Section 3.1 Class Handout
Math 400 – Actuarial Models NAME:______
1. Let l(x) = abxb - 1 for 0 £ x, where a and b are constants.
(a) Find the values of a and b for which l(x) could be the hazard rate for a survival distribution.
(b) Suppose the values of a and b are such that l(x) is the hazard rate for a survival distribution. Find the survival function SX(x), the p.d.f. fX(x), and the mode of the distribution.
(c) Suppose b = 1. Name the type of distribution that the lifetime random variable X has, and state what the mean of X is.
2. Let l(x) = for 0 £ x £ 1/a , where a is a constant.
(a) Find the values of a for which l(x) could be the hazard rate for a survival distribution.
(b) Suppose the value of a is such that l(x) is the hazard rate for a survival distribution. Find the survival function SX(x), find the p.d.f. fX(x), name the type of distribution that the lifetime random variable X has, and state what the mean of X is.
3. Let l(x) = ex for 0 £ x. Decide whether or not l(x) could be the hazard rate for a survival distribution. If not, demonstrate why; if yes, find the survival function SX(x), and find the p.d.f. fX(x).
4. Demonstrate that l(x) = e - x for 0 £ x cannot be the hazard rate for a survival distribution.
5. Demonstrate that each of the functions listed, except for one, cannot be a survival function.
(a) cos(x) for 0 £ x £ 3p/2
(b) cos(x) for 0 £ x £ p/2
(c) sin(x) for 0 £ x £ p/2
(d) for 0 £ x £ 3p
6. Let SX(x) = axn + b for 0 £ x £ k , where a, b, and k are constants, and n is a positive constant.
(a) Find the value of b.
(b) Find a in terms of k and n.
(c) Find the p.d.f. fX(x) in terms of k and n.
(d) Find E(X) in terms of k and n.
(e) If n = 1, name the type of distribution that the lifetime random variable X has.
7. Let SX(x) = (ax + b) n for 0 £ x £ k , where a, b, and k are constants, and n is a positive constant.
(a) Find the value of b.
(b) Find a in terms of k and n.
(c) Find the p.d.f. fX(x) in terms of k and n.
(d) Find E(X) in terms of k and n.
(e) If n = 1, name the type of distribution that the lifetime random variable X has.
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