Exam 6: Statistical Methods in Quality Management
Exam 1: Introduction to Quality80 Questions
Exam 2: Foundations of Quality Management80 Questions
Exam 3: Customer Focus80 Questions
Exam 4: Workforce Focus80 Questions
Exam 5: Process Focus79 Questions
Exam 6: Statistical Methods in Quality Management95 Questions
Exam 7: Design for Quality and Product Excellence80 Questions
Exam 8: Measuring and Controlling Quality104 Questions
Exam 9: Process Improvement and Six Sigma80 Questions
Exam 10: The Baldrige Framework for Performance Excellence80 Questions
Exam 11: Strategy and Performance Excellence78 Questions
Exam 12: Measurement and Knowledge Management for Performance Excellence80 Questions
Exam 13: Leadership for Performance Excellence80 Questions
Exam 14: Building and Sustaining Quality and Performance Excellence77 Questions
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One of the major disadvantages of the Histogram tool is that the results are not dynamically linked to the data.
(True/False)
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A manager at a local manufacturing company has been monitoring the output of one of the machines used to manufacture chromium shells.Past data indicate that if the machine is functioning properly,the length of the shells produced by this machine can be modeled as being normally distributed with a mean of 118 centimeters and a standard deviation of 6.3 centimeters.Suppose 10 shells produced by this machine are randomly selected.What is the probability that the average length of these 10 shells will be between 116 and 120 centimeters when the machine is operating "properly?"
(Multiple Choice)
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The square of the correlation coefficient is called the coefficient of determination.
(True/False)
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In hypothesis testing,the null hypothesis,H0,is assumed to be false in the absence of contradictory data.
(True/False)
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The rejection region is chosen so that the probability of the test statistic falling into it,if H0 is true,is _____.
(Multiple Choice)
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The sampling method where every item in the population has an equal probability of being selected is called:
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A testing engineer in a light bulb factory is planning a study to estimate the average life of a large shipment of light bulbs.The engineer wants to estimate the average life within plus or minus 16 hours with 95 percent confidence.Assuming a process standard deviation of 90 hours,determine the sample size for this study.
(Multiple Choice)
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Any sampling procedure can result in _____ types of errors.
(Multiple Choice)
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Based on historical data,the diameter of a ball bearing is normally distributed with a mean of 0.527 cm and a standard deviation of 0.008 cm.Suppose that a sample of 18 ball bearings are randomly selected from a very large lot.Determine the probability that the average diameter of a sampled ball bearing is greater than 0.530 cm.
(Multiple Choice)
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Why were additional experimental designs conducted to reduce soldering defects in the process?
(Essay)
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A random variable is a theoretical description of the outcome of an experiment.
(True/False)
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_____ involve(s) drawing inferences about two contrasting propositions relating to the value of a population parameter,one of which is assumed to be true in the absence of contradictory data.
(Multiple Choice)
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The number of defects observed in a sample is an example of a continuous random variable.
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A typical group is selected from the population,and a random sample is taken from within the group.This is an example of _____ sampling.
(Multiple Choice)
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What are the tools and databases identified by the team to be used in the study?
(Essay)
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Everything else remaining constant,when the sample size increases:
(Multiple Choice)
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Often,the positively skewed data can be transformed to a normal distribution by using a mathematical transformation such as taking logarithms.
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