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TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version

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TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest...

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  • 3 de noviembre de 2024
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TEST BANK
Introduction to Statistical Investigations,
2nd Edition by Tintle Chance
Chapters 1 - 11, Complete




TABLE OF CONTENTS
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FORgINSTRUCTORgUSEgONLY

,Chapter 1 – Significance: How Strong is the Evidence
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Chapter 2 –g g




g 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
g g g g g g g g




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




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




Chapter 10 – Two Quantitative Variables
g g g g g g




Chapter 11 – Modeling Randomness
g g g g




FORgINSTRUCTORgUSEgONLY

,Chapter 1 g




Note:gggTEg =g Textgentry TE-Ng=gTextgentryg-
NumericgMag =g Matching
g MSg =g Multiplegselect
MCg =g Multiplegchoice TFg=gTrue-

FalsegEg=gEasy,gMg=gMedium,g Hg=gHard


CHAPTER 1 LEARNING OBJECTIVES
g g g


CLO1-1:gUsegthegchancegmodelgtogdeterminegwhethergangobservedgstatisticgisgunlikelygtogoccur.
CLO1-2:gCalculategandginterpretgagp-
value,gandgstategthegstrengthgofgevidencegitgprovidesgagainstgthegnullghypothesis.
CLO1-
3:gCalculategagstandardizedgstatisticgforgagsinglegproportiongandgevaluategthegstrengthgofgevidence
gitgprovidesgagainstgagnullghypothesis.


CLO1-
4:gDescribeghowgthegdistancegofgthegobservedgstatisticgfromgthegparametergvaluegspecifiedgbygthegnullg
hypothesis,gsamplegsize,gandgone-gvs.gtwo-
sidedgtestsgaffectgthegstrengthg ofgevidencegagainstgtheg nullghypothesis.
CLO1-5:gDescribeghowgtogcarrygoutgagtheory-based,gone-proportiongz-test.


Section 1.1: Introduction to Chance Models
g g g g g



LO1.1-1:gRecognizegthegdifferencegbetweengparametersgandgstatistics.
LO1.1-2:gDescribeghowgtogusegcoingtossinggtogsimulategoutcomesgfromgagchanceg modelgofgthegran-
gdomgchoicegbetweengtwog events.


LO1.1-3:gUsegthegOnegProportiongappletgtogcarrygoutgthegcoingtossinggsimulation.
LO1.1-
4:gIdentifygwhethergorgnotgstudygresultsgaregstatisticallygsignificantgandgwhethergorgnotgthegchanceg
modelgisgagplausiblegexplanationgforgthegdata.
LO1.1-
5:gImplementgtheg3Sgstrategy:gfindgagstatistic,gsimulategresultsgfromgagchancegmodel,gandgcomment
gongstrengthgofgevidencegagainstgobservedgstudygresultsghappeninggbygchancegalone.


LO1.1-
6:gDifferentiategbetweengsayinggthegchancegmodelgisgplausiblegandgthegchancegmodelgisgthegcorrectgex
planationgforgthegobservedgdata.



FORgINSTRUCTORgUSEgONLY

, 1-2 TestgBankgforgIntroductiongtogStatisticalgInvestigations,g2ndgEdition


Questionsg1gthroughg4:
DogredguniformgwearersgtendgtogwingmoregoftengthangthosegwearinggblueguniformsgingTaekwondog
matchesgwheregcompetitorsgaregrandomlygassignedgtogweargeithergagredgorgblueguniform?gIngagsamp
legofg80gTaekwondogmatches,gtheregwereg45gmatchesgwheregthegr edguniformgwearergwon.
1. Whatgisgthegparametergofginterestgforgthisgstudy?
A. Theglong-rungproportiongofgTaekwondogmatchesgingwhichgthegredguniformgwearergwins
B. Thegproportiongofgmatchesgingwhichgthegredguniformgwearergwinsgingagsamplegofg80gTaekwo
ndog matches
C. Whethergthegredguniformgwearergwinsgagmatch
D.g 0.50
Ans:gA;gLO:g1.1-1;gDifficulty:gEasy;gType:gMC
2. Whatgisgthegstatisticgforgthisgstudy?
A. Theglong-rungproportiongofgTaekwondogmatchesgingwhichgthegredguniformgwearergwins
B. Thegproportiongofgmatchesgingwhichgthegredguniformgwearergwinsgingagsamplegofg80gTaekwo
ndog matches
C. Whethergthegredguniformgwearergwinsgagmatch
D.g 0.50
Ans:gB;gLO:g1.1-1;gDifficulty:gEasy;gType:gMC
3. Givengbelowgisgthegsimulatedgdistributiongofgthegnumbergofg―redgwins‖gthatgcouldghappengbygchanceg
alonegingagsamplegofg80gmatches.gBasedgongthisgsimulation,gisgourgobservedgresultgstatisticallygsignifi
cant?




A. Yes,gsinceg45g isglargergthang40.
B. Yes,gsincegthegheightgofgthegdotplotgaboveg45gisgsmallergthangthegheightgofgthegdotplotga
boveg40.
C. No,gsinceg45gisgagfairlygtypicalgoutcomegifgthegcolorgofgthegwinner‘sguniformgwasgdeter
minedgbygchancegalone.




FORgINSTRUCTORgUSEgONLY

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