Assembled units arrive at an inspection station following a Poisson process with
ID: 3172225 • Letter: A
Question
Assembled units arrive at an inspection station following a Poisson process with rate lambda.
The units are inspected upon arrival, and a portion p 2 (0; 1) of the units is identied
as defective. (Assume inspection time is negligible.) Suppose at t = 0, a defective unit is
identied (upon arrival). Let T denote the time until the next defective unit is identied.
(i) What distribution does T follow?
(ii) What is the probability that given two units have arrived in [0; T] and both are good?
(iii) What is the probability that the second good unit arrives before the second defective unit?
Explanation / Answer
Solution
Back-up Theory
“a portion p of the units is identified as defective.” =>
probability of finding a defective is p………………………………………………………………………(1)
(1) => probability of finding a good unit is (1 - p)………………………..................................………(2)
If X = Number of events per unit time, Y = inter-event time, and X ~ Poisson (), then
Y ~ Exponential(), where = 1/ . ……………………………………..............................……………(3)
Now, to work out the solution,
Part (a)
Given,“Assembled units arrive at an inspection station following a Poisson process with rate lambda.”
=> by (3) of Back-up Theory, T = the time until the next defective unit is identified has Exponential(),
where = 1/ ANSWER
Part (b)
Probability of finding both units good = (1- p)2 [by (2) of Back-up Theory] ANSWER
Part (c)
probability that the second good unit arrives before the second defective unit =>out of four units arrived, first two are good and defective in either order, third unit is good and the fourth unit is defective.
This probability = p(1 - p)(1 - p)p + (1 - p)p(1 - p)p [first is probability of defective, good, good, defective and second is good, defective, good, defective]
= 2p2(1 - p)2 ANSWER
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.