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A past exam from the cork institute of technology for students enrolled in the bachelor of science (honours) in advanced manufacturing technology or process plant technology programs. The exam covers topics in probability and statistics, including calculating probabilities of events, independent events, and distributions. Students are required to answer three questions within the given time frame and with equal marks. Questions include calculating probabilities of defective items from different machines, determining the probability of finding a certain number of non-conforming items in a sample, and analyzing distributions of repair times and fuel gas temperatures.
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Answer three questions. All questions carry equal marks. Statistical tables are provided.
Examiners: Mr. D O’Hare
output. Of their respective outputs 5, 3 and 2 percent are defective. An item is chosen at random. (i) What is the probability that it is defective? (ii) If it is found to be defective, what is the probability that it was produced by machine A? (8 marks)
(b) P(A) = 0.4, P(B)=0.5 and P(A or B) = 0.7. Show that A and B are independent. (6 marks)
(c) An incoming lot of silicon wafers is to be inspected for defectives by an engineer in a microchip manufacturing plant. In a tray containing twenty wafers, assume that four are defective. Two wafers are to be randomly selected for inspection. Find the probability that (i) both are non-defective (ii) one of the two is non-defective (6 marks)
(c) Specifications require that a product have certain quality characteristics, which can only be determined by a destructive test. The current inspection scheme is to select an initial sample of four items from each batch. If all four meet the quality specification, we accept the batch. If two or more fail, we reject the batch. If one fails, we take a further sample of two items. If both pass the inspection, we accept the batch, otherwise we reject. What is the probability that we accept a batch that is 5% defective? (6 marks)
(b) A machine that automatically packs plastic granules into bags is known to operate so that the contents of bags are normally distributed with mean 20kg and standard deviation 1kg. What is the probability that 5 such bags have a mean weight in excess of 20.7 kg?
(5 marks)
(c) The repair times for 16 electronic instruments are shown below. Hours 159 280 101 212 224 379 179 264 222 362 168 250 149 260 285 170 Calculate the sample mean and the sample standard deviation, and establish (i) a 98% confidence interval for the mean repair time for such instruments (ii) a 95% upper confidence limit on the mean repair time. (7 marks)