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Mathematics, 22.06.2019 21:30 smithad242

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"† proposes a poisson distribution for x. suppose that μ = 4. (round your answers to three decimal places.) (a) compute both p(x ≤ 4) and p(x < 4). p(x ≤ 4) = 0.6288 p(x < 4) = 0.4335 (b) compute p(4 ≤ x ≤ 7). 0.5154 (c) compute p(7 ≤ x). 0.1106 (d) what is the probability that the number of anomalies does not exceed the mean value by more than one standard deviation?

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