In: Statistics and Probability
The Telektronic Company purchases large shipments of fluorescent bulbs and uses this acceptance-sampling plan: Randomly select and test 20 bulbs, then accept the whole batch if there is only one or none that doesn’t work. If a particular shipment of thousands of bulbs actually has a 4.5% rate of defects, what is the probability that this whole shipment will be accepted? [Assume a binomial probability distribution.]
p = 0.045
n = 20
This is a binomial distribuiton
P(X = x) = 20Cx * 0.045x * (1 - 0.045)20-x
P(shipment will be accepted) = P(X < 1)
= P(X = 0) + P(X = 1)
= 20C0 * 0.0450 * 0.95520 + 20C1 * 0.0451 * 0.95519
= 0.7734