Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations.
Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Suppose that Motorola uses the
(a) | The process standard deviation is 0.36, and the process control is set at plus or minus one standard deviation. Units with weights less than 9.64 or greater than 10.36 ounces will be classified as defects. If required, round your answer for the probability of a defect to four decimal places and for the number of defects to the nearest whole number. | ||||
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(b) | Through process design improvements, the process standard deviation can be reduced to 0.12. Assume that the process control remains the same, with weights less than 9.64 or greater than 10.36 ounces being classified as defects. If required, round your answer for the probability of a defect to four decimal places and for the number of defects to the nearest whole number. | ||||
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(c) | What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean? | ||||
Reducing the process standard deviation causes a - Select your answer -substantial increasemoderate increasenegligible changemoderate decreasesubstantial decreaseItem 5 in the number of defects. |
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