Green Belt Test Paper.docx
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Green Belt Test Paper.docx
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GreenBeltTestPaper
Thedatasetsarelocatedonpage17.ThealphanumericornumericreferencesinparenthesesfollowingeachquestionarethepagenumberintheGEDMAICBookofKnowledge.Forexample,(4.109)referencesStep4,page109.
Define(Questions1–10)
1.TheProcess/productdrill-downtreehelpsyouto(A.9)
a.HowCTQsarelinkedtovitalx's
b.DeterminehowCustomerCTQsbecomeprojectCTQs
c.Decideuponyourimprovementstrategy
d.DesignyourDOE
2.Thefirstelementoftheteamcharteristo(B.3)
a.Establishthebusinesscase
b.Choosetheteammembers
c.Evaluatepossibleimprovementinitiatives
d.DesigntheDOE
3.Indefiningateam,youshouldalwaysdefine(B.3)
a.Roles,responsibilities,andsalaries
b.Roles,andsupervisoryinput
c.Responsibilities,andreportingstructure
d.Roles,responsibilities,andexpectations
4.Thepreliminarygoalstatementdefines(B.5)
a.Inbroadterms,themeasurableimprovementobjective
b.Thedollarbenefitsoftheproject
c.TheDPMOimprovementrequired
d.Thesigmascoreexpecteduponprojectcompletion
5.Thepartofteamcharterdevelopment,whichdefinesandplacesboundariesontheprocessis(B.11)
a.Thebusinesscase
b.Thegoalstatement
c.Definingteamroles
d.Assessingtheprojectscope
6.Thecontentsofthehigh-levelprocessmapinclude:
(C.3)
a.Customerrequirements,Outputs,ProcessSteps,Cost,Supplier
b.Customerrequirements,Outputs,ProcessSteps,Inputs,Suppliers
c.Schedulefactors,Outputs,Processsteps,Inputs,Suppliers
d.Noneoftheabove
7.
Thepurposeofaprocessmapis(C.5)
a.Tocreateasharedviewoftheprocessandhelpidentifykeyinputs
b.Toprovideastructureforfindingthecausesofaneffect
c.Toidentifywaysasub-processorproductcharacteristiccanfail
d.Alloftheabove
8.WhatistheARMImodelusedfor(C.7)
a.Toensuretheteamhasidentifiedcriticalpeoplewithrespecttotheproject
b.Helpstheteamidentifythreatsandopportunities
c.Helpstoformtheteam
d.Identifieswhatproblemstoaddressfirstwithrespecttotheteam
9.WhatCAPtoolisusedtosetthescopeofaproject?
(C.9)
a.GRPI
b.In/OutoftheFrame
c.ARMI
d.Threatvs.OpportunityMatrix
10.TheCAPtoolGRPIisusedto(C.13)
a.Definethescopeoftheproject
b.Challengeteamstoconsiderinterrelatedaspectsofteamwork
c.Monitorteamsprogress
d.Identifykeystakeholders
Measure(Questions11–27)
11.ThepurposeofaQFDisto(1.6)
a.RelatethecustomerCTQtomeasurablesub-processesorproductcharacteristics
b.Tocreateasharedviewoftheprocess
c.Toprovideastructureforfindingthecausesofaneffect
d.Toprovideaquantitativeviewusedtoidentifyafocusarea
12.IntheMeasurephase,oneofthethingsyoudois(1.1)
a.Developateamcharter
b.EstablishProcessCapability
c.Defineperformancestandards
d.Defineperformanceobjectives
13.InaQFD,whoprioritizesthecustomers’needs?
(1.23)
a.Across-functionalteamofyouandthecustomer
b.Theprojectteam
c.Thestakeholderwhohastopayfortheimprovements
d.Thecustomer
14.
WhatiswrongwiththeQFDbelow?
(1.26)
Characteristics/Measures
CompetitiveComp.
Needs
Rating
AccessSpeed
Cost
FailureRate
Faster
10
9
Cheaper
4
1.00
9
Better
3
Reliable
7
3
9
Importance
115
36
63
0
0
a.ACTQtomeasurethecustomerneedof“Better”ismissing
b.TheImportanceoftheCTQ“AccessSpeed”shouldbe118
c.ThetargetsandspecificationsoftheCTQsaremissing
d.ThecorrelationbetweentheCTQsandtheneedsaremissing
15.ThepurposeofaFailureModesandEffectsAnalysis(FMEA)is(1.54)
a.Toprovideaquantitativeviewusedtoidentifyafocusarea
b.RelatesthecustomerCTQtomeasurablesub-processesorproductcharacteristics
c.Toidentifywaysasub-processorproductcharacteristiccanfail
d.Tocreateasharedviewoftheprocess
16.InaFMEA,whatistheRPN?
(1.61)
a.TheproductoftheSeverity,Occurrences,andDetectionnumbers
b.ThesumoftheSeverity,Occurrences,andDetectionnumbers
c.ProbabilityofmakingaTypeIerror
d.ProbabilityofmakingaTypeIIerror
17.Foratestwitha90-minutetimelimitandaminimumpassinggradeof70%,whichoftheseisanacceptableperformancestandard?
(2.2)
a.Completethefinalexamwithin90minutes,withanacceptablegrade.
b.Scoreatleast70%onthefinalexam
c.Completethefinalexamwithin90minutes,withascoreofatleast70%correct
d.Passthefinalexam
18.
Componentsofagoodperformancestandardinclude(2.4)
a.TargetPerformance
b.OperationalDefinition
c.SpecificationLimits
d.Alloftheabove
19.Whichtermmeansequipmentvariation,orlookingatvariationwithinonecomponentofaprocess?
