Managing Quality: Integrating the Supply Chain, 5e<\/i><\/b> (Foster)<\/b><\/p>\n
Chapter 11 Statistically Based Quality Improvement for Variables<\/b><\/p>\n
1) ________ is a decision-making skill demonstrated by the ability to draw conclusions based on data.<\/p>\n
A) Data interlinking<\/p>\n
B) Process benchmarking<\/p>\n
C) Rational subgrouping<\/p>\n
D) Statistical thinking<\/p>\n
E) Qualitative modeling<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
2) ________ is based on the concept that all work occurs in a system of interconnected processes.<\/p>\n
A) Statistical thinking<\/p>\n
B) Qualitative modeling<\/p>\n
C) Process benchmarking<\/p>\n
D) Rational subgrouping<\/p>\n
E) Data interlinking<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
3) Producer’s risk is also called a ________ error.<\/p>\n
A) type I<\/p>\n
B) non-response<\/p>\n
C) type II<\/p>\n
D) processing<\/p>\n
E) response<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
4) Consumer’s risk is also called a ________ error.<\/p>\n
A) processing<\/p>\n
B) non-response<\/p>\n
C) type II<\/p>\n
D) response<\/p>\n
E) type I<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
5) ________ is the probability that a good product will be rejected.<\/p>\n
A) Retailer’s risk<\/p>\n
B) Consumer’s risk<\/p>\n
C) Manufacturer’s risk<\/p>\n
D) Management’s risk<\/p>\n
E) Producer’s risk<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
6) ________ is the probability that a nonconforming product will be available for sale.<\/p>\n
A) Producer’s risk<\/p>\n
B) Consumer’s risk<\/p>\n
C) Retailer’s risk<\/p>\n
D) Management’s risk<\/p>\n
E) Manufacturer’s risk<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
7) ________ happens when statistical quality analysis fails to result in the scrapping or reworking of a defective product.<\/p>\n
A) Management’s risk<\/p>\n
B) Producer’s risk<\/p>\n
C) Manufacturer’s risk<\/p>\n
D) Retailer’s risk<\/p>\n
E) Consumer’s risk<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
8) ________ variation is centered on a mean and occurs with a somewhat consistent amount of dispersion.<\/p>\n
A) Nonrandom<\/p>\n
B) Specific<\/p>\n
C) Systematic<\/p>\n
D) Abnormal<\/p>\n
E) Random<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
9) Which of the following is true of random variation?<\/p>\n
A) It has a cause that can be identified.<\/p>\n
B) It can be easily controlled.<\/p>\n
C) It occurs with a somewhat consistent amount of dispersion.<\/p>\n
D) It results in a process that is not repeatable.<\/p>\n
E) It results from a shift in a process mean or some unexpected occurrence.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
10) ________ variation results from some event, such as shift in a process mean or some unexpected occurrence.<\/p>\n
A) Uncontrollable<\/p>\n
B) Nonrandom<\/p>\n
C) Stochastic<\/p>\n
D) Random<\/p>\n
E) Indefinite<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
11) Which of the following is true of nonrandom variation?<\/p>\n
A) It is uncontrollable.<\/p>\n
B) It is centered on a mean.<\/p>\n
C) It occurs with a somewhat consistent amount of dispersion.<\/p>\n
D) It results from a shift in a process mean or some unexpected occurrence.<\/p>\n
E) It results in a process that is repeatable.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
12) Process ________ means that the variation we observe in the process is random variation and not nonrandom variation.<\/p>\n
A) optimization<\/p>\n
B) capability<\/p>\n
C) control<\/p>\n
D) variability<\/p>\n
E) stability<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
13) Process stability means that the variation we observe in the process is ________ variation.<\/p>\n
A) abnormal<\/p>\n
B) specific<\/p>\n
C) random<\/p>\n
D) systematic<\/p>\n
E) nonrandom<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
14) To ensure that processes are stable, data are gathered in ________.<\/p>\n
A) batches<\/p>\n
B) networks<\/p>\n
C) samples<\/p>\n
D) lots<\/p>\n
E) sets<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
15) Which of the following is not one of the alternative names for one hundred percent samples?<\/p>\n
A) screening samples<\/p>\n
B) sorting samples<\/p>\n
C) rectifying samples<\/p>\n
D) detailing samples<\/p>\n
E) stabilizing samples<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
16) ________ is useful because it ensures independence among observations.<\/p>\n
A) Process capability<\/p>\n
B) Optimization<\/p>\n
C) Population distribution<\/p>\n
D) Process stability<\/p>\n
E) Randomization<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
17) To ________ means to sample in such a way that every piece of product has an equal chance of being selected for inspection.<\/p>\n
