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) = p(x < 4) = (b) compute p(4 ≤ x ≤ 8). (c) compute p(8 ≤ x). (d) what is the probability that the number of anomalies does not exceed the mean value by more than one standard deviation?