质量管理第六版英文教辅 chapter 11

ManagingQuality:IntegratingtheSupplyChain,6e(Foster)Chapter11StatisticallyBasedQualityImprovementforVariables1)isadecision-makingskilldemonstratedbytheabilitytodrawconclusionsbasedondata.DatainterlinkingProcessbenchmarkingRationalsubgroupingStatisticalthinkingQualitativemodelingAnswer:DDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:Concept2)isbasedontheconceptthatallworkoccursinasystemofinterconnectedprocesses.StatisticalthinkingQualitativemodelingProcessbenchmarkingRationalsubgroupingDatainterlinkingAnswer:ADiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:Concept3)Producer'sriskisalsocalledaerror.typeInon-responsetypeIIprocessingresponseAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptStatisticaltoolsfocusoncausesratherthaneffects.Answer:FALSEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptInthestudyofquality,TypeIerroriscalledconsumer'srisk.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptProducer'sriskistheprobabilitythatanonconformingproductwillbeavailableforsale.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptConsumer'sriskhappenswhenstatisticalqualityanalysisfailstoresultinthescrappingorreworkingofadefectiveproduct.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptProcesschartsaregraphsdesignedtosignalprocessworkerswhennonrandomvariationisoccurringinaprocess.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptOnehundredpercentsamplesarealsoknownasscreeningsamples.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptIfasampleissystematicaccordingtotime,theproductisinspectedatregularintervalsoftime.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptThecusumchartisusedformonitoringvariablesandmeasurementonacontinuousscale.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptThemovingaveragechartusespastinformationtopredictwhatthenextprocessoutcomewillbe.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptControlchartlimitsshouldbeupdatedonlywhenthereisachangetotheprocess.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptProcessstabilityreferstotheabilityofaprocesstoproduceaproductthatmeetsspecification.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptWorld-classlevelsofprocesscapabilityaremeasuredbypartspermilliondefectlevels.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptQualitypractitionersshouldnotcompareprocesschartlimitswithproductspecifications.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptProcessesthatachievecapabilityindexesof1.25areworld-classcapable.Answer:FALSEDiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptAprocessiscapableifonlycommonvariationispresentintheprocess.Answer:FALSEDiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptInterlinkingisusefulinhelpingtoidentifycausalrelationshipsbetweenvariables.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptExplainwhyrandomsamplesaredifficulttoachieveinaproductionenvironment.Answer:Inaprocessindustry,multipleproductsaremadebythesamemachines,workers,andprocessesinsequence.Inthiscase,thereisnostatisticalindependenceamongobservationsbecausetheprocessresultsinorderedproductsthatcanbesubjecttomachinedrift(goingoutofadjustmentslowlyovertime).Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptProcesscontrolrequiresthatdatabegatheredinsamples.Discussrandomsamplingandsystematicsamplingandprovideexamplesofeachsamplingmethod.Answer:Randomsamplingensuresinterdependenceamongobservationsinthateverypieceofproducthasanequalchanceofbeingselectedforinspection.Randomsamplingisthepreferredmethodbutdifficulttoachieve.Productsarerandomlyselectedforinspection.Systematicsamplingisdoneaccordingtotimeorsequence.Exampleswouldbeinspectionseveryhourorinspectionsevery15thproductoffthemanufacturingline.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptWhatisthedifferencebetweenavariableandanattribute?Answer:Avariableisacontinuousmeasurementsuchasweight,height,orvolume.Incontrast,anattributeisaneither-orsituation.Examplesofattributesinclude:Themotoriseitherstartingornotstarting,oreitherthelensisscratchedoritisnot.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:Concept48)variationiscenteredonameanandoccurswithasomewhatconsistentamountofdispersion.NonrandomSpecificSystematicAbnormalRandomAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:Concept49)Whichofthefollowingistrueofrandomvariation?Ithasacausethatcanbeidentified.Itcanbeeasilycontrolled.Itoccurswithasomewhatconsistentamountofdispersion.Itresultsinaprocessthatisnotrepeatable.Itresultsfromashiftinaprocessmeanorsomeunexpectedoccurrence.Answer:CDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:Concept50)variationresultsfromsomeevent,suchasshiftinaprocessmeanorsomeunexpectedoccurrence.UncontrollableNonrandomStochasticRandomIndefiniteAnswer:BDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptWhichofthefollowingistrueofnonrandomvariation?Itisuncontrollable.Itiscenteredonamean.Itoccurswithasomewhatconsistentamountofdispersion.Itresultsfromashiftinaprocessmeanorsomeunexpectedoccurrence.Itresultsinaprocessthatisrepeatable.Answer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptProcessmeansthatthevariationweobserveintheprocessisrandomvariationandnotnonrandomvariation.optimizationcapabilitycontrolvariabilitystabilityAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptProcessstabilitymeansthatthevariationweobserveintheprocessisvariation.abnormalspecificrandomsystematicnonrandomAnswer:CDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptNonrandomvariationiscenteredonameanandoccurswithaconsistentamountofdispersion.Answer:FALSEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptRandomvariationisalsoreferredtoasuncontrollablevariation.Answer:TRUEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptRandomvariationresultsfromaneventsuchasashiftinaprocessmeanorsomeunexpectedoccurrence.