A) randomize<\/p>\n
B) optimize<\/p>\n
C) stabilize<\/p>\n
D) rectify<\/p>\n
E) modify<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
18) Samples can be ________ according to time or according to sequence.<\/p>\n
A) random<\/p>\n
B) uncontrollable<\/p>\n
C) indefinite<\/p>\n
D) systematic<\/p>\n
E) stochastic<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
19) A ________ subgroup is a group of data that is logically homogeneous.<\/p>\n
A) primary<\/p>\n
B) rational<\/p>\n
C) process<\/p>\n
D) variable<\/p>\n
E) stable<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
20) Variation within the data in a ________ subgroup can provide a yardstick for computing limits on the standard variation between subgroups.<\/p>\n
A) process<\/p>\n
B) variable<\/p>\n
C) primary<\/p>\n
D) stable<\/p>\n
E) rational<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
21) ________ are tools for monitoring process variation.<\/p>\n
A) Pareto charts<\/p>\n
B) Control charts<\/p>\n
C) Histograms<\/p>\n
D) Scatter diagrams<\/p>\n
E) Cause-and-effect diagrams<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
22) A(n) ________ is a continuous measurement such as weight, height, or volume.<\/p>\n
A) variable<\/p>\n
B) attribute<\/p>\n
C) paradigm<\/p>\n
D) criterion<\/p>\n
E) element<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
23) A(n) ________ is an either-or-situation resulting from a binomial process.<\/p>\n
A) variable<\/p>\n
B) paradigm<\/p>\n
C) criterion<\/p>\n
D) attribute<\/p>\n
E) element<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
24) Which of the following is an example of a variables chart?<\/p>\n
A) u<\/i> chart<\/p>\n
B) c<\/i> chart<\/p>\n
C) np<\/i> chart<\/p>\n
D) p<\/i> chart<\/p>\n
E) X<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
25) Which of the following is an example of an attributes chart?<\/p>\n
A) s<\/i> chart<\/p>\n
B) R<\/i> chart<\/p>\n
C) p <\/i>chart<\/p>\n
D) MR<\/i> chart<\/p>\n
E) X<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
26) What is the first step in developing process control charts?<\/p>\n
A) identify critical product characteristics<\/p>\n
B) select the appropriate process control chart<\/p>\n
C) determine whether the critical product characteristic is a variable or an attribute<\/p>\n
D) identify critical operations in the process<\/p>\n
E) establish the control limits<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
27) Process population average, mean, range, moving range, and standard deviation are examples of ________.<\/p>\n
A) attributes<\/p>\n
B) variables<\/p>\n
C) elements<\/p>\n
D) criteria<\/p>\n
E) paradigms<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
28) Proportion defective, number defective, number nonconforming in a consistent sample space, and number defects per unit are examples of ________.<\/p>\n
A) criteria<\/p>\n
B) paradigms<\/p>\n
C) elements<\/p>\n
D) variables<\/p>\n
E) attributes<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
29) The ________ is a process chart used to monitor the average of the characteristic being measured.<\/p>\n
A) chart<\/p>\n
B) R<\/i> chart<\/p>\n
C) c<\/i> chart<\/p>\n
D) p<\/i> chart<\/p>\n
E) MR<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
30) The ________ chart is used in monitoring process dispersion.<\/p>\n
A) chart<\/p>\n
B) c<\/i> chart<\/p>\n
C) p<\/i> chart<\/p>\n
D) R<\/i> chart<\/p>\n
E) X<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
31) The chart is a process chart used to monitor the ________ of the characteristic being measured.<\/p>\n
A) range<\/p>\n
B) average<\/p>\n
C) mode<\/p>\n
D) median<\/p>\n
E) standard deviation<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
32) The ________ is the difference between the largest measurement and the smallest measurement in a particular sample.<\/p>\n
A) range<\/p>\n
B) median<\/p>\n
C) mode<\/p>\n
D) standard deviation<\/p>\n
E) mean<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
33) What is the lower limit of R <\/i>for sample sizes less than or equal to six?<\/p>\n
A) -1<\/p>\n
B) 6<\/p>\n
C) 0<\/p>\n
D) -6<\/p>\n
E) 1<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
34) In a variables control chart, which of the following is likely to occur if two points in succession are farther than two standard deviations from the mean?<\/p>\n
A) erratic behavior<\/p>\n
B) nonrandom event<\/p>\n
C) process drift<\/p>\n
D) natural variation<\/p>\n
E) process run<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
35) In a variables control chart, which of the following is likely to occur if five points are in succession, either all above or below the center line?<\/p>\n
