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
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,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.
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, 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.
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