Supplement Quality Improvement Tools Full Test Bank Ch.6 - Managing Operations Supply Chain 4e Complete Test Bank by Morgan Swink. DOCX document preview.

Supplement Quality Improvement Tools Full Test Bank Ch.6

Chapter 06S Test Bank

Multiple Choice Questions

 

1. The two types of data involved in quality control are:

 

A. Assignable factors and random factors.

B. Variables and attributes.

C. Random measurements and 100 percent measurements.

D. Accuracy and precision.

 

 

 

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Learning Objective: 06S-02 Identify the importance of data in quality management.
Topic: Quality Improvement Tools

 

2. "Pass/ fail" and "go/no go" are both examples of:

 

A. Attribute data.

B. Decision data.

C. Process flow data.

D. Variable data.

 

 

 

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Topic: Quality Improvement Tools

 

3. The width of a histogram showing a distribution of data indicates the __________ of the process that generated the distribution.

 

A. Predictability

B. Average

C. Bias

D. Central tendency

 

 

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Topic: Quality Improvement Tools

 

4. Zanda Corp. has determined that it has too many products returned from customers. Zanda is interested in determining what factors or elements could contribute to the large number of returns. Which of the following quality tools would Zanda use to achieve this objective?

 

A. Process flowchart

B. Pareto analysis

C. Fishbone diagram

D. Run diagram

E. Scatter diagram

 

 

 

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Topic: Quality Improvement Tools

 

5. You are involved in the implementation of a quality improvement program. Your immediate goal is to identify what problems you should focus on (ideally you want to focus on those that give you the biggest bang for the buck). Which of the following quality control procedures is the most appropriate?

 

A. Fishbone diagrams

B. Process flow charts

C. Pareto analysis

D. Histograms

 

 

 

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Topic: Quality Improvement Tools

6. Suppose that you are a process manager in a manufacturing plant, and you suspect that there is a relationship between the room temperature of the plant and the weights of the plastic caps produced by an injection molding process. What quality improvement tool would you use to investigate this claim?

 

A. Fishbone diagram

B. Check list

C. Pareto analysis

D. Histogram

E. Scatter diagram

 

 

 

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Topic: Quality Improvement Tools

 

7. The specifications for the diameter of a molded part are 10 mm ± 0.5 mm. The actual average and standard deviation from 250 parts sampled is 10.1 mm and 0.1 mm, respectively. What is the process capability as measured by Cp?

 

A. 0.84

B. 1.67

C. 0.60

D. 1.00

E. 1.01

 

 

 

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Topic: Quality Improvement Tools

8. The specifications for the diameter of a molded part are 10 mm ± 0.5 mm. The actual average and standard deviation from 250 parts sampled is 10.1 mm and 0.1 mm, respectively. What is Cpk?

 

A. 0.81

B. 1.01

C. 0.33

D. 1.34

E. 0.80

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

9. The specifications for the diameter of a molded part are 10 mm ± 0.5 mm. The actual average and standard deviation from 250 parts sampled is 10.1 mm and 0.1 mm, respectively. The process can be characterized as:

 

A. Capable.

B. Unreliable.

C. Just barely capable.

D. Out of control.

 

 

 

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Topic: Quality Improvement Tools

10. A firm has an existing process that it would like to use for producing a part it will sell to an industrial customer. The customer requires that defective (out of specification) parts be kept to 3,000 parts per million (three-tenths of 1 percent) or less. A process capability study done on the process revealed that it has a process capability index (Cpk) of 1.00 for this part. What should the firm conclude from the study?

 

A. The process is not capable, but with careful process control, it could be used to meet the customer's requirements.

B. The process is highly capable, and when operating in control, a very high percentage of output will meet the customer's requirements.

