alse
1. Virtuallynallnareasnofnbusinessnusenstatisticsninndecisionnmaking.n
Ans:nTrue
Response:nSeensectionn1.1,nStatisticsninnBusinessnDiffi
culty:nEasy
LearningnObjective:n1.1:nListnquantitativenandngraphicalnexamplesnofnstatisticsnwithinnanbusinessncontext.
2. Statisticsncannbenusedntonpredictnthenbusinessnfuture.n
Ans:nTrue
Response:nSeensectionn1.1,nStatisticsninnBusinessnDiffi
culty:nEasy
LearningnObjective:n1.1:nListnquantitativenandngraphicalnexamplesnofnstatisticsnwithinnanbusinessncontext.
3. Statisticsnarenusedntonmarketnvitamins.n
Ans:nTrue
Response:nSeensectionn1.1,nStatisticsninnBusinessnDiffi
culty:nEasy
LearningnObjective:n1.1:nListnquantitativenandngraphicalnexamplesnofnstatisticsnwithinnanbusinessncontext.
4. Anlistnofnfinalngradesninnannintroductorynclassninnbusinessnisnannexamplenofnstatisticsn
Ans:nfalse
Response:nSeensectionn1.1,nStatisticsninnBusinessnDiffi
culty:nEasy
LearningnObjective:n1.1:nListnquantitativenandngraphicalnexamplesnofnstatisticsnwithinnanbusinessncontext.
5. Thencompletencollectionnofnallnentitiesnundernstudynisncallednthensample.n
Ans:nFalse
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
6. Anportionnornsubsetnofnthenentitiesnundernstudynisncallednthenstatistic.n
Ans:nFalse
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
,7. Andescriptivenmeasurenofnthenpopulationnisncallednanparameter.n
Ans:nTrue
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
8. Ancensusnisnthenprocessnofngatheringndatanonnallnthenentitiesninnthenpopulation.n
Ans:nTrue
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
9. Statisticsnisncommonlyndividednintontwonbranchesncalledndescriptivenstatisticsnandnsummarynstatistics.n
Ans:nFalse
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
10. Andescriptivenmeasurenofnthensamplenisncallednanstatistic.n
Ans:nTrue
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
11. Gatheringndatanfromnansamplentonreachnconclusionsnaboutnthenpopulationnfromnwhichnthensamplenwasn
drawnnisncalledndescriptivenstatistics.
Ans:nFalse
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nMedium
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
12. Calculationnofnpopulationnparametersnisnusuallyneithernimpossiblenornexcessivelyntimenconsumingnandn
costly.
Ans:nTrue
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
, 13. Thenbasisnforninferentialnstatisticsnisnthenabilityntonmakendecisionsnaboutnpopulationnparametersnwithoutn
havingntoncompletenancensusnofnthenpopulation.
Ans:nTrue
Response:nSeensectionn1.2,nBasicnStatisticalnConceptsn
Difficulty:nEasy
LearningnObjective:n1.2:n definenimportantnstatisticalnterms,nincludingnpopulation,nsample,nandnparameter,n
asntheynrelatentondescriptivenandninferentialnstatistics.
14. Anvariablenisnannumericalndescriptionnofneachnofnthenpossiblenoutcomesnofnannexperiment.n
Ans:nTrue
Response:nSeensectionn1.3nVariablenandndatanDifficulty
:nMedium
LearningnObjective:n1.3:nExplainnthendifferencenbetweennvariables,nmeasurement,nandndata.
15. Variablesnandnmeasurementndatanareninterchangeablenterms.n
Ans:nFalse
Response:nSeensectionn1.3nVariablenandndatanDifficulty
:nMedium
LearningnObjective:n1.3:nExplainnthendifferencenbetweennvariables,nmeasurement,nandndata.
16. Measurementsnoccurnwhennanstandardnprocessnisnusedntonassignnnumbersntonattributesnorncharacteristicsn
ofnanvariable.
Ans:nTrue
Response:nSeensectionn1.3nVariablenandndatanDifficulty
:nMedium
LearningnObjective:n1.3:nExplainnthendifferencenbetweennvariables,nmeasurement,nandndata.
17. Allnnumericalndatanmustnbenanalyzednstatisticallyninnthensamenwaynbecausenallnofnthemnarenrepresentedn
bynnumbers.
Ans:nFalse
Response:nSeensectionn1.4,nDatanMeasurementnDifficu
lty:nMedium
LearningnObjective:n1.4:nComparenthenfourndifferentnlevelsnofndata:nnominal,nordinal,ninterval,nandnratio.
18. Thenmannerninnwhichnnumericalndatancannbenanalyzednstatisticallyndependsnonnthenlevelnofndatan
measurementnrepresentednbynnumbersnbeingnanalyzed.
Ans:nTrue
Response:nSeensectionn1.4,nDatanMeasurementnDifficu
lty:nMedium
LearningnObjective:n1.4:nComparenthenfourndifferentnlevelsnofndata:nnominal,nordinal,ninterval,nandnratio.