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptNonrandomvariationresultsinaprocessthatisnotrepeatable.Answer:TRUEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptProcessstabilitymeansthatthevariationobservedintheprocessisnonrandomvariationandnotrandomvariation.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptWhatisthedifferencebetweenrandomandnonrandomvariation?Answer:Randomvariationiscenteredonameanandoccurswithasomewhatconsistentamountofdispersion.Thistypeofvariationcannotbecontrolled.Hence,werefertoitasnuncontrolledvariation.HNonrandomornspecialcause"variationresultsfromsomeevent.Theeventmaybeashiftinaprocessmeanorsomeunexpectedoccurrence.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.2Demonstratethedifferencesbetweenrandomandnon-randomvariation.AACSB:ApplicationofKnowledgeType:ConceptTheisaprocesschartusedtomonitortheaverageofthecharacteristicbeingmeasured.xchartRchartcchartpchartMRchartAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptThechartisusedinmonitoringprocessdispersion.xchartcchartpchartRchartXchartAnswer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptA(n)isusedwhendataarehypergeometricallydistributed.pchartuchartccharthchartgchartAnswer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptThereflectsapopulationdistribution.pchartschartuchartXchartRchartAnswer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptAlthoughxchartsgenerallyarepreferredforvariablesdata,sometimesitistootimeconsumingorinconvenienttocomputesubgroupaverages.Inthesecases,a(n)isused.A)medianchartXchartpchartschartstandarddeviationchartAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptTheisoftenusedwherevariationinaprocessissmall.schartXchartnpchartuchartcchartAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:Concept66)areoftenusedinmonitoringtheproductionofsiliconchipsforcomputers.XchartscchartsnpchartsRchartsschartsAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptAgchartisusefulwhendataarehypergeometricallydistributed.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptXchartlimitsarecontrollimitsandnotnaturallimits.Answer:FALSEDiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptConsumer'cessingnon-responsetypeIIresponsetypeIAnswer:CDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:Concept5)istheprobabilitythatagoodproductwillberejected.Retailer'sriskConsumer'sriskManufacturersriskManagement'sriskProducer'sriskAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:Concept6)istheprobabilitythatanonconformingproductwillbeavailableforsale.Producer'sriskConsumer'sriskRetailer'sriskManagement'sriskManufacturersriskAnswer:BDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.1Discussthebasicsofprocessvariationandappliedstatisticalmethods.AACSB:ApplicationofKnowledgeType:ConceptIfitistootimeconsumingorinconvenienttocomputesubgroupaverages,amedianchartshouldbeused.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptTheschartisoftenusedwherevariationinaprocessislarge.Answer:FALSEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptDescribethepurposeofanschart.Answer:Theschartorstandarddeviationchartisoftenusedwherevariationinaprocessissmall.Forexample,schartsareoftenusedinmonitoringtheproductionofsiliconchipsforcomputers.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:ConceptDescribexchartsandRcharts.Listanddescribethebasiccomponentsofeach.Answer:Thexchartisaprocesschartusedtomonitortheaverageofthecharacteristicbeingmeasured.TheRchartisusedtomonitorthedispersionoftheprocess.TheRchartisusedinconjunctionwiththexchartwhentheprocesscharacteristicisavariable.Eachcharthasacenterlineindicatingtheprocessaverage,upperandlowercontrollimitsthatareusuallythreestandarddeviationsfromthecenterline,andthegraphicalmeasurementsoftheprocessareplottedonthechart.