The Uniform Distribution of Deaths Assumption for Fractional Ages: Practice Problems and Solutions: Part 2

The Actuary's Free Study Guide for Exam 3L - Section 16

G. Stolyarov II
This section of sample problems and solutions is a part of The Actuary's Free Study Guide for Exam 3L, authored by Mr. Stolyarov. This is Section 16 of the Study Guide. See an index of all sections by following the link in this paragraph.

We define the following random variables:

T = time until death

K = curate-future-lifetime

S = the fractional part of a year lived in the year of death

The following hold irrespective of the assumptions we make for fractional ages.

T = K + S

Pr[k < T ≤ k + s] = k│sqx = kpx*sqx+k

Then, under the assumption of the uniform distribution of deaths for fractional ages, the following relationships hold:

Pr[k < T ≤ k + s] = s*k│qx = s*kpx*qx+k

ėx = ex + ½

Var[T] = Var[K] + 1/12

Meaning of variables:

ėx= complete-expectation-of-life for a life currently at age x.

ex= expected value of the curate-future-lifetime for a life currently at age x.

The variables K and S are independent under the uniform distribution of deaths assumption.

Source: Bowers, Gerber, et. al. Actuarial Mathematics. 1986. First Edition. Society of Actuaries: Itasca, Illinois. pp. 70-71.

Original Problems and Solutions from The Actuary's Free Study Guide

Problem S3L16-1. The life of a triceratops has the following survival function associated with it: s(x) = e-0.34x. For a 4-year-old triceratops, find Pr[12 < T(4) ≤ 12.67] without assuming a uniform distribution for fractional ages or making any other special assumptions.

Solution S3L16-1. We use the formula Pr[k < T ≤ k + s] = k│sqx.

Thus, Pr[12 < T(4) ≤ 12.67] = 12│0.67q4 = (s(4 + 12) - s(4 + 12 + 0.67))/s(4) = (s(16) - s(16.67))/s(4) =

(e-0.34*16 - e-0.34*16.67)/(e-0.34*4) = Pr[12 < T(4) ≤ 12.67] = about 0.0034443297.

Problem S3L16-2. The life of a triceratops has the following survival function associated with it: s(x) = e-0.34x. For a 4-year-old triceratops, find Pr[12 < T(4) ≤ 12.67] by assuming a uniform distribution of deaths for fractional ages.

Solution S3L16-2. We use the formula Pr[k < T ≤ k + s] = s*k│qx. Thus, Pr[12 < T(4) ≤ 12.67] =

0.6712│q4 = 0.67(e-0.34*16 - e-0.34*17)/(e-0.34*4) = Pr[12 < T(4) ≤ 12.67] = about 0.0032650664.

Problem S3L16-3. For a certain population of newborn rabid rabbits, the expected value of the curate-future-lifetime is 5.56 years. Using the assumption of the uniform distribution of deaths for fractional ages, find the complete-expectation-of-life for newborn rabid rabbits.

Solution S3L16-3. The expected value of the curate-future-lifetime is defined as E[K] = ex. The complete-expectation-of-life is ėx. We want to find ė0.We thus use the formula ėx = ex + ½.

ė0 = e0 + ½ = 5.56 + 0.5 = 6.16 years.

Problem S3L16-4. The variance of the total future lifetime of 7-year-old giant dragonflies is 4. Find the variance of the curate-future-lifetime of 7-year-old giant dragonflies.

Solution S3L16-4. We use the formula Var[T] = Var[K] + 1/12, where we want to find Var[K] = Var[T] - 1/12 = 4 - 1/12 = 47/12 = about 3.916666666667

Problem S3L16-5. Augustus the Actuary makes a bet with Gilgamesh the Gambler that it is possible to reasonably analyze the populations of √(3)-winged hippopotami by assuming a uniform distribution of deaths for fractional ages. Augustus needs to use the assumption to figure out the probability that a newborn √(3)-winged hippopotamus will die sometime between age 5 and age 5.33. Augustus will win the bet if his result using the assumption is within 0.003 of the true result. It is known that the survival function for √(3)-winged hippopotami is s(x) = exp[-0.00003(5x - 1)]. Who will win the bet? Justify your answer.

Solution S3L16-5. We need to find Pr[5 < T(0) ≤ 5.33] in two ways.

First, without any assumptions,

Pr[5 < T(0) ≤ 5.33] = 5│0.33q0 = (s(5) - s(5.33))/s(0) = (s(5) - s(5.33)) =

exp[-0.00003(55 - 1)] - exp[-0.00003(55.33 - 1)] = 0.0996302456. We will call this value A.

Now, assuming a uniform distribution of deaths for fractional ages,

Pr[5 < T(0) ≤ 5.33] = 0.33*5│q0 = 0.33(s(5) - s(6))/s(0) = 0.33(s(5) - s(6)) =

0.33(exp[-0.00003(55 - 1)] - exp[-0.00003(56 - 1)]) = 0.0939625149. We will call this value B.

Now we need to find A - B = 0.0996302456 - 0.0939625149 = 0.0056677309 > 0.003, so Gilgamesh wins the bet.

See other sections of The Actuary's Free Study Guide for Exam 3L.

Published by G. Stolyarov II

G. Stolyarov II is a science fiction novelist, independent essayist, poet, amateur mathematician, composer, author, and actuary.  View profile

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