f f f f f f f f f f f f
tion Doane f
AppliedfStatisticsfinfBusinessfandfEconomics,f6ef(Doane)fC
hapterf2 DatafCollection
1) Categoricalfdatafhavefvaluesfthatfarefdescribedfbyfwordsfratherfthanfnumbers.
2) Numericalfdatafcanfbefeitherfdiscreteforfcontinuous.
3) Categoricalfdatafarefalsofreferredftofasfnominalforfqualitativefdata.
4) Thefnumberfoffchecksfprocessedfatfafbankfinfafdayfisfanfexamplefoffcategoricalfdata.
5) Thefnumberfoffplanesfperfdayfthatflandfatfanfairportfisfanfexamplefoffdiscretefdata.
6) Thefweightfoffafbagfoffdogffoodfisfanfexamplefoffdiscretefdata.
7) Inflastfyear'sfannualfreport,fThompsonfDistributorsfindicatedfthatfitfhadf12fregionalfwarehouses.fThi
sfisfanfexamplefoffordinalflevelfdata.
8) Nominalfdatafreferftofdatafthatfcanfbeforderedfinfafnaturalfway.
9) Thisfyear,fOxnardfUniversityfproducedftwoffootballfAll-
Americans.fThisfisfanfexamplefoffcontinuousfdata.
10) Theftypefoffstatisticalftestfthatfwefcanfperformfisfindependentfofftheflevelfoffmeasurementfoffthef
variablefoffinterest.
11) Yourfweightfrecordedfatfyourfannualfphysicalfwouldfnotfbefratiofdata,fbecausefyoufcannotfhav
efzerofweight.
12) Theflevelfoffmeasurementfforfcategoricalfdatafisfnominal.
13) TemperaturefmeasuredfinfdegreesfFahrenheitfisfanfexamplefoffintervalfdata.
14) Thefclosingfpricefoffafstockfisfanfexamplefoffratiofdata.
15) ThefStatisticalfAbstractfoffthefUnitedfStatesfisfafhugefannualfcompendiumfoffdatafforfthefUnit
edfStates,fandfitfisfavailablefonlineffreefoffcharge.
16) Ordinalfdatafcanfbeftreatedfasfiffitfwerefnominalfdatafbutfnotfvicefversa.
17) Responsesfonfafseven-pointfLikertfscalefarefusuallyftreatedfasfratiofdata.
18) Likertfscalesfarefespeciallyfimportantfinfopinionfpollsfandfmarketingfsurveys.
19) Ordinalfdatafarefdatafthatfcanfbefrankedfbasedfonfsomefnaturalfcharacteristicfoffthefitems.
20) Ratiofdatafarefdistinguishedffromfintervalfdatafbyfthefpresencefoffafzerofreferencefpoint.
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21) Itfisfbetterftofattemptfafcensusfoffaflargefpopulationfinsteadfoffrelyingfonfafsample.
22) Judgmentfsamplingfandfconveniencefsamplingfarefnonrandomfsamplingftechniques.
23) Afproblemfwithfjudgmentfsamplingfisfthatfthefsamplefmayfnotfreflectfthefpopulation.
24) Whenfthefpopulationfisflarge,fafsamplefestimatefisfusuallyfpreferableftofafcensus.
25) Samplingferrorfisfavoidablefbyfchoosingfthefsamplefscientifically.
26) Afsamplingfframefisfusedftofidentifyftheftargetfpopulationfinfafstatisticalfstudy.
27) Byftakingfafsystematicfsample,finfwhichfwefselectfeveryf50thfshopperfarrivingfatfafspecificfstor
e,fwefarefapproximatingfafrandomfsamplefoffshoppers.
28) Afworkerfcollectingfdataffromfeveryfotherfshopperfwhofleavesfafstorefisftakingfafsimplefran
domfsamplefoffcustomerfopinion.
29) Creatingfaflistfoffpeoplefbyftakingfthefthirdfnameflistedfonfeveryf10thfpagefoffthefphonefbookfisfanf
examplefoffconveniencefsampling.
