3According to the chemical engineering de veloPment re port, all PIPE failures in chemical Plants A PRoroximatèl ä 30% is due to ope fater error. next PiPes through the 20 fault )w dtat is the Probobility the at least 1o of. theM are due o o o Peroton error 2? a whot is the Probabilitg that the faults Caused by the oPektor ale not more thon 4?23 ExPress the binomia dis tributien Con use he table liven het Jou

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Table
Binomial Probability Sums b(x;n,p)
nr
0.10
0.20
0.25
0.30
0.40
0.50
0.60
0.70
0.80
0.90
20
0.1216 0.0115
0.0032
0.0008
0.0000
0.3917
0.0692 0.0243 0.0076
0.0005
0.0000
0.6769
0.2061
0.0913 0.0355
0.0036
0.0002
3
0.8670
0.4114 0.2252 0.1071
0.0160
0.0013
0.0000
4 0.9568
0.6296 0.4148 0.2375
0.0510
0.0059
0.0207
0.0003
0.9887 0.8042 0.6172 0.4164
0.1256
0.0016 0.0000
0.9976
0.9133 0.7858 0.6080
0.2500
0.0577
0.0065 0.0003
7 0.9996
8 0.9999
9 1.0000
10
0.9679
0.8982 0.7723
0.4159
0.1316
0.0210
0.0013
0.0000
0.9900
0.9591
0.8867
0.5956
0.2517
0.0565
0.0051
0.0001
0.9974 0.9861
0.9520
0.7553
0.4119
0.1275
0.0171
0.0006
0.9994
0.9961
0.9829
0.8725
0.5881
0.2447
0.0480
0.0026 0.0000
11
0.9999
0.9991
0.9949
0.9435
0.7483
0.4044
0.1133
0.0100 0.0001
12
1.0000
0.9998
0.9987
0.9790
0.8684
0.5841
0.2277 0.0321 0.0004
13
1.0000
0.9997
0.9935
0.9423
0.7500
0.3920 0.0867 0.0024
14
1.0000
0.9984
0.9793
0.8744
0.5836 0.1958 0.0113
15
0.9941 0.9490 0.7625 0.3704 0.0432
0.9997
16
1.0000
0.9987 0.9840 0.8929
0.5886 0.1330
17
0.9998
0.9964 0.9645
0.7939 0.3231
18
1.0000
0.9995 0.9924
0.9308
0.6083
19
1.0000 0.9992
0.9885
0.8784
20
1.0000
1.0000
1.0000
ALTINBAS
1SIARVE RSITESI
Transcribed Image Text:Table Binomial Probability Sums b(x;n,p) nr 0.10 0.20 0.25 0.30 0.40 0.50 0.60 0.70 0.80 0.90 20 0.1216 0.0115 0.0032 0.0008 0.0000 0.3917 0.0692 0.0243 0.0076 0.0005 0.0000 0.6769 0.2061 0.0913 0.0355 0.0036 0.0002 3 0.8670 0.4114 0.2252 0.1071 0.0160 0.0013 0.0000 4 0.9568 0.6296 0.4148 0.2375 0.0510 0.0059 0.0207 0.0003 0.9887 0.8042 0.6172 0.4164 0.1256 0.0016 0.0000 0.9976 0.9133 0.7858 0.6080 0.2500 0.0577 0.0065 0.0003 7 0.9996 8 0.9999 9 1.0000 10 0.9679 0.8982 0.7723 0.4159 0.1316 0.0210 0.0013 0.0000 0.9900 0.9591 0.8867 0.5956 0.2517 0.0565 0.0051 0.0001 0.9974 0.9861 0.9520 0.7553 0.4119 0.1275 0.0171 0.0006 0.9994 0.9961 0.9829 0.8725 0.5881 0.2447 0.0480 0.0026 0.0000 11 0.9999 0.9991 0.9949 0.9435 0.7483 0.4044 0.1133 0.0100 0.0001 12 1.0000 0.9998 0.9987 0.9790 0.8684 0.5841 0.2277 0.0321 0.0004 13 1.0000 0.9997 0.9935 0.9423 0.7500 0.3920 0.0867 0.0024 14 1.0000 0.9984 0.9793 0.8744 0.5836 0.1958 0.0113 15 0.9941 0.9490 0.7625 0.3704 0.0432 0.9997 16 1.0000 0.9987 0.9840 0.8929 0.5886 0.1330 17 0.9998 0.9964 0.9645 0.7939 0.3231 18 1.0000 0.9995 0.9924 0.9308 0.6083 19 1.0000 0.9992 0.9885 0.8784 20 1.0000 1.0000 1.0000 ALTINBAS 1SIARVE RSITESI
engineering
A ccording to the chemical
de veloPment report, all Pipe failures
in chemical Plants
A Ploroximatėl L 30% is due to ope ter
error. next
Pipes
through the
20
fault
1) w doteat is the Probbility the at least
1a of. them are due to o Peroton
error 2?
O whot is the Probabilitg that the faults
Caused by the oPektor are not more
than 4?23-
xP ress
the binomias dis tributien
use the table given foyr the
hot You
distribution to Solve the Pbblem. Tausles
Con
binonial
Transcribed Image Text:engineering A ccording to the chemical de veloPment report, all Pipe failures in chemical Plants A Ploroximatėl L 30% is due to ope ter error. next Pipes through the 20 fault 1) w doteat is the Probbility the at least 1a of. them are due to o Peroton error 2? O whot is the Probabilitg that the faults Caused by the oPektor are not more than 4?23- xP ress the binomias dis tributien use the table given foyr the hot You distribution to Solve the Pbblem. Tausles Con binonial
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