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**Liberty University BUSI 411 Exam 3 complete Answers | Rated A+**

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Liberty University BUSI 411 Exam 3 complete Answers | Rated A+

**There are 14 different versions**

Question 1 Lost production time, scrap, and rework are examples of:

Question 2 A chart showing the number of occurrences by category would be used in:

Question 3 Cause-and-effect diagrams are sometimes called:

Question 4 Among the guiding principles of six sigma are: (I) Reduction of variation is an important goal. (II) Valid measurement is critical. (III) Outputs determine inputs. (IV) We should focus on those critical few influences on our quality.

Question 5 In addition to correcting substandard work, employees have an ethical obligation to __________ whatever led to the quality problem as well.

Question 6 A c-chart is used for:

Question 7 Studies on a bottle-filling machine indicate that it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces. What is the process specification, assuming the Cpk index of 1?

Question 8 The probability of concluding that assignable variation exists when only random variation is present is: (I) the probability of a Type I error. (II) known as the alpha risk. (III) highly unlikely. (IV) the sum of probabilities in the two tails of the normal distribution.

Question 9 A plot below the lower control limit on the range chart: (I) should be ignored since lower variation is desirable. (II) may be an indication that process variation has decreased. (III) should be investigated for assignable cause.

Question 10 A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: If he uses upper and lower control limits of 520 and 480 hours, on what sample(s) (if any) does service life appear to be out of control?

Question 11 In practice, the more commonly used techniques for aggregate planning are:

Question 12 When the opportunity cost of lost revenue is relatively high, _________ become(s) relatively more attractive.

Question 13 Simulation to produce an aggregate plan:

Question 14 Aggregate planning is capacity planning for:

Question 15 Using dynamic pricing in response to capacity variability to ensure that perishable inventory is not wasted is known as:

Question 16 Which of the following is a direct input into capacity requirements planning? (I) the master production schedule (II) routing information (III) current shop loads (IV) planned-order releases

Question 17 The _________ of ERP makes it valuable as a strategic planning tool.

Question 18 An MRP system that is updated periodically to account for all changes which have occurred within a given time interval is called a(n) ________ system.

Question 19 The multiplication process used by MRP to determine lower-level requirements is called:

Question 20 An effort to expand the scope of production resource planning by involving other functional areas in the planning process has been:

Question 21 Continuous improvement attempts to achieve major breakthroughs in product or service quality.

Question 22 Patterns of data on a control chart suggest that the process may have nonrandom variation.

Question 23 A time fence in the master schedule is used to prevent unauthorized people from making changes to the schedule.

Question 24 The bill of materials contains information on lead times and current inventory position on every component required to produce the end item.

Question 25 Net requirements equal gross requirements minus safety stock.

· **Question 1**

3 out of 3 points

The Baldrige Award is based on seven categories. Which is not one of those?

· **Question 2**

3 out of 3 points

TQM stands for:

· **Question 3**

3 out of 3 points

A quality circle is:

· **Question 4**

3 out of 3 points

Which is not a cost of quality?

· **Question 5**

3 out of 3 points

The four dimensions of quality that are sometimes used to determine fitness for use of a product are:

· **Question 6**

3 out of 3 points

The chair of the operations management department at Quality University wants to construct a *p*-chart for determining whether the four faculty teaching the basic P/OM course are under control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results:

What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

· **Question 7**

3 out of 3 points

The assurance that processes are performing in an acceptable manner is the focus of:

· **Question 8**

3 out of 3 points

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is under control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each:

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?

· **Question 9**

3 out of 3 points

A quality analyst wants to construct a control chart for determining whether three machines, all producing the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results

What is the sample mean for machine #1?

· **Question 10**

3 out of 3 points

A company's product line consists of 40 percent Product A, 40 percent Product B, and 20 percent Product C. The aggregate plan calls for total production that averages 1,100 units per quarter. Quarter 1 production will be 800 units, quarter 2 production will be 1,400 units, and quarter 3 production will be 1,200 units. How many units of Product A will be produced in quarter 4?

