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外文文献及翻译
学校代码:
10128
学号:
201210707016
(
题目:
STATISTICALSAMPLINGMETHOD,USEDINTHEAUDIT
学生姓名:
王雪琴
学院:
管理学院
系别:
会计系
专业:
财务管理
班级:
财管12-2班
指导教师:
×××教授/副教授/讲师
(英文参考文献及译文)
二〇一六年六月
STATISTICALSAMPLINGMETHOD,USEDINTHEAUDIT
-views,recommendations,findings
PhDCandidateGabriela-FeliciaUNGUREANU
Abstract
TherapidincreaseinthesizeofU.S.companiesfromtheearlytwentiethcenturycreatedtheneedforauditproceduresbasedontheselectionofapartofthetotalpopulationauditedtoobtainreliableauditevidence,tocharacterizetheentirepopulationconsistsofaccountbalancesorclassesoftransactions.Samplingisnotusedonlyinaudit–isusedinsamplingsurveys,marketanalysisandmedicalresearchinwhichsomeonewantstoreachaconclusionaboutalargenumberofdatabyexaminingonlyapartofthesedata.Thedifferenceisthe“population”fromwhichthesampleisselected,iethatsetofdatawhichisintendedtodrawaconclusion.Auditsamplingappliesonlytocertaintypesofauditprocedures.
Keywords:
sampling,samplerisk,population,samplingunit,testsofcontrols,substantiveprocedures.
Statisticalsampling
CommitteestatisticalsamplingofAmericanInstituteofCertifiedPublicAccountantsof(AICPA)issuedin1962aspecialreport,titled“Statisticalsamplingandindependentauditors’whichallowedtheuseofstatisticalsamplingmethod,inaccordancewithGenerallyAcceptedAuditingStandards(GAAS).During1962-1974,theAICPApublishedaseriesofpapersonstatisticalsampling,“Auditor’sApproachtoStatisticalSampling”,foruseincontinuingprofessionaleducationofaccountants.During1962-1974,theAICPApublishedaseriesofpapersonstatisticalsampling,“Auditor’sApproachtoStatisticalSampling”,foruseincontinuingprofessionaleducationofaccountants.In1981,AICPAissuedtheprofessionalstandard,“AuditSampling”,whichprovidesgeneralguidelinesforbothsamplingmethods,statisticalandnon-statistical.
Earlierauditsincludedchecksofalltransactionsintheperiodcoveredbytheauditedfinancialstatements.Atthattime,theliteraturehasnotgivenparticularattentiontothissubject.Onlyin1971,anauditproceduresprogramprintedinthe“FederalReserveBulletin(FederalBulletinStocks)”includedseveralreferencestosamplingsuchasselectingthe“fewitems”ofinventory.
Theprogramwasdevelopedbyaspecialcommittee,whichlaterbecametheAICPA,thatofCertifiedPublicAccountantsAmericanInstitute.
Inthefirstdecadesoflastcentury,theauditorsoftenappliedsampling,butsamplesizewasnotinrelatedtotheefficiencyofinternalcontroloftheentity.In1955,AmericanInstituteofAccountantshaspublishedastudycaseofextendingtheauditsampling,summarizingauditprogramdevelopedbycertifiedpublicaccountants,toshowwhysamplingisnecessarytoextendtheaudit.Thestudywasimportantbecauseisoneoftheleadingjournalonsamplingwhichrecognizearelationshipofdependencybetweendetailandreliabilitytestingofinternalcontrol.
In1964,theAICPA’sAuditingStandardsBoardhasissuedareportentitled“TherelationshipbetweenstatisticalsamplingandGenerallyAcceptedAuditingStandards(GAAS)”whichillustratedtherelationshipbetweentheaccuracyandreliabilityinsamplingandprovisionsofGAAS.
In1978,theAICPApublishedtheworkofDonaldM.Roberts,“StatisticalAuditing”whichexplainstheunderlyingtheoryofstatisticalsamplinginauditing.
In1981,AICPAissuedtheprofessionalstandard,named“AuditSampling”,whichprovidesguidelinesforbothsamplingmethods,statisticalandnon-statistical.
Anauditordoesnotrelysolelyontheresultsofasingleproceduretoreachaconclusiononanaccountbalance,classoftransactionsoroperationaleffectivenessofthecontrols.Rather,theauditfindingsarebasedoncombinedevidencefromseveralsources,asaconsequenceofanumberofdifferentauditprocedures.Whenanauditorselectsasampleofapopulation,hisobjectiveistoobtainarepresentativesample,iesamplewhosecharacteristicsareidenticalwiththepopulation’scharacteristics.Thismeansthatselecteditemsareidenticalwiththoseremainingoutsidethesample.
Inpractice,auditorsdonotknowforsureifasampleisrepresentative,evenaftercompletionthetest,butthey“mayincreasetheprobabilitythatasampleisrepresentativebyaccuracyofactivitiesmaderelatedtodesign,sampleselectionandevaluation”[1].Lackofspecificityofthesampleresultsmaybegivenbyobservationerrorsandsamplingerrors.Riskstoproducetheseerrorscanbecontrolled.
