Introduction to Statistical Investigations,
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2nd Edition Nathan Tintle; Beth L. Chance
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m 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 – m m
m 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 m
Note:mmmTEm =m Textmentry TE-Nm=mTextmentrym-
m NumericmMam =m Matching MSm =m Multiplemselect
MCm =m Multiplemchoice TFm=mTrue-
FalsemEm=mEasy,mMm=mMedium,mHm=mHard
CHAPTERm1mLEARNINGmOBJECTIVES
CLO1-1:mUsemthemchancemmodelmtomdeterminemwhethermanmobservedmstatisticmismunlikelymtomoccur.
CLO1-2:mCalculatemandminterpretmamp-
value,mandmstatemthemstrengthmofmevidencemitmprovidesmagainstmthemnullmhypothesis.
CLO1-
3:mCalculatemamstandardizedmstatisticmformamsinglemproportionmandmevaluatemthemstrengthmo
fmevidencemitmprovidesmagainstmamnullmhypothesis.
CLO1-
4:mDescribemhowmthemdistancemofmthemobservedmstatisticmfrommthemparametermvaluemspecifiedm
bymthemnullmhypothesis,msamplemsize,mandmone-mvs.mtwo-
sidedmtestsmaffectmthemstrengthmofmevidencemagainstmthemnullmhypothesis.
CLO1-5:mDescribemhowmtomcarrymoutmamtheory-based,mone-proportionmz-test.
Section 1.1: Introduction to Chance Models
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LO1.1-1:mRecognizemthemdifferencembetweenmparametersmandmstatistics.
LO1.1-2:mDescribemhowmtomusemcoinmtossingmtomsimulatemoutcomesmfrommamchancemmodelmofmthemran-
mdommchoicem betweenm twom events.
LO1.1-3:mUsemthemOnemProportionmappletmtomcarrymoutmthemcoinmtossingmsimulation.
LO1.1-
4:mIdentifymwhethermormnotmstudymresultsmaremstatisticallymsignificantmandmwhethermormnotmt
hemchancemmodelmismamplausiblemexplanationmformthemdata.
LO1.1-
5:mImplementmthem3Smstrategy:mfindmamstatistic,msimulatemresultsmfrommamchancemmodel,man
dmcommentmonmstrengthmofmevidencemagainstmobservedmstudymresultsmhappeningmbymchance
malone.
LO1.1-
6:mDifferentiatembetweenmsayingmthemchancemmodelmismplausiblemandmthemchancemmodelmismthe
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, correctmexplanationmformthemobservedmdata.
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