· **Question 11**

3 out of 3 points

Which of the following differs between aggregate planning in services and aggregate planning in manufacturing?

· **Question 12**

3 out of 3 points

The direct result of disaggregating the aggregate plan is the:

· **Question 13**

3 out of 3 points

What quantity is available for commitment to new customers in either of the first two periods?

· **Question 14**

3 out of 3 points

An MRP system whose records are updated continuously is referred to as a(n):

· **Question 15**

3 out of 3 points

Bunny Helpers, Inc., has just received an order for 100 Deluxe Easter Baskets, which must be ready for delivery at the start of week 6. An MRP planner has prepared the following table showing product structure, lead times (orders are lot-for-lot), and quantities on hand:

Each Deluxe Basket contains two dark chocolate truffles and four carved chocolate eggs; additionally one bottle of Alka-Seltzer is included for those who overindulge.

If the firm is using a fixed-period lot size of two periods, what is the order size for the first order?

· **Question 16**

3 out of 3 points

Bunny Helpers, Inc., has just received an order for 100 Deluxe Easter Baskets, which must be ready for delivery at the start of week 6. An MRP planner has prepared the following table showing product structure, lead times (orders are lot-for-lot), and quantities on hand:

Each Deluxe Basket contains two dark chocolate truffles and four carved chocolate eggs; additionally one bottle of Alka-Seltzer is included for those who overindulge.

How many dark chocolate eggs should be ordered?

· **Question 17**

3 out of 3 points

Continuous improvement attempts to achieve major breakthroughs in product or service quality.

· **Question 18**

3 out of 3 points

A time fence in the master schedule is used to prevent unauthorized people from making changes to the schedule.

· **Question 19**

3 out of 3 points

MRP is used within most MRP II and ERP systems.

· **Question 20**

3 out of 3 points

The term *pegging* refers to identifying the parent items that have generated a given set of material requirements for a part or subassembly.

Question 1 The quality control improvement tool that resembles a "fishbone" is:

Question 2 ISO certification is similar to the Baldrige Award in its emphasis on:

Question 3 A tool that depicts process variation graphically is a(n):

Question 4 Managers have obligations to a wide variety of stakeholders such as shareholders, employees, and customers. When considering outsourcing production to offshore suppliers, managers have to weigh: (I) cost benefits that might make shareholders wealthier. (II) quality issues that might make firms less productive and/or products riskier. (III) the investments already tied up in relationships with existing suppliers.

Question 5 Giving workers responsibility for quality improvements and authority to make changes is known as:

Question 6 Consider the following information: The number of runs up and down for the preceding data is:

Question 7 The chair of the operations management department at Quality University wants to construct a pchart for determining whether the four faculty teaching the basic P/OM course are under control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results: What are the .95 (5 percent risk of Type I error) upper and lower control limits for the pchart?

Question 8 Which of the following is associated with consumer's risk?

Question 9 A control chart used to monitor the fraction of defectives generated by a process is the:

Question 10 Which of the following is not a step in the quality control process?

Question 11 Inventory information for firm ABC: What is the expected inventory at the end of April 2008?

Question 12 Essentially, the output of aggregate planning is the:

Question 13 Which of the following is an input to aggregate planning?

Question 14 Moving from the aggregate plan to a master production schedule requires:

Question 15 Aggregate planning in the case of a highvolume product output business such as a restaurant is directed toward:

Question 16 The MRP input stating which end items are to be produced, when they are needed, and what quantities are needed, is the:

Question 17 Refer to this product tree: If 17 Ps are needed, and no onhand inventory exists for any items, how many Cs will be needed?

Question 18 Which one of the following most closely describes net material requirements?

Question 19 The MRP input storing information on the status of each item by time period (e.g., scheduled receipts, lead time, lot size) is the:

Question 20 Under lotforlot, order sizes for component parts are essentially determined directly from which one of the following?

Question 21 Because courtesy is subjective, it cannot be considered a factor in service quality.