A) erratic behavior<\/p>\n
B) nonrandom event<\/p>\n
C) process drift<\/p>\n
D) natural variation<\/p>\n
E) process run<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
36) In a variables control chart, which of the following is likely to occur if seven points, either increasing or decreasing, are in succession?<\/p>\n
A) erratic behavior<\/p>\n
B) nonrandom event<\/p>\n
C) process drift<\/p>\n
D) natural variation<\/p>\n
E) process run<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
37) In a variables control chart, which of the following is likely to occur if large jumps of more than three or four standard deviations take place?<\/p>\n
A) erratic behavior<\/p>\n
B) nonrandom event<\/p>\n
C) process drift<\/p>\n
D) natural variation<\/p>\n
E) process run<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
38) A ________ is used when data are geometrically distributed.<\/p>\n
A) p<\/i> chart<\/p>\n
B) u <\/i>chart<\/p>\n
C) c <\/i>chart<\/p>\n
D) h <\/i>chart<\/p>\n
E) g <\/i>chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
39) A(n) ________ is used when data are hypergeometrically distributed.<\/p>\n
A) p<\/i> chart<\/p>\n
B) u<\/i> chart<\/p>\n
C) c <\/i>chart<\/p>\n
D) h <\/i>chart<\/p>\n
E) g <\/i>chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
40) The ________ reflects a population distribution.<\/p>\n
A) p<\/i> chart<\/p>\n
B) s<\/i> chart<\/p>\n
C) u<\/i> chart<\/p>\n
D) X<\/i> chart<\/p>\n
E) R<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
41) Although charts generally are preferred for variables data, sometimes it is too time consuming or inconvenient to compute subgroup averages. In these cases, a(n) ________ is used.<\/p>\n
A) chart<\/p>\n
B) X<\/i> chart<\/p>\n
C) p<\/i> chart<\/p>\n
D) s<\/i> chart<\/p>\n
E) R<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
42) The ________ is often used where variation in a process is small.<\/p>\n
A) s<\/i> chart<\/p>\n
B) X<\/i> chart<\/p>\n
C) np<\/i> chart<\/p>\n
D) u<\/i> chart<\/p>\n
E) c<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
43) ________ are often used in monitoring the production of silicon chips for computers.<\/p>\n
A) X<\/i> charts<\/p>\n
B) c<\/i> charts<\/p>\n
C) np<\/i> charts<\/p>\n
D) R<\/i> charts<\/p>\n
E) s<\/i> charts<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
44) The ________ is used for monitoring variables and measurement on a continuous scale.<\/p>\n
A) cusum chart<\/p>\n
B) c<\/i> chart<\/p>\n
C) X<\/i> chart<\/p>\n
D) np<\/i> chart<\/p>\n
E) moving average chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
45) The ________ uses past information to predict what the next process outcome will be.<\/p>\n
A) np<\/i> chart<\/p>\n
B) u<\/i> chart<\/p>\n
C) moving average chart<\/p>\n
D) cusum chart<\/p>\n
E) p<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
46) The ________ is used to identify slight but sustained shifts in a universe where there is no independence between observations.<\/p>\n
A) cusum chart<\/p>\n
B) moving average chart<\/p>\n
C) s<\/i> chart<\/p>\n
D) np<\/i> chart<\/p>\n
E) R<\/i> chart<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
Use the following table to answer the question(s) below.<\/b><\/p>\n
47) A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25″. He obtains 8 samples of 5 and records the data in the table above. What should the center line be for a chart that monitors process dispersion?<\/p>\n
A) 0.50<\/p>\n
B) 0.55<\/p>\n
C) 0.60<\/p>\n
D) 0.69<\/p>\n
E) 0.80<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
48) A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25″. He obtains 8 samples of 5 and records the data in the table above. What should the center line be for a chart that monitors process average?<\/p>\n
A) 4.58<\/p>\n
B) 4.66<\/p>\n
C) 4.73<\/p>\n
D) 4.78<\/p>\n
E) 4.82<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
49) A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25″. He obtains 8 samples of 5 and records the data in the table above. What should the lower and upper control limits be for an X<\/i>-bar chart?<\/p>\n
A) (5.00, 8.00)<\/p>\n
B) (-1.50, 1.50)<\/p>\n
C) (4.33, 5.12)<\/p>\n
D) (0.00, 1.45)<\/p>\n
E) (-5.10, 5.10)<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
50) A machine shop owner wishes to monitor the diameter of an engine boring operation where the piston bore should be 4.25″. He obtains 8 samples of 5 and records the data in the table above. What should the upper and lower control limits be for an R<\/i> chart?<\/p>\n
A) (5.00, 8.00)<\/p>\n
B) (0.00, 2.50)<\/p>\n
C) (4.33, 5.12)<\/p>\n
D) (0.00, 1.45)<\/p>\n
E) (-5.10, 5.10)<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
