Test Bank for Introduction to Statistical Investigations 2nd Edition by Nathan Tintle Beth L. Chance George W. Cobb All Chapters Complete Guide A+

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-
gNumericgMag =g Matching MSg =g Multiplegselect
MCg =g Multiplegchoice TFg=gTrue-

FalsegEg=gEasy,gMg=gMedium,gHg=gHard


CHAPTERg1gLEARNINGgOBJECTIVES
CLO1-1:gUsegthegchancegmodelgtogdeterminegwhethergangobservedgstatisticgisgunlikelygtogoccur.
CLO1-2:gCalculategandginterpretgagp-
value,gandgstategthegstrengthgofgevidencegitgprovidesgagainstgthegnullghypothesis.
CLO1-
3:gCalculategagstandardizedgstatisticgforgagsinglegproportiongandgevaluategthegstrengthgofgevi
dencegitgprovidesgagainstgagnullghypothesis.
CLO1-
4:gDescribeghowgthegdistancegofgthegobservedgstatisticgfromgthegparametergvaluegspecifiedgbygth
egnullghypothesis,gsamplegsize,gandgone-gvs.gtwo-
sidedgtestsgaffectgthegstrengthgofgevidencegagainstgthegnullghypothesis.
CLO1-5:gDescribeghowgtogcarrygoutgagtheory-based,gone-proportiongz-test.


Sectiong1.1:gIntroductiongtogChancegModels
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?
gIngagsamplegofg80gTaekwondogmatches,gtheregwereg45gmatchesgwheregthegredguniformgweare
rgwon.
1. Whatgisgthegparametergofginterestgforgthisgstudy?
A. Theglong-
rungproportiongofgTaekwondogmatchesgingwhichgthegredguniformgwearergwins
B. Thegproportiongofgmatchesgingwhichgthegredguniformgwearergwinsgingagsamplegofg80gTa
ekwondogmatches
C. Whethergthegredguniformgwearergwinsgagmatch
D.g 0.50
Ans:gA;gLO:g1.1-1;gDifficulty:gEasy;gType:gMC
2. Whatgisgthegstatisticgforgthisgstudy?
A. Theglong-
rungproportiongofgTaekwondogmatchesgingwhichgthegredguniformgwearergwins
B. Thegproportiongofgmatchesgingwhichgthegredguniformgwearergwinsgingagsamplegofg80gTa
ekwondogmatches
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‘sguniformgwasgde
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