Question 22 Flexible acceptance sampling revises the sampling plan in response to actual results.

Question 23 In the master production schedule, production is planned for the next period whenever the availabletopromise quantity becomes negative.

Question 24 A bill of materials contains a listing of all the assemblies, parts, and materials needed to produce one unit of an end item.

Question 25 MRP, considering inventory position, bills of material, open purchase orders, and lead times guarantees a feasible production plan if the inputs to MRP are accurate.

64. A tool that is not used for quality management is ________.

65. The four dimensions of quality that are sometimes used to determine fitness for use of a product are ______.

66. A tool that depicts process variation graphically is a(n) _________.

67. Which isn't a cost of quality?

68. The Deming Prize was established by the _________.

69. Lost production time, scrap, and rework are examples of ________.

70. Warranty service, processing of complaints, and costs of litigation are examples of ________.

71. Costs of inspectors, testing, test equipment, and labs are examples of ________.

72. Loss of business, liability, productivity and costs are consequences of _______.

73. Quality planning and administration, quality training, and quality control procedures are examples of _______.

74. The purpose of the Malcolm Baldrige National Quality Award is to _______.

75. Fixing a problem will often cost money; to minimize these costs it is best to find and fix the problem _______.

76. Deciding how much to invest in the prevention of defects can be analyzed using ________.

77. The Baldrige award is based on seven categories. Which is not one of those?

78. ISO 9000 standards do not have a requirement for ________.

79. A quality circle is ________.

80. ISO 9000 currently requires _____ of a certified organization.

81. The quality control improvement tool which distinguishes between the "important few" and the "trivial many" is __________.

82. The quality control improvement tool that resembles a "fishbone" is ________.

83. TQM stands for:

84. Which of the following is an element of TQM?

85. Management behaviors supporting an organizational culture that encourages continuous improvement include which of the following?

(I) develop a vision statement for the organization

(II) develop a reward system that promotes the philosophy

(III) institute continuous training programs

(IV) make decisions that adhere to the philosophy

86. The tool that is useful in documenting the current process is:

87. The tool that is useful in the collection and organization of data is:

88. A quality improvement technique that involves the sharing of thoughts and ideas in a way that encourages unrestrained collective thinking is:

89. In order for TQM to be successful, it is essential that most of the organization be _________.

90. Which of the following raises quality risks?

91. Focusing attention on the most important problem areas is referred to as:

92. A chart showing the number of occurrences by category would be used in:

A. Pareto analysis

93. Cause-and-effect diagrams are sometimes called:

94. The process of identifying other organizations that are best at some facet of your operations, and then modeling your organization after them is known as:

95. Giving workers responsibility for quality improvements and authority to make changes is known as:

96. The typical difference between "quality circles" and "continuous improvement teams" is ________.

97. Which of the following is not a goal of process improvement?

98. Managers have obligations to a wide variety of stakeholders such as shareholders, employees and customers. When considering outsourcing production to offshore suppliers, managers have to weigh __.

I) Cost benefits that might make shareholders wealthier

II) Quality issues that might make firms less productive and/or products riskier

III) The investments already tied up in relationships with existing suppliers

99. Focusing a supply chain on ________________ is a modern way of ensuring high quality inputs and a ready supply of process-improvement ideas.

100. As regards quality risks, which of the following would be least likely to involve outsourcing to less-developed countries?

101. If customer satisfaction doesn't always lead to customer loyalty, firms may need to focus additional effort on __________ strategies.

