Deck 13: Supplement: Statistical Quality Control and Six Sigma Quality Management

Question 1

A drive-in restaurant is running a new promotion, the "Route 44,"
named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. Since the regional manager is somewhat of a quality expert, she needs your help in formulating a control chart that will monitor the process performance to target.


-What is the central line of the X bar chart for this process?

A)45.03
B)47.56
C)49.77
D)42.50
E)40.29

Answer 1

45.03

Question 2

A drive-in restaurant is running a new promotion, the "Route 44,"
named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. Since the regional manager is somewhat of a quality expert, she needs your help in formulating a control chart that will monitor the process performance to target.


-The UCL for the three sigma X bar chart for the process is approximately:

A)45.03
B)47.56
C)49.29
D)42.50
E)40.29

Answer 2

49.29

Question 3

A drive-in restaurant is running a new promotion, the "Route 44,"
named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. Since the regional manager is somewhat of a quality expert, she needs your help in formulating a control chart that will monitor the process performance to target.


-The LCL for the three sigma X bar chart for the process is approximately:

A)45.03
B)47.56
C)49.77
D)42.50
E)40.77

Answer 3

40.77

Question 4

A drive-in restaurant is running a new promotion, the "Route 44," named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. The regional manager is more concerned about the consistency of the process, figuring that if the cups are filled, the amount will be close enough for beverage work.


-What is the central line of the R chart for this process?

A)7.38
B)17.36
C)14.58
D)0.00
E)1.83

Question 5

A drive-in restaurant is running a new promotion, the "Route 44," named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. The regional manager is more concerned about the consistency of the process, figuring that if the cups are filled, the amount will be close enough for beverage work.


-The UCL for the three sigma R chart for the process is approximately:

A)8.21
B)15.61
C)14.58
D)0.00
E)1.83

Question 6

A drive-in restaurant is running a new promotion, the "Route 44," named after an interstate that runs through their primary market area. The drink is promoted as 44 ounces of pure carbonated pleasure but the regional manager, being somewhat of a quality expert, wants to make sure that the company's drink process can deliver 44 ounces. She decides statistical quality control is the best way to monitor their process. For ten consecutive days she purchases five Route 44 drinks from franchise locations on her way to headquarters and turns them over to the testing lab for volume analysis. The data appear in the table, all amounts are in fluid ounces as measured by the testing lab. The regional manager is more concerned about the consistency of the process, figuring that if the cups are filled, the amount will be close enough for beverage work.


-The LCL for the three sigma R chart for the process is approximately:

A)8.21
B)17.36
C)14.58
D)0.00
E)1.83

Question 7

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:


-What is the central line of the X bar chart for this process?

A)10.12
B)10.28
C)10.20
D)9.45
E)9.75

Question 8

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:


-The UCL for the three sigma X bar chart for the process is approximately (for a sample size of 10, A₂ = 0.308):

A)10.12
B)10.28
C)10.20
D)9.45
E)9.75

Question 9

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:


-The LCL for the three sigma X bar chart for the process is approximately (for a sample size of 10, A₂ = 0.308):

A)10.12
B)10.28
C)10.20
D)9.45
E)9.75

Question 10

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:


-What is the central line of the R chart for this process?

A)0.23
B)0.19
C)0.44
D)0.25
E)0.06

Question 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:


-The UCL for the three sigma R chart for the process is approximately (for a sample size of 10, D₃ = 1.777, D₄ = 0.223):

A)0.23
B)0.19
C)0.44
D)0.25
E)0.06

Question 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:


-The LCL for the three sigma R chart for the process is approximately (for a sample size of 10, D₃ = 1.777, D₄ = 0.223):

A)0.23
B)0.19
C)0.44
D)0.25
E)0.06

Question 13

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. Use the information contained in the chart below (Table 13s.1):


-The UCL for the three sigma X bar chart for the process is approximately (for a sample size of 10, A₂ = 0.308):

A)32.34
B)33.26
C)32.80
D)32.28
E)32.64

Question 14

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. Use the information contained in the chart below (Table 13s.1):


-The LCL for the three sigma X bar chart for the process is approximately (for a sample size of 10, A₂ = 0.308):

A)32.34
B)33.26
C)32.80
D)32.28
E)32.64

Question 15

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. Use the information contained in the chart below (Table 13s.1):


-The UCL for the three sigma R chart for the process is approximately (for a sample size of 10, D₃ = 1.777, D₄ = 0.223):

A)0.39
B)0.34
C)0.46
D)2.67
E)1.50

Question 16

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. Use the information contained in the chart below (Table 13s.1):


-The LCL for the three sigma R chart for the process is approximately (for a sample size of 10, D₃ = 1.777, D₄ = 0.223):

A)0.39
B)0.34
C)0.46
D)2.67
E)1.50

Question 17

Use the information contained in this chart to determine your answer. 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.


