Exam 7: Statistical Process Control

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The statistical process chart used to control the number of defects per unit of output is the

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If a sample of items is taken and the mean of the sample is outside the control limits the process is

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__________ is a method of measuring samples of lots or batches of product against predetermined standards.

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A Type I error occurs when

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The x-bar chart indicates that a gain or loss of uniformity has occurred in dispersion of a production process.

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In statistical process control, the range often substitutes for the standard deviation.

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Why do range charts exist? Aren't x-bar charts enough?

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Which of the following is true regarding the relationship between AOQ and the true population percent defective?

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What is the AOQ of an acceptance sampling plan?

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If μ = 9 ounces, σ = 0.5 ounces, and n = 9, calculate the 3-sigma control limits.

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Why doesn't acceptance sampling remove all defects from a batch?

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Up to three standard deviations above or below the centerline is the amount of variation that statistical process control allows for

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What four elements determine the value of average outgoing quality? Why does this curve rise, peak, and fall?

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Control charts for variables are based on data that come from

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The term __________ is used to describe how well a process makes units within design specifications (or tolerances).

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To measure the voltage of batteries, one would sample by attributes.

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The mean and standard deviations for a process are μ= 90 and σ = 9. For the variable control chart, a sample size of 16 will be used. Calculate the standard deviation of the sampling distribution.

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In the table below are selected values for the OC curve associated with the acceptance sampling plan n=50, c=1. (Watch out--the points are not evenly spaced.) Assume that upon failed inspection, defective items are replaced. Calculate the AOQ for each data point. (You may assume that the population is much larger than the sample.) Plot the AOQ curve. At approximately what population defective rate is the AOQ at its worst? Explain how this happens. How well does this plan meet the specifications of AQL=0.0050, α =0.05; LTPD=0.05, β =0.10? Discuss. Population percent defective Probability of acceptance 0.005 0.97387 0.01 0.91056 0.02 0.73577 0.03 0.55528 0.04 0.40048 0.05 0.27943 0.06 0.19000 0.08 0.08271

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An operating characteristic (OC) curve describes

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The specification for a plastic handle calls for a length of 6.0 inches ± .2 inches. The standard deviation of the process is estimated to be 0.05 inches. What are the upper and lower specification limits for this product? The process is known to operate at a mean thickness of 6.1 inches. What is the Cp and Cpk for this process? Is this process capable of producing the desired part?

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