102. Before a dimension of quality can be made operationally useful, it must be restated in some ___________ form.

1. Approving the effort that occurs during the production process is known as acceptance sampling.

True False

2. Statistical Process Control is the measurement of rejects in the final product.

True False

3. The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

True False

4. The optimum level of inspection minimizes the sum of inspection costs and the cost of passing defectives.

True False

5. Processes that are in control eliminate variations.

True False

6. High-cost, low-volume items often require careful inspection since we make them so infrequently.

True False

7. Low-cost, high-volume items often require more intensive inspection.

True False

8. A lower control limit must by definition be a value less than an upper control limit.

True False

9. Attributes need to be measured, variable data can be counted.

True False

10. The amount of inspection we choose can range from no inspection at all to inspecting each item numerous times.

True False

11. The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

True False

12. The purpose of statistical process control is to ensure that historical output is random.

True False

13. A process that exhibits random variability would be judged to be out of control.

True False

14. If a point on a control chart falls outside one of the control limits, this suggests that the process output is non-random and should be investigated.

True False

15. An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.

True False

16. Concluding a process is out of control when it is not is known as a Type I error.

True False

17. An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.

True False

18. Range charts are used mainly with attribute data.

True False

19. Range charts and p-charts are both used for variable data.

True False

20. A p-chart is used to monitor the fraction of defectives in the output of a process.

True False

21. A c-chart is used to monitor the total number of defectives in the output of a process.

True False

22. A c-chart is used to monitor the number of defects per unit for process output.

True False

23. Tolerances represent the control limits we use on the charts.

True False

24. "Process capability" compares "process variability" to the "tolerances."

True False

25. Control limits used on process control charts are specifications established by design or customers.

True False

26. Control limits tend to be wider for more variable processes.

True False

27. Patterns of data on a control chart suggest that the process may have non-random variation.

True False

28. The output of a process may not conform to specifications even though the process may be statistically "in control."

True False

29. Run tests are useful in helping to identify nonrandom variations in a process.

True False

30. Run tests give managers an alternative to control charts; they are quicker and cost less.

True False

31. Statistical process control focuses on the acceptability of process output.

True False

32. A run test checks a sequence of observations for randomness.

True False

33. Even if the process is not centered, the process capability index (indicated by Cpk) is very useful.

True False

34. The process capability index (indicated by Cpk) can be used only when the process is centered.

True False

35. Quality control is assuring that processes are performing in an acceptable manner.

True False

36. The primary purpose of statistical process control is to detect a defective product before it is shipped to a customer.

True False

37. The Taguchi Cost Function suggests that the capability ratio can be improved by extending the spread between LCL and UCL.

True False

38. The variation of a sampling distribution is tighter than the variation of the underlying process distribution.

True False

39. The sampling distribution can be assumed to be approximately normal even when the underlying process distribution is not normally distributed.

True False

40. Approximately 99.7% of sample means will fall within ± two standard deviations of the process mean if the process is under control.

True False

41. The best way to assure quality is to use extensive inspection and control charts.

True False

42. Control limits are based on multiples of the process standard deviation.

True False

43. Attribute data are counted, variable data are measured.

True False

44. The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.

True False

45. Larger samples will require wider x-bar control limits because there is more data.

True False

46. When a process is not centered, its capability is measured in a slightly different way. The symbol for this case is Cpk.

True False

47. Range control charts are used to monitor process central tendency.

True False

48. An "up and down" run test uses the median as a reference point and measures the percentage above and below the median.

True False

49. "Assignable variation" is variation due to a specific cause, such as tool wear.

True False

50. Variation in a sample statistic collected from a process may be either random variation or assignable variation - or both.

True False

51. "Quality of conformance" is concerned with whether a product or service conforms to its specifications.

