There are 2000 scooter drivers, 4000 car drivers and 6000 truck drivers.
Total number of drivers = 2000 + 4000 + 6000 = 12000
Let E1 : the event that insured person is a scooter driver, E2 : the event that insured person is a car driver and E3 : the event that insured person is a truck driver.
Then, E1, E2, E3 are mutually exclusive and exhaustive events. Moreover,
P(E1) = 2000/12000 = 1/6, P(E2) = 4000/12000 = 1/3 and P(E3) = 6000/12000 = 1/2
Let E : the events that insured person meets with an accident,
∴ P(E/E1) = P(scooter driver met with an accident) = 0.01 = 1/100
P(E/E2) = P(car driver met with an accident) = 0.03 = 3/100
P(E/E3) = P(truck driver met with an accident) = 0.15 = 15/100
The probability that the driver is a scooter driver, given he met with an accident, is given by P(E1/E)
By using Baye’s theorem, we obtain
