Suppose E is the event of getting defected output.
Then from the question, we have:
"P(A)=0.2,P(B)=0.48,P(C)=0.22"
"P(E\/A)=0.01,P(E\/B)=0.02,P(E\/C)=0.03"
Now, we need to find the probability that if the bulb is defective then it is not produced by A, that means it is produced by either B or C.
That is, we need to find "P(B\/E)+P(C\/E)"
Now,
"P(B\/E)=(P(B)*P(E\/B))\/(P(A)*P(E\/A)+P(B)*P(E\/B)+P(C)*P(E\/C))"
"P(B\/E)=(0.48*0.02)\/(0.2*0.01+0.48*0.02+0.22*0.03)"
"=0.0096\/(0.0020+0.0096+0.0066)"
"=0.0096\/0.0182"
"=0.5275"
Now, similarly:
"P(C\/E)=(P(C)*P(E\/C))\/(P(A)*P(E\/A)+P(B)*P(E\/B)+P(C)*P(E\/C))"
"P(C\/E)=(0.22*0.03)\/(0.2*0.01+0.48*0.02+0.22*0.03)"
"=0.0066\/(0.0020+0.0096+0.0066)"
"=0.0066\/0.0182"
"=0.3626"
So, the probability that the if the output is defected then it was not produced by A will be equal to ,
"P(B\/E)+P(C\/E)=0.5275+0.3626"
"=0.8901"
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