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?

what are you doing do you need examples of variable questions?

step-by-step explanation:

5a-1=9               bring the one over the =

5a=10                     divide by your variable

a=2

brainliest? ?

here try this one

3a-24=0

i don't see any steps below, sweetheart

it is definatly the 3rd one. very much looks like it, for a good chance, the third one would be best for you.

8(4)^8=72^feet to say that the total can conclude to 8(4) which as you know would mean 8 x 4. that equals 32w. 32^ could make a 72 answer as well. but your coefficent will remain w so your answer is 72w.

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