Test Bank for Introduction to Statistical Investigations 2nd Edition by Nathan Tintle & Beth Chance

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Introduction to Statistical Investigations,
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2nd Edition Nathan Tintle; Beth L. Chance
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Chapters 1 - 11, Complete
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,TABLE OF CONTENTS
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Chapter 1 – Significance: How Strong is the Evidence
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Chapter 2 – Generalization: How Broadly Do the Results Apply?
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Chapter 3 – Estimation: How Large is the Effect?
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Chapter 4 – Causation: Can We Say What Caused the Effect?
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Chapter 5 – Comparing Two Proportions
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Chapter 6 – Comparing Two Means
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Chapter 7 – Paired Data: One Quantitative Variable
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Chapter 8 – Comparing More Than Two Proportions
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Chapter 9 – Comparing More Than Two Means
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Chapter 10 – Two Quantitative Variables
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Chapter 11 – Modeling Randomness
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,Chapter 1 C




Note:CCCTEC =C TextCentry TE-NC=CTextCentryC-
CNumericCMaC =C Matching MSC =C MultipleCselect
MCC =C MultipleCchoice TFC=CTrue-

FalseCEC=CEasy,CMC=CMedium,CHC=CHard


CHAPTER 1 LEARNING OBJECTIVES
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CLO1-1:CUseCtheCchanceCmodelCtoCdetermineCwhetherCanCobservedCstatisticCisCunlikelyCtoCoccur.
CLO1-2:CCalculateCandCinterpretCaCp-
value,CandCstateCtheCstrengthCofCevidenceCitCprovidesCagainstCtheCnullChypothesis.
CLO1-
3:CCalculateCaCstandardizedCstatisticCforCaCsingleCproportionCandCevaluateCtheCstrengthCofCevide
nceCitCprovidesCagainstCaCnullChypothesis.
CLO1-
4:CDescribeChowCtheCdistanceCofCtheCobservedCstatisticCfromCtheCparameterCvalueCspecifiedCbyCtheC
nullChypothesis,CsampleCsize,CandCone-Cvs.Ctwo-
sidedCtestsCaffectCtheCstrengthCofCevidenceCagainstCtheCnullChypothesis.
CLO1-5:CDescribeChowCtoCcarryCoutCaCtheory-based,Cone-proportionCz-test.


Section 1.1: Introduction to Chance Models
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LO1.1-1:CRecognizeCtheCdifferenceCbetweenCparametersCandCstatistics.
LO1.1-2:CDescribeChowCtoCuseCcoinCtossingCtoCsimulateCoutcomesCfromCaCchanceCmodelCofCtheCran-
domCchoiceCbetweenCtwoCevents.
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LO1.1-3:CUseCtheCOneCProportionCappletCtoCcarryCoutCtheCcoinCtossingCsimulation.
LO1.1-
4:CIdentifyCwhetherCorCnotCstudyCresultsCareCstatisticallyCsignificantCandCwhetherCorCnotCtheCcha
nceCmodelCisCaCplausibleCexplanationCforCtheCdata.
LO1.1-
5:CImplementCtheC3SCstrategy:CfindCaCstatistic,CsimulateCresultsCfromCaCchanceCmodel,CandCcomm
entConCstrengthCofCevidenceCagainstCobservedCstudyCresultsChappeningCbyCchanceCalone.
LO1.1-
6:CDifferentiateCbetweenCsayingCtheCchanceCmodelCisCplausibleCandCtheCchanceCmodelCisCtheCcorrec
tCexplanationCforCtheCobservedCdata.
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, 1-2 TestCBankCforCIntroductionCtoCStatisticalCInvestigations,C2ndCEdition


QuestionsC1CthroughC4:
DoCredCuniformCwearersCtendCtoCwinCmoreCoftenCthanCthoseCwearingCblueCuniformsCinCTaekwond
oCmatchesCwhereCcompetitorsCareCrandomlyCassignedCtoCwearCeitherCaCredCorCblueCuniform?CInCa
CsampleCofC80CTaekwondoCmatches,CthereCwereC45CmatchesCwhereCtheC redCuniformCwearerCwon.
1. WhatCisCtheCparameterCofCinterestCforCthisCstudy?
A. TheClong-runCproportionCofCTaekwondoCmatchesCinCwhichCtheCredCuniformCwearerCwins
B. TheCproportionCofCmatchesCinCwhichCtheCredCuniformCwearerCwinsCinCaCsampleCofC80CTaek
wondoCmatches
C. WhetherCtheCredCuniformCwearerCwinsCaCmatch
D.C 0.50
Ans:CA;CLO:C1.1-1;CDifficulty:CEasy;CType:CMC
2. WhatCisCtheCstatisticCforCthisCstudy?
A. TheClong-runCproportionCofCTaekwondoCmatchesCinCwhichCtheCredCuniformCwearerCwins
B. TheCproportionCofCmatchesCinCwhichCtheCredCuniformCwearerCwinsCinCaCsampleCofC80CTaek
wondoCmatches
C. WhetherCtheCredCuniformCwearerCwinsCaCmatch
D.C 0.50
Ans:CB;CLO:C1.1-1;CDifficulty:CEasy;CType:CMC
3. GivenCbelowCisCtheCsimulatedCdistributionCofCtheCnumberCofC―redCwins‖CthatCcouldChappenCbyCcha
nceCaloneCinCaCsampleCofC80Cmatches.CBasedConCthisCsimulation,CisCourCobservedCresultCstatistically
Csignificant?




A. Yes,CsinceC45CisClargerCthanC40.
B. Yes,CsinceCtheCheightCofCtheCdotplotCaboveC45CisCsmallerCthanCtheCheightCofCtheCdotpl
otCaboveC40.
C. No,CsinceC45CisCaCfairlyCtypicalCoutcomeCifCtheCcolorCofCtheCwinner‘sCuniformCwasCdeter
minedCbyCchanceCalone.


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