Supplement. Statistical Quality Control MCQs
Supplement. Statistical Quality Control MCQs
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1: Acceptable Quality Level the _______ of defects the consumer is willing to accept .
A. Percentage
B. Maximum
C. Minimum
D. None of these
2: Acceptable quality level is the percentage of defects the consumer is willing to accept.
A. True
B. False
3: When shipments of a product are received from suppliers is known as ______.
A. Acceptance Sampling
B. Assignable Variations
C. Attribute Data
D. Lower Control Limits
4: Assignable Variation is a process variation that can be traced to a specific “fixable” cause.
A. True
B. False
5: Attribute Data indicates the presence of some attribute such as color, _______ .
A. Satisfaction
B. Workability
C. Beauty
D. All of these
6: Control charts for attribute data that count the number of defects per unit of _____ .
A. Output
B. Input
C. Both input & output
D. None of these
7: Consumer’s risk is when a buyer accepts a shipment of low-quality goods .
A. True
B. False
8: Allowing managers to monitor samples of process performance is known as _______ .
A. Control charts
B. Control Limits
C. Both a & b
D. None of these
9: Control limits are typically _______ standard deviations from the population mean, which contains 99.73% of the sampling distribution .
A. ±2.0
B. ±4.0
C. ±3.0
D. ±1.0
10: Lot Tolerance Percent Defectives defines the ______ of percent defectives a consumer is willing to tolerate.
A. Upper limit
B. Lower limit
C. Both a & b
D. None of these
11: Lower Control Limits is a line that is three standard deviations below the mean.
A. True
B. False
12: Natural Variations _______ process variations
A. Uncontrollable
B. Controllable
C. Both a & b
D. None of these
13: Operating Characteristic Curve used to illustrate the probability of accepting a shipment as a function of the shipment’s quality .
A. True
B. False
14: Which monitor the percent defective in each sample.
A. P Charts
B. Control chart
C. Both a & b
D. None of these
15: A measure of the ability of a process to consistently produce a product or service within design specifications is known as _____ .
A. Process Capability
B. Process Capability Index
C. Producer’s Risk
D. None of these
16: Which process has shifted away from the design target and is off-center ?
A. Process Capability
B. Process Capability Index
C. Producer’s Risk
D. None of these
17: Producer’s Risk is when a buyer rejects a shipment of ______ goods because the sample quality level did not meet its acceptance standard.
A. High-quality
B. Low-quality
C. Both a & b
D. None of these
18: The difference between the largest and the smallest measurement in one sample.
A. R Chart
B. R
C. R̅
D. None of these
19: R̅ is the centerline of the R chart .
A. True
B. False
20: R Chart used to track sample ranges, or the variation of the measurements within each sample .
A. True
B. False
21: Statistical Process Control allows workers to take corrective steps quickly if the control charts indicate the start of an out-of-control situation.
A. True
B. False
22: When producer’s risk occurs in acceptance sampling is known as ______ .
A. Type-I Error
B. Type-II Error
C. Upper Control Limits
D. None of these
23: Type-II Error is when consumer’s risk occurs in acceptance sampling.
A. True
B. False
24: A line that is three standard deviations above the mean, so that 99.7% of the sample plots fall inside this limit is known as ______ .
A. Type-I Error
B. Type-II Error
C. Upper Control Limits
D. None of these
25: Variable Data is continuous process data, such as _______ .
A. Weight
B. Time
C. Length
D. All of these
26: X̅ is for variable data, the ______ of a sample’s measurements
A. Menu
B. Mean
C. Chart
D. None of these
27: X̅ chart used to track the ______ of the sample means .
A. Disinclination
B. Reluctance
C. Unwillingness
D. Central tendency
28: X̅̅ is the centerline of the x̅ chart
A. True
B. False
29: An example of _______ is differences in humidity caused by changing weather conditions.
A. Natural variations
B. Assignable variations
C. Variable data
D. Attribute data
30: An example of _______ is yes/no or pass/fail process dat.
A. Natural variations
B. Assignable variations
C. Variable data
D. Attribute data
31: An example of _______ is continuous process data, such as the time to serve a customer.
A. Natural variations
B. Assignable variations
C. Variable data
D. Attribute data
32: Which of the charts listed below is for variable data?
A. P chart
B. R chart
C. C chart
D. V chart
33: An R chart is used to track
A. The central tendency of the sample means
B. Three standard deviations above the mean
C. Sample ranges
D. The number of defects per unit of output
34: To assess whether a variable process is in control, you
A. Can review the R chart only
B. Can review the chart only
C. Must view both of the charts in unison
D. Do not need either chart to determine this
35: Which of the following is a control chart for attribute data?
A. R chart
B. V chart
C. C chart
D. A chart
36: A C chart is a control chart for attribute data
A. That monitors the percent defective in each sample
B. That counts the number of defects per unit of output
C. Used to track central tendency
D. Used to track variations of the measurements within each sample
37:
The control limits for this control chart, _______, are based on the assumption of a Poisson probability distribution of the item of interest.
A.
R chart
B.
P chart
C.
C chart
D.
chart
38: If the Cpkis greaterthan 1.0,
A. The process is deemed capable of meeting the design specifications
B. The process is not capable of meeting the design specifications
C. Cpk has no relationship to meeting design specifications
D. None of the above
39: The _______ shows whether the process mean has shifted away from the design targets and is off-center.
A. Acceptance sampling
B. Process capability index
C. Control limit
D. None of the above
40: When a buyer accepts a shipment of low-quality goods because the sample met its acceptance standard, it is called _______.
A. Producer’s risk
B. A type-I error
C. Consumer’s risk
D. An operating characteristic curve
41: _______ is used to illustrate the probability of accepting a shipment as a function of the shipment’s quality.
A. Producer’s risk
B. A type-I error
C. Consumer’s risk
D. An operating characteristic curve
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Supplement. Statistical Quality Control MCQs
