Exam 3: Statistical Process Control

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A company produces a product which is designed to weigh 10 oz.,with a tolerance of + 0.5 oz.The process produces products with an average weight of 9.95 oz.and a standard deviation of 0.10 oz.The process capability ratio for this process,with z = 3,is

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After special cause variation is detected,the focus changes to identifying the root cause of the variation and eliminating it.

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A company produces a product which is designed to weigh 10 oz.,with a tolerance of + 0.5 oz.The process produces products with an average weight of 9.95 oz.and a standard deviation of 0.10 oz.According to the process capability ratio,is the process capable of meeting design specifications?

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One goal of statistical process control is to prevent a process from producing items that have to be scrapped or reworked.

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A control chart is in control when the plot of the sample points exhibits a pattern.

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A control chart that reflects the amount of dispersion,or spread,present within each sample is known as a(n)

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To monitor the number of blemishes on a polished surface,a company randomly selects 10 units of output from its process and counts the number of blemishes on each unit.The sample results are shown below: To monitor the number of blemishes on a polished surface,a company randomly selects 10 units of output from its process and counts the number of blemishes on each unit.The sample results are shown below:   Given the sample information above,the standard deviation of the number of defects for this process would be Given the sample information above,the standard deviation of the number of defects for this process would be

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A company randomly selects 100 light bulbs every day for 40 days from its production process.If 600 defective light bulbs are found in the sampled bulbs then the estimate for the process average defective would be

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A company randomly selects 100 light bulbs every day for 40 days from its production process.If 600 defective light bulbs are found in the sampled bulbs then the 3-sigma lower control limit would be

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When calculating control limits for a process,the number of standard deviations (z value)is typically six.

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A pattern test can identify an out-of-control process even if all sample points are within control limits.

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Statistical process control can prevent poor quality before it occurs if a pattern is evident in the plotted points.

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Variable (quantitative)control charts are used to monitor measurable characteristics of a process's outputs.

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To monitor the number of blemishes on a polished surface,a company randomly selects 10 units of output from its process and counts the number of blemishes on each unit.The sample results are shown below: To monitor the number of blemishes on a polished surface,a company randomly selects 10 units of output from its process and counts the number of blemishes on each unit.The sample results are shown below:   Given the sample information above,the average number of defects per unit for this process would be Given the sample information above,the average number of defects per unit for this process would be

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Excel can be used to increase the efficiency and accuracy of determining the process capability ratio and the process capability index.

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Four common types of control charts include all of the following except

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If a sample of 40 units of output found 500 defects,then the centre line for monitoring the average number of defects per unit of output would be

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Which of the following charts are frequently used together to monitor and control quality?

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Using control charts,how do we evaluate whether a process is in control?

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The range measures the variation within samples versus the variation between samples.

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