Observationerror(riskofobservation)appearswhentheaudittestdidnotidentifyexistingdeviationsinthesampleorusinganinadequateaudittechniqueorbynegligenceoftheauditor.
Samplingerror(samplingrisk)isaninherentcharacteristicofthesurvey,whichresultsfromthefactthattheytestedonlyafractionofthetotalpopulation.Samplingerroroccursduetothefactthatitispossiblefor
theauditortoreachaconclusion,basedonasamplethatisdifferentfromtheconclusionwhichwouldbereachediftheentirepopulationwouldhavebeensubjecttoauditproceduresidentical.Samplingriskcanbereducedbyadjustingthesamplesize,dependingonthesizeandpopulationcharacteristicsandusinganappropriatemethodofselection.Increasingsamplesizewillreducetheriskofsampling;asampleoftheallpopulationwillpresentanullriskofsampling.
AuditSamplingisamethodoftestingforgathersufficientandappropriateauditevidence,forthepurposesofaudit.Theauditormaydecidetoapplyauditsamplingonanaccountbalanceorclassoftransactions.Samplingauditincludesauditprocedurestolessthan100%oftheitemswithinanaccountbalanceorclassoftransactions,soallthesampleabletobeselected.Auditorisrequiredtodetermineappropriatewaysofselectingitemsfortesting.Auditsamplingcanbeusedasastatisticalapproachandanon-statistical.
Statisticalsamplingisamethodbywhichthesampleismadesothateachunitconsistsofthetotalpopulationhasanequalprobabilityofbeingincludedinthesample,methodofsampleselectionisrandom,allowedtoassesstheresultsbasedonprobabilitytheoryandriskquantificationofsampling.Choosingtheappropriatepopulationmakethatauditor’findingscanbeextendedtotheentirepopulation.
Non-statisticalsamplingisamethodofsampling,whentheauditorusesprofessionaljudgmenttoselectelementsofasample.Sincethepurposeofsamplingistodrawconclusionsabouttheentirepopulation,theauditorshouldselectarepresentativesamplebychoosingsampleunitswhichhavecharacteristicstypicalofthatpopulation.Resultswillnotextrapolatetheentirepopulationasthesampleselectedisrepresentative.
Audittestscanbeappliedontheallelementsofthepopulation,whereisasmallpopulationoronanunrepresentativesample,wheretheauditorknowstheparticularitiesofthepopulationtobetestedandisabletoidentifyasmallnumberofitemsofinteresttoaudit.Ifthesamplehasnotsimilarcharacteristicsfortheelementsoftheentirepopulation,theerrorsfoundinthetestedsamplecannotextrapolate.
Decisionofstatisticalornon-statisticalapproachdependsontheauditor’sprofessionaljudgmentwhichseekingsufficientappropriateauditsevidenceonwhichtocompletionitsfindingsabouttheauditopinion.
Asastatisticalsamplingmethodrefertotherandomselectionthatanypossiblecombinationofelementsofthecommunityisequallylikelytoenterthesample.Simplerandomsamplingisusedwhenstratificationwasnottoaudit.Usingrandomselectioninvolvesusingrandomnumbersgeneratedby
acomputer.Afterselectingarandomstartingpoint,theauditorfoundthefirstrandomnumberthatfallswithinthetestdocumentnumbers.Onlywhentheapproachhasthecharacteristicsofstatisticalsampling,statisticalassessmentsofriskarevalidsampling.
Inanothervariantofthesamplingprobability,namelythesystematicselection(alsocalledrandommechanical)elementsnaturallysucceedinofficespaceortime;theauditorhasapreliminarylistingofthepopulationandmadethedecisiononsamplesize.“Theauditorcalculatedacountingstep,andselectsthesampleelementmethodbasedonstepsize.Stepcountingisdeterminedbydividingthevolumeofthecommunitytosamplethenumberofunitsdesired.Advantagesofsystematicscreeningareitsusability.Inmostcases,asystematicsamplecanbeextractedquicklyandmethodautomaticallyarrangesnumbersinsuccessiveseries.”[2].
Selectionbyprobabilityproportionaltosize-isamethodwhichemphasizesthosepopulationunits’recordedhighervalues.Thesampleisconstitutedsothattheprobabilityofselectinganygivenelementofthepopulationisequaltotherecordedvalueoftheitem;
Stratifiedselection-isamethodofemphasisofunitswithhighervaluesandisregisteredinthestratificationofthepopulationinsubpopulations.Stratificationprovidesacompletepictureoftheauditor,whenpopulation(datatabletobeanalyzed)isnothomogeneous.Inthiscase,theauditorstratifiesapopulationbydividingthemintodistinctsubpopulations,whichhavecommoncharacteristics,pre-defined.“Theobjectiveofstratificationistoreducethevariabilityofelementsineachlayerandthereforeallowareductioninsamplesizewithoutaproportionateincreaseintheriskofsampling.”[3]Ifpopulationstratificationisdoneproperly,theamountofsamplesizetocomelayerswillbelessthanthesamplesizethatwouldbeobtainedatthesamelevelofriskgivensamplewithasampleextractedfromtheen