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| 1 | |
In monitoring process quality, we might use which of the following statistics? |
| | A) | Absolute values |
| | B) | Percentage deviation from tolerance centers |
| | C) | "k" values for the sample mean |
| | D) | Logarithmic control intervals |
| | E) | Difference between the highest and lowest value in a sample |
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| 2 | |
You have just used the capability index (Cpk) formulas to compute the two values "min [2, 2.5]." Which of the following is the proper interpretation of these numbers? |
| | A) | The true capability index value is 2.5 |
| | B) | The mean of the production process has shifted to the left of the design limits |
| | C) | The mean of the production process has shifted to the right of the design limits |
| | D) | The mean has not shifted at all |
| | E) | The true capability index value is between 2 and 2.5 |
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| 3 | |
You have just used the capability index (Cpk) formulas to compute the two values "min [1, 1]." Which of the following is the proper interpretation of these numbers? |
| | A) | The true capability index value is exactly 1 |
| | B) | The mean of the production process has shifted to the left of the design limits |
| | C) | The mean of the production process has shifted to the right of the design limits |
| | D) | The mean has not shifted at all |
| | E) | None of the above |
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| 4 | |
You have just used the capability index (Cpk) formulas to compute the two values "min [1.5, 1]." Which of the following is the interpretation of these numbers? |
| | A) | The true capability index value is 1.5 |
| | B) | The mean of the production process has shifted to the left of the design limits |
| | C) | The mean of the production process has shifted to the right of the design limits |
| | D) | The mean has not shifted at all |
| | E) | The true capability index value is between 1.5 and 1 |
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| 5 | |
Quality control charts usually have a central line and upper and lower control limit lines. Which of the following is not a reason that the process being monitored with the chart should be investigated? |
| | A) | A large number of plots are close to the upper or lower control lines |
| | B) | Erratic behavior of the plots |
| | C) | A single plot falls above or below the control limits |
| | D) | A change in raw materials or operators |
| | E) | A run of five above the central line |
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| 6 | |
Quality control charts usually have a central line and upper and lower control limit lines. Which of the following are reasons that the process being monitored with the chart should be investigated? |
| | A) | A single plot falls above or below the control limits |
| | B) | Normal behavior |
| | C) | About half the points are above the central line |
| | D) | No real trend in any direction |
| | E) | A change in raw materials or operators |
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| 7 | |
If there are 12 total defects from 10 samples, each sample consisting of 10 individual items in a production process, which of the following is the fraction defective that can be used in a "p" chart for quality control purposes? |
| | A) | 120 |
| | B) | 10 |
| | C) | 8 |
| | D) | 0.12 |
| | E) | 0.8 |
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| 8 | |
If there are 40 total defects from 8 samples, each sample consisting of 20 individual items in a production process, which of the following is the fraction defective that can be used in a "p" chart for quality control purposes? |
| | A) | 400 |
| | B) | 160 |
| | C) | 0.25 |
| | D) | 1.0 |
| | E) | 0.4 |
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| 9 | |
You want to determine the upper control line for a "p" chart for quality control purposes. You take several samples of a size of 100 items in your production process. From the samples you determine the fraction defective is 0.1 and the standard error is 0.03. If the desired confidence level is 99.7 percent (Z-value=3), which of the following is the resulting UCL value for the line? |
| | A) | 0.13 |
| | B) | 0.19 |
| | C) | 0.01 |
| | D) | 0.05 |
| | E) | None of the above |
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| 10 | |
You want to determine the lower control line for a  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078024021/982672/jac1.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> chart for quality control purposes. You take several samples of a size of 5 items in your production process. From the samples you determine  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078024021/982672/jac2.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (1.0K)</a>]]> is 10.00 and  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078024021/982672/jac3.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> = 0.5. What is the resulting LCL value for the line? |
| | A) | 10.5 |
| | B) | 9.71 |
| | C) | 10.29 |
| | D) | 0.58 |
| | E) | None of the above |
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| 11 | |
You want to determine the lower control line for a R-chart for quality control purposes. You take several samples of a size of 5 items in your production process. From the samples you determine <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078024021/982672/jac2.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (1.0K)</a>]]> is 10.00 and <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078024021/982672/jac3.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>]]> = 0.5. What is the resulting LCL value for the R-chart? |
| | A) | 0.1 |
| | B) | 0.52 |
| | C) | 0 |
| | D) | 10.5 |
| | E) | None of the above |
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