Use the following table to answer the question(s) below.<\/b><\/p>\n
51) Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner records the data in the table above. What are the lower and upper limits for a chart that will monitor process dispersion?<\/p>\n
A) (0.00, 1.85)<\/p>\n
B) (0.00, 2.11)<\/p>\n
C) (0.00, 2.28)<\/p>\n
D) (0.00, 1.03)<\/p>\n
E) (0.00, 1.45)<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
52) Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner finds himself with the data in the table above. What are the lower and upper limits for a chart that will monitor process average?<\/p>\n
A) (99.68, 100.36)<\/p>\n
B) (99.56, 100.21)<\/p>\n
C) (99.41, 100.59)<\/p>\n
D) (99.38, 100.82)<\/p>\n
E) (99.99, 100.01)<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
53) Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner finds himself with the data in the table above. What is the center line for a chart that will monitor process dispersion?<\/p>\n
A) 0.45<\/p>\n
B) 0.30<\/p>\n
C) 0.00<\/p>\n
D) 0.75<\/p>\n
E) cannot be determined from the information given<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
54) Close tolerances are required in the manufacturing section of an automotive parts business. Since the customers demand quality, the owner wants to monitor the operation closely using statistical process control. After taking 8 samples of size 4, the owner finds himself with the data in the table above. What is the center line for a chart that will monitor process average?<\/p>\n
A) 100.20<\/p>\n
B) 102.00<\/p>\n
C) 99.88<\/p>\n
D) 98.00<\/p>\n
E) cannot be determined from the information given<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
55) ________ refers to the ability of a process to produce a product that meets specifications.<\/p>\n
A) Process stability<\/p>\n
B) Process attribute<\/p>\n
C) Process variability<\/p>\n
D) Process capability<\/p>\n
E) Process conformance<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
56) World-class levels of process capability are measured by ________ defect levels.<\/p>\n
A) parts per million<\/p>\n
B) parts per hundred thousand<\/p>\n
C) parts per ten thousand<\/p>\n
D) parts per thousand<\/p>\n
E) parts per hundred<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
57) The diameter of a mason jar is 3 inches but can be as large as 3.03 inches and as small as 2.97 inches. Twenty-five samples of mason jars are taken and it is discovered that these components have a grand mean of 3.01 inches and a standard deviation of 0.02 inches. What is the probability of producing a bad product?<\/p>\n
A) 0.60<\/p>\n
B) 0.18<\/p>\n
C) 0.32<\/p>\n
D) 0.45<\/p>\n
E) 0.84<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
58) A 50 volt battery must be between 55 and 45 volts when it leaves the factory. Two hundred samples of batteries have yielded the following data: average charge of 49 volts with a standard deviation of 2.5 volts. What is the process capability?<\/p>\n
A) 0.06<\/p>\n
B) 0.80<\/p>\n
C) 0.53<\/p>\n
D) 0.12<\/p>\n
E) 0.38<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
59) A 50 volt battery must be between 55 and 45 volts when it leaves the factory. Two hundred samples of batteries have yielded the following data: average charge of 49 volts with a standard deviation of 2.5 volts. What is the probability of producing an out-of-spec battery?<\/p>\n
A) 0.06<\/p>\n
B) 0.80<\/p>\n
C) 0.53<\/p>\n
D) 0.12<\/p>\n
E) 0.32<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
60) The diameter of a mason jar is 3 inches but can be as large as 3.03 inches and as small as 2.97 inches. Twenty five samples of mason jars are taken and it is discovered that these components have a grand mean of 3.01 inches and a standard deviation of 0.02 inches. What is the capability of this process?<\/p>\n
A) 0.08<\/p>\n
B) 0.16<\/p>\n
C) 0.33<\/p>\n
D) 0.49<\/p>\n
E) 0.66<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
61) The upper and lower specifications for metal head plates are 50.1 cm. A sample of the metal head plates in 25 undergraduates yields a mean of 5.05. We know that the population standard deviation is 0.04. What is the population capability index?<\/p>\n
A) 2.15<\/p>\n
B) 2.51<\/p>\n
C) 1.25<\/p>\n
D) 1.52<\/p>\n
E) 0.42<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
62) The upper and lower specifications for metal head plates are 50.1 cm. A sample of the metal head plates in 25 undergraduates yields a mean of 5.05. What is the population standard deviation if the population capability index is 1.666?<\/p>\n
A) 0.01<\/p>\n
B) 0.02<\/p>\n
C) 0.03<\/p>\n
D) 0.04<\/p>\n
E) 0.05<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
