《Businessstatistic》复习参考第一章至第八章Word格式文档下载.docx

《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