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Mean shifts on a production line. Six Sigma is a
Chapter 4, Problem 106E(choose chapter or problem)
Problem 106E
Mean shifts on a production line. Six Sigma is a comprehensive approach to quality goal setting that involves statistics. An article in Aircraft Engineering and Aerospace Technology (Vol. 76, No. 6, 2004) demonstrated the use of the normal distribution in Six Sigma goal setting at Motorola Corporation. Motorola discovered that the average defect rate for parts produced on an assembly line varies from run to run and is approximately normally distributed with a mean equal to 3 defects per million. Assume that the goal at Motorola is for the average defect rate to vary no more than 1.5 standard deviations above or below the mean of 3. How likely is it that the goal will be met?
Questions & Answers
QUESTION:
Problem 106E
Mean shifts on a production line. Six Sigma is a comprehensive approach to quality goal setting that involves statistics. An article in Aircraft Engineering and Aerospace Technology (Vol. 76, No. 6, 2004) demonstrated the use of the normal distribution in Six Sigma goal setting at Motorola Corporation. Motorola discovered that the average defect rate for parts produced on an assembly line varies from run to run and is approximately normally distributed with a mean equal to 3 defects per million. Assume that the goal at Motorola is for the average defect rate to vary no more than 1.5 standard deviations above or below the mean of 3. How likely is it that the goal will be met?
ANSWER:
Answer
Step 1 of 1
The average defect rate for the parts produced is approximately normally distributed with a mean equal to 3 defects per million.
Assume the goal at Motorola is for the average defect rate to vary no more than 1.5 standard deviations above or below the mean of 3.
How likely is it that the goal will be met?
Let be the number of defects per million and has an approximately normally distributed with a mean equal to 3 defects per million.
We have given the average defect rate to vary no more than 1.5 standard deviations above or below the mean of 3.
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