63) Statistical thinking is a decision-making skill demonstrated by the ability to draw conclusions based on data.<\/p>\n
Answer:<\/p>\n
Topic: Process Capability for Variables<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
64) Statistical thinking is based on the concept that understanding variation and increasing variation are important keys to success.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
65) Statistical tools are deemed to fail because people have a poor understanding of the scientific method.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
66) Statistical tools focus on causes rather than effects.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
67) In the study of quality, Type I error is called consumer’s risk.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
68) Producer’s risk is the probability that a nonconforming product will be available for sale.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
69) Consumer’s risk happens when statistical quality analysis fails to result in the scrapping or reworking of a defective product.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
70) Nonrandom variation is centered on a mean and occurs with a consistent amount of dispersion.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
71) Random variation is also referred to as uncontrollable variation.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
72) Random variation results from an event such as a shift in a process mean or some unexpected occurrence.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
73) Nonrandom variation results in a process that is not repeatable.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
74) Process stability means that the variation observed in the process is nonrandom variation and not random variation.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
75) Process charts are graphs designed to signal process workers when nonrandom variation is occurring in a process.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
76) One hundred percent samples are also known as screening samples.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
77) If a systematic sample is performed according to sequence, the product is inspected at regular intervals of time.<\/p>\n
Answer:<\/p>\n
Topic: Statistical Fundamentals<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
78) Statistical process control charts are tools for monitoring process variation.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
79) An attribute is a continuous measurement such as weight, height, or volume.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
80) X<\/i> chart is an example of a variables chart.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
81) The first step in developing process control charts is to identify critical product characteristics.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
82) The central limit theorem states that when we plot the sample means, the sampling distribution approximates a normal distribution.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
83) The R<\/i> chart is a process chart used to monitor the average of the characteristic being measured.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
84) The lower limit of R <\/i>is zero for sample sizes less than or equal to six.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
85) In a variables control chart, five points in succession are called a process run.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
86) In a variables control chart, large jumps of more than three or four standard deviations result in process drift.<\/p>\n
Answer:<\/p>\n
Topic: Process Control Charts<\/p>\n
Learning Outcome: Apply basic statistical process control (SPC) methods<\/p>\n
87) A g<\/i> chart is useful when data are hypergeometrically distributed.<\/p>\n
Answer:<\/p>\n
Topic: Process C<\/p>\n","protected":false},"excerpt":{"rendered":"
Managing Quality: Integrating the Supply Chain, 5e (Foster) Chapter 11 Statistically Based Quality Improvement for Variables 1) ________ is a decision-making skill demonstrated by the ability to draw conclusions based on data. A) Data interlinking B) Process benchmarking C) Rational subgrouping Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-49551","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/49551","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/comments?post=49551"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/49551\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=49551"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=49551"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=49551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}