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 ≤ 5). (c) Compute P(5 ≤ X). (d) What is the probability that the number of anomalies does not exceed the mean value by more than one standard deviation?