-The UCL for the three sigma X bar chart for the process is approximately (for a sample size of 8, A₂ = 0.373):

A)42.95
B)43.25
C)43.46
D)42.50
E)41.75

Question 18

Use the information contained in this chart to determine your answer. 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.


-The LCL for the three sigma X bar chart for the process is approximately (for a sample size of 8, A₂ = 0.373):

A)42.95
B)43.25
C)43.46
D)42.50
E)41.75

Question 19

Use the information contained in this chart to determine your answer. 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.


-The UCL for the three sigma R chart for the process is approximately (for a sample size of 8, D₃ = 0.136, D₄ = 1.864):

A)2.00
B)0.45
C)0.27
D)3.55
E)3.73

Question 20

Use the information contained in this chart to determine your answer. 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.


-The LCL for the three sigma R chart for the process is approximately (for a sample size of 8, D₃ = 0.136, D₄ = 1.864):

A)2.00
B)0.45
C)0.27
D)3.55
E)3.73

Question 21

A pizza delivery service wants to track their delivery times. They take eight samples of four deliveries and record the following data. What are the upper and lower control limits of their R-chart?

A)24.9, 20.3
B)7.2, 0.0
C)3.1, 0.0
D)22.6, 0.0
E)5.85, 0.43

Question 22

A pizza delivery service wants to track their delivery times. They take eight samples of four deliveries and record the following data. What are the upper and lower control limits of their chart?

A)24.9, 20.3
B)23.8, 21.4
C)22.6, 19.5
D)21.1, 17.6
E)23.6, 21.7

Question 23

An airline wants to monitor the performance of their baggage handling crew on the daily flight from Syracuse to Boston that is always filled to its 140 passenger capacity. They track the number of passengers that lose bags each flight for a two week period. The data are displayed in the following table.


-Calculate " , the mean percent defective for all samples collected.

A)0.0148
B)0.0760
C)0.2844
D)0.0316
E)0.0000

Question 24

An airline wants to monitor the performance of their baggage handling crew on the daily flight from Syracuse to Boston that is always filled to its 140 passenger capacity. They track the number of passengers that lose bags each flight for a two week period. The data are displayed in the following table.


-Calculate $\sigma$ _P, the mean percent defective for all samples collected.

A)0.0148
B)0.0760
C)0.2844
D)0.0316
E)0.0000

Question 25

An airline wants to monitor the performance of their baggage handling crew on the daily flight from Syracuse to Boston that is always filled to its 140 passenger capacity. They track the number of passengers that lose bags each flight for a two week period. The data are displayed in the following table.


-Calculate the upper control limit for the chart, using z = 3.

A)0.0148
B)0.0760
C)0.2844
D)0.0316
E)0.0000

Question 26

An airline wants to monitor the performance of their baggage handling crew on the daily flight from Syracuse to Boston that is always filled to its 140 passenger capacity. They track the number of passengers that lose bags each flight for a two week period. The data are displayed in the following table.


-Calculate the lower control limit for the chart, using z = 3.

A)0.0148
B)0.0760
C)0.2844
D)0.0316
E)0.0000

Question 27

An insurance company auditor takes eight samples of 250 completed forms to establish control limits for the fraction of insurance policy forms that are filled out incorrectly. The data appear in this table:


-Calculate , the mean percent defective for all samples collected.

A)0.0129
B)10.875
C)0.0435
D)3.29
E)0.00

Question 28

An insurance company auditor takes eight samples of 250 completed forms to establish control limits for the fraction of insurance policy forms that are filled out incorrectly. The data appear in this table:


-Calculate $\sigma$ _P, the mean percent defective for all samples collected.

A)0.0129
B)10.875
C)0.0435
D)3.29
E)0.00

Question 29

An insurance company auditor takes eight samples of 250 completed forms to establish control limits for the fraction of insurance policy forms that are filled out incorrectly. The data appear in this table:


-Calculate the upper control limit for the chart, using z = 3.

