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Suppose that an insurance company classifies people into one of three classes: good risks, average risks, and bad risks. The company’s records indicate that the probabilities that good-, average-, and bad-risk persons will be involved in an accident over a 1-year span are, respectively, .05, .15, and .30. If 20 percent of the population is a good risk, 50 percent an average risk, and 30 percent a bad risk, what proportion of people have accidents in a fixed year? If policyholder A had no accidents in 2012, what is the probability that he or she is a good risk? is an average risk?

Short Answer

Expert verified

With events G, M, B that a person is in the good, average or bad category, and A event that accident happened in a fixed year

[2ex]P(A)=0.175

The probability that he or she is a good risk an average risk is

PG∪M∣Ac≈0.7455

Step by step solution

01

Step 1:Given Information

Events:

G - a person is in the good risk category

M-a person is in the average risk category

B - a person is in the bad risk category

A - a person has an accident in a fixed year

Probabilities:P(G)=20%=0.2P(M)=50%=0.5P(B)=30%=0.3

Since the boxes' contents are known:

P(A\G)=0.05P(A\M)=0.15P(A\B)=0.30

Calculate: P(A),PG∪M∣Ac

P(A) can be obtained by conditioning on whether a person is a good, an average or a bad risk:

P(A)=P(A∣G)P(G)+P(A∣M)P(M)+P(A∣B)P(B)

By substituting before stated probabilities the result is :

P(A)=0.175

02

Step 2:Calculation

Conditional probability is also a probability ,and G and M are mutually exclusive, so by Axiom 3:

PG∪M∣Ac=PG∣Ac+PM∣Ac

For PG∣Acuse the definition formula for conditional probability:

PG∣Ac=PGAcPAc

AsPA=0.175is already calculated, a proposition states :

PAc=1-P(A)⇒PAc=0.825

And by a different use of the definition of PAc∣G:

PGAC=PAC/GPG

Conditional probability is also a probability so:

PAC/G=1-PA/G⇒PAC/G=0.95

Now all the elements of the equation are known, so we can calculate :

PG/AC=0.95×0.20.825≈0.2303

The same is applied for PM/AC:

PM/AC=PMACPAC

PAC=0.825

PMAC=PAC/MPM,PACM=1-PA/M⇒PMAC=0.85×0.5=0.425PG/AC=0.4250.825≈0.5152

03

:Final Answer

Conditional probability is also a probability so:

PG∪M/AC≈0.7455

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