business statistics for contemporary decision making 8thedition by black test bank

,File:Ech01,EChapterE1:EIntroductionEtoEStatisticsETrue/


False



1. VirtuallyEallEareasEofEbusinessEuseEstatisticsEinEdecisionEmaking
.EAns:ETrue
Response:ESeeEsectionE1.1,EStatisticsEinEBusinessEDiff
iculty:EEasy
LearningEObjective:E1.1:EListEquantitativeEandEgraphicalEexamplesEofEstatisticsEwithinEaEbusinessEcontext.


2. StatisticsEcanEbeEusedEtoEpredictEtheEbusinessEfuture
.EAns:ETrue
Response:ESeeEsectionE1.1,EStatisticsEinEBusinessEDiff
iculty:EEasy
LearningEObjective:E1.1:EListEquantitativeEandEgraphicalEexamplesEofEstatisticsEwithinEaEbusinessEcontext.


3. StatisticsEareEusedEtoEmarketEvitamins.
EAns:ETrue

Response:ESeeEsectionE1.1,EStatisticsEinEBusinessEDiff
iculty:EEasy
LearningEObjective:E1.1:EListEquantitativeEandEgraphicalEexamplesEofEstatisticsEwithinEaEbusinessEcontext.

4. AElistEofEfinalEgradesEinEanEintroductoryEclassEinEbusinessEisEanEexampleEofEstatistic
sEAns:Efalse
Response:ESeeEsectionE1.1,EStatisticsEinEBusinessEDiff
iculty:EEasy
LearningEObjective:E1.1:EListEquantitativeEandEgraphicalEexamplesEofEstatisticsEwithinEaEbusinessEcontext.


5. TheEcompleteEcollectionEofEallEentitiesEunderEstudyEisEcalledEtheEsample
.EAns:EFalse
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.


6. AEportionEorEsubsetEofEtheEentitiesEunderEstudyEisEcalledEtheEstatistic
.EAns:EFalse
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.

,7. AEdescriptiveEmeasureEofEtheEpopulationEisEcalledEaEparameter
.EAns:ETrue
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.


8. AEcensusEisEtheEprocessEofEgatheringEdataEonEallEtheEentitiesEinEtheEpopulation
.EAns:ETrue
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.



9. StatisticsEisEcommonlyEdividedEintoEtwoEbranchesEcalledEdescriptiveEstatisticsEandEsummaryEstatistics
.EAns:EFalse
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.



10. AEdescriptiveEmeasureEofEtheEsampleEisEcalledEaEstatistic
.EAns:ETrue
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.



11. GatheringEdataEfromEaEsampleEtoEreachEconclusionsEaboutEtheEpopulationEfromEwhichEtheEsampleEwa
sEdrawnEisEcalledEdescriptiveEstatistics.
Ans:EFalse
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EMedium

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.


12. CalculationEofEpopulationEparametersEisEusuallyEeitherEimpossibleEorEexcessivelyEtimeEconsumingEan
dEcostly.
Ans:ETrue
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.

, 13. TheEbasisEforEinferentialEstatisticsEisEtheEabilityEtoEmakeEdecisionsEaboutEpopulationEparametersEwithou
tEhavingEtoEcompleteEaEcensusEofEtheEpopulation.
Ans:ETrue
Response:ESeeEsectionE1.2,EBasicEStatisticalEConcepts
EDifficulty:EEasy

LearningEObjective:E1.2:E defineEimportantEstatisticalEterms,EincludingEpopulation,Esample,EandEparameter
,EasEtheyErelateEtoEdescriptiveEandEinferentialEstatistics.



14. AEvariableEisEaEnumericalEdescriptionEofEeachEofEtheEpossibleEoutcomesEofEanEexperiment
.EAns:ETrue
Response:ESeeEsectionE1.3EVariableEandEdataEDifficult
y:EMedium
LearningEObjective:E1.3:EExplainEtheEdifferenceEbetweenEvariables,Emeasurement,EandEdata.


15. VariablesEandEmeasurementEdataEareEinterchangeableEterms.
EAns:EFalse

Response:ESeeEsectionE1.3EVariableEandEdataEDifficult
y:EMedium
LearningEObjective:E1.3:EExplainEtheEdifferenceEbetweenEvariables,Emeasurement,EandEdata.


16. MeasurementsEoccurEwhenEaEstandardEprocessEisEusedEtoEassignEnumbersEtoEattributesEorEcharacteristic
sEofEaEvariable.
Ans:ETrue
Response:ESeeEsectionE1.3EVariableEandEdataEDifficult
y:EMedium
LearningEObjective:E1.3:EExplainEtheEdifferenceEbetweenEvariables,Emeasurement,EandEdata.


17. AllEnumericalEdataEmustEbeEanalyzedEstatisticallyEinEtheEsameEwayEbecauseEallEofEthemEareErepresente
dEbyEnumbers.
Ans:EFalse
Response:ESeeEsectionE1.4,EDataEMeasurementEDiffic
ulty:EMedium
LearningEObjective:E1.4:ECompareEtheEfourEdifferentElevelsEofEdata:Enominal,Eordinal,Einterval,EandEratio.


18. TheEmannerEinEwhichEnumericalEdataEcanEbeEanalyzedEstatisticallyEdependsEonEtheElevelEofEdat
aEmeasurementErepresentedEbyEnumbersEbeingEanalyzed.
Ans:ETrue
Response:ESeeEsectionE1.4,EDataEMeasurementEDiffic
ulty:EMedium
LearningEObjective:E1.4:ECompareEtheEfourEdifferentElevelsEofEdata:Enominal,Eordinal,Einterval,EandEratio.