(3.33)
a.Reproducibility
b.Repeatability
c.Resolution
d.Precision
20.TheimportanceofvalidatingmeasurementsysteminStep3istoensurethemeasurementdoesreflectthetruevariationoftheprocess.(3.1)
a.True
b.False
21.IfyourUSLis100mmandyourLSLis90mm,whatistheminimumacceptableresolutioninyourgage?
(3.17)
a.0.1mm
b.2mm
c.1mm
d.0.5mm
22.Thetermthatreferstotheunitswhichthegageiscapableofmeasuringis(3.17)
a.Accuracy
b.Precision
c.Reproducibility
d.Resolution
23.Ifyourgageexhibitsabiasbuthaslowvariability,youhaveaproblemwithwhat?
(3.22)
a.Linearity
b.Precision
c.Resolution
d.Accuracy
24.UsingdatasetD,withatoleranceof10,whatisthepercentcontributionofthegageusingtheANOVAmethod?
(3.58)
25.InthegraphsprovidedinaGageR&R,whatdoesthegraphtitled“XbarChartbyOperator”tellus?
(3.62)
a.Effectiveresolutionofthegage
b.Variabilitywithinoperator
c.Variabilitywithineachpartsforalloperators
d.Ifthereisanysystematicshift
26.IndatasetD,thereisanacceptablemeasurementsysteminplace.(3.61)
a.True
b.False
27.
WhatadditionalinformationdoesoneneedforanAttributeGageR&R?
(3.69)
a.The“Known”truthordispositionofeachpartunderconsideration
b.Thetrainingeachoperatorhashad
c.Thepowerdesiredforthetesttodeterminesamplesize
d.None,thetestiscarriedouttheinthesamemanneraswithcontinuousdata
Analyze(Questions28–62)
28.IntheAnalyzephase,oneofthethingsyoudois(4.1)
a.Defineperformancestandards
b.Establishoperatingtolerancesandpilotsolution
c.EstablishProcessCapability
d.Defineaprocessmap
29.Inanynormalsetofdata,thestandarddeviationis:
(4.14)
a.Thedifferencebetweenthetwopointsofinflection
b.Thedifferencebetweenthemeanandapointofinflection
c.Thesquareofthedifferencebetweeneachmeasurementandthemeandividedbythenumberofsamples
d.Thedifferencebetweenthemeanandmedian
30.Whatisthestatisticusedforcentraltendencywithnormaldata(4.16)
a.IQR—InterquartileRange,Q3–Q1
b.Quartile1,Q1
c.Median
d.Mean
31.
WhatisthestandarddeviationofdatasetA(+0.01)?
(4.17)
32.WhatisthemeanindatasetA(+0.01)(4.17)
33.Whichofthefollowingisameasureofvariation?
(4.21)
a.StandardDeviation
b.ThedifferencebetweenyourUSLandLSL
c.Thecoefficientofvariation
d.Both(a)and(c)
34.Approximatelywhatpercentageofallvaluesinanormaldistributionliewithinonestandarddeviationofthemean?
(4.26)
a.85%
b.76%
c.55%
d.68%
35.TheCoefficientofVariation(CV)isexpressedas(4.21)
a.MeanSquaresError=SST/df(SumofSquaresTotal/DegreesofFreedom)
b.(Stdev/Xbar)*100
c.SumofXi-Xbar
d.SquarerootoftheSumofSquaresBetween(SSB)
36.IfyourUSLis100days,yourmeanis85days,andyourshort-termstandarddeviationis5days,whatisyourZst(+0.1)?
(4.29)
37.IfyourZstis4,yourUSLis50,andyourstandarddeviationis2,whatisyourmean(+0.1)?
(4.29)
38.YouareinAnalyze,Step4.Youmeasureyourprocessanddetermineyourmeanis14.9withastandarddeviationof1.2.YourUSLis17,andyourLSLis13.WhatisyourZbench?
(4.30)
a.1.75
b.1.30
c.1.58
d.3.33
39.ThelineintheboxofaBox&Whiskerplotrepresentsthemean.(4.52)
a.True
b.False
40.
WhatisthemedianindatasetA(+0.1)?
(4.52)
41.ThereevidenceofclusteringindatasetC.(4.55)
a.True
b.False
42.WhatistheAnderson-DarlingP-valuefordatasetA?
(4.73)
43.WhatisthefirstquartileofdatasetC(+0.01)?
(4.94)
44.YourDPMOis326558,whatisyourshort-termZvalue?
(+0.01)(4.104)
45.YourprojectimprovedtheprocessfromaZstof3.1to5.3.WhatwasthereductioninDPMO(+1000)?
(4.104)
46.Youhaveattributedata.Youfound29defectsoutof2000unitswith2qualitycharacteristicsperunit.Whatisyoushort-termZ(+0.001)?
(4.109)
47.Whichofthefollowingisthebestyieldestimatetouseindrivingprocessimprovement?
(4.114)
a.ClassicalYield
b.ThroughputYield
c.FirstTimeYield
d.BenchmarkYield
48.TheZ-shiftisestimatedbythe?
(4.141)
a.SumofSquaresWithin(SSW)
b.SumofSquaresBetween(SSB)
c.SumofSquaresResidual(SSR)
d.SumofSquaresTotal(SST)
49.Long-Termvarianceisestimatedbythe?
(4.142)
a.SumofSquaresWithin(SSW)
b.SumofSquaresBetween(SSB)
c.SumofSquaresResidual(SSR)
d.SumofSquaresTotal(SST)
50.
Thebestthatourprocesscanachieveusingcurrenttechnologyiscalledthe(4.159)
a.Baseline
b.Entitlement
c.Sigmavalue
d.Benchmark
51.Thebest-in-classpracticesandstandardsagainstwhichyoucompareyourselfisthe(5.5)
a.
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