In: Statistics and Probability
Sara is a 60-year-old Anglo female in reasonably good health. She wants to take out a $50,000 term (that is, straight death benefit) life insurance policy until she is 65. The policy will expire on her 65th birthday. The probability of death in a given year is provided by the Vital Statistics Section of the Statistical Abstract of the United States (116th Edition).
x = age | 60 | 61 | 62 | 63 | 64 |
P(death at this age) | 0.00559 | 0.00977 | 0.00839 | 0.01086 | 0.01129 |
Sara is applying to Big Rock Insurance Company for her term insurance policy.
(a) What is the probability that Sara will die in her 60th year?
(Use 5 decimal places.)
Using this probability and the $50,000 death benefit, what is the
expected cost to Big Rock Insurance?
$
(b) Repeat part (a) for ages 61, 62, 63, and 64.
Age | Expected Cost |
61 | $ |
62 | $ |
63 | $ |
64 | $ |
What would be the total expected cost to Big Rock Insurance over
the years 60 through 64?
$
(c) If Big Rock Insurance wants to make a profit of $700 above the
expected total cost paid out for Sara's death, how much should it
charge for the policy?
$
(d) If Big Rock Insurance Company charges $5000 for the policy, how
much profit does the company expect to make?
$
a) probability that dies in 60 th year= | 0.00559 | |
expected cost = 50000*0.00559= | 279.5 |
b)
probability | expected cost | ||
P(61)=0.00977 | 50000*0.00977=488.5 | ||
P(62)=0.00839 | 50000*0.00839=419.5 | ||
P(63)=0.01086 | 50000*0.01086=543 | ||
P(64)=0.01129 | 50000*0.01129=564.5 |
total expected cost =488.5+419.5+543+564.5= | 2295 |
c)
total premium charged=proft+expected cost = | 2995 |
d)
Profit =premium charged-expected cost= | 2705 |