TEST BANK
Introduction to Statistical Investigations,
2nd Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FORaiINSTRUCTORaiUSEaiON
LY
,TABLE OF CONTENTS
ai ai ai
Chapterai1ai–aiSignificance:aiHowaiStrongaiisaitheaiEvidenceai
Chapterai2ai–
Generalization:aiHowaiBroadlyaiDoaitheaiResultsaiApply?ai
ai
Chapterai3ai–aiEstimation:aiHowaiLargeaiisaitheaiEffect?ai
Chapterai4ai–aiCausation:aiCanaiWeaiSayaiWhataiCausedaitheaiEffect?ai
Chapterai5ai–aiComparingaiTwoaiProportionsai
Chapterai6ai–aiComparingaiTwoaiMeansai
Chapterai7ai–aiPairedaiData:aiOneaiQuantitativeaiVariableai
Chapterai8ai–aiComparingaiMoreaiThanaiTwoaiProportionsai
Chapterai9ai–aiComparingaiMoreaiThanaiTwoaiMeansai
Chapterai10ai–aiTwoaiQuantitativeaiVariablesai
Chapterai11ai–aiModelingaiRandomness
FORaiINSTRUCTORaiUSEaiON
LY
,Chapter 1 a i
Note:aiaiaiTEa i =a i Textaientry TE-Nai=aiTextaientryai-
aiNumericaM
i aa i =a i Matching MSa i =a i Multipleaiselect
MCa i =a i Multipleaichoice TFai=aiTrue-
FalseaEi ai=aiEasy,aiMai=aiMedium,aiHai=aiHard
CHAPTERai1aiLEARNINGaiOBJECTIVES
CLO1-1:aiUseaitheaichanceaimodelaitoaidetermineaiwhetheraianaiobservedaistatisticaiisaiunlikelyaitoaioccur.
CLO1-2:aiCalculateaiandaiinterpretaiaaip-
value,aiandaistateaitheaistrengthaiofaievidenceaiitaiprovidesaiagainstati heainullaihypothesis.
CLO1-
3:aiCalculateaiaaistandardizedaistatisticaiforaiaaisingleaiproportionaiandaievaluateaitheaistrength
aiofae
i videnceaiitaiprovidesaiagainstaiaainullaihypothesis.
CLO1-
4:aiDescribeaihowaitheaidistanceaiofaitheaiobservedaistatisticaifromaitheaiparameteraivalueaispecifie
dab
i yaitheainullaihypothesis,aisampleaisize,aiandaione-aivs.aitwo-
sidedaitestsaiaffectaitheaistrengthaiofaievidenceaiagainstaitheainullaihypothesis.
CLO1-5:aiDescribeaihowaitoaicarryaioutaiaaitheory-based,aione-proportionaiz-test.
Sectionai1.1:aiIntroductionaitoaiChanceaiModels
LO1.1-1:aiRecognizeaitheaidifferenceaibetweenaiparametersaiandaistatistics.
LO1.1-
2:aiDescribeaihowaitoaiuseaicoinaitossingaitoaisimulateaioutcomesaifromaiaaichanceaimodelaiofaitheai
ran-ad
i omaichoiceaibetweenaitwoaievents.
LO1.1-3:aiUseaitheaiOneaiProportionaiappletaitoaicarryaioutaitheaicoinaitossingaisimulation.
LO1.1-
4:aiIdentifyaiwhetheraiorainotaistudyairesultsaiareaistatisticallyaisignificantaiandaiwhetheraioraino
taitheaci hanceaimodelaiisaiaaiplausibleaiexplanationaiforaitheaidata.
LO1.1-
5:aiImplementaitheai3Saistrategy:aifindaiaaistatistic,aisimulateairesultsaifromaiaaichanceaimodel,ai
andaci ommentaionaistrengthaiofaievidenceaiagainstaiobservedaistudyairesultsaihappeningaibyaicha
nceaialone.
LO1.1-
FORaiINSTRUCTORaiUSEaiON
LY
, 6:aiDifferentiateaibetweenaisayingaitheaichanceaimodelaiisaiplausibleaiandaitheaichanceaimodelaiisai
theaci orrectaiexplanationaiforaitheaiobservedaidata.