30) Internetfsurveysfpostedfonfpopularfwebsitesfhavefnofbiasfsincefanyonefcanfreply.
31) Analysisfoffmonth-by-
monthfchangesfinfstockfmarketfpricesfduringfthefmostfrecentfrecessionfwouldfrequirefthefusefofftimefs
eriesfdata.
32) Afclusterfsamplefisfaftypefoffstratifiedfsamplefthatfisfbasedfonfgeographicalflocation.
33) Anfadvantagefoffafsystematicfsamplefisfthatfnoflistfoffenumeratedfdatafitemsfisfrequired.
34) Telephonefsurveysfoftenfhavefaflowfresponsefratefandffailftofreachfthefdesiredfpopulation.
35) Mailfsurveysfarefattractivefbecausefofftheirfhighfresponsefrates.
36) Afproblemfwithfconveniencefsamplingfisfthatftheftargetfpopulationfisfnotfwell-defined.
37) Iffyoufrandomlyfsamplef50fstudentsfaboutftheirffavoritefplacesftofeat,fthefdatafcollectedfwouldfbefr
eferredftofasfcross-sectionalfdata.
38) ThefnumberfoffFedExfshippingfcentersfinfeachfoff50fcitiesfwouldfbefordinalflevelfdata.
39) Internetfsurveysfpostedfonfpopularfwebsitesfsufferffromfnonresponsefbias.
40) Differentfvariablesfarefusuallyfshownfasfcolumnsfoffafmultivariatefdatafset.
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tion Doane f
41) Eachfrowfinfafmultivariatefdatafmatrixfisfanfobservationf(e.g.,fanfindividualfresponse).
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, DOWNLOAD THE Test Bank for Applied Statistics in Business and Economics 6th Ed
f f f f f f f f f f f f
tion Doane f
42) Afbivariatefdatafsetfhasfonlyftwofobservationsfonfafvariable.
43) Runningftimesfforf3,000frunnersfinfaf5kfracefwouldfbefafmultivariatefdatafset.
44) Runningftimesfforf500frunnersfinfaf5kfracefwouldfbefafunivariatefdatafset.
45) Aflistfoffthefsalaries,fages,fandfyearsfoffexperiencefforf50fCEOsfisfafmultivariatefdatafset.
46) ThefdailyfclosingfpricefoffApplefstockfoverfthefpastfmonthfwouldfbefaftimefseries.
47) Thefnumberfoffwordsfonf50frandomlyfchosenftextbookfpagesfwouldfbefcross-sectionalfdata.
48) AfLikertfscalefwithfanfevenfnumberfoffscalefpointsfbetweenf"StronglyfAgree"fandf"StronglyfDis
agree"fisfintendedftofpreventf"neutral"fchoices.
49) Privatefstatisticalfdatabasesf(e.g.,fCRSP)farefusuallyffree.
50) AnfinvestmentffirmfratesfbondsfforfAardfCofInc.fasf"B+,"fwhilefbondsfoffDevafCorp.farefratedf"AA
."fWhichflevelfoffmeasurementfwouldfbefappropriatefforfsuchfdata?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
51) Whichfvariablefisfleastflikelyftofbefregardedfasfratiofdata?
A) Lengthfofftimefrequiredfforfafrandomlyfchosenfvehicleftofcrossfaftollfbridgef(minutes)
B) Weightfoffafrandomlyfchosenfstudentf(pounds)
C) Numberfofffatalitiesfinfafrandomlyfchosenftrafficfdisasterf(persons)
D) Student'sfevaluationfoffafprofessor'sfteachingf(Likertfscale)
52) Whichfofftheffollowingfisfnumericalfdata?
A) Yourfgender
B) Thefbrandfoffcellfphonefyoufown
C) WhetherfyoufhavefanfAmericanfExpressfcard
D) Theffuelfeconomyf(MPG)foffyourfcar
53) Measurementsffromfafsamplefarefcalled
A) statistics.
B) inferences.
C) parameters.
D) variables.
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HillfEducation.fAllfrightsfreserved.fNofreproductionforfdistributionfwithoutfthefpriorfwrittenfconsentfoffMcGraw-
HillfEducation.
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