True/False
1. Virtuallywallwareaswofwbusinesswusewstatisticswinwdecisionwmaking.
Ans:wTrue
Response:wSeewsectionw1.1,wStatisticswinwBusinesswDiff
iculty:wEasy
LearningwObjective:w1.1:wListwquantitativewandwgraphicalwexampleswofwstatisticswwithinwawbusiness
context.
2. Thewcompletewcollectionwofwallwentitieswunderwstudywiswcalledwthewsample.
Ans:wFalse
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
3. Awportionworwsubsetwofwthewentitieswunderwstudywiswcalledwthewstatistic.
Ans:wFalse
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
4. Awdescriptivewmeasurewofwthewpopulationwiswcalledwawparameter.
Ans:wTrue
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
,5. Awcensuswiswthewprocesswofwgatheringwdatawonwallwthewentitieswinwthewpopulation.
Ans:wTrue
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
6. Statisticswiswcommonlywdividedwintowtwowbrancheswcalledwdescriptivewstatisticswandwsumm
arywstatistics.
Ans:wFalse
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
7. Awdescriptivewmeasurewofwthewsamplewiswcalledwawstatistic.
Ans:wTrue
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
8. Gatheringwdatawfromwawsamplewtowreachwconclusionswaboutwthewpopulationwfromwwhichw
thewsamplewwaswdrawnwiswcalledwdescriptivewstatistics.
Ans:wFalse
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wMedium
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
, 9. Calculationwofwpopulationwparameterswiswusuallyweitherwimpossibleworwexcessivelywti
mewconsumingwandwcostly.
Ans:wTrue
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
10. Thewbasiswforwinferentialwstatisticswiswthewabilitywtowmakewdecisionswaboutwpopulationwparamet
erswwithoutwhavingwtowcompletewawcensuswofwthewpopulation.
Ans:wTrue
Response:wSeewsectionw1.2,wBasicwStatisticalwConcepts
wDifficulty: wEasy
LearningwObjective:w1.2:w definewimportantwstatisticalwterms,wincludingwpopulation,wsample,wand
parameter,waswtheywrelatewtowdescriptivewandwinferentialwstatistics.
11. Allwnumericalwdatawmustwbewanalyzedwstatisticallywinwthewsamewwaywbecausewallwofwthem
warewrepresentedwbywnumbers.
Ans:wFalse
Response:wSeewsectionw1.4,wDatawMeasurementwDiffic
ulty:wMedium
LearningwObjective:w1.4:wComparewthewfourwdifferentwlevelswofwdata:wnominal,wordinal,winterval,wa
nd
ratio.
12. Thewmannerwinwwhichwnumericalwdatawcanwbewanalyzedwstatisticallywdependswonwthewlevelwofw
datawmeasurementwrepresentedwbywnumberswbeingwanalyzed.
Ans:wTrue
Response:wSeewsectionw1.4,wDatawMeasurementwDiffic
ulty:wMedium
LearningwObjective:w1.4:wComparewthewfourwdifferentwlevelswofwdata:wnominal,wordinal,winterval,wa
nd
ratio.