We are given here that:
P( BAC = 0 | crash with fatality ) = 0.613
P( 0.01 < BAC < 0.09 | crash with fatality) = 0.335
P( BAC > 0.09 | crash with fatality ) = 0.054
P( crash with fatality ) = 0.027
P( BAC > 0.09) = 0.15
Using Bayes theorem, we have here:
P( BAC > 0.09 | crash with fatality )P( crash with fatality ) =
P( crash with fatality | BAC > 0.09)P(BAC > 0.09)
Putting all the above values, we get here:
0.054*0.027 = P( crash with fatality | BAC > 0.09)*0.15
P( crash with fatality | BAC > 0.09) = 0.054*0.027/ 0.15 =
0.00972
Therefore 0.00972 is the required probability here.
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