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Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452

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Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452 Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452 Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452 Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452 Test bank For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, all Chapters 1-11 fully covered ISBN: 9781119683452 Introduction to statistical investigations 2nd edition pdf Introduction to Statistical Investigations 2nd Edition PDF free Introduction to statistical investigations 2nd edition answer key Introduction to statistical investigations 2nd edition pdf download Introduction to Statistical Investigations PDF Introduction to statistical investigations 2nd edition pdf Introduction to Statistical Investigations 2nd Edition PDF free Introduction to statistical investigations 2nd edition answer key Introduction to statistical investigations 2nd edition pdf download Introduction to Statistical Investigations PDF

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TEST BANK
Introduction to Statistical Investigations,
2nd Edition Nathan Tintle; Beth L. Chance
all Chapters 1 - 11, Complete




FOReINSTRUCTOReUSEeONLY

,TABLE OF CONTENTS
e e e




Chapter 1 – Significance: How Strong is the Evidence
e e e e e e e e e




Chapter 2 – Generalization: How Broadly Do the Results Apply?
e e e e e e e e e e




Chapter 3 – Estimation: How Large is the Effect?
e e e e e e e e e




Chapter 4 – Causation: Can We Say What Caused the Effect?
e e e e e e e e e e e




Chapter 5 – Comparing Two Proportions
e e e e e e




Chapter 6 – Comparing Two Means
e e e e e e




Chapter 7 – Paired Data: One Quantitative Variable
e e e e e e e e




Chapter 8 – Comparing More Than Two Proportions
e e e e e e e e




Chapter 9 – Comparing More Than Two Means
e e e e e e e e




Chapter 10 – Two Quantitative Variables
e e e e e e




Chapter 11 – Modeling Randomness
e e e e




FOReINSTRUCTOReUSEeONLY

,Chapter 1 e




Note:eeeTEe =e Texteentry TE-Ne=eTexteentrye-
eNumericeMae =e Matching MSe =e Multipleeselect
MCe =e Multipleechoice TFe=eTrue-

FalseeEe=eEasy,eMe=eMedium,eHe=eHard


CHAPTER 1 LEARNING OBJECTIVES
e e e



CLO1-1:eUseetheechanceemodeletoedetermineewhethereaneobservedestatisticeiseunlikelyetoeoccur.
CLO1-2:eCalculateeandeinterpreteaep-
value,eandestateetheestrengtheofeevidenceeiteprovideseagainstetheenullehypothesis.
CLO1-
3:eCalculateeaestandardizedestatisticeforeaesingleeproportioneandeevaluateetheestrengtheofeevide
nceeiteprovideseagainsteaenullehypothesis.
CLO1-
4:eDescribeehowetheedistanceeofetheeobservedestatisticefrometheeparameterevalueespecifiedebyetheen
ullehypothesis,esampleesize,eandeone-evs.etwo-
sidedetestseaffectetheestrengtheofeevidenceeagainstethee nullehypothesis.
CLO1-5:eDescribeehowetoecarryeouteaetheory-based,eone-proportionez-test.


Section 1.1: Introduction to Chance Models
e e e e e



LO1.1-1:eRecognizeetheedifferenceebetweeneparameterseandestatistics.
LO1.1-2:eDescribeehowetoeuseecoinetossingetoesimulateeoutcomesefromeae chanceemodeleofetheeran-
edomechoiceebetweene twoe events.


LO1.1-3:eUseetheeOneeProportioneappletetoecarryeoutetheecoinetossingesimulation.
LO1.1-
4:eIdentifyewhethereorenotestudyeresultseareestatisticallyesignificanteandewhethereorenotetheechan
ceemodeleiseaeplausibleeexplanationeforetheedata.
LO1.1-
5:eImplementethee3Sestrategy:efindeaestatistic,esimulateeresultsefromeaechanceemodel,eandecomm
enteonestrengtheofeevidenceeagainsteobservedestudyeresultsehappeningebyechanceealone.
LO1.1-
6:eDifferentiateebetweenesayingetheechanceemodeleiseplausibleeandetheechanceemodeleisetheecorrect
eexplanationeforetheeobservededata.



FOReINSTRUCTOReUSEeONLY

, 1-2 TesteBankeforeIntroductionetoeStatisticaleInvestigations,e2ndeEdition


Questionse1ethroughe4:
DoeredeuniformewearersetendetoewinemoreeoftenethanethoseewearingeblueeuniformseineTaekwond
oematchesewhereecompetitorseareerandomlyeassignedetoeweareeithereaeredeoreblueeuniform?eIneae
sampleeofe80eTaekwondoematches,ethereeweree45ematchesewhereetheeredeuniformewearerewon.
1. Whateisetheeparametereofeinteresteforethisestudy?
A. Theelong-runeproportioneofeTaekwondoematcheseinewhichetheeredeuniformewearerewins
B. Theeproportioneofematcheseinewhichetheeredeuniformewearerewinseineaesampleeofe80eTaek
wondoematches
C. Whetheretheeredeuniformewearerewinseaematch
D.e 0.50
Ans:eA;eLO:e1.1-1;eDifficulty:eEasy;eType:eMC
2. Whateisetheestatisticeforethisestudy?
A. Theelong-runeproportioneofeTaekwondoematcheseinewhichetheeredeuniformewearerewins
B. Theeproportioneofematcheseinewhichetheeredeuniformewearerewinseineaesampleeofe80eTaek
wondoematches
C. Whetheretheeredeuniformewearerewinseaematch
D.e 0.50
Ans:eB;eLO:e1.1-1;eDifficulty:eEasy;eType:eMC
3. Givenebeloweisetheesimulatededistributioneofetheenumbereofe―redewins‖ethatecouldehappenebyechan
ceealoneeineaesampleeofe80ematches.eBasedeonethisesimulation,eiseoureobservederesultestatisticallyesi
gnificant?




A. Yes,esincee45eiselargerethane40.
B. Yes,esinceetheeheighteofetheedotploteabovee45eisesmallerethanetheeheighteofetheedotpl
oteabovee40.
C. No,esincee45eiseaefairlyetypicaleoutcomeeifetheecoloreofetheewinner‘seuniformewasedeter
minedebyechanceealone.


FOReINSTRUCTOReUSEeONLY

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