A)0.0564
B)20.76
C)14.17
D)0.0822
E)0.0000

Question 30

An insurance company auditor takes eight samples of 250 completed forms to establish control limits for the fraction of insurance policy forms that are filled out incorrectly. The data appear in this table:


-Calculate the lower control limit for the chart, using z = 3.

A)0.0306
B)0.0900
C)7.57
D)0.0000
E)0.0048

Question 31

Forty samples of 100 are taken, with the total number of defective units being 150.

-Calculate " , the mean percent defective for all samples collected.

A)0.0375
B)0.0190
C)0.0945
D)0.0000
E)0.0150

Question 32

Forty samples of 100 are taken, with the total number of defective units being 150.

-Calculate $\sigma$ _P, the mean percent defective for all samples collected.

A)0.0375
B)0.0190
C)0.0945
D)0.0000
E)0.0150

Question 33

Forty samples of 100 are taken, with the total number of defective units being 150.

-Calculate the upper control limit for the chart, using z = 3.

A)0.0375
B)0.0190
C)0.0945
D)0.0000
E)0.0150

Question 34

Forty samples of 100 are taken, with the total number of defective units being 150.

-Calculate the lower control limit for the chart, using z = 3.

A)0.0375
B)0.0190
C)0.0945
D)0.0000
E)0.0150

Question 35

A cell phone manufacturer inspects the video display on each color phone to verify that the screen can display all colors with the brilliance their customers have come to expect. Each phone is turned on, run through a self-test procedure, and classified as either acceptable or unacceptable based on test performance. Based on historical data, the manufacturer produces 0.1 percent defective displays. If they inspect 5000 phones each day for the next 10 days, what are the upper and lower control limits for their three sigma control chart if their sample mean mirrors their historical process average?

A)0.0002, 0.0001
B)0.0142, 0.0058
C)0.0127, 0.0058
D)0.0023, 0.0000
E)0.0000, 0.0000

Question 36

Oliver's pizza shop tracks customer complaints every day and then follows up with their customers to resolve problems. For the past 30 days, they received a total of 127 various complaints from unhappy customers.

-Calculate " , the mean errors ( also the sample variance).

A)10 mistakes
B)127 mistakes
C)4.23 mistakes
D)2.06 mistakes
E)Need additional information to calculate

Question 37

Oliver's pizza shop tracks customer complaints every day and then follows up with their customers to resolve problems. For the past 30 days, they received a total of 127 various complaints from unhappy customers.

-Calculate the sample standard deviation for the C chart

A)10 mistakes
B)127 mistakes
C)4.23 mistakes
D)2.06 mistakes
E)Need additional information to calculate

Question 38

Oliver's pizza shop tracks customer complaints every day and then follows up with their customers to resolve problems. For the past 30 days, they received a total of 127 various complaints from unhappy customers.

-Calculate the upper control limits for the C chart using z = 3

A)4.23
B)2.06
C)10
D)0.00
E)10.41

Question 39

Oliver's pizza shop tracks customer complaints every day and then follows up with their customers to resolve problems. For the past 30 days, they received a total of 127 various complaints from unhappy customers.

-Calculate the lower control limits for the C chart using z = 3

A)4.23
B)2.06
C)10
D)0.00
E)10.41

Question 40

Over a 10-day period, an outdoor light post manufacturer has counted the number of units not meeting design specifications. The findings are shown below.


-Calculate " for the C chart

A)56
B)5.6
C)7.48
D)2.37
E)Need additional information to calculate

Question 41

Over a 10-day period, an outdoor light post manufacturer has counted the number of units not meeting design specifications. The findings are shown below.


-Calculate the sample standard deviation for the C chart

A)56
B)5.6
C)7.48
D)2.37
E)Need additional information to calculate

Question 42

Over a 10-day period, an outdoor light post manufacturer has counted the number of units not meeting design specifications. The findings are shown below.


-Calculate the upper control limits for the C chart using z = 3

A)12.7
B)1.49
C)0.00
D)2.37
E)7.97

Question 43

Over a 10-day period, an outdoor light post manufacturer has counted the number of units not meeting design specifications. The findings are shown below.


