rue/False
1. Virtuallylalllareasloflbusinessluselstatisticslinldecisionlmaking.lA
ns:lTrue
Response:lSeelsectionl1.1,lStatisticslinlBusinesslD
ifficulty:lEasy
LearninglObjective:l1.1:lListlquantitativelandlgraphicallexamplesloflstatisticslwithinlalbusinesslcontext.
2. Statisticslcanlbelusedltolpredictlthelbusinesslfuture.lA
ns:lTrue
Response:lSeelsectionl1.1,lStatisticslinlBusinesslD
ifficulty:lEasy
LearninglObjective:l1.1:lListlquantitativelandlgraphicallexamplesloflstatisticslwithinlalbusinesslcontext.
3. Statisticslarelusedltolmarketlvitamins.l
Ans:lTrue
Response:lSeelsectionl1.1,lStatisticslinlBusinesslD
ifficulty:lEasy
LearninglObjective:l1.1:lListlquantitativelandlgraphicallexamplesloflstatisticslwithinlalbusinesslcontext.
4. AllistloflfinallgradeslinlanlintroductorylclasslinlbusinesslislanlexampleloflstatisticslAns:
lfalse
Response:lSeelsectionl1.1,lStatisticslinlBusinesslD
ifficulty:lEasy
LearninglObjective:l1.1:lListlquantitativelandlgraphicallexamplesloflstatisticslwithinlalbusinesslcontext.
5. Thelcompletelcollectionloflalllentitieslunderlstudylislcalledlthelsample.lAn
s:lFalse
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
6. Alportionlorlsubsetloflthelentitieslunderlstudylislcalledlthelstatistic.lAn
s:lFalse
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
,7. Aldescriptivelmeasureloflthelpopulationlislcalledlalparameter.lA
ns:lTrue
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
8. Alcensuslislthelprocessloflgatheringldatalonlalllthelentitieslinlthelpopulation.lAns
:lTrue
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
9. Statisticslislcommonlyldividedlintoltwolbrancheslcalledldescriptivelstatisticslandlsummarylstatistics.lAns
:lFalse
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
10. Aldescriptivelmeasureloflthelsamplelislcalledlalstatistic.lA
ns:lTrue
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
11. Gatheringldatalfromlalsampleltolreachlconclusionslaboutlthelpopulationlfromlwhichlthelsamplelwasldra
wnlislcalledldescriptivelstatistics.
Ans:lFalse
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lMedium
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
12. Calculationloflpopulationlparameterslislusuallyleitherlimpossiblelorlexcessivelyltimelconsuminglandlcost
ly.
Ans:lTrue
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
, 13. Thelbasislforlinferentiallstatisticslislthelabilityltolmakeldecisionslaboutlpopulationlparameterslwithoutlhavi
ngltolcompletelalcensusloflthelpopulation.
Ans:lTrue
Response:lSeelsectionl1.2,lBasiclStatisticallConceptslD
ifficulty:lEasy
LearninglObjective:l1.2:l definelimportantlstatisticallterms,lincludinglpopulation,lsample,landlparameter,laslt
heylrelateltoldescriptivelandlinferentiallstatistics.
14. Alvariablelislalnumericalldescriptionlofleachloflthelpossibleloutcomesloflanlexperiment.lAns
:lTrue
Response:lSeelsectionl1.3lVariablelandldatalD
ifficulty:lMedium
LearninglObjective:l1.3:lExplainltheldifferencelbetweenlvariables,lmeasurement,landldata.
15. Variableslandlmeasurementldatalarelinterchangeablelterms.lA
ns:lFalse
Response:lSeelsectionl1.3lVariablelandldatalD
ifficulty:lMedium
LearninglObjective:l1.3:lExplainltheldifferencelbetweenlvariables,lmeasurement,landldata.
16. Measurementsloccurlwhenlalstandardlprocesslislusedltolassignlnumbersltolattributeslorlcharacteristicsloflal
variable.
Ans:lTrue
Response:lSeelsectionl1.3lVariablelandldatalD
ifficulty:lMedium
LearninglObjective:l1.3:lExplainltheldifferencelbetweenlvariables,lmeasurement,landldata.
17. Alllnumericalldatalmustlbelanalyzedlstatisticallylinlthelsamelwaylbecauselallloflthemlarelrepresentedlbylnu
mbers.
Ans:lFalse
Response:lSeelsectionl1.4,lDatalMeasurementl
Difficulty:lMedium
LearninglObjective:l1.4:lComparelthelfourldifferentllevelslofldata:lnominal,lordinal,linterval,landlratio.
18. Thelmannerlinlwhichlnumericalldatalcanlbelanalyzedlstatisticallyldependslonlthellevellofldatalmea
surementlrepresentedlbylnumberslbeinglanalyzed.
Ans:lTrue
Response:lSeelsectionl1.4,lDatalMeasurementl
Difficulty:lMedium
LearninglObjective:l1.4:lComparelthelfourldifferentllevelslofldata:lnominal,lordinal,linterval,landlratio.