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Supplement. Statistical Quality Control MCQ

1. _______ is used to illustrate the probability of accepting a shipment as a function of the shipment’s quality.

Producer’s risk

A type-I error

Consumer’s risk

An operating characteristic curve

Answer

Correct Answer: An operating characteristic curve

Note: This Question is unanswered, help us to find answer for this one

2. When a buyer accepts a shipment of low-quality goods because the sample met its acceptance standard, it is called _______.

Producer’s risk

A type-I error

Consumer’s risk

An operating characteristic curve

Answer

Correct Answer: Consumer’s risk

Note: This Question is unanswered, help us to find answer for this one

3. The _______ shows whether the process mean has shifted away from the design targets and is off-center.

Acceptance sampling

Process capability index

Control limit

None of the above

Answer

Correct Answer: Process capability index

Note: This Question is unanswered, help us to find answer for this one

4. If the Cpkis greaterthan 1.0,

The process is deemed capable of meeting the design specifications

The process is not capable of meeting the design specifications

Cpk has no relationship to meeting design specifications

None of the above

Answer

Correct Answer: The process is deemed capable of meeting the design specifications

Note: This Question is unanswered, help us to find answer for this one

5.
The control limits for this control chart, _______, are based on the assumption of a Poisson probability distribution of the item of interest.

R chart

P chart

C chart

chart

Answer

Correct Answer:

C chart

Note: This Question is unanswered, help us to find answer for this one

6. A C chart is a control chart for attribute data

That monitors the percent defective in each sample

That counts the number of defects per unit of output

Used to track central tendency

Used to track variations of the measurements within each sample

Answer

Correct Answer: That counts the number of defects per unit of output

Note: This Question is unanswered, help us to find answer for this one

7. Which of the following is a control chart for attribute data?

R chart

V chart

C chart

A chart

Answer

Correct Answer: C chart

Note: This Question is unanswered, help us to find answer for this one

8. To assess whether a variable process is in control, you

Can review the R chart only

Can review the chart only

Must view both of the charts in unison

Do not need either chart to determine this

Answer

Correct Answer: Must view both of the charts in unison

Note: This Question is unanswered, help us to find answer for this one

9. An R chart is used to track

The central tendency of the sample means

Three standard deviations above the mean

Sample ranges

The number of defects per unit of output

Answer

Correct Answer: Sample ranges

Note: This Question is unanswered, help us to find answer for this one

10. Which of the charts listed below is for variable data?

P chart

R chart

C chart

V chart

Answer

Correct Answer: R chart

Note: This Question is unanswered, help us to find answer for this one

11. An example of _______ is continuous process data, such as the time to serve a customer.

Natural variations

Assignable variations

Variable data

Attribute data

Answer

Correct Answer: Variable data

Note: This Question is unanswered, help us to find answer for this one

12. An example of _______ is yes/no or pass/fail process dat.

Natural variations

Assignable variations

Variable data

Attribute data

Answer

Correct Answer: Attribute data

Note: This Question is unanswered, help us to find answer for this one

13. An example of _______ is differences in humidity caused by changing weather conditions.

Natural variations

Assignable variations

Variable data

Attribute data

Answer

Correct Answer: Natural variations

Note: This Question is unanswered, help us to find answer for this one

14. X̅̅ is the centerline of the x̅ chart

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

15. X̅ chart used to track the ______ of the sample means .

Disinclination

Reluctance

Unwillingness

Central tendency

Answer

Correct Answer: Central tendency

Note: This Question is unanswered, help us to find answer for this one

16. X̅ is for variable data, the ______ of a sample’s measurements

Mean

Chart

None of these

Answer

Correct Answer: Mean

Note: This Question is unanswered, help us to find answer for this one

17. Variable Data is continuous process data, such as _______ .

Weight

Time

Length

All of these

Answer

Correct Answer: All of these

Note: This Question is unanswered, help us to find answer for this one

18. 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 ______ .

Type-I Error

Type-II Error

Upper Control Limits

None of these

Answer

Correct Answer: Upper Control Limits

Note: This Question is unanswered, help us to find answer for this one

19. Type-II Error is when consumer’s risk occurs in acceptance sampling.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

20. When producer’s risk occurs in acceptance sampling is known as ______ .

Type-I Error

Type-II Error

Upper Control Limits

None of these

Answer

Correct Answer: Type-I Error

Note: This Question is unanswered, help us to find answer for this one

21. Statistical Process Control allows workers to take corrective steps quickly if the control charts indicate the start of an out-of-control situation.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

22. R Chart used to track sample ranges, or the variation of the measurements within each sample .

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

23. R̅ is the centerline of the R chart .

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

24. The difference between the largest and the smallest measurement in one sample.

R Chart

R̅

None of these

Answer

Correct Answer: R

Note: This Question is unanswered, help us to find answer for this one

25. Producer’s Risk is when a buyer rejects a shipment of ______ goods because the sample quality level did not meet its acceptance standard.

High-quality

Low-quality

Both a & b

None of these

Answer

Correct Answer: High-quality

Note: This Question is unanswered, help us to find answer for this one

26. Which process has shifted away from the design target and is off-center ?

Process Capability

Process Capability Index

Producer’s Risk

None of these

Answer

Correct Answer: Process Capability Index

Note: This Question is unanswered, help us to find answer for this one

27. A measure of the ability of a process to consistently produce a product or service within design specifications is known as _____ .

