COMPLETE - Elaborated Test Bank for Introduction to Statistical Investigations 2Ed. by N.Tintle, B.Chance, G.W.Cobb, A.J.Rossman, S.Roy, T.Swanson, J.VanderStoep. ALL Chapters 1-11 Included and updated for 2023

TEST BANK s s




Introduction to Statistical Investigations,
s s s s




2nd Edition Nathan Tintle; Beth L. Chance C
s s s s s s s




hapters 1 - 11, Complete
s s s s




FORsINSTRUCTORsUSEsONLY

,TABLE OF CONTENTS
s s s




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




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




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




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




Chapter 5 – Comparing Two Proportions
s s s s s s




Chapter 6 – Comparing Two Means
s s s s s s




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




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




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




Chapter 10 – Two Quantitative Variables
s s s s s s




Chapter 11 – Modeling Randomness
s s s s




FORsINSTRUCTORsUSEsONLY

,Chapter 1 s




Note:sssTEs =s Textsentry TE-Ns=sTextsentrys-
sNumericsMas =s Matching MSs =s Multiplesselect
MCs =s Multipleschoice TFs=sTrue-

FalsesEs=sEasy,sMs=sMedium,sHs=sHard


CHAPTER 1 LEARNING OBJECTIVES
s s s



CLO1-1:sUsestheschancesmodelstosdetermineswhethersansobservedsstatisticsissunlikelystosoccur.
CLO1-2:sCalculatesandsinterpretsasp-
value,sandsstatesthesstrengthsofsevidencesitsprovidessagainststhesnullshypothesis.
CLO1-
3:sCalculatesasstandardizedsstatisticsforsassinglesproportionsandsevaluatesthesstrengthsofsevidenc
esitsprovidessagainstsasnullshypothesis.
CLO1-
4:sDescribeshowsthesdistancesofsthesobservedsstatisticsfromsthesparametersvaluesspecifiedsbysthesnul
lshypothesis,ssamplessize,sandsone-svs.stwo-
sidedstestssaffectsthesstrengthsofsevidencesagainststhesnullshypothesis.
CLO1-5:sDescribeshowstoscarrysoutsastheory-based,sone-proportionsz-test.


Section 1.1: Introduction to Chance Models
s s s s s



LO1.1-1:sRecognizesthesdifferencesbetweensparameterssandsstatistics.
LO1.1-2:sDescribeshowstosusescoinstossingstossimulatesoutcomessfromsaschancesmodelsofsthesran-
sdomschoices betweens twos events.


LO1.1-3:sUsesthesOnesProportionsappletstoscarrysoutsthescoinstossingssimulation.
LO1.1-
4:sIdentifyswhethersorsnotsstudysresultssaresstatisticallyssignificantsandswhethersorsnotstheschanc
esmodelsissasplausiblesexplanationsforsthesdata.
LO1.1-
5:sImplementsthes3Ssstrategy:sfindsasstatistic,ssimulatesresultssfromsaschancesmodel,sandscomme
ntsonsstrengthsofsevidencesagainstsobservedsstudysresultsshappeningsbyschancesalone.
LO1.1-
6:sDifferentiatesbetweenssayingstheschancesmodelsissplausiblesandstheschancesmodelsissthescorrectse
xplanationsforsthesobservedsdata.
FORsINSTRUCTORsUSEsONLY

, 1-2 TestsBanksforsIntroductionstosStatisticalsInvestigations,s2ndsEdition


Questionss1sthroughs4:
DosredsuniformswearersstendstoswinsmoresoftensthansthoseswearingsbluesuniformssinsTaekwondos
matchesswherescompetitorssaresrandomlysassignedstoswearseithersasredsorsbluesuniform?sInsassam
plesofs80sTaekwondosmatches,stheresweres45smatchesswheresthesredsuniformswearerswon.
1. Whatsissthesparametersofsinterestsforsthissstudy?
A. Theslong-runsproportionsofsTaekwondosmatchessinswhichsthesredsuniformswearerswins
B. Thesproportionsofsmatchessinswhichsthesredsuniformswearerswinssinsassamplesofs80sTaekwo
ndosmatches
C. Whethersthesredsuniformswearerswinssasmatch
D.s 0.50
Ans:sA;sLO:s1.1-1;sDifficulty:sEasy;sType:sMC
2. Whatsissthesstatisticsforsthissstudy?
A. Theslong-runsproportionsofsTaekwondosmatchessinswhichsthesredsuniformswearerswins
B. Thesproportionsofsmatchessinswhichsthesredsuniformswearerswinssinsassamplesofs80sTaekwo
ndosmatches
C. Whethersthesredsuniformswearerswinssasmatch
D.s 0.50
Ans:sB;sLO:s1.1-1;sDifficulty:sEasy;sType:sMC
3. Givensbelowsissthessimulatedsdistributionsofsthesnumbersofs―redswins‖sthatscouldshappensbyschance
salonesinsassamplesofs80smatches.sBasedsonsthisssimulation,sissoursobservedsresultsstatisticallyssignifi

cant?




A. Yes,ssinces45sisslargersthans40.
B. Yes,ssincesthesheightsofsthesdotplotsaboves45sisssmallersthansthesheightsofsthesdotplots
aboves40.
C. No,ssinces45sissasfairlystypicalsoutcomesifsthescolorsofstheswinner‘ssuniformswassdeterm
inedsbyschancesalone.


FORsINSTRUCTORsUSEsONLY