True False

52. The larger the process variation, the tighter the specifications should be.

True False

53. Type I and Type II errors refer to the magnitude of variation from the standard.

True False

54. The greater the capability ratio, the higher the rejects.

True False

55. Non-random variation is likely whenever all observations are between the LCL and UCL.

True False

56. Which of the following quality control sample statistics indicates a quality characteristic that is an attribute?

A. mean

B. variance

C. standard deviation

D. range

E. proportion

57. A time-ordered plot of representative sample statistics is called a:

A. Gantt chart

B. SIMO-chart

C. Control Chart

D. Up-Down Matrix

E. Standard deviation table

58. A control chart used to monitor the process mean is the:

A. p-chart

B. R-chart

C. x-bar chart

D. c-chart

E. Gantt chart

59. A control chart used to monitor the fraction of defectives generated by a process is the:

A. p-chart

B. R-chart

C. x-bar chart

D. c-chart

E. Gantt chart

60. A p-chart would be used to monitor _______.

A. average shrinkage

B. dispersion in sample data

C. the fraction defective

D. the number of defects per unit

E. the range of values

61. A c-chart is used for:

A. means

B. ranges

C. percent defective

D. fraction defective per unit

E. number of defects per unit

62. A control chart used to monitor the number of defects per unit is the:

A. p-chart

B. R-chart

C. x-bar chart

D. c-chart

E. Gantt chart

63. A point which is outside of the lower control limit on an R-chart:

A. is an indication that no cause of variation is present

B. should be ignored because it signifies better than average quality

C. should be investigated because an assignable cause of variation might be present

D. should be ignored unless another point is outside that limit

E. is impossible since the lower limit is always zero

64. If a process is performing as it should, it is still possible to obtain observations which are outside of which limits?

(I) tolerances

(II) control limits

(III) process variability

A. I

B. II

C. I and II

D. II and III

E. I, II, and III

65. Which of the following relationships must always be incorrect?

A. Tolerances > process variability > control limits

B. Process variability > tolerances > control limits

C. Tolerances > control limits > process variability

D. Process variability > control limits > tolerances

E. Process variability

66. Which of the following is not a step in the quality control process?

A. define what is to be controlled

B. compare measurements to a standard

C. eliminate each of the defects as they are identified

D. take corrective action if necessary

E. evaluate corrective action

67. The probability of concluding that assignable variation exists when only random variation is present is:

(I) the probability of a Type I error

(II) known as the alpha risk

(III) highly unlikely

(IV) the sum of probabilities in the two tails of the normal distribution

A. I and II

B. I and IV

C. II and III

D. I, II, and IV

E. I, III, and IV

68. _______ variation is a variation whose cause can be identified.

A. Assignable

B. Controllable

C. Random

D. Statistical

E. Theoretical

69. A plot below the lower control limit on the range chart:

(I) should be ignored since lower variation is desirable

(II) may be an indication that process variation has decreased

(III) should be investigated for assignable cause

A. I and II

B. I and III

C. II and III

D. II only

E. I, II, and III

70. A shift in the process mean for a measured characteristic would most likely be detected by a:

A. p-chart

B. x-bar chart

C. c-chart

D. R-chart

E. s-chart

71. The range chart (R-chart) is most likely to detect a change in:

A. proportion

B. mean

C. number defective

D. variability

E. sample size

72. The optimum level of inspection is where the:

A. cost of inspection is minimum

B. cost of passing defectives is minimum

C. total cost of inspection and defectives is maximum

D. total cost of inspection and defectives is minimum

E. difference between inspection and defectives costs is minimum

73. The purpose of control charts is to:

A. estimate the proportion of output that is acceptable

B. weed out defective items

C. determine if the output is within tolerances/specifications

D. distinguish between random variation and assignable variation in the process

E. provide meaningful work for quality inspectors

74. The process capability index (Cpk) may mislead if:

(I) the process is not stable.

(II) the process output is not normally distributed.

(III) the process is not centered.

A. I and II

B. I and III

C. II and III

D. II only

E. I, II and III

75. A time-ordered plot of sample statistics is called a(n) ______ chart.

A. Statistical

B. Inspection

C. Control

D. SIMO

E. Limit

86. The number of runs up and down for the data above is:

A. 3

B. 4

C. 5

D. 6

E. none of these

87. The number of runs with respect to the sample median is:

A. 3

B. 4

C. 5

D. 6

E. none of these

The following data occurs chronologically from left to right:

88. The number of runs with respect to the sample median is:

A. 2

B. 3

C. 4

D. 5

E. none of these

89. The number of runs up and down is:

A. 2

B. 3

C. 4

D. 5

E. none of these

A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:

90. What is the sample mean service life for sample 2?

A. 460 hours

B. 495 hours

C. 500 hours

D. 515 hours

E. 525 hours

91. What is the mean of the sampling distribution of sample means when service life is in control?

A. 250 hours

B. 470 hours

C. 495 hours

D. 500 hours

E. 515 hours

92. What is the standard deviation of the sampling distribution of sample means for whenever service life is in control?

A. 5 hours

B. 6.67 hours

C. 10 hours

D. 11.55 hours

E. 20 hours

93. If he uses upper and lower control limits of 520 and 480 hours, what is his risk (alpha) of concluding service life is out of control when it is actually under control (Type I error)?