FORaiINSTRUCTORaiUSEaiON
LY
Introduction to Statistical Investigations,
2nd Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FORaiINSTRUCTORaiUSEaiON
LY
,TABLE OF CONTENTS
ai ai ai
Chapterai1ai–aiSignificance:aiHowaiStrongaiisaitheaiEvidenceai
Chapterai2ai–
Generalization:aiHowaiBroadlyaiDoaitheaiResultsaiApply?ai
ai
Chapterai3ai–aiEstimation:aiHowaiLargeaiisaitheaiEffect?ai
Chapterai4ai–aiCausation:aiCanaiWeaiSayaiWhataiCausedaitheaiEffect?ai
Chapterai5ai–aiComparingaiTwoaiProportionsai
Chapterai6ai–aiComparingaiTwoaiMeansai
Chapterai7ai–aiPairedaiData:aiOneaiQuantitativeaiVariableai
Chapterai8ai–aiComparingaiMoreaiThanaiTwoaiProportionsai
Chapterai9ai–aiComparingaiMoreaiThanaiTwoaiMeansai
Chapterai10ai–aiTwoaiQuantitativeaiVariablesai
Chapterai11ai–aiModelingaiRandomness
FORaiINSTRUCTORaiUSEaiON
LY
,Chapter 1 a i
Note:aiaiaiTEa i =a i Textaientry TE-Nai=aiTextaientryai-
aiNumericaM
i aa i =a i Matching MSa i =a i Multipleaiselect
MCa i =a i Multipleaichoice TFai=aiTrue-
FalseaEi ai=aiEasy,aiMai=aiMedium,aiHai=aiHard
CHAPTERai1aiLEARNINGaiOBJECTIVES
CLO1-1:aiUseaitheaichanceaimodelaitoaidetermineaiwhetheraianaiobservedaistatisticaiisaiunlikelyaitoaioccur.
CLO1-2:aiCalculateaiandaiinterpretaiaaip-
value,aiandaistateaitheaistrengthaiofaievidenceaiitaiprovidesaiagainstati heainullaihypothesis.
CLO1-
3:aiCalculateaiaaistandardizedaistatisticaiforaiaaisingleaiproportionaiandaievaluateaitheaistrength
aiofae
i videnceaiitaiprovidesaiagainstaiaainullaihypothesis.
CLO1-
4:aiDescribeaihowaitheaidistanceaiofaitheaiobservedaistatisticaifromaitheaiparameteraivalueaispecifie
dab
i yaitheainullaihypothesis,aisampleaisize,aiandaione-aivs.aitwo-
sidedaitestsaiaffectaitheaistrengthaiofaievidenceaiagainstaitheainullaihypothesis.
CLO1-5:aiDescribeaihowaitoaicarryaioutaiaaitheory-based,aione-proportionaiz-test.
Sectionai1.1:aiIntroductionaitoaiChanceaiModels
LO1.1-1:aiRecognizeaitheaidifferenceaibetweenaiparametersaiandaistatistics.
LO1.1-
2:aiDescribeaihowaitoaiuseaicoinaitossingaitoaisimulateaioutcomesaifromaiaaichanceaimodelaiofaitheai
ran-ad
i omaichoiceaibetweenaitwoaievents.
LO1.1-3:aiUseaitheaiOneaiProportionaiappletaitoaicarryaioutaitheaicoinaitossingaisimulation.
LO1.1-
4:aiIdentifyaiwhetheraiorainotaistudyairesultsaiareaistatisticallyaisignificantaiandaiwhetheraioraino
taitheaci hanceaimodelaiisaiaaiplausibleaiexplanationaiforaitheaidata.
LO1.1-
5:aiImplementaitheai3Saistrategy:aifindaiaaistatistic,aisimulateairesultsaifromaiaaichanceaimodel,ai
andaci ommentaionaistrengthaiofaievidenceaiagainstaiobservedaistudyairesultsaihappeningaibyaicha
nceaialone.
LO1.1-
FORaiINSTRUCTORaiUSEaiON
LY
, 6:aiDifferentiateaibetweenaisayingaitheaichanceaimodelaiisaiplausibleaiandaitheaichanceaimodelaiisai
theaci orrectaiexplanationaiforaitheaiobservedaidata.
FORaiINSTRUCTORaiUSEaiON
LY