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.3Implementx,R,X,MR,median,andscharts.AACSB:ApplicationofKnowledgeType:Concept73)aretoolsformonitoringprocessvariation.ParetochartsControlchartsHistogramsScatterdiagramsCause-and-effectdiagramsAnswer:BDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptA(n)isacontinuousmeasurementsuchasweight,height,orvolume.variableattributeparadigmcriterionelementAnswer:ADiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptA(n)isaneither-or-situationresultingfromabinomialprocess.variableparadigmcriterionattributeelementAnswer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptWhichofthefollowingisanexampleofavariableschart?uchartcchartnpchartpchartXchartAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptWhichofthefollowingisanexampleofanattributeschart?schartRchartpchartMRchartXchartAnswer:CDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptWhatisthefirststepindevelopingprocesscontrolcharts?Identifycriticalproductcharacteristics.Selecttheappropriateprocesscontrolchart.Determinewhetherthecriticalproductcharacteristicisavariableoranattribute.Identifycriticaloperationsintheprocess.Establishthecontrollimits.Answer:DDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptProcesspopulationaverage,mean,range,movingrange,andstandarddeviationareexamplesof.attributesvariableselementscriteriaparadigmsAnswer:BDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptProportiondefective,numberdefective,numbernonconforminginaconsistentsamplespace,andnumberdefectsperunitareexamplesof.criteriaparadigmselementsvariablesattributesAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptWhatisthelowerlimitofRforsamplesizeslessthanorequaltosix?16”-6o-1-s16”-6o-1-s\l7\—/nABcDEADiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptTheisusedformonitoringvariablesandmeasurementonacontinuousscale.cusumchartcchartXchartnpchartmovingaveragechartAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptTheusespastinformationtopredictwhatthenextprocessoutcomewillbe.npchartuchartmovingaveragechartcusumchartpchartAnswer:CDiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptTheisusedtoidentifyslightbutsustainedshiftsinauniversewherethereisnoindependencebetweenobservations.cusumchartmovingaveragechartschartnpchartRchartAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptStatisticalprocesscontrolchartsaretoolsformonitoringprocessvariation.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptAnattributeisacontinuousmeasurementsuchasweight,height,orvolume.Answer:FALSEDiff:1LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptXchartisanexampleofavariableschart.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptThefirststepindevelopingprocesscontrolchartsistoidentifycriticalproductcharacteristics.Answer:FALSEDiff:3LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptThecentrallimittheoremstatesthatwhenweplotthesamplemeans,thesamplingdistributionapproximatesanormaldistribution.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptTheRchartisaprocesschartusedtomonitortheaverageofthecharacteristicbeingmeasured.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptThelowerlimitofRiszeroforsamplesizeslessthanorequaltosix.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptWhatarethestepsusedindevelopingprocesscontrolcharts?Answer:Statisticalprocesscontrolcharts(alsoreferredtoasprocesschartsorcontrolcharts)aretoolsformonitoringprocessvariation.Followingarethestepsusedindevelopingprocesscontrolcharts:Identifycriticaloperationsintheprocesswhereinspectionmightbeneeded.Identifycriticalproductcharacteristics.Determinewhetherthecriticalproductcharacteristicisavariableoranattribute.Selecttheappropriateprocesscontrolchartfromamongthemanytypesofcontrolcharts.Establishthecontrollimitsandusethecharttocontinuallymonitorandimprove.Updatethelimitswhenchangeshavebeenmadetotheprocess.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ConceptDesignacontrolcharttomonitorthegasmileageinyourcar.Collectthedataovertime.Answer:Thecontrolchartwouldincludeanx-barchartandanr-chart.Asamplewouldberecordedeverytimeyouboughtgas.Thesampleswouldbecorrelated,notindependent.Thestudentshouldcommentonthis.Diff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.4DevelopcontrolchartsusingExcel.AACSB:ApplicationofKnowledgeType:ApplicationInavariablescontrolchart,whichofthefollowinghaslikelyoccurrediftwopointsinsuccessionarefartherthantwostandarddeviationsfromthemean?erraticbehaviornonrandomeventprocessdriftnaturalvariationprocessrunAnswer:BDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptInavariablescontrolchart,whichofthefollowinghasoccurrediffivepointsareinsuccession,eitherallaboveorbelowthecenterline?erraticbehaviornonrandomeventprocessdriftnaturalvariationprocessrunAnswer:EDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptInavariablescontrolchart,whichofthefollowinghasoccurredifsevenpoints,eitherincreasingordecreasing,areinsuccession?erraticbehaviornonrandomeventprocessdriftnaturalvariationprocessrunAnswer:CDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptInavariablescontrolchart,whichofthefollowingislikelytooccuriflargejumpsofmorethanthreeorfourstandarddeviationstakeplace?erraticbehaviornonrandomeventprocessdriftnaturalvariationprocessrunAnswer:ADiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptInavariablescontrolchart,fivepointsinsuccessionarecalledaprocessrun.Answer:TRUEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptInavariablescontrolchart,largejumpsofmorethanthreeorfourstandarddeviationsresultinprocessdrift.Answer:FALSEDiff:2LearningOutcome:Applybasicstatisticalprocesscontrol(SPC)methodsLO:11.5Interpretcontrolcharts.AACSB:ApplicationofKnowledgeType:ConceptProvidetwoexamplesofprocesschartdatapointinterpretationsthatarenotnecessarilynoutofcontrolHbutwouldstillmeritfurtherinvestigationandhavepotentialforcorrectiveactions.Answer:Therearemanyexamples