C. The process is not capable, and even with careful control, it will not be able to meet the customer's requirements.

D. The process is capable, but just barely, and will require careful monitoring in order to meet customer requirements.

 

 

 

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Topic: Quality Improvement Tools

 

11. Sample means and ranges were obtained for five samples of 10 units per sample from a production process. Assume the process was considered to be in control during the period these samples were collected. The results are as follows:

 

Sample

Mean

Range

1

10.58

0.23

2

9.97

0.25

3

9.99

0.21

4

10.23

0.28

5

10.23

0.28

 

What is the central line of the X chart for this process

 

A. 10.00

B. 10.05

C. 10.20

D. 9.45

E. 9.75

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

12. Sample means and ranges were obtained for five samples of 10 units per sample from a production process. Assume the process was considered to be in control during the period these samples were collected. The results are as follows:

 

Sample

Mean

Range

1

10.58

0.23

2

9.97

0.25

3

9.99

0.21

4

10.23

0.28

5

10.23

0.28

 

LCL for the three sigma X chart for the process is approximately (for a sample size of 10, A2 = 0.31):

 

A. 10.12.

B. 10.05.

C. 10.94.

D. 9.44.

E. 9.75.

 

 

 

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Topic: Quality Improvement Tools

 

13. The objective of statistical process control (SPC) is to:

 

A. Determine whether a batch of raw materials should be accepted or rejected.

B. Determine whether a batch of finished goods should be accepted or rejected.

C. Detect assignable cause variations versus normal random variations in the process.

D. Identify variable versus attribute measures.

 

 

 

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Topic: Quality Improvement Tools

14. Hugging in a control chart usually indicates:

 

A. The process is out of control.

B. Systematic problems in the process that require attention.

C. The process is in control.

D. Something is occurring that is masking natural variation.

 

 

 

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Topic: Quality Improvement Tools

 

15. The Taguchi methods link product design to:

 

A. Customer expectations.

B. Production availability.

C. Process improvement.

D. Unexplained variance.

 

 

 

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Topic: Quality Improvement Tools

 

16. Which of the following categories of causes would be most appropriate for a Marriott (an international hotel chain) or McDonalds (an international fast food chain) or the local hair stylist?

 

A. People, Machine/Equipment, Methods/Processes, Materials

B. Machine, Method, Material, Manpower/Mindpower, Measurement, Mother Nature

C. Product, Price, Place, Promotion, People/personnel, Process, Physical evidence

D. People, Price, Machine, Materials, Mother Nature

 

 

 

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Topic: Quality Improvement Tools/Cause-and-Effect Diagrams

 

17. Which of the following tools is most appropriate when we are interested in determining if a process that was generating attribute-type data (pass/fail, good/bad) was under control?

 

A. p control chart

B. control chart

C. Scatterplot

D. Histogram

 

 

 

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Topic: Quality Improvement Tools/p Attribute Control Chart

 

18. You have been given the following data:

Specification information: Anything between 10 and 20 units per order is acceptable.

 

Process Mean: 13

Upper limit of the process: 16

Lower limit of the process: 10

 

Using this information, which of the following conclusions is most appropriate?

 

A. The process is not capable since it is not centered.

B. The process is barely capable and not centered.

C. The process is capable and centered.

D. The process is not capable and centered.

 

 

 

AACSB: Reflective Thinking
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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Cp and Cpk charts

 

19. You have been given the following sample information that has been drawn from the last sample taken:

 

Mean of the sample: 13.67

Lower control limit for the range: 0

Upper control limit for the range: 10.6

Observations: 13, 12, 8, 10, 11, 16, 17, 8, 17, 18, 20, 14

 

Which of the following conclusions does this data support?

 

A. The process is under control.

B. The process is not under control.

C. The sample is within specifications.

D. The sample is out of specification.

 

 

 

AACSB: Reflective Thinking
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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Process Control Charts

20. You are given the following data for taillight assemblies:

 

Orders

7am - 9am

9am - 11am

11am - 1pm

1pm - 3pm

3pm - 5pm

sum

Insufficient plating

vvvvvvvv

 

v

 

vvvvvv

15

Inability to meet heat specs

vvvvvv

vvvvvvvvv

vvvvvvvvvv

vvvvvvvvv

vvvvvvvv

42

scratched lens

vvvvvvvvvv

vv

vvv

vvv

vvvvvvvvvvv

28

Failed leak test

vv

vv

v

vvv

vv

12

Glue on lens

 

 

vvv

vvv

v

7

Cracked body

v

vv

 

vv

 

5

 

27

16

18

20

28

109

 

Which of the following tools does this data represent?

