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The average number of surface defects in 20meter square of paper produced by a process is 3. What is the probability of finding no more than 2 defects in 40meter square of paper through random selection? (Use Poisson Distribution) Ops: A. 0.062 B. 0.041 C. 0.059 D. 0.031?
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The average number of surface defects in 20meter square of paper produ...
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Poisson Distribution is used to find the probability of a given number of events occurring in a fixed interval of time or space, assuming that these events occur independently and at a constant rate.

Given that the average number of defects in 20m^2 of paper is 3, we can assume that the defects occur at a rate of λ = 3/20 defects per square meter.

We need to find the probability of finding no more than 2 defects in 40m^2 of paper through random selection.

Let X be the number of defects in 40m^2 of paper. Then X follows a Poisson distribution with parameter λ' = 3/20 * 40 = 6.

To find the required probability, we can use the Poisson probability mass function:

P(X ≤ 2) = Σ (e^-λ' * λ'^k / k!) for k = 0 to 2

P(X ≤ 2) = e^-6 * (6^0 / 0!) + e^-6 * (6^1 / 1!) + e^-6 * (6^2 / 2!)

P(X ≤ 2) = 0.0025 + 0.0149 + 0.0447

P(X ≤ 2) = 0.0621

Therefore, the probability of finding no more than 2 defects in 40m^2 of paper through random selection is 0.0621.

Answer: A. 0.062
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The average number of surface defects in 20meter square of paper produced by a process is 3. What is the probability of finding no more than 2 defects in 40meter square of paper through random selection? (Use Poisson Distribution) Ops: A. 0.062 B. 0.041 C. 0.059 D. 0.031?
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