A. 0.0026

B. 0.0456

C. 0.3174

D. 0.6826

E. 0.9544

94. If he uses upper and lower control limits of 520 and 480 hours, on what sample(s) (if any) does service life appear to be out of control?

A. sample 1

B. sample 2

C. sample 3

D. both samples 2 and 3

E. all samples are in control

A Quality Analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is under control, package weight is normally distributed with a mean of twenty ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each:

95. What is the sample mean package weight for Thursday?

A. 19 ounces

B. 20 ounces

C. 20.6 ounces

D. 21 ounces

E. 23 ounces

96. What is the mean of the sampling distribution of sample means when this process is under control?

A. 18 ounces

B. 19 ounces

C. 20 ounces

D. 21 ounces

E. 22 ounces

97. What is the standard deviation of the sampling distribution of sample means for whenever this process is under control?

A. 0.1 ounces

B. 0.4 ounces

C. 0.5 ounces

D. 1 ounce

E. 2 ounces

98. If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?

A. 0.0026

B. 0.0456

C. 0.3174

D. 0.6826

E. 0.9544

99. If he uses upper and lower control limits of 22 and 18 ounces, on what day(s), if any, does this process appear to be out of control?

A. Monday

B. Tuesday

C. Monday and Tuesday

D. Monday, Tuesday, and Thursday

E. none

A Quality Analyst wants to construct a control chart for determining whether three machines, all producing the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results:

100. What is the sample mean for machine #1?

A. 15

B. 16

C. 17

D. 21

E. 23

101. What is the estimate of the process mean for whenever it is under control?

A. 16

B. 19

C. 20

D. 21

E. 23

102. What is the estimate of the sample average range based upon this limited sample?

A. 13.0

B. 4.33

C. 5.4

D. 4.2

E. 2.0

103. What are the x-bar chart three sigma upper and lower control limits?

A. 22 and 18

B. 23.29 and 16.71

C. 23.5 and 16.5

D. 23.16 and 16.84

E. 24 and 16

104. For upper and lower control limits of 23.29 and 16.71, which machine(s), if any, appear(s) to have an out-of-control process mean?

A. machine #1

B. machine #2

C. machine #3

D. all of the machines

E. none of the machines

The Chair of the Operations Management Department at Quality University wants to construct a p-chart for determining whether the four faculty teaching the basic P/OM course are under control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results:

105. What is the sample proportion of failures (p) for Prof. D?

A. 0

B. .04

C. .11

D. .13

E. .16

106. What is the estimate of the mean proportion of failures for these instructors?

A. .10

B. .11

C. .13

D. .16

E. .40

107. What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

A. .0075

B. .03

C. .075

D. .3

E. .75

108. What are the .95 (5% risk of Type I error) upper and lower control limits for the p-chart?

A. .95 and .05

B. .13 and .07

C. .1588 and .0412

D. .16 and .04

E. .1774 and .0226

109. Using .95 control limits, (5% risk of Type I error), which instructor(s), if any, should he conclude is (are) out of control?

A. none

B. Prof. B

C. Prof. D

D. both Prof. B and Prof. D

E. all

A Quality Analyst wants to construct a control chart for determining whether four machines, all producing the same product, are under control with regard to a particular quality attribute. Accordingly, she inspected 1,000 units of output from each machine in random samples, with the following results:

110. What is the sample proportion of defectives for machine #1?

A. .023

B. .02

C. .0115

D. .0058

E. .005

111. What is the estimate of the process proportion of defectives for whenever it is under control?

A. .08

B. .06

C. .04

D. .02

E. .01

112. What is the estimate of the standard deviation of the sampling distribution of sample proportions for whenever this process is under control?

