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

TEST BANK
Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
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 q




Note:qqqTEq =q Textqentry TE-Nq=qTextqentryq-
qNumericqMaq =q Matching MSq =q Multipleqselect
MCq =q Multipleqchoice TFq=qTrue-

FalseqEq=qEasy,qMq=qMedium,qHq=qHard


CHAPTERq1qLEARNINGqOBJECTIVES
CLO1-1:qUseqtheqchanceqmodelqtoqdetermineqwhetherqanqobservedqstatisticqisqunlikelyqtoqoccur.
CLO1-2:qCalculateqandqinterpretqaqp-
value,qandqstateqtheqstrengthqofqevidenceqitqprovidesqagainstqtheqnullqhypothesis.
CLO1-
3:qCalculateqaqstandardizedqstatisticqforqaqsingleqproportionqandqevaluateqtheqstrengthqofqevid
enceqitqprovidesqagainstqaqnullqhypothesis.
CLO1-
4:qDescribeqhowqtheqdistanceqofqtheqobservedqstatisticqfromqtheqparameterqvalueqspecifiedqbyqth
eqnullqhypothesis,qsampleqsize,qandqone-qvs.qtwo-
sidedqtestsqaffectqtheqstrengthqofqevidenceqagainstqtheqnullqhypothesis.
CLO1-5:qDescribeqhowqtoqcarryqoutqaqtheory-based,qone-proportionqz-test.


Section 1.1: Introduction to Chance Models
q q q q q


LO1.1-1:qRecognizeqtheqdifferenceqbetweenqparametersqandqstatistics.
LO1.1-2:qDescribeqhowqtoquseqcoinqtossingqtoqsimulateqoutcomesqfromqaqchanceqmodelqofqtheqran-
qdomqchoiceq betweenq twoqevents.


LO1.1-3:qUseqtheqOneqProportionqappletqtoqcarryqoutqtheqcoinqtossingqsimulation.
LO1.1-
4:qIdentifyqwhetherqorqnotqstudyqresultsqareqstatisticallyqsignificantqandqwhetherqorqnotqtheqch
anceqmodelqisqaqplausibleqexplanationqforqtheqdata.
LO1.1-
5:qImplementqtheq3Sqstrategy:qfindqaqstatistic,qsimulateqresultsqfromqaqchanceqmodel,qandqcom
mentqonqstrengthqofqevidenceqagainstqobservedqstudyqresultsqhappeningqbyqchanceqalone.
LO1.1-
6:qDifferentiateqbetweenqsayingqtheqchanceqmodelqisqplausibleqandqtheqchanceqmodelqisqtheqcorr
ectqexplanationqforqtheqobservedqdata.
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, 1-2 TestqBankqforqIntroductionqtoqStatisticalqInvestigations,q2ndqEdition


Questionsq1qthroughq4:
DoqredquniformqwearersqtendqtoqwinqmoreqoftenqthanqthoseqwearingqbluequniformsqinqTaekwo
ndoqmatchesqwhereqcompetitorsqareqrandomlyqassignedqtoqwearqeitherqaqredqorqbluequniform?q
Inqaqsampleqofq80qTaekwondoqmatches,qthereqwereq45qmatchesqwhereqtheqredquniformqwearerq
won.
1. Whatqisqtheqparameterqofqinterestqforqthisqstudy?
A. Theqlong-
runqproportionqofqTaekwondoqmatchesqinqwhichqtheqredquniformqwearerqwins
B. Theqproportionqofqmatchesqinqwhichqtheqredquniformqwearerqwinsqinqaqsampleqofq80qTae
kwondoqmatches
C. Whetherqtheqredquniformqwearerqwinsqaqmatch
D.q 0.50
Ans:qA;qLO:q1.1-1;qDifficulty:qEasy;qType:qMC
2. Whatqisqtheqstatisticqforqthisqstudy?
A. Theqlong-
runqproportionqofqTaekwondoqmatchesqinqwhichqtheqredquniformqwearerqwins
B. Theqproportionqofqmatchesqinqwhichqtheqredquniformqwearerqwinsqinqaqsampleqofq80qTae
kwondoqmatches
C. Whetherqtheqredquniformqwearerqwinsqaqmatch
D.q 0.50
Ans:qB;qLO:q1.1-1;qDifficulty:qEasy;qType:qMC
3. Givenqbelowqisqtheqsimulatedqdistributionqofqtheqnumberqofq―redqwins‖qthatqcouldqhappenqbyqch
anceqaloneqinqaqsampleqofq80qmatches.qBasedqonqthisqsimulation,qisqourqobservedqresultqstatistic
allyqsignificant?




A. Yes,qsinceq45qisqlargerqthanq40.
B. Yes,qsinceqtheqheightqofqtheqdotplotqaboveq45qisqsmallerqthanqtheqheightqofqtheqdot
plotqaboveq40.
C. No,qsinceq45qisqaqfairlyqtypicalqoutcomeqifqtheqcolorqofqtheqwinner‘squniformqwasqdet
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