] <====> 3.845146E-003 ============================================================================== There exist : 3 [ 1 ] " s and 397 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 102 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 7 ============================================================================== PROB % / III / NZ0 / OAG / = .98 % / 7 / 94 / 102 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 307 ) <====> Pr( EVENT E ) = .98039E-02 <====> .98 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 94,306 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 102 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 94 where TTMAX(III) = NZ0 - OAG <=======> 94 - 102 = -8 Probablity( E ) = P = .98039E-02 = .98 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 202 <=====> 1 : 100 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 202 : 2 <=====> 100 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 202 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 22 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .14925E-01 .98507E+00 .14925E-01 [ PP,QQ ] <====> 1.492537E-002 9.850746E-001 [ MTC ] <====> 267 [ QQ ^^ MTC ] <====> 1.804097E-002 [ PP x QQ ^^ MTC ] <====> 2.692682E-004 ============================================================================== There exist : 2 [ 1 ] " s and 398 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 67 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 8 ============================================================================== PROB % / III / NZ0 / OAG / = 1.49 % / 8 / 266 / 67 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 135 ) <====> Pr( EVENT E ) = .14925E-01 <====> 1.49 % [ IMAX, MTC-1, JNDX ] <====> [ 400,266,134 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 67 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 266 where TTMAX(III) = NZ0 - OAG <=======> 266 - 67 = 199 Probablity( E ) = P = .14925E-01 = 1.49 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 132 <=====> 1 : 66 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 132 : 2 <=====> 66 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 132 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 23 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .10526E-01 .98947E+00 .10526E-01 [ PP,QQ ] <====> 1.052632E-002 9.894737E-001 [ MTC ] <====> 22 [ QQ ^^ MTC ] <====> 7.923073E-001 [ PP x QQ ^^ MTC ] <====> 8.340077E-003 ============================================================================== There exist : 4 [ 1 ] " s and 396 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 95 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 9 ============================================================================== PROB % / III / NZ0 / OAG / = 1.05 % / 9 / 21 / 95 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 380 ) <====> Pr( EVENT E ) = .10526E-01 <====> 1.05 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 21,379 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 95 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 21 where TTMAX(III) = NZ0 - OAG <=======> 21 - 95 = -74 Probablity( E ) = P = .10526E-01 = 1.05 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 188 <=====> 1 : 94 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 188 : 2 <=====> 94 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 188 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 24 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .15385E-01 .98462E+00 .15385E-01 [ PP,QQ ] <====> 1.538462E-002 9.846154E-001 [ MTC ] <====> 11 [ QQ ^^ MTC ] <====> 8.432043E-001 [ PP x QQ ^^ MTC ] <====> 1.297237E-002 ============================================================================== There exist : 6 [ 1 ] " s and 394 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 65 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 10 ============================================================================== PROB % / III / NZ0 / OAG / = 1.54 % / 10 / 10 / 65 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 391 ) <====> Pr( EVENT E ) = .15385E-01 <====> 1.54 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 10,390 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 65 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 10 where TTMAX(III) = NZ0 - OAG <=======> 10 - 65 = -55 Probablity( E ) = P = .15385E-01 = 1.54 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 128 <=====> 1 : 64 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 128 : 2 <=====> 64 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 128 