3. (Devore 3.80) Let X be the number of material anomalies occurring in a particular region of an aircraft gas-turbine disk. The article “Methodology for Probabilistic Life Prediction of Multiple- Anomaly Materials” (Amer. Inst. of Aeronautics and Astronautics J., 2006:787793) proposes a Poisson distribution for X. Suppose thatμ= 4.(a) Compute bothP(X≤4) andP(X <4).(
b) ComputeP(4≤X≤8).
(c) ComputeP(8≤X).
(d) What is the probability that the number of anomalies exceeds its mean value by no more than one standard deviation?
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