《Businessstatistic》复习参考第一章至第八章Word格式文档下载.docx
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7、Mode:
Themostfrequentdata,ordatacorrespondingtothehighestfrequency.
①Modeis
not
affected
byextremevalues.②Theremaynotbeamode.③Theremaybeseveral
modes.④Usedforeithernumericalorcategoricaldata.
8、Medianisthevaluethatsplitsarankedsetofdataintotwoequalparts.
①Medianisnot
affectedbyextremely
largeorsmallvaluesand
istherefore
avaluable
measureofcentral
tendencywhensuchvaluesoccur.
9、StandardDeviation:
①Ameasureof
thevariationofdata
fromthe
mean.
②Themost
commonlyusedmeasureofvariation.
③Representedbythesymbol
.④‘Shows’howthe
dataisdistributedaroundthemean.
10、
Probability
isthechanceofan
occurrenceofanevent.
①Probability
ofanevent
alwaysliesbetween0and1.
②Thesumoftheprobabilitiesofeverypossibleoutcomeor
eventis1.③TheprobabilityofthecomplementA
’is-P(A)given.by1
11、
Propertiesof
Normaldistribution
:
①Continuousrandomvariable.
②‘Bell-shaped’&
symmetrical.
③Mean,median,modeareequal
④Areaunderthecurveis1.
12、
TheCentral
LimitedTheorem:
①Ifthepopulationfollowednormaldistribution,the
samplingdistribution
ofmean
isfollowednormaldistribution.
②Ifthepopulation
donot
followednormaldistribution,butthesamplesizeislargerthan30,thesamplingdistributionofmeanisfollowednormaldistribution.
Part2选择题
Topic1-IntroductiontoBusinessStatistics&
DataCollection
Q1.Theuniverseortotalityofitemsorthingsunderconsiderationiscalled:
a.asample.
b.apopulation.
c.aparameter.
d.noneoftheabove.
Q2.Thosemethodsinvolvingthecollection,presentation,andcharacterizationofasetofdatainordertoproperlydescribethevariousfeaturesofthatsetofdataarecalled:
a.inferentialstatistics.
b.totalqualitymanagement.
c.sampling.
d.descriptivestatistics.
Q3.Theportionoftheuniversethathasbeenselectedforanalysisiscalled:
b.aframe.
d.astatistic.
Q4.Asummarymeasurethatiscomputedtodescribeanumericalcharacteristicfromonlyasampleofthepopulationiscalled:
a.aparameter.
b.acensus.
c.astatistic.
d.thescientificmethod.
Q5.Asummarymeasurethatiscomputedtodescribeacharacteristicofanentirepopulationiscalled:
d.totalqualitymanagement.
Q6.Theprocessofusingsamplestatisticstodrawconclusionsaboutpopulationparametersiscalled:
b.experimentation.
c.primarysources.
Q7.Whichofthefourmethodsofdatacollectionisinvolvedwhenapersonretrievesdatafromanonlinedatabase
a.publishedsources.
c.surveying.
d.observation.
Q8.Whichofthefourmethodsofdatacollectionisinvolvedwhenpeopleareaskedtocomplete
aquestionnaire
Q9.WhichofthefourmethodsofdatacollectionisinvolvedwhenapersonrecordstheuseoftheLosAngelesfreewaysystem
Q10.Afocusgroupisanexampleofwhichofthefourmethodsofdatacollection
a.Thelongerthequestionnaire,thelowertherate.
b.Mailsurveysusuallyproducelowerresponseratesthanpersonalinterviewsortelephonesurveys.
c.Questionwordingcanaffectaresponserate.
d.d.Alloftheabove.
Q12.Whichofthefollowingisareasonthatamanagerneedstoknowaboutstatistics
a.Toknowhowtoproperlypresentanddescribeinformation.
b.Toknowhowtodrawconclusionsaboutthepopulationbasedonsampleinformation.
c.Toknowhowtoimproveprocesses.
d.Alloftheabove.
Scenario1-1
Questions13-15refertothisscenario:
Aninsurancecompanyevaluatesmanyvariablesaboutapersonbeforedecidingonanappropriaterateforautomobileinsurance.Someofthesevariablescanbeclassifiedascategorical,discreteandnumerical,orcontinuousandnumerical.
Q13.ReferringtoScenario1-1(above),thenumberofclaimsapersonhasmadeinthelastthreeyearsiswhattypeofvariable
a.Categorical.
b.Discreteandnumerical.
c.Continuousandnumerical.
d.Noneoftheabove.