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 25 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .17544E-01 .98246E+00 .17544E-01 [ PP,QQ ] <====> 1.754386E-002 9.824561E-001 [ MTC ] <====> 2 [ QQ ^^ MTC ] <====> 9.652201E-001 [ PP x QQ ^^ MTC ] <====> 1.693369E-002 ============================================================================== There exist : 7 [ 1 ] " s and 393 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 57 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 11 ============================================================================== PROB % / III / NZ0 / OAG / = 1.75 % / 11 / 1 / 57 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 400 ) <====> Pr( EVENT E ) = .17544E-01 <====> 1.75 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 1,399 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 57 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 1 where TTMAX(III) = NZ0 - OAG <=======> 1 - 57 = -56 Probablity( E ) = P = .17544E-01 = 1.75 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 112 <=====> 1 : 56 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 112 : 2 <=====> 56 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 112 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 26 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .40000E-01 .96000E+00 .40000E-01 [ PP,QQ ] <====> 4.000000E-002 9.600000E-001 [ MTC ] <====> 5 [ QQ ^^ MTC ] <====> 8.153726E-001 [ PP x QQ ^^ MTC ] <====> 3.261491E-002 ============================================================================== There exist : 16 [ 1 ] " s and 384 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 25 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 12 ============================================================================== PROB % / III / NZ0 / OAG / = 4.00 % / 12 / 4 / 25 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 397 ) <====> Pr( EVENT E ) = .40000E-01 <====> 4.00 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 4,396 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 25 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 4 where TTMAX(III) = NZ0 - OAG <=======> 4 - 25 = -21 Probablity( E ) = P = .40000E-01 = 4.00 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 48 <=====> 1 : 24 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 48 : 2 <=====> 24 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 48 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 27 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .20408E-01 .97959E+00 .20408E-01 [ PP,QQ ] <====> 2.040816E-002 9.795918E-001 [ MTC ] <====> 13 [ QQ ^^ MTC ] <====> 7.648691E-001 [ PP x QQ ^^ MTC ] <====> 1.560957E-002 ============================================================================== There exist : 8 [ 1 ] " s and 392 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 49 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 13 ============================================================================== PROB % / III / NZ0 / OAG / = 2.04 % / 13 / 12 / 49 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 389 ) <====> Pr( EVENT E ) = .20408E-01 <====> 2.04 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 12,388 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 49 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 12 where TTMAX(III) = NZ0 - OAG <=======> 12 - 49 = -37 Probablity( E ) = P = .20408E-01 = 2.04 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 96 <=====> 1 : 48 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 96 : 2 <=====> 48 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 96 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 28 ============================================================================== ============================================================================== Utilizing a GEOMETRIC PROBABILITY DISTRIBUTION ============================================================================== (PP,QQ,PROB): .13333E-01 .98667E+00 .13333E-01 [ PP,QQ ] <====> 1.333333E-002 9.866667E-001 [ MTC ] <====> 27 [ QQ ^^ MTC ] <====> 6.959891E-001 [ PP x QQ ^^ MTC ] <====> 9.279856E-003 ============================================================================== There exist : 5 [ 1 ] " s and 395 [ 0 ] " s in 400 Trials ============================================================================== Occurrence Cadence = OIF = 1 / OAG = 1 / 75 where 1 ====> Occurrence of a Specified EVENT and 0 ====> Non-Occurrence of a Specified EVENT ============================================================================== EVENT # 14 ============================================================================== PROB % / III / NZ0 / OAG / = 1.33 % / 14 / 26 / 75 / Pr ( EVENT E will OCCUR on the Next Trial ) <====> Pr ( EVENT E will OCCUR on Trial # 375 ) <====> Pr( EVENT E ) = .13333E-01 <====> 1.33 % [ IMAX, MTC-1, JNDX ] <====> [ 400, 26,374 ] OIF = ODDS in FAVOR of Success on Next Trial = 1 / 75 OAG = ODDS AGAINST <====> 1 / OIF NZ0 = Total Number of Trailing Right Tail O "s = 26 where TTMAX(III) = NZ0 - OAG <=======> 26 - 75 = -49 Probablity( E ) = P = .13333E-01 = 1.33 % ============> ODDS in FAVOR of E <=====> M1 : M2 <=====> 2 : 148 <=====> 1 : 74 in FAVOR of E ODDS AGAINST E <=====> M2 : M1 <=====> 148 : 2 <=====> 74 : 1 AGAINST E For Scaled Values of P and ( 1-P ) , GCD( 2 , 148 ) = 2 ============================================================================== Bin Elts. : Values in COL # 5 <==> F(M) = 29 ============================================================================== 11.11 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 37 9.09 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 39 8.33 % TMAX = -9 Bin Elts. : Values in COL # 5 <==> F(M) = 41 8.33 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 42 6.67 % TMAX = -10 Bin Elts. : Values in COL # 5 <==> F(M) = 35 6.67 % TMAX = -8 Bin Elts. : Values in COL # 5 <==> F(M) = 38 6.67 % TMAX = -15 Bin Elts. : Values in COL # 5 <==> F(M) = 40 6.25 % TMAX = 11 Bin Elts. : Values in COL # 5 <==> F(M) = 32 5.56 % TMAX = -16 Bin Elts. : Values in COL # 5 <==> F(M) = 33 5.26 % TMAX = 26 Bin Elts. : Values in COL # 5 <==> F(M) = 36 5.00 % TMAX = -1 Bin Elts. : Values in COL # 5 <==> F(M) = 31 4.00 % TMAX = -21 Bin Elts. : Values in COL # 5 <==> F(M) = 26 3.85 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 34 3.57 % TMAX = 11 Bin Elts. : Values in COL # 5 <==> F(M) = 30 2.04 % TMAX = -37 Bin Elts. : Values in COL # 5 <==> F(M) = 27 1.92 % TMAX = -14 Bin Elts. : Values in COL # 5 <==> F(M) = 29 1.75 % TMAX = -56 Bin Elts. : Values in COL # 5 <==> F(M) = 25 1.54 % TMAX = -55 Bin Elts. : Values in COL # 5 <==> F(M) = 24 1.49 % TMAX = 199 Bin Elts. : Values in COL # 5 <==> F(M) = 22 1.33 % TMAX = -49 Bin Elts. : Values in COL # 5 <==> F(M) = 28 1.23 % TMAX = 238 Bin Elts. : Values in COL # 5 <==> F(M) = 13 1.05 % TMAX = -74 Bin Elts. : Values in COL # 5 <==> F(M) = 23 1.02 % TMAX = 204 Bin Elts. : Values in COL # 5 <==> F(M) = 15 .98 % TMAX = -8 Bin Elts. : Values in COL # 5 <==> F(M) = 20 .79 % TMAX = 20 Bin Elts. : Values in COL # 5 <==> F(M) = 18 .36 % TMAX = -154 Bin Elts. : Values in COL # 5 <==> F(M) = 14 .29 % TMAX = -282 Bin Elts. : Values in COL # 5 <==> F(M) = 19 .27 % TMAX = -342 Bin Elts. : Values in COL # 5 <==> F(M) = 17 ============================================================================== 11.11 % TMAX = 238 Bin Elts. : Values in COL # 5 <==> F(M) = 13 8.33 % TMAX = 204 Bin Elts. : Values in COL # 5 <==> F(M) = 15 6.25 % TMAX = 199 Bin Elts. : Values in COL # 5 <==> F(M) = 22 1.05 % TMAX = 26 Bin Elts. : Values in COL # 5 <==> F(M) = 36 6.67 % TMAX = 20 Bin Elts. : Values in COL # 5 <==> F(M) = 18 1.92 % TMAX = 11 Bin Elts. : Values in COL # 5 <==> F(M) = 30 1.54 % TMAX = 11 Bin Elts. : Values in COL # 5 <==> F(M) = 32 1.33 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 34 1.02 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 37 .79 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 39 .27 % TMAX = 4 Bin Elts. : Values in COL # 5 <==> F(M) = 42 1.75 % TMAX = -1 Bin Elts. : Values in COL # 5 <==> F(M) = 31 6.67 % TMAX = -8 Bin Elts. : Values in COL # 5 <==> F(M) = 20 .98 % TMAX = -8 Bin Elts. : Values in COL # 5 <==> F(M) = 38 .29 % TMAX = -9 Bin Elts. : Values in COL # 5 <==> F(M) = 41 1.23 % TMAX = -10 Bin Elts. : Values in COL # 5 <==> F(M) = 35 2.04 % TMAX = -14 Bin Elts. : Values in COL # 5 <==> F(M) = 29 .36 % TMAX = -15 Bin Elts. : Values in COL # 5 <==> F(M) = 40 1.49 % TMAX = -16 Bin Elts. : Values in COL # 5 <==> F(M) = 33 4.00 % TMAX = -21 Bin Elts. : Values in COL # 5 <==> F(M) = 26 3.85 % TMAX = -37 Bin Elts. : Values in COL # 5 <==> F(M) = 27 3.57 % TMAX = -49 Bin Elts. : Values in COL # 5 <==> F(M) = 28 5.26 % TMAX = -55 Bin Elts. : Values in COL # 5 <==> F(M) = 24 5.00 % TMAX = -56 Bin Elts. : Values in COL # 5 <==> F(M) = 25 5.56 % TMAX = -74 Bin Elts. : Values in COL # 5 <==> F(M) = 23 9.09 % TMAX = -154 Bin Elts. : Values in COL # 5 <==> F(M) = 14 6.67 % TMAX = -282 Bin Elts. : Values in COL # 5 <==> F(M) = 19 8.33 % TMAX = -342 Bin Elts. : Values in COL # 5 <==> F(M) = 17 ==============================================================================