20 mutiple choice/ true false questions
Question 1 (1 point)
When the R chart does not exhibit statistical control, the Xbar chart should not be interpreted.
Question 1 options:
True
False
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Question 2 (1 point)
When the R chart does not exhibit statistical control, the Xbar chart may be either wider or narrower than they would be if there were no signals in the R chart.
Question 2 options:
True
False
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Question 3 (1 point)
A Xbar-R control chart pair can be
Question 3 options:
only used to indicate statistical stability of a process
used to indicate statistical stability of a process
used to signal the presence of a process mean shift
used to signal a change in the amount of variation in a process
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Question 4 (1 point)
Rational samples must always have a subgroup size greater than 1
Question 4 options:
True
False
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Question 5 (1 point)
Shewhart’s charts are effective only to the extent that the organization can or will use the knowledge gained from the charts.
Question 5 options:
True
False
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Question 6 (1 point)
In cases where rational sampling is not possible, the X-mR (Individuals) charts can lead to important quality and produtivity improvement opportunities.
Question 6 options:
True
False
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Question 7 (1 point)
Shewhart’s charts always use three-sigma limits based on the data–not based on the specifications or policy
Question 7 options:
True
False
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Question 8 (1 point)
Shewhart’s charts always use three-sigma limits based on the data to compute a dispersion statistic.
Question 8 options:
True
False
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Question 9 (1 point)
Shewhart’s charts rely on the notion of rational sampling and rational subgrouping.
Question 9 options:
True
False
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Question 10 (1 point)
Data must be normally distributed before they can be placed on a control chart
Question 10 options:
True
False
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Question 11 (1 point)
The concept of rational sampling is central
Question 11 options:
to data collection
to control chart construction
to control chart interpretation
problem solving a process problem
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Question 12 (1 point)
Shewhart’s charts always use three-sigma limits based on the data to compute a dispersion statistic. When the subgroup size is n =1, the average moving range is an appropriate basis for the limits.
Question 12 options:
True
False
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Question 13 (1 point)
Shewhart’s charts always use three-sigma limits
Question 13 options:
True
False
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Question 14 (1 point)
If the X (Individuals) chart shows considerable lack of control, the normal probability plot of the individual measurements would probably show the data to be nonnormal.
Question 14 options:
True
False
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Question 15 (1 point)
Individuals charts (I-mR) depend on sampling process characteristics that will not vary in close proximity in time or space during the time that the sampling normally occurs..
Question 15 options:
True
False
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Question 16 (1 point)
Individuals charts (I-mR) that calculate the moving range by using more than the 2 adjacent points run the risk of inflated estimates of the common-cause variation (not a good thing).
Question 16 options:
True
False
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Question 17 (1 point)
Individuals charts (I-mR) that calculate the moving range by using more than the 2 adjacent points run the risk of loosing process insight from the R chart.
Question 17 options:
True
False
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Question 18 (1 point)
In cases where rational subgroups are not possible, the X-mR (Individuals) charts can lead to important quality and produtivity improvement opportunities.
Question 18 options:
True
False
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Question 19 (1 point)
When you made the Moving Average (n=3) control charts and the Exponential Smoothing (0.33) control charts for the SQDC 2e Chap 9-23 solved problem Data for SQDC 2e Prob 9-23, what happened to the upper contol limit?
The upper limit for the Individuals charts for the original data was about 13.
Question 19 options:
all charts gave the same information
The upper limit on the Individuals chart, went about 13 to about 12 for the Exponential Smoothing chart.
The upper limit on the Individuals chart, for Moving Average calculated data had a value less than (below) the Exponential Smoothing chart’s upper limit.
The upper limit on the Individuals chart, for Moving Average calculated data had a value larger than (above) the Exponential Smoothing chart’s upper limit.
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Question 20 (1 point)
When you made the Moving Average (n=3)control charts and the Exponential Smoothing (0.33) control charts for the SQDC 2e Chap 9-23 solved problem Data for SQDC 2e Prob 9-23, what happened to the estimate for the variation (the average on the moving range chart)?
On the Individuals charts for the original data it was about 1.
Question 20 options:
all charts gave the same information
On the Moving Average Moving Range chart, the estimate for the variation (the average on the moving range chart) was about 0.4
On the Exponential Smoothing Moving Range chart, the estimate for the variation (the average on the moving range chart) was less than seen for the original data and more than seen on the chart for the Moving Average moving range chart.
On the Moving Average Moving Range chart, the estimate for the variation (the average on the moving range chart) was less than seen for the original data and more than seen on the chart for the Exponential Smoothing moving range chart.
