TEST BANK
Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FORHINSTRUCTORHUSEHONL
Y
,TABLE OF CONTENTS
H H H
Chapter 1 – Significance: How Strong is the Evidence
H H H H H H H H H
Chapter 2 – Generalization: How Broadly Do the Results Apply?
H H H H H H H H H H
Chapter 3 – Estimation: How Large is the Effect?
H H H H H H H H H
Chapter 4 – Causation: Can We Say What Caused the Effect?
H H H H H H H H H H H
Chapter 5 – Comparing Two Proportions
H H H H H H
Chapter 6 – Comparing Two Means
H H H H H H
Chapter 7 – Paired Data: One Quantitative Variable
H H H H H H H H
Chapter 8 – Comparing More Than Two Proportions
H H H H H H H H
Chapter 9 – Comparing More Than Two Means
H H H H H H H H
Chapter 10 – Two Quantitative Variables
H H H H H H
Chapter 11 – Modeling Randomness
H H H H
FORHINSTRUCTORHUSEHONL
Y
,Chapter 1 H
Note:HHHTEH =H TextHentry TE-NH=HTextHentryH-
HNumericHMaH =H Matching MSH =H MultipleHselect
MCH =H MultipleHchoice TFH=HTrue-
FalseHEH=HEasy,HMH=HMedium,HHH=HHard
CHAPTERH1HLEARNINGHOBJECTIVES
CLO1-1:HUseHtheHchanceHmodelHtoHdetermineHwhetherHanHobservedHstatisticHisHunlikelyHtoHoccur.
CLO1-2:HCalculateHandHinterpretHaHp-
value,HandHstateHtheHstrengthHofHevidenceHitHprovidesHagainstHtheHnullHhypothesis.
CLO1-
3:HCalculateHaHstandardizedHstatisticHforHaHsingleHproportionHandHevaluateHtheHstrengthHofHev
idenceHitHprovidesHagainstHaHnullHhypothesis.
CLO1-
4:HDescribeHhowHtheHdistanceHofHtheHobservedHstatisticHfromHtheHparameterHvalueHspecifiedHbyHt
heHnullHhypothesis,HsampleHsize,HandHone-Hvs.Htwo-
sidedHtestsHaffectHtheHstrengthHofHevidenceHagainstHtheHnullHhypothesis.
CLO1-5:HDescribeHhowHtoHcarryHoutHaHtheory-based,Hone-proportionHz-test.
Section 1.1: Introduction to Chance Models
H H H H H
LO1.1-1:HRecognizeHtheHdifferenceHbetweenHparametersHandHstatistics.
LO1.1-2:HDescribeHhowHtoHuseHcoinHtossingHtoHsimulateHoutcomesHfromHaHchanceHmodelHofHtheHran-
HdomHchoiceH betweenH twoH events.
LO1.1-3:HUseHtheHOneHProportionHappletHtoHcarryHoutHtheHcoinHtossingHsimulation.
LO1.1-
4:HIdentifyHwhetherHorHnotHstudyHresultsHareHstatisticallyHsignificantHandHwhetherHorHnotHtheHc
hanceHmodelHisHaHplausibleHexplanationHforHtheHdata.
LO1.1-
5:HImplementHtheH3SHstrategy:HfindHaHstatistic,HsimulateHresultsHfromHaHchanceHmodel,HandHco
mmentHonHstrengthHofHevidenceHagainstHobservedHstudyHresultsHhappeningHbyHchanceHalone.
LO1.1-
6:HDifferentiateHbetweenHsayingHtheHchanceHmodelHisHplausibleHandHtheHchanceHmodelHisHtheHcor
rectHexplanationHforHtheHobservedHdata.
FORHINSTRUCTORHUSEHONL
Y
, 1-2 TestHBankHforHIntroductionHtoHStatisticalHInvestigations,H2ndHEdition
QuestionsH1HthroughH4:
DoHredHuniformHwearersHtendHtoHwinHmoreHoftenHthanHthoseHwearingHblueHuniformsHinHTaekw
ondoHmatchesHwhereHcompetitorsHareHrandomlyHassignedHtoHwearHeitherHaHredHorHblueHunifor
m?HInHaHsampleHofH80HTaekwondoHmatches,HthereHwereH45HmatchesHwhereHtheHredHuniformHw
earerHwon.
