Test Bank for Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle, Beth L. Chance – Complete Chapters 1-11 with Answers

TEST BANK k k




Introduction to Statistical Investigations,
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2nd Edition Nathan Tintle; Beth L. Chance
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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 k




Note:kkkTEk =k Textkentry TE-Nk=kTextkentryk-
kNumerickMak =k Matching MSk =k Multiplekselect
MCk =k Multiplekchoice TFk=kTrue-

FalsekEk=kEasy,kMk=kMedium,kHk=kHard


CHAPTER 1 LEARNING OBJECTIVES
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CLO1-1:kUsekthekchancekmodelktokdeterminekwhetherkankobservedkstatistickiskunlikelyktokoccur.
CLO1-2:kCalculatekandkinterpretkakp-
value,kandkstatekthekstrengthkofkevidencekitkprovideskagainstktheknullkhypothesis.
CLO1-
3:kCalculatekakstandardizedkstatistickforkaksinglekproportionkandkevaluatekthekstrengthkofkeviden
cekitkprovideskagainstkaknullkhypothesis.
CLO1-
4:kDescribekhowkthekdistancekofkthekobservedkstatistickfromkthekparameterkvaluekspecifiedkbykthekn
ullkhypothesis,ksampleksize,kandkone-kvs.ktwo-
sidedktestskaffectkthekstrengthkofkevidencekagainstktheknullkhypothesis.
CLO1-5:kDescribekhowktokcarrykoutkaktheory-based,kone-proportionkz-test.


Section 1.1: Introduction to Chance Models
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LO1.1-1:kRecognizekthekdifferencekbetweenkparameterskandkstatistics.
LO1.1-2:kDescribekhowktokusekcoinktossingktoksimulatekoutcomeskfromkakchancekmodelkofkthekran-
kdomkchoicek betweenk twokevents.


LO1.1-3:kUsekthekOnekProportionkappletktokcarrykoutkthekcoinktossingksimulation.
LO1.1-
4:kIdentifykwhetherkorknotkstudykresultskarekstatisticallyksignificantkandkwhetherkorknotkthekchanc
ekmodelkiskakplausiblekexplanationkforkthekdata.
LO1.1-
5:kImplementkthek3Skstrategy:kfindkakstatistic,ksimulatekresultskfromkakchancekmodel,kandkcomme
ntkonkstrengthkofkevidencekagainstkobservedkstudykresultskhappeningkbykchancekalone.
LO1.1-
6:kDifferentiatekbetweenksayingkthekchancekmodelkiskplausiblekandkthekchancekmodelkiskthekcorrectk
explanationkforkthekobservedkdata.
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, 1-2 TestkBankkforkIntroductionktokStatisticalkInvestigations,k2ndkEdition


Questionsk1kthroughk4:
DokredkuniformkwearersktendktokwinkmorekoftenkthankthosekwearingkbluekuniformskinkTaekwondo
kmatcheskwherekcompetitorskarekrandomlykassignedktokwearkeitherkakredkorkbluekuniform?kInkaksa

mplekofk80kTaekwondokmatches,ktherekwerek45kmatcheskwherekthekredkuniformkwearerkwon.
1. Whatkiskthekparameterkofkinterestkforkthiskstudy?
A. Theklong-runkproportionkofkTaekwondokmatcheskinkwhichkthekredkuniformkwearerkwins
B. Thekproportionkofkmatcheskinkwhichkthekredkuniformkwearerkwinskinkaksamplekofk80kTaekw
ondok matches
C. Whetherkthekredkuniformkwearerkwinskakmatch
D.k 0.50
Ans:kA;kLO:k1.1-1;kDifficulty:kEasy;kType:kMC
2. Whatkiskthekstatistickforkthiskstudy?
A. Theklong-runkproportionkofkTaekwondokmatcheskinkwhichkthekredkuniformkwearerkwins
B. Thekproportionkofkmatcheskinkwhichkthekredkuniformkwearerkwinskinkaksamplekofk80kTaekw
ondok matches
C. Whetherkthekredkuniformkwearerkwinskakmatch
D.k 0.50
Ans:kB;kLO:k1.1-1;kDifficulty:kEasy;kType:kMC
3. Givenkbelowkisktheksimulatedkdistributionkofktheknumberkofk―redkwins‖kthatkcouldkhappenkbykchanc
ekalonekinkaksamplekofk80kmatches.kBasedkonkthisksimulation,kiskourkobservedkresultkstatisticallyksig
nificant?




A. Yes,ksincek45kisklargerkthank40.
B. Yes,ksincekthekheightkofkthekdotplotkabovek45kisksmallerkthankthekheightkofkthekdotplo
tkabovek40.
C. No,ksincek45kiskakfairlyktypicalkoutcomekifkthekcolorkofkthekwinner‘skuniformkwaskdeter
minedkbykchancekalone.


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