I need help on how to calculate this correctly
When purchasing bulk orders of batteries, a toy manufacturer uses this acceptance sampling plan: Randomly select and test
4040
batteries and determine whether each is within specifications. The entire shipment is accepted if at most
33
batteries do not meet specifications. A shipment contains
60006000
batteries, and
22%
of them do not meet specifications. What is the probability that this whole shipment will be accepted? Will almost all such shipments be accepted, or will many be rejected?
Given : n = 40 , p = 0.02 , q = 0.98
x be the number of batteries do not meet specifications.
x follows binomial distribution with n = 40 and p = 0.02
P( x ≤ 3 )
=BINOM.DIST(3,40,0.02,TRUE)
= 0.9918
The probability that this whole shipment will be accepted is 0.9918
Almost all such shipments be accepted
99.18% shipments be accepted and 0.82% will be rejected.
I need help on how to calculate this correctly When purchasing bulk orders of batteries, a...
When purchasing bulk orders of batteries, a toy manufacturer uses this acceptance sampling plan: Randomly select and test 46 batteries and determine whether each is within specifications. The entire shipment is accepted if at most 3 batteries do not meet specifications. A shipment contains 4000 batteries, and 33% of them do not meet specifications. What is the probability that this whole shipment will be accepted? Will almost all such shipments be accepted, or will many be rejected? The probability that...
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