Test bank for Introduction to Statistical Investigations 2nd Edition Nathan Tintle; Beth L. Chance

TEST BANK
Introduction to Statistical Investigations,
2nd Edition Nathan Tintle; Beth L. Chance
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 R




Note:RRRTER =R TextRentry TE-NR=RTextRentryR-
R NumericRMaR =R Matching MSR =R MultipleRselect
MCR =R MultipleRchoice TFR=RTrue-

FalseRER=REasy,RMR=RMedium,RHR=RHard


CHAPTER 1 LEARNING OBJECTIVES
R R R



CLO1-1:RUseRtheRchanceRmodelRtoRdetermineRwhetherRanRobservedRstatisticRisRunlikelyRtoRoccur.
CLO1-2:RCalculateRandRinterpretRaRp-
value,RandRstateRtheRstrengthRofRevidenceRitRprovidesRagainstRtheRnullRhypothesis.
CLO1-
3:RCalculateRaRstandardizedRstatisticRforRaRsingleRproportionRandRevaluateRtheRstrengthRofRevide
nceRitRprovidesRagainstRaRnullRhypothesis.
CLO1-
4:RDescribeRhowRtheRdistanceRofRtheRobservedRstatisticRfromRtheRparameterRvalueRspecifiedRbyRtheR
nullRhypothesis,RsampleRsize,RandRone-Rvs.Rtwo-
sidedRtestsRaffectRtheRstrengthRofRevidenceRagainstRtheRnullRhypothesis.
CLO1-5:RDescribeRhowRtoRcarryRoutRaRtheory-based,Rone-proportionRz-test.


Section 1.1: Introduction to Chance Models
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LO1.1-1:RRecognizeRtheRdifferenceRbetweenRparametersRandRstatistics.
LO1.1-2:RDescribeRhowRtoRuseRcoinRtossingRtoRsimulateRoutcomesRfromRaRchanceRmodelRofRtheRran-
domRchoiceRbetweenRtwoRevents.
R


LO1.1-3:RUseRtheROneRProportionRappletRtoRcarryRoutRtheRcoinRtossingRsimulation.
LO1.1-
4:RIdentifyRwhetherRorRnotRstudyRresultsRareRstatisticallyRsignificantRandRwhetherRorRnotRtheRcha
nceRmodelRisRaRplausibleRexplanationRforRtheRdata.
LO1.1-
5:RImplementRtheR3SRstrategy:RfindRaRstatistic,RsimulateRresultsRfromRaRchanceRmodel,RandRcomm
entRonRstrengthRofRevidenceRagainstRobservedRstudyRresultsRhappeningRbyRchanceRalone.
LO1.1-
6:RDifferentiateRbetweenRsayingRtheRchanceRmodelRisRplausibleRandRtheRchanceRmodelRisRtheRcorrec
tRexplanationRforRtheRobservedRdata.
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, 1-2 TestRBankRforRIntroductionRtoRStatisticalRInvestigations,R2ndREdition


QuestionsR1RthroughR4:
DoRredRuniformRwearersRtendRtoRwinRmoreRoftenRthanRthoseRwearingRblueRuniformsRinRTaekwond
oRmatchesRwhereRcompetitorsRareRrandomlyRassignedRtoRwearReitherRaRredRorRblueRuniform?RInRa
RsampleRofR80RTaekwondoRmatches,RthereRwereR45RmatchesRwhereRtheR redRuniformRwearerRwon.
1. WhatRisRtheRparameterRofRinterestRforRthisRstudy?
A. TheRlong-runRproportionRofRTaekwondoRmatchesRinRwhichRtheRredRuniformRwearerRwins
B. TheRproportionRofRmatchesRinRwhichRtheRredRuniformRwearerRwinsRinRaRsampleRofR80RTaek
wondoRmatches
C. WhetherRtheRredRuniformRwearerRwinsRaRmatch
D.R 0.50
Ans:RA;RLO:R1.1-1;RDifficulty:REasy;RType:RMC
2. WhatRisRtheRstatisticRforRthisRstudy?
A. TheRlong-runRproportionRofRTaekwondoRmatchesRinRwhichRtheRredRuniformRwearerRwins
B. TheRproportionRofRmatchesRinRwhichRtheRredRuniformRwearerRwinsRinRaRsampleRofR80RTaek
wondoRmatches
C. WhetherRtheRredRuniformRwearerRwinsRaRmatch
D.R 0.50
Ans:RB;RLO:R1.1-1;RDifficulty:REasy;RType:RMC
3. GivenRbelowRisRtheRsimulatedRdistributionRofRtheRnumberRofR―redRwins‖RthatRcouldRhappenRbyRcha
nceRaloneRinRaRsampleRofR80Rmatches.RBasedRonRthisRsimulation,RisRourRobservedRresultRstatistically
Rsignificant?




A. Yes,RsinceR45RisRlargerRthanR40.
B. Yes,RsinceRtheRheightRofRtheRdotplotRaboveR45RisRsmallerRthanRtheRheightRofRtheRdotpl
otRaboveR40.
C. No,RsinceR45RisRaRfairlyRtypicalRoutcomeRifRtheRcolorRofRtheRwinner‘sRuniformRwasRdete
rminedRbyRchanceRalone.


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