Process Capability

Process Capability Index

Producer’s Risk

None of these

Answer

Correct Answer: Process Capability

Note: This Question is unanswered, help us to find answer for this one

28. Which monitor the percent defective in each sample.

P Charts

Control chart

Both a & b

None of these

Answer

Correct Answer: P Charts

Note: This Question is unanswered, help us to find answer for this one

29. Operating Characteristic Curve used to illustrate the probability of accepting a shipment as a function of the shipment’s quality .

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

30. Natural Variations _______ process variations

Uncontrollable

Controllable

Both a & b

None of these

Answer

Correct Answer: Uncontrollable

Note: This Question is unanswered, help us to find answer for this one

31. Lower Control Limits is a line that is three standard deviations below the mean.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

32. Lot Tolerance Percent Defectives defines the ______ of percent defectives a consumer is willing to tolerate.

Upper limit

Lower limit

Both a & b

None of these

Answer

Correct Answer: Upper limit

Note: This Question is unanswered, help us to find answer for this one

33. Control limits are typically _______ standard deviations from the population mean, which contains 99.73% of the sampling distribution .

±2.0

±4.0

±3.0

±1.0

Answer

Correct Answer: ±3.0

Note: This Question is unanswered, help us to find answer for this one

34. Allowing managers to monitor samples of process performance is known as _______ .

Control charts

Control Limits

Both a & b

None of these

Answer

Correct Answer: Control charts

Note: This Question is unanswered, help us to find answer for this one

35. Consumer’s risk is when a buyer accepts a shipment of low-quality goods .

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

36. Control charts for attribute data that count the number of defects per unit of _____ .

Output

Input

Both input & output

None of these

Answer

Correct Answer: Output

Note: This Question is unanswered, help us to find answer for this one

37. Attribute Data indicates the presence of some attribute such as color, _______ .

Satisfaction

Workability

Beauty

All of these

Answer

Correct Answer: All of these

Note: This Question is unanswered, help us to find answer for this one

38. Assignable Variation is a process variation that can be traced to a specific “fixable” cause.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

39. When shipments of a product are received from suppliers is known as ______.

Acceptance Sampling

Assignable Variations

Attribute Data

Lower Control Limits

Answer

Correct Answer: Acceptance Sampling

Note: This Question is unanswered, help us to find answer for this one

40. Acceptable quality level is the percentage of defects the consumer is willing to accept.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

41. Acceptable Quality Level the _______ of defects the consumer is willing to accept .

Percentage

Maximum

Minimum

None of these

Answer

Correct Answer: Percentage

Note: This Question is unanswered, help us to find answer for this one

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Supplement. Statistical Quality Control MCQ

1. _______ is used to illustrate the probability of accepting a shipment as a function of the shipment’s quality.

2. When a buyer accepts a shipment of low-quality goods because the sample met its acceptance standard, it is called _______.

3. The _______ shows whether the process mean has shifted away from the design targets and is off-center.

4. If the Cpkis greaterthan 1.0,

5. The control limits for this control chart, _______, are based on the assumption of a Poisson probability distribution of the item of interest.

6. A C chart is a control chart for attribute data

7. Which of the following is a control chart for attribute data?

8. To assess whether a variable process is in control, you

9. An R chart is used to track

10. Which of the charts listed below is for variable data?

11. An example of _______ is continuous process data, such as the time to serve a customer.

12. An example of _______ is yes/no or pass/fail process dat.

13. An example of _______ is differences in humidity caused by changing weather conditions.

14. X̅̅ is the centerline of the x̅ chart

15. X̅ chart used to track the ______ of the sample means .

16. X̅ is for variable data, the ______ of a sample’s measurements

17. Variable Data is continuous process data, such as _______ .

18. 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 ______ .

19. Type-II Error is when consumer’s risk occurs in acceptance sampling.

20. When producer’s risk occurs in acceptance sampling is known as ______ .

21. Statistical Process Control allows workers to take corrective steps quickly if the control charts indicate the start of an out-of-control situation.

22. R Chart used to track sample ranges, or the variation of the measurements within each sample .

23. R̅ is the centerline of the R chart .

24. The difference between the largest and the smallest measurement in one sample.

25. Producer’s Risk is when a buyer rejects a shipment of ______ goods because the sample quality level did not meet its acceptance standard.

26. Which process has shifted away from the design target and is off-center ?

27. A measure of the ability of a process to consistently produce a product or service within design specifications is known as _____ .

28. Which monitor the percent defective in each sample.

29. Operating Characteristic Curve used to illustrate the probability of accepting a shipment as a function of the shipment’s quality .

30. Natural Variations _______ process variations

31. Lower Control Limits is a line that is three standard deviations below the mean.

32. Lot Tolerance Percent Defectives defines the ______ of percent defectives a consumer is willing to tolerate.

33. Control limits are typically _______ standard deviations from the population mean, which contains 99.73% of the sampling distribution .

34. Allowing managers to monitor samples of process performance is known as _______ .

35. Consumer’s risk is when a buyer accepts a shipment of low-quality goods .

36. Control charts for attribute data that count the number of defects per unit of _____ .

37. Attribute Data indicates the presence of some attribute such as color, _______ .

38. Assignable Variation is a process variation that can be traced to a specific “fixable” cause.

39. When shipments of a product are received from suppliers is known as ______.

40. Acceptable quality level is the percentage of defects the consumer is willing to accept.

41. Acceptable Quality Level the _______ of defects the consumer is willing to accept .

5.
The control limits for this control chart, _______, are based on the assumption of a Poisson probability distribution of the item of interest.