A large number of identical items are placed into service at time 0. The items have a failure rate function given by r (t) = 1.105 + 0.30t,where t is measured in years of operation.a. Derive R(t) and F(t).b. If 300 items are still operating at time t = 1 year, approximately how many items would you expect to fail between year 1 and year 2?c. Does the value of r(1) yield a good approximation to the conditional probability computed in part (b)? Why or why not?d. Repeat the calculation of part (b), but determine the expected number of items that fail between t = 1 year and t = 1 year plus 1 week. Does r (t)Δt provide a reasonable approximation to the conditional probability in this case? Why or why not?
A large number of identical items are placed into service at time 0. The items have a failure rate
r (t) = 1.105 + 0.30t,
where t is measured in years of operation.
a. Derive R(t) and F(t).
b. If 300 items are still operating at time t = 1 year, approximately how many items would you expect to fail between year 1 and year 2?
c. Does the value of r(1) yield a good approximation to the conditional
d. Repeat the calculation of part (b), but determine the expected number of items that fail between t = 1 year and t = 1 year plus 1 week. Does r (t)Δt provide a reasonable approximation to the conditional probability in this case? Why or why not?
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