 

A. Cp/Cpk analysis

B. Histogram

C. Control chart

D. Check sheet

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Check Sheets

21. You are given the following data for taillight assemblies:

 

Orders

7am - 9am

9am - 11am

11am - 1pm

1pm - 3pm

3pm - 5pm

sum

Insufficient plating

vvvvvvvv

 

v

 

vvvvvv

15

Inability to meet heat specs

vvvvvv

vvvvvvvvv

vvvvvvvvvv

vvvvvvvvv

vvvvvvvv

42

scratched lens

vvvvvvvvvv

vv

vvv

vvv

vvvvvvvvvvv

28

Failed leak test

vv

vv

v

vvv

vv

12

Glue on lens

 

 

vvv

vvv

v

7

Cracked body

v

vv

 

vv

 

5

 

27

16

18

20

28

109

 

Management has decided to carry out a Pareto analysis focusing on problem areas. Which of the following conclusions does the Pareto analysis support?

 

A. Management should focus attention on either the early morning or late afternoon time periods.

B. Management should focus attention on "inability to meet heat specs" and "scratched lens."

C. The Pareto analysis should not be used since it is inappropriate in this situation.

D. We are receiving faulty lenses from our suppliers.

 

 

AACSB: Reflective Thinking
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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Pareto Analysis

22. You are given the following data for taillight assemblies:

 

Orders

7am - 9am

9am - 11am

11am - 1pm

1pm - 3pm

3pm - 5pm

sum

Insufficient plating

vvvvvvvv

 

v

 

vvvvvv

15

Inability to meet heat specs

vvvvvv

vvvvvvvvv

vvvvvvvvvv

vvvvvvvvv

vvvvvvvv

42

scratched lens

vvvvvvvvvv

vv

vvv

vvv

vvvvvvvvvvv

28

Failed leak test

vv

vv

v

vvv

vv

12

Glue on lens

 

 

vvv

vvv

v

7

Cracked body

v

vv

 

vv

 

5

 

27

16

18

20

28

109

 

Management has decided that they must do something about the inability of the taillight assemblies to meet the quality specifications. Yet currently they do not know what areas they should look at. To help management in dealing with this issue, which of the following quality control tools would be most appropriate?

 

A. Histogram

B. Scatterplots

C. Cause-and-effect diagrams

D. Plan-Do-Check-Act

 

 

 

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Topic: Quality Improvement Tools/Cause-and-Effect Diagrams

 

23. We are experiencing a problem where the output of a process keeps shifting over time. If we were to use a histogram to collect and display the resulting data, what type of shape would it most likely display?

 

A. Bell (normal) distribution

B. Plateau-shaped distribution

C. Bimodal distribution

D. Skewed distribution

 

 

 

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24. A process can be said to be capable when:

 

A. The Cp is greater than 1.5.

B. The Cpk is less than 1.0.

C. The process is perfectly centered within the specification.

D. The Cpk is greater than 1.5.

 

 

 

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Topic: Quality Improvement Tools/Process Capability Analysis: Cp and Cpk

 

25. A packaging plant is running a filling process where packages are filled with 24 oz. +/- 0.08 oz. A capability study reveals that the process mean is 24 oz. with a standard deviation of 0.02 oz. What is the capability of the packaging line?

 

A. 0.67

B. 1.33

C. 0.50

D. 1.50

 

 

 

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Topic: Quality Improvement Tools/Process Capability Analysis: Cp and Cpk

26. Forty samples of 100 are taken, with the total number of defective units being 150. What is the upper control limit of the three sigma (z = 3) p-chart?

 

A. 0.0375

B. 0.0945

C. 0.165

D. 0.793

 

 

 

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Topic: Quality Improvement Tools/p Attribute Control Chart

 

27. Forty samples of 100 are taken, with the total number of defective units being 150. What is the lower control limit for the three sigma (z = 3) p-chart?"