-Calculate the lower control limits for the C chart using z = 3

A)12.7
B)1.49
C)0.00
D)2.37
E)7.97

Question 44

Boyd Tooling has an automated drilling machine and the owners want to determine the equipment's capability for machining a part's diameter to a specification of 0.350 ± 0.004 inches. After a trial run period, the lathe produced a sample mean of 0.351 inches, with a standard deviation of 0.0009 inch. Calculate the C_pk for this drilling machine.

A)1.48
B)0.83
C)1.33
D)1.00
E)1.85

Question 45

Zimken Bearings has been making a special type of bearing with a diameter of 0.8 inches and a standard deviation of 0.004 inches. A new customer has a design requirement for a bearing with a diameter specification of 0.79 inches and a tolerance of ± 0.02 inches. Determine the C_pk.

A)2.66
B)1.16
C)1.33
D)1.00
E)4.00

Question 46

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, Determine the C_pk.

A)1.11
B)2.33
C)1.33
D)1.00
E)1.67

Question 47

The regional manager of a drive-thru restaurant is using statistical quality control on a new beverage, and first develops an chart to see whether he is achieving the goal of 44 ounces. He calculates his center line using this data and arrives at the value 45.03. "Not ideal," he muses, "but at least the customers won't complain. If I were consistently delivering less than 44 ounces, I'd probably have a lawsuit on my hands. The and R charts both look good, and my calculations indicate a process standard deviation of 3.08. The process engineers have designed our drink process with an upper tolerance of 46 ounces and a lower tolerance of 42 ounces. I wonder what our process capability really is? I've been reading about Six Sigma, it would be fantastic if we could add that to our already fantastic slogan regarding this new beverage!". Calculate the C_pk.

A)0.10
B)0.33
C)1.33
D)1.00
E)0.22

Question 48

Number of defects = 750; opportunities for a defect to occur = 5; number of units = 16,000

-Calculate the defects per million opportunities, DPMO.

A)1,067
B)4,167
C)9,375
D)42,667
E)24,000

Question 49

Number of defects = 750; opportunities for a defect to occur = 5; number of units = 16,000

-What is the Six Sigma operating level?

A)Better than 3.5
B)Better than 4
C)Better than 4.5
D)Better than 5
E)Better than 5.5

Question 50

Number of defects = 750; opportunities for a defect to occur = 5; number of units = 16,000

-Calculate the defects per million opportunities, DPMO.

A)86,275
B)115,908
C)113,985
D)9,748
E)1,026

Question 51

Number of defects = 750; opportunities for a defect to occur = 5; number of units = 16,000

-What is the Six Sigma operating level?

A)Better than 5.5
B)Better than 3.5
C)Better than 4.5
D)Better than 5
E)Better than 4

Question 52

Number of defects = 8,100; opportunities for a defect to occur = 22; number of units = 125,000

-Calculate the defects per million opportunities, DPMO.

A)7,015
B)2,945
C)217
D)340
E)46,022

Question 53

Number of defects = 8,100; opportunities for a defect to occur = 22; number of units = 125,000

-What is the Six Sigma operating level?

A)Better than 6
B)Better than 5.5
C)Better than 4.5
D)Better than 5
E)Better than 4

Question 54

Number of defects = 1,201; opportunities for a defect to occur = 18; number of units = 1,000

-Calculate the defects per million opportunities, DPMO.

A)22,750
B)14,988
C)149,875
D)66,722
E)463

Question 55

Number of defects = 1,201; opportunities for a defect to occur = 18; number of units = 1,000

-What is the Six Sigma operating level?

A)Better than 3
B)Better than 3.5
C)Better than 4.5
D)Better than 5
E)Better than 4

Question 56

Number of defects = 4,795; opportunities for a defect to occur = 315; number of units = 1,650,000

-Calculate the defects per million opportunities, DPMO.

A)251,167
B)10,924
C)1,084
D)398
E)9

Question 57

Number of defects = 4,795; opportunities for a defect to occur = 315; number of units = 1,650,000

-What will be your best choice for the Six Sigma operating level?

A)Better than 4.5
B)Better than 3.5
C)Better than 5.5
D)Better than 5
E)Better than 4

Question 58

A product has 175 parts, the company has produced 15,000 units, and so far, they have had 1,250 customer complaints about quality.

-What is the company's probable DPMO?

A)476
B)2,100
C)93,333
D)10,714
E)686

Question 59

A product has 175 parts, the company has produced 15,000 units, and so far, they have had 1,250 customer complaints about quality.