A. .016

B. .00016

C. .04

D. .0044

E. .00002

113. What are the control chart upper and lower control limits for an alpha risk of .05?

A. .0272 and .0128

B. .0287 and .0113

C. .029 and .013

D. .0303 and .0097

E. .0332 and .0068

114. For upper and lower control limits of .026 and .014, which machine(s), if any, appear(s) to be out-of-control for process proportion of defectives?

A. machine #3

B. machine #4

C. machines #3 and #4

D. machines #2 and #3

E. none of the machines

133. Studies on a bottle-filling machine indicates it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces. What is the process specification, assuming the Cpk index of 1?

A. 0.10 ounces

B. 0.20 ounces

C. 0.30 ounces

D. 16.0 ounces plus or minus 0.30 ounces

E. none of the above

134. Studies on a machine that molds plastic water pipe indicate that when it is injecting 1-inch diameter pipe, the process standard deviation is 0.05 inches. The one-inch pipe has a specification of 1-inch plus or minus 0.10 inch. What is the process capability index (Cpk) if the long-run process mean is 1 inch?

A. 0.50

B. 0.67

C. 1.00

D. 2.00

E. none of the above

135. The specification limit for a product is 8 cm and 10 cm. A process that produces the product has a mean of 9.5 cm and a standard deviation of 0.2 cm. What is the process capability, Cpk?

A. 3.33

B. 1.67

C. 0.83

D. 2.50

E. none of the above

136. The specifications for a product are 6 mm ± 0.1 mm. The process is known to operate at a mean of 6.05 with a standard deviation of 0.01 mm. What is the Cpk for this process?

A. 3.33

B. 1.67

C. 5.00

D. 2.50

E. none of the above

137. Organizations should work to improve process capability so that quality control efforts can become more ________.

A. effective

B. efficient

C. necessary

D. unnecessary

E. widespread

138. A process results in a few defects occurring in each unit of output. Long-run, these defects should be monitored with ___________.

A. p-charts

B. c-charts

C. x-bar charts

D. r-charts

E. o-charts

139. When a process is in control, it results in there being, on average, 16 defects per unit of output. C-chart limits of 8 and 24 would lead to a _______ chance of a Type I error.

A. 67%

B. 92%

C. 33%

D. .03%

E. 5%

140. When a process is in control, it results in there being, on average, 16 defects per unit of output. C-chart limits of 4 and 28 would lead to a _______ chance of a Type I error.

A. 67%

B. 92%

C. 33%

D. 0.3%

E. 5%

141. The basis for a statistical process control chart is a(the) __________.

A. process capability

B. sampling distribution

C. control limit

D. sample range

E. sample mean

1.

Acceptance sampling is applied to batches of items during the production process.

2.

Acceptance sampling procedures are applicable for inspection both before and after production.

3.

Flexible acceptance sampling revises the sampling plan in response to actual results.

4.

The purpose of acceptance sampling is to decide whether a batch of items satisfies pre-determined standards.

5.

A good sampling plan will occasionally reject a lot with very good quality.

6.

Acceptance sampling is most useful when the cost consequences of passing defectives are low.

7.

Acceptance sampling procedures can be applied to both attribute and variables inspection.

8.

Acceptance sampling plans must specify the lot size, the sample size, and the acceptance/rejection criteria.

9.

In a single-sampling plan, the entire lot, or batch of items, is accepted or rejected based upon only one specified sized sample.

10.

A double-sampling plan requires a second sample of exactly twice the size of the first sample.

11.

Sampling plans are designed considering both the cost and time required for the inspection.

12.

In a double-sampling plan, a second sample may not be taken if the results of the first sample are conclusive.

13.

Acceptance sampling is a form of ins

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