 

A. 0.000

B. 0.0190

C. 0.0375

D. 0.0570

 

 

 

AACSB: Analytical Thinking
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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/p Attribute Control Chart

28. Fifteen samples of size 10 are taken from a stable process. The average of the sample means is 32.8, and the average range of the samples is 1.5. What is the upper control limit for the R chart? Use the information contained in the attached chart.

 

n

A2

D4

2

1.880

3.267

3

1.023

2.574

4

0.729

2.282

5

0.577

2.114

6

0.483

2.004

7

0.419

1.924

8

0.373

1.864

9

0.337

1.816

10

0.308

1.777

11

0.285

1.744

12

0.266

1.717

13

0.249

1.693

14

0.235

1.672

15

0.223

1.653

 

A. 1.777

B. 1.653

C. 2.666

D. 2.480

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Constructing an xbar-R chart

29. Twenty samples of size 8 were taken from a stable process. From past studies of the process, you know that the overall mean is 42.5 and that the average of the samples range is 2.0. What is the upper control limit for the x-bar chart? Use the information contained in the attached chart to determine your answer.

 

n

A2

D4

2

1.880

3.267

3

1.023

2.574

4

0.729

2.282

5

0.577

2.114

6

0.483

2.004

7

0.419

1.924

8

0.373

1.864

9

0.337

1.816

10

0.308

1.777

11

0.285

1.744

12

0.266

1.717

13

0.249

1.693

14

0.235

1.672

15

0.223

1.653

 

A. 43.25

B. 44.50

C. 46.22

D. 48.50

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/Constructing an xbar-R chart

 

30. Under what conditions would we be required to recalculate the parameters for an X-bar-R chart?

 

A. When the first sample mean crosses either the UCL or LCL.

B. When there is hugging observed in the data.

C. When we change the production process.

D. When dealing with a two-shift operation.

 

 

 

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31. Which of the following quality improvement tools is most appropriate for identifying patterns in the data?

 

A. Cause and effect diagrams.

B. Process flow analysis.

C. Check sheets.

D. Process capability analysis.

 

 

 

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32. Which of the following types of control charts would be most appropriate if the data that we are dealing with is binary in nature (good/bad, pass/fail, accept/reject)?

 

A. p attribute chart.

B. Xbar-R chart.

C. Cp/Cpk.

D. Histogram.

 

 

 

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Topic: Quality Improvement Tools/p Attribute Control Chart

33. Which of the following conclusions does the p data shown below support?

P = .10

UCL = 0.2022

LCL = 0.-0154

 

Batch number

p

1

0.10

2

0.12

3

0.10

4

0.12

5

0.06

6

0.06

7

0.12

8

0.10

9

0.06

10

0.10

11

0.10

12

0.16

13

0.22

14

0.20

15

0.12

16

0.10

17

0.06

18

0.10

19

0.10

20

0.12

21

0.10

22

0.12

23

0.06

24

0.08

25

0.10

 

A. The process is under control

B. The process is showing trending.

C. The process is showing hugging.

D. Except for batch 13, the process is under control.

 

 

 

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Topic: Quality Improvement Tools/p Attribute Control Chart

34. Which of the following conclusions does the p data shown below support?

P = .10

UCL = 0.2022

LCL = 0.-0154

 

Batch number

p

1

0.10

2

0.12

3

0.10

4

0.12

5

0.06

6

0.06

7

0.12

8

0.10

9

0.06

10

0.10

11

0.10

12

0.16

13

0.22

14

0.20

15

0.12

16

0.10

17

0.06

18

0.10

19

0.10

20

0.12

21

0.10

22

0.12

23

0.06

24

0.08

25

0.10

 

A. The process is under control

B. The process is showing trending.

C. The process is showing hugging.

D. Except for one batch, the process is under control.

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/p Attribute Control Chart

35. Which of the following conclusions does the p data shown below support?

P = .10

UCL = 0.2022

LCL = 0.-0154

 

