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This text was adapted by The Saylor Foundation under a Creative Com
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, Preface
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aterialspsuchpaspexamplespandpexercisespthatpagepwellpwithptimepandpthatpwouldpthereforepnotprequire
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atpcertainptopics,pamongpthempPoissonpandpgeometricpdistributionspandpthepnormalpapproximationpt
opthepbinomialpdistributionp(particularlypwithpapcontinuitypcorrection)parepdistractingpinpnature.
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Textbookspforpthispcoursepcoverpapwideprangepinptermspofpsimplicitypandpcomplexity.pSomeppopularpt
extbookspemphasizepthepsimplicitypofpindividualpconceptsptoptheppointpofplackingpthepcoherencepofpan
p overallpnetworkpofpconcepts.pOtherptextbookspincludepoverlypdetailedpconceptