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The number of flaws on a copper wire follows Poisson distribution with mean 0.5 flaws per millimeter
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The number of flaws on a copper wire follows Poisson distribution with mean 0.5 flaws per millimeter. A screening test is used to decide if a copper wire will be scrapped or not. If the wire sample is flawless, then the probability that it will be scrapped based on the screening test is 0.01. If the wire sample contains at least one flaw, then the probability that it will be scrapped based on the screening test is 0.97. A sample of this copper wire of length 3 millimeters is chosen for the screening test. Find the probability that it will not be scrapped based on the screening test. [ 6 marks]
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[Solved] The number of flaws on a copper wire follows Poisson distribution with mean 0.5 flaws per millimeter
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- Submitted On 31 Aug, 2020 10:55:18
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The number of flaws on a copper wire follows Poisson distribution with mean 0.5 flaws per millimeter
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The number of people who enter Rooster’s Coffeehouse follows a Poisson distribution
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