QMB
QMB 3200 UCF FINAL VOCAB E XAM
QUESTIONS AND ANSWERS UPDATED
(2025/2026) (VERIFIED ANSWERS)
Pointiestimatori-
i ANSi✓Theisampleistatistic,isuchiasibar(x),is,ioribar(p),ithatiprovidesitheipointiestim
ateiofitheipopulationiparameter.
Centralilimititheoremi-
i ANSi✓Aitheoremithatienablesioneitoiuseitheinormaliprobabilityidistributionitoiapp
roximateitheisamplingidistributioniofibar(x)iwheneveritheisampleisizeiisilarge.
Pointiestimatei-
i ANSi✓Theivalueiofiaipointiestimatoriusediiniaiparticulariinstanceiasianiestimateiofia
i populationiparameter.
Unbiasedi-
i ANSi✓Aipropertyiofiaipointiestimatorithatiisipresentiwhenitheiexpectedivalueiofithe
i pointiestimatoriisiequalitoitheipopulationiparameteriitiestimates.
Confidenceiintervali-iANSi✓Anotherinameiforianiintervaliestimate.
QMBi3200
, 2
QMB
marginiofierrori-
i ANSi✓Thei±ivalueiaddeditoiandisubtractedifromiaipointiestimateiiniorderitoidevelo
pianiintervaliestimateiofiaipopulationiparameter.
Confidenceicoefficienti-
i ANSi✓Theiconfidenceileveliexpressediasiaidecimalivalue.iForiexample,i.95iisitheico
nfidenceicoefficientiforiai95%iconfidenceilevel.
Degreesiofifreedomi-
i ANSi✓Aiparameteriofitheitidistribution.iWhenitheitidistributioniisiusediinitheicomp
utationiofianiintervaliestimateiofiaipopulationimean,itheiappropriateitidistributionih
asini−i1idegreesiofifreedom,iwhereiniisitheisizeiofitheisample.
Confidenceileveli-
i ANSi✓Theiconfidenceiassociatediwithianiintervaliestimate.iForiexample,iifianiinter
valiestimationiprocedureiprovidesiintervalsisuchithati95%iofitheiintervalsiformediu
singitheiprocedureiwilliincludeitheipopulationiparameter,itheiintervaliestimateiisisa
iditoibeiconstructediatithei95%iconfidenceilevel.
Nullihypothesisi-
i ANSi✓Theihypothesisitentativelyiassumeditrueiinitheihypothesisitestingiprocedur
e.
Two-taileditesti-
i ANSi✓Aihypothesisitestiiniwhichirejectioniofitheinullihypothesisioccursiforivaluesio
fitheitestistatisticiinieitheritailiofiitsisamplingidistribution.
QMBi3200