-What will be your best choice for the company's Six Sigma operating level?

A)Better than 6
B)Better than 4.5
C)Better than 5.5
D)Better than 5
E)Better than 4

Question 60

A product has 9 parts, the company has produced 1,500 units, and so far, they have had 700 customer complaints about quality.

-What is the company's probable DPMO?

A)1,167
B)85,714
C)2,381
D)51,852
E)19

Question 61

A product has 9 parts, the company has produced 1,500 units, and so far, they have had 700 customer complaints about quality.

-What will be your best choice for the company's Six Sigma operating level?

A)Better than 6
B)Better than 5.5
C)Better than 3
D)Better than 4.5
E)Better than 4

Question 62

A product has 32 parts, the company has produced 13,250 units, and so far, they have had 7,650 customer complaints about quality.

-What is the company's probable DPMO?

A)18,042
B)541
C)3,157
D)55
E)31,676

Question 63

A product has 32 parts, the company has produced 13,250 units, and so far, they have had 7,650 customer complaints about quality.

-What will be your best choice for the company's Six Sigma operating level?

A)Better than 5.5
B)Better than 5
C)Better than 4
D)Better than 4.5
E)Better than 3.5

Question 64

A product has 6 parts, the company has produced 2,750 units, and so far, they have had 3 customer complaints about quality.

-What is the company's probable DPMO?

A)1,375
B)7,272,727
C)182
D)1,527,778
E)5,500

Question 65

A product has 6 parts, the company has produced 2,750 units, and so far, they have had 3 customer complaints about quality.

-What will be your best choice for the company's Six Sigma operating level?

A)Better than 5.5
B)Better than 5
C)Better than 6
D)Better than 4.5
E)Better than 4

Question 66

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-What is the company's probable DPMO?

A)635
B)3,968
C)35,714
D)15,750
E)28

Question 67

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-What will be your best choice for the company's Six Sigma operating level?

A)Better than 5.5
B)Better than 5
C)Better than 6
D)Better than 4.5
E)Better than 4

Question 68

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When defects per million opportunities (DPMO) is 3.4, the percentage of defect-free output is _______.

A)97.73
B)99.99966
C)69.15
D)93.32
E)84.13

Question 69

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When defects per million opportunities (DPMO) is 158,686, the percentage of defect-free output is _______.

A)97.73
B)99.99966
C)69.15
D)93.32
E)84.13

Question 70

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the sigma level is 3, the percentage of defect-free output is _______.

A)97.73
B)99.99966
C)69.15
D)93.32
E)84.13

Question 71

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the sigma level is 2, the percentage of defect-free output is _______.

A)97.73
B)99.99966
C)69.15
D)93.32
E)84.13

Question 72

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When defects per million opportunities (DPMO) is 22.750, the sigma level is _______.

A)3
B)3.5
C)4
D)4.5
E)5

Question 73

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When defects per million opportunities (DPMO) is 233, the sigma level is _______.

A)3
B)3.5
C)4
D)4.5
E)5

Question 74

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the percentage of defect-free output is 99.38, the sigma level is _______.

A)3
B)3.5
C)4
D)4.5
E)5

Question 75

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the percentage of defect-free output is 84.13, the sigma level is _______.

A)3
B)3.5
C)4
D)2.5
E)5

Question 76

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the percentage of defect-free output is 99.9968, the defects per million opportunities is _______.

A)22,750
B)1,350
C)32
D)6,210
E)3.4

Question 77

A company currently produced 750,000 units, with a total defect level of 6,300. Each unit has a potential of 300 defects.

-When the percentage of defect-free output is 99.865, the defects per million opportunities is _______.

A)22,750
B)1,350
C)32
D)6,210
E)3.4

Question 78

Number of defects = 350; opportunities for a defect to occur = 10; number of units = 1,000

-Calculate the defects per million opportunities, DPMO.

A)35,000.
B)2,857
C)28,571.
D)35,000
E)28,571

Question 79

Number of defects = 350; opportunities for a defect to occur = 10; number of units = 1,000

-What is the Six Sigma operating level?

A)Better than 3.5
B)Better than 3
C)Better than 4.5
D)Better than 5
E)Better than 4

Question 80

Number of defects = 350; opportunities for a defect to occur = 10; number of units = 1,000

-To achieve a sigma level of 4.5, what would be the number of defects?

A)1
B)62
C)228
D)2
E)14