Let X, the number of flaws on the surface of a randomly selected boiler of a certain type, have a Poisson distribution with parameter =3. Find (<8),(≤8),(5<<8).
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Let X be the 1.85 of faults on the surface of a randomly chosen boiler of a specific type, and a Poisson distribution with parameter be used.
(a) We can find the probability 0.932 at the intersection of the row x = 8 and the column in the Cumulative Poisson Probabilities.
(b) We're interested in access probabilities that are less than or equal to Thio eight. If you check at the table value at eight when U = five on a normal distribution curb, it will include all the numbers below eight. As a result, the cable value at number eight is 2.932.
(c) We now need to calculate the likelihood that X equals eight. This is essentially the likelihood of X being equal to or greater than.