Test Bank For Intermediate Statistical Investigations, 1st Edition All Chapters - 9781119634423.pdf

TEST BANK G G




Introduction to Statistical Investigations,
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2nd Edition Nathan Tintle; Beth L. Chance C
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hapters 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 G




Note:GGGTEG =G TextGentry TE-NG=GTextGentryG-
G NumericGMaG =G Matching MSG =G MultipleGselect
MCG =G MultipleGchoice TFG=GTrue-

FalseGEG=GEasy,GMG=GMedium,GHG=GHard


CHAPTER 1 LEARNING OBJECTIVES
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CLO1-1:GUseGtheGchanceGmodelGtoGdetermineGwhetherGanGobservedGstatisticGisGunlikelyGtoGoccur.
CLO1-2:GCalculateGandGinterpretGaGp-
value,GandGstateGtheGstrengthGofGevidenceGitGprovidesGagainstGtheGnullGhypothesis.
CLO1-
3:GCalculateGaGstandardizedGstatisticGforGaGsingleGproportionGandGevaluateGtheGstrengthGofGevid
enceGitGprovidesGagainstGaGnullGhypothesis.
CLO1-
4:GDescribeGhowGtheGdistanceGofGtheGobservedGstatisticGfromGtheGparameterGvalueGspecifiedGbyGth
eGnullGhypothesis,GsampleGsize,GandGone-Gvs.Gtwo-
sidedGtestsGaffectGtheGstrengthGofGevidenceGagainstGtheGnullGhypothesis.
CLO1-5:GDescribeGhowGtoGcarryGoutGaGtheory-based,Gone-proportionGz-test.


Section 1.1: Introduction to Chance Models
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LO1.1-1:GRecognizeGtheGdifferenceGbetweenGparametersGandGstatistics.
LO1.1-2:GDescribeGhowGtoGuseGcoinGtossingGtoGsimulateGoutcomesGfromGaGchanceGmodelGofGtheGran-
GdomGchoiceGbetweenGtwoGevents.
LO1.1-3:GUseGtheGOneGProportionGappletGtoGcarryGoutGtheGcoinGtossingGsimulation.
LO1.1-
4:GIdentifyGwhetherGorGnotGstudyGresultsGareGstatisticallyGsignificantGandGwhetherGorGnotGtheGch
anceGmodelGisGaGplausibleGexplanationGforGtheGdata.
LO1.1-
5:GImplementGtheG3SGstrategy:GfindGaGstatistic,GsimulateGresultsGfromGaGchanceGmodel,GandGcom
mentGonGstrengthGofGevidenceGagainstGobservedGstudyGresultsGhappeningGbyGchanceGalone.
LO1.1-
6:GDifferentiateGbetweenGsayingGtheGchanceGmodelGisGplausibleGandGtheGchanceGmodelGisGtheGcorr
ectGexplanationGforGtheGobservedGdata.
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, 1-2 TestGBankGforGIntroductionGtoGStatisticalGInvestigations,G2ndGEdition


QuestionsG1GthroughG4:
DoGredGuniformGwearersGtendGtoGwinGmoreGoftenGthanGthoseGwearingGblueGuniformsGinGTaekwo
ndoGmatchesGwhereGcompetitorsGareGrandomlyGassignedGtoGwearGeitherGaGredGorGblueGuniform?G
InGaGsampleGofG80GTaekwondoGmatches,GthereGwereG45GmatchesGwhereGtheGredGuniformGwearerG
won.
1. WhatGisGtheGparameterGofGinterestGforGthisGstudy?
A. TheGlong-
runGproportionGofGTaekwondoGmatchesGinGwhichGtheGredGuniformGwearerGwins
B. TheGproportionGofGmatchesGinGwhichGtheGredGuniformGwearerGwinsGinGaGsampleGofG80GTae
kwondoGmatches
C. WhetherGtheGredGuniformGwearerGwinsGaGmatch
D.G 0.50
Ans:GA;GLO:G1.1-1;GDifficulty:GEasy;GType:GMC
2. WhatGisGtheGstatisticGforGthisGstudy?
A. TheGlong-
runGproportionGofGTaekwondoGmatchesGinGwhichGtheGredGuniformGwearerGwins
B. TheGproportionGofGmatchesGinGwhichGtheGredGuniformGwearerGwinsGinGaGsampleGofG80GTae
kwondoGmatches
C. WhetherGtheGredGuniformGwearerGwinsGaGmatch
D.G 0.50
Ans:GB;GLO:G1.1-1;GDifficulty:GEasy;GType:GMC
3. GivenGbelowGisGtheGsimulatedGdistributionGofGtheGnumberGofG―redGwins‖GthatGcouldGhappenGbyGch
anceGaloneGinGaGsampleGofG80Gmatches.GBasedGonGthisGsimulation,GisGourGobservedGresultGstatistic
allyGsignificant?




A. Yes,GsinceG45GisGlargerGthanG40.
B. Yes,GsinceGtheGheightGofGtheGdotplotGaboveG45GisGsmallerGthanGtheGheightGofGtheGdot
plotGaboveG40.
C. No,GsinceG45GisGaGfairlyGtypicalGoutcomeGifGtheGcolorGofGtheGwinner‘sGuniformGwasGdet
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