Q14.ReferringtoScenario1-1(above),aperson'
sageiswhattypeofvariable
Q15.ReferringtoScenario1-1(above),aperson'
sgenderiswhattypeofvariable
Q16.Whichofthefollowingcanbereducedbyproperinterviewertraining
a.Samplingerror.
b.Measurementerror.
c.Coverageerror.
d.Nonresponseerror.
Scenario1-2
Questions17-19refertothisscenario:
MediterraneanfruitflieswerediscoveredinCaliforniaafewyearsagoandbadlydamagedtheorangesgrowninthatstate.Supposethemanagerofalargefarmwantedtostudytheimpactofthefruitfliesontheorangecropsonadailybasisovera6-weekperiod.Oneachdayarandomsampleoforangetreeswasselectedfromwithinarandomsampleofacres.Thedailyaveragenumberofdamagedorangespertreeandtheproportionoftreeshavingdamagedorangeswerecalculated.
Q17.ReferringtoScenario1-2(above),thetwomainmeasurescalculatedeachday.,averagenumberofdamagedorangespertreeandproportionoftreeshavingdamagedoranges)arecalled_______.
a.statistics.
b.parameters.
c.samples.
d.populations.
Q18.ReferringtoScenario1-2(above),thetwomainmeasurescalculatedeachday.,averagenumberofdamagedorangespertreeandproportionoftreeshavingdamagedoranges)maybeusedonadailybasistoestimatetherespectivetruepopulation_______.
a.estimates.
c.statistics.
d.frame.
Q19.ReferringtoScenario1-2(above),inthisstudy,drawingconclusionsonanyonedayabout
thetruepopulationcharacteristicsbasedoninformationobtainedfromthesampleiscalled
_______.
a.evaluation.
b.descriptivestatistics.
c.inferentialstatistics.
d.survey.
Scenario1-3
Questions20and21refertothisscenario:
TheQualityAssuranceDepartmentofalargeurbanhospitalisattemptingtomonitorandevaluatepatientsatisfactionwithhospitalservices.Priortodischarge,arandomsampleofpatientsisaskedtofilloutaquestionnairetoratesuchservicesasmedicalcare,nursing,therapy,laboratory,food,andcleaning.TheQualityAssuranceDepartmentpreparesweeklyreportsthatarepresentedattheBoardofDirectorsmeetingsandextraordinary/atypicalratingsareeasytoflag.
Q20.ReferringtoScenario1-3(above),truepopulationcharacteristicsestimatedfromthe
sampleresultseachweekarecalled_____________.
a.inferences.
c.estimates.
d.data.
Q21.ReferringtoScenario1-3(above),alistingofallhospitalisedpatientsinthisinstitutionoveraparticularweekwouldconstitutethe________.
a.sample.
b.population.
d.parameters.
Scenario1-4
Questions22-24refertothisscenario:
ThefollowingarethequestionsgiventoSheilaDrucker-Ferrisinhercollegealumniassociationsurvey.Eachvariablecanbeclassifiedascategoricalornumerical,discreteorcontinuous.
Q22.ReferringtoScenario1-4(above),thedataforthenumberofyearssincegraduationiscategorisedas:
__________________.
a.numericaldiscrete.
b.categorical.
c.numericalcontinuous.
Q23.ReferringtoScenario1-4(above),thedataforthenumberofsciencemajorsiscategorisedas:
____________.
a.categorical.
b.numericalcontinuous.
c.numericaldiscrete.
Q24.ReferringtoScenario1-4(above),thedatafortabulatingthelevelofjobsatisfaction(High,Moderate,Low)iscategorisedas:
_________.
a.numericalcontinuous.
Topic2:
OrganisingandPresentingdata
Q1Thewidthofeachbarinahistogramcorrespondstothe:
a.boundariesoftheclasses.
b.numberofobservationsintheclasses.
c.midpointoftheclasses.
d.percentageofobservationsintheclasses.
Q2Whenconstructingcharts,whichofthefollowingcharttypesisplottedattheclassmidpoints
a.Frequencyhistograms.
b.Percentagepolygons.
c.Cumulativerelativefrequencyogives.
d.Relativefrequencyhistograms.
Q3Whenpolygonsorhistogramsareconstructed,whichaxismustshowthetruezeroor"
origin"
a.Thehorizontalaxis.
b.Theverticalaxis.
c.Boththehorizontalandverticalaxes.
d.Neitherthehorizontalnortheverticalaxis.
Q4Todeterminetheappropriatewidthofeachclassintervalinagroupedfreque