Batch number

p

1

0.10

2

0.11

3

0.10

4

0.10

5

0.11

6

0.09

7

0.12

8

0.10

9

0.10

10

0.11

11

0.09

12

0.09

13

0.10

14

0.10

15

0.11

16

0.11

17

0.12

18

0.10

19

0.13

20

0.13

21

0.14

22

0.15

23

0.17

24

0.18

25

0.18

 

A. The process is under control

B. The process is showing trending.

C. The process is showing hugging.

D. Except for one point, the process is under control.

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools/p Attribute Control Chart

36. Measuring quality in brief customer interactions is particularly difficult, as each customer’s interaction with a company employee has the potential to be personal and unique. Some service firms have attempted to measure the effectiveness of these transient customer interactions using which of the following scales?

 

A. Excellent, Good, Indifferent, Poor

B. Exceptional, Positive, Neutral, Exasperating

C. Did not meet expectations, Met expectations, Exceeded expectations

D. A point scale awarding one to five-stars based on the interaction

E. Good, Better, Best

 

 

 

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Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

37. To determine whether two variables are related to each other you would use:

 

A. Scatter diagram

B. Pareto analysis

C. Moment of Truth analysis

D. Histograms

E. Capability analysis

 

 

 

AACSB: Reflective Thinking
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Blooms: Remember
Difficulty: 1 Easy
Gradable: automatic
Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

38. Which of the following quality improvement tools is not a particularly good brainstorming tool?

 

A. Fishbone diagrams

B. Ishikawa chart

C. Cause-and-effect analysis

D. Process capability analysis

 

 

AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
Accessibility: Screen Reader Compatible
Blooms: Remember
Difficulty: 1 Easy
Gradable: automatic
Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

39. A process has been operating very capably with all of its’ output falling between the UCL and the LCL. None-the-less, there is some level of variation in the measurements of the output of the process. What is the source of this variation?

 

A. Less experienced operators

B. Inconsistent raw materials

C. Natural variation

D. Equipment wear and vibration

 

 

 

AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
Accessibility: Screen Reader Compatible
Blooms: Remember
Difficulty: 1 Easy
Gradable: automatic
Learning Objective: 06S-01 Apply quality management tools for problem solving.
Topic: Quality Improvement Tools

 

40. Effective quality management requires:

 

A. Data

B. Workers skilled in statistics and math

C. Charismatic leadership

D. Willingness to spend time and money measuring output

 

 

 

AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
Accessibility: Screen Reader Compatible
Blooms: Remember
Difficulty: 1 Easy
Gradable: automatic
Learning Objective: 06S-02 Identify the importance of data in quality management.
Topic: Quality Improvement Tools

 

Chapter 06S Test Bank - Summary

Category

# of Questions

AACSB: Analytical Thinking

10

AACSB: Reflective Thinking

30

Accessibility: Keyboard Navigation

40

Accessibility: Screen Reader Compatible

30

Blooms: Analyze

5

Blooms: Apply

4

Blooms: Remember

7

Blooms: Understand

24

Difficulty: 1 Easy

25

Difficulty: 2 Medium

13

Difficulty: 3 Hard

2

Gradable: automatic

40

Learning Objective: 06S-01 Apply quality management tools for problem solving.

37

Learning Objective: 06S-02 Identify the importance of data in quality management.

3

Topic: Quality Improvement Tools

22

Topic: Quality Improvement Tools/Cause-and-Effect Diagrams

2

Topic: Quality Improvement Tools/Check Sheets

1

Topic: Quality Improvement Tools/Constructing an xbar-R chart

2

Topic: Quality Improvement Tools/Cp and Cpk charts

1

Topic: Quality Improvement Tools/Histograms

1

Topic: Quality Improvement Tools/p Attribute Control Chart

7

Topic: Quality Improvement Tools/Pareto Analysis

1

Topic: Quality Improvement Tools/Process Capability Analysis: Cp and Cpk

2

Topic: Quality Improvement Tools/Process Control Charts

1

Document Information

Document Type:
DOCX
Chapter Number:
6
Created Date:
Aug 21, 2025
Chapter Name:
Chapter 6 Supplement Quality Improvement Tools
Author:
Morgan Swink

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