1. WhatHisHtheHparameterHofHinterestHforHthisHstudy?
A. TheHlong-
runHproportionHofHTaekwondoHmatchesHinHwhichHtheHredHuniformHwearerHwins
B. TheHproportionHofHmatchesHinHwhichHtheHredHuniformHwearerHwinsHinHaHsampleHofH80HT
aekwondoH matches
C. WhetherHtheHredHuniformHwearerHwinsHaHmatch
D.H 0.50
Ans:HA;HLO:H1.1-1;HDifficulty:HEasy;HType:HMC
2. WhatHisHtheHstatisticHforHthisHstudy?
A. TheHlong-
runHproportionHofHTaekwondoHmatchesHinHwhichHtheHredHuniformHwearerHwins
B. TheHproportionHofHmatchesHinHwhichHtheHredHuniformHwearerHwinsHinHaHsampleHofH80HT
aekwondoH matches
C. WhetherHtheHredHuniformHwearerHwinsHaHmatch
D.H 0.50
Ans:HB;HLO:H1.1-1;HDifficulty:HEasy;HType:HMC
3. GivenHbelowHisHtheHsimulatedHdistributionHofHtheHnumberHofH―redHwins‖HthatHcouldHhappenHbyH
chanceHaloneHinHaHsampleHofH80Hmatches.HBasedHonHthisHsimulation,HisHourHobservedHresultHstat
isticallyHsignificant?
A. Yes,HsinceH45HisHlargerHthanH40.
B. Yes,HsinceHtheHheightHofHtheHdotplotHaboveH45HisHsmallerHthanHtheHheightHofHtheHd
otplotHaboveH40.
C. No,HsinceH45HisHaHfairlyHtypicalHoutcomeHifHtheHcolorHofHtheHwinner‘sHuniformHwasHd
FORHINSTRUCTORHUSEHONL
Y
Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FORHINSTRUCTORHUSEHONL
Y
,TABLE OF CONTENTS
H H H
Chapter 1 – Significance: How Strong is the Evidence
H H H H H H H H H
Chapter 2 – Generalization: How Broadly Do the Results Apply?
H H H H H H H H H H
Chapter 3 – Estimation: How Large is the Effect?
H H H H H H H H H
Chapter 4 – Causation: Can We Say What Caused the Effect?
H H H H H H H H H H H
Chapter 5 – Comparing Two Proportions
H H H H H H
Chapter 6 – Comparing Two Means
H H H H H H
Chapter 7 – Paired Data: One Quantitative Variable
H H H H H H H H
Chapter 8 – Comparing More Than Two Proportions
H H H H H H H H
Chapter 9 – Comparing More Than Two Means
H H H H H H H H
Chapter 10 – Two Quantitative Variables
H H H H H H
Chapter 11 – Modeling Randomness
H H H H
FORHINSTRUCTORHUSEHONL
Y
,Chapter 1 H
Note:HHHTEH =H TextHentry TE-NH=HTextHentryH-
HNumericHMaH =H Matching MSH =H MultipleHselect
MCH =H MultipleHchoice TFH=HTrue-
FalseHEH=HEasy,HMH=HMedium,HHH=HHard
CHAPTERH1HLEARNINGHOBJECTIVES
CLO1-1:HUseHtheHchanceHmodelHtoHdetermineHwhetherHanHobservedHstatisticHisHunlikelyHtoHoccur.
CLO1-2:HCalculateHandHinterpretHaHp-
value,HandHstateHtheHstrengthHofHevidenceHitHprovidesHagainstHtheHnullHhypothesis.
CLO1-
3:HCalculateHaHstandardizedHstatisticHforHaHsingleHproportionHandHevaluateHtheHstrengthHofHev
idenceHitHprovidesHagainstHaHnullHhypothesis.
CLO1-
4:HDescribeHhowHtheHdistanceHofHtheHobservedHstatisticHfromHtheHparameterHvalueHspecifiedHbyHt
heHnullHhypothesis,HsampleHsize,HandHone-Hvs.Htwo-
sidedHtestsHaffectHtheHstrengthHofHevidenceHagainstHtheHnullHhypothesis.
CLO1-5:HDescribeHhowHtoHcarryHoutHaHtheory-based,Hone-proportionHz-test.
Section 1.1: Introduction to Chance Models
H H H H H
LO1.1-1:HRecognizeHtheHdifferenceHbetweenHparametersHandHstatistics.
LO1.1-2:HDescribeHhowHtoHuseHcoinHtossingHtoHsimulateHoutcomesHfromHaHchanceHmodelHofHtheHran-
HdomHchoiceH betweenH twoH events.
LO1.1-3:HUseHtheHOneHProportionHappletHtoHcarryHoutHtheHcoinHtossingHsimulation.
LO1.1-
4:HIdentifyHwhetherHorHnotHstudyHresultsHareHstatisticallyHsignificantHandHwhetherHorHnotHtheHc
hanceHmodelHisHaHplausibleHexplanationHforHtheHdata.
LO1.1-
5:HImplementHtheH3SHstrategy:HfindHaHstatistic,HsimulateHresultsHfromHaHchanceHmodel,HandHco
mmentHonHstrengthHofHevidenceHagainstHobservedHstudyHresultsHhappeningHbyHchanceHalone.
LO1.1-
6:HDifferentiateHbetweenHsayingHtheHchanceHmodelHisHplausibleHandHtheHchanceHmodelHisHtheHcor
rectHexplanationHforHtheHobservedHdata.
FORHINSTRUCTORHUSEHONL
Y
, 1-2 TestHBankHforHIntroductionHtoHStatisticalHInvestigations,H2ndHEdition
QuestionsH1HthroughH4:
DoHredHuniformHwearersHtendHtoHwinHmoreHoftenHthanHthoseHwearingHblueHuniformsHinHTaekw
ondoHmatchesHwhereHcompetitorsHareHrandomlyHassignedHtoHwearHeitherHaHredHorHblueHunifor
m?HInHaHsampleHofH80HTaekwondoHmatches,HthereHwereH45HmatchesHwhereHtheHredHuniformHw
earerHwon.
1. WhatHisHtheHparameterHofHinterestHforHthisHstudy?
A. TheHlong-
runHproportionHofHTaekwondoHmatchesHinHwhichHtheHredHuniformHwearerHwins
B. TheHproportionHofHmatchesHinHwhichHtheHredHuniformHwearerHwinsHinHaHsampleHofH80HT
aekwondoH matches
C. WhetherHtheHredHuniformHwearerHwinsHaHmatch
D.H 0.50
Ans:HA;HLO:H1.1-1;HDifficulty:HEasy;HType:HMC
2. WhatHisHtheHstatisticHforHthisHstudy?
A. TheHlong-
runHproportionHofHTaekwondoHmatchesHinHwhichHtheHredHuniformHwearerHwins
B. TheHproportionHofHmatchesHinHwhichHtheHredHuniformHwearerHwinsHinHaHsampleHofH80HT
aekwondoH matches
C. WhetherHtheHredHuniformHwearerHwinsHaHmatch
D.H 0.50
Ans:HB;HLO:H1.1-1;HDifficulty:HEasy;HType:HMC
3. GivenHbelowHisHtheHsimulatedHdistributionHofHtheHnumberHofH―redHwins‖HthatHcouldHhappenHbyH
chanceHaloneHinHaHsampleHofH80Hmatches.HBasedHonHthisHsimulation,HisHourHobservedHresultHstat
isticallyHsignificant?
A. Yes,HsinceH45HisHlargerHthanH40.
B. Yes,HsinceHtheHheightHofHtheHdotplotHaboveH45HisHsmallerHthanHtheHheightHofHtheHd
otplotHaboveH40.
C. No,HsinceH45HisHaHfairlyHtypicalHoutcomeHifHtheHcolorHofHtheHwinner‘sHuniformHwasHd
FORHINSTRUCTORHUSEHONL
Y
