The rate of defects is 1 every 2 hours, so total 2 defects in 4 hours.
This is a Poisson experiment in which we know the following:
We plug these values into the Poisson formula as follows:
P(x; μ) = (e-μ) (μx) / x!
P(3; 2) = (2.71828-2) (23) / 3!
P(3; 2) = (0.13534) (8) / 6
P(3; 2) = 0.180
Thus, the probability of 3 defects per 4 hours is 0.180 .
Question 8 2 pts In a Poisson probability problem, the rate of defects is 1 every 2 hours. Find the probability of 3...
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