In: Statistics and Probability
An insurance company believes that people can be divided into two classes: those who are accident-prone and those who are not. Their statistics show that an accident-prone person will have an accident at some time within a fixed one-year period with probability 0.4, whereas this probability decreases to 0.2 for a non-accident-pron person Assume that 30% of the population is accident-prone.
a) What is the probability that a new policyholder will have an accident within a year of purchasing a policy?
b) Suppose that a new policyholder has an accident within a year of purchasing a policy What is the probability that he or she is accident-prone?
c) What is the conditional probability that a new policyholder will have an accident in his or her second year of policy ownership, given that the policyholder had an accident in the first year?
a)
probability that a new policyholder will have an accident within a year of purchasing a policy
=P(accident prone and accident)+P(not accident prone and accident)
=0.3*0.4+0.7*0.2=0.26
b)
P(accident prone given accident)=0.3*0.4/0.26=0.4615
c)
P(accident| accident in 1st year )=0.4615*0.4+(1-0.4615)*0.2 =0.2923