Q3 Let N (t) be the number of failures of a computer system on the interval [0, t]. We suppose that {N(t), t > 0} is a Poisson process with rat X 1 per week. Q3 (i.) Calculate the probability that the system functions without failure during two consecutive weeks. Q3 (ii.) Calculate the probability that the system has exactly two failures during a given week, knowing it has functioned without failure during the previous two weeks. Q3 (iii.) Calculate the probability that less than two weeks elapse before the third failure occurs. Q3(iv.) Let Z(t) = e-Ne), for t> 0. Show that E[Z(t]] = exp{t(e- – 1)] using conditioning arguments.

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Q3 Let N(t) be the number of failures of a computer system on the interval [0, t]. We suppose
that {N(t), t >0} is a Poisson process with rat A = 1 per week.
Q3(i.) Calculate the probability that the system functions without failure during two consecutive
weeks.
Q3 (ii.) Calculate the probability that the system has exactly two failures during a given week,
knowing it has functioned without failure during the previous two weeks.
Q3 (iii.) Calculate the probability that less than two weeks elapse before the third failure occurs.
Q3 (iv.) Let
Z(t) = e-Ne), for t>0.
Show that
E[Z(t]] = exp{t(e¬l – 1)]
using conditioning arguments.
Transcribed Image Text:Q3 Let N(t) be the number of failures of a computer system on the interval [0, t]. We suppose that {N(t), t >0} is a Poisson process with rat A = 1 per week. Q3(i.) Calculate the probability that the system functions without failure during two consecutive weeks. Q3 (ii.) Calculate the probability that the system has exactly two failures during a given week, knowing it has functioned without failure during the previous two weeks. Q3 (iii.) Calculate the probability that less than two weeks elapse before the third failure occurs. Q3 (iv.) Let Z(t) = e-Ne), for t>0. Show that E[Z(t]] = exp{t(e¬l – 1)] using conditioning arguments.
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