TESTBANK
IntroductiontoStatisticalInvestigations, .
2ndEditionNathanTintle;BethL.Chance C .
hapters1-11,Complete
FOR.INSTRUCTOR.USE.ONL
,TABLE OF CONTENTS
R R
Chapter1–Significance:HowStrongistheEvidence
. . . . . . . .
Chapter2– . .
Generalization:HowBroadlyDotheResultsApply? Chapter 3 –
. . . . . . . . . .
Estimation: How Large is the Effect?
. . . . . .
Chapter4– . .
Causation:CanWeSayWhatCausedtheEffect? Chapter 5 –
. . . . . . . . . . .
Comparing Two Proportions
. . .
Chapter6–ComparingTwoMeans
. . . . .
Chapter7– . .
PairedData:OneQuantitative Variable Chapter8–
. . . . . . . .
ComparingMore ThanTwoProportions Chapter 9 –
. . . . . . . .
Comparing More Than Two Means Chapter 10 –
. . . . . . . .
Two Quantitative Variables
. . .
Chapter11–ModelingRandomness
. . . .
FOR.INSTRUCTOR.USE.ONL
,Chapter 1 .
Note:. TE. =. Text.entry TE-N.=.Text.entry.-
. NumericMa. =. Matching
MS. =.Multiple.select.M
C. =. Multiple.choice TF.=.True-
FalseE. =.Easy,. M.=. Medium,. H.=.Hard
CHAPTER 1 LEARNING OBJECTIVES
. . .
CLO1-
1:.Use.the.chance.model.to.determine.whether.an.observed.statistic.is.unlikely.to.occur..CLO1-
2:.Calculate.and.interpret.a.p-
value,.and.state.the.strength.of.evidence.it.provides.againstthe.null.hypothesis.
CLO1-
3:.Calculate.a.standardized.statistic.for.a.single.proportion.and.evaluate.the.strength.ofevide.nce.it.
provides.against.a.null.hypothesis.
CLO1-
4:.Describe.how.the.distance.of.the.observed.statistic.from.the.parameter.value.specifiedby.the.null.hy
pothesis,.sample.size,.and.one-.vs..two-
sided.tests.affect.the.strength.of.evidence.against.the.null.hypothesis.
CLO1-5:.Describe.how.to.carry.out.a.theory-based,.one-proportion.z-test.
Section1.1: Introduction to ChanceModels
. . . . .
LO1.1-1:.Recognize.the.difference.between.parameters.and.statistics.
LO1.1-2:.Describe.how.to.use.coin.tossing.to.simulate.outcomes.from.a.chance.model.of.the.ran-
.dom.choice.between.two.events.
LO1.1-
3:.Use.the.One.Proportion.applet.to.carry.out.the.coin.tossing.simulation..LO1.1-
LO1.1-
LO1.1-
FOR.INSTRUCTOR.USE.ONL
, 4:.Identif statistic,.simulate.results.from.a.chance.model,.andcomm.ent.on.strength.of.evidence.against.observ
y.whethe ed.study.results.happening.by.chance.alone.
r.or.not.st
udy.resul
ts.are.stat 6:.Differentiate.between.saying.the.chance.model.is.plausible.and.the.chance.model.is.thecorrec.t.ex
istically.si planation.for.the.observed.data.
gnificant.
and.whet
her.or.not
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nce.mod
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FOR.INSTRUCTOR.USE.ONL
IntroductiontoStatisticalInvestigations, .
2ndEditionNathanTintle;BethL.Chance C .
hapters1-11,Complete
FOR.INSTRUCTOR.USE.ONL
,TABLE OF CONTENTS
R R
Chapter1–Significance:HowStrongistheEvidence
. . . . . . . .
Chapter2– . .
Generalization:HowBroadlyDotheResultsApply? Chapter 3 –
. . . . . . . . . .
Estimation: How Large is the Effect?
. . . . . .
Chapter4– . .
Causation:CanWeSayWhatCausedtheEffect? Chapter 5 –
. . . . . . . . . . .
Comparing Two Proportions
. . .
Chapter6–ComparingTwoMeans
. . . . .
Chapter7– . .
PairedData:OneQuantitative Variable Chapter8–
. . . . . . . .
ComparingMore ThanTwoProportions Chapter 9 –
. . . . . . . .
Comparing More Than Two Means Chapter 10 –
. . . . . . . .
Two Quantitative Variables
. . .
Chapter11–ModelingRandomness
. . . .
FOR.INSTRUCTOR.USE.ONL
,Chapter 1 .
Note:. TE. =. Text.entry TE-N.=.Text.entry.-
. NumericMa. =. Matching
MS. =.Multiple.select.M
C. =. Multiple.choice TF.=.True-
FalseE. =.Easy,. M.=. Medium,. H.=.Hard
CHAPTER 1 LEARNING OBJECTIVES
. . .
CLO1-
1:.Use.the.chance.model.to.determine.whether.an.observed.statistic.is.unlikely.to.occur..CLO1-
2:.Calculate.and.interpret.a.p-
value,.and.state.the.strength.of.evidence.it.provides.againstthe.null.hypothesis.
CLO1-
3:.Calculate.a.standardized.statistic.for.a.single.proportion.and.evaluate.the.strength.ofevide.nce.it.
provides.against.a.null.hypothesis.
CLO1-
4:.Describe.how.the.distance.of.the.observed.statistic.from.the.parameter.value.specifiedby.the.null.hy
pothesis,.sample.size,.and.one-.vs..two-
sided.tests.affect.the.strength.of.evidence.against.the.null.hypothesis.
CLO1-5:.Describe.how.to.carry.out.a.theory-based,.one-proportion.z-test.
Section1.1: Introduction to ChanceModels
. . . . .
LO1.1-1:.Recognize.the.difference.between.parameters.and.statistics.
LO1.1-2:.Describe.how.to.use.coin.tossing.to.simulate.outcomes.from.a.chance.model.of.the.ran-
.dom.choice.between.two.events.
LO1.1-
3:.Use.the.One.Proportion.applet.to.carry.out.the.coin.tossing.simulation..LO1.1-
LO1.1-
LO1.1-
FOR.INSTRUCTOR.USE.ONL
, 4:.Identif statistic,.simulate.results.from.a.chance.model,.andcomm.ent.on.strength.of.evidence.against.observ
y.whethe ed.study.results.happening.by.chance.alone.
r.or.not.st
udy.resul
ts.are.stat 6:.Differentiate.between.saying.the.chance.model.is.plausible.and.the.chance.model.is.thecorrec.t.ex
istically.si planation.for.the.observed.data.
gnificant.
and.whet
her.or.not
.thecha
nce.mod
el.is.a. pla
usible.ex
planation
. for. the. d
ata.
5
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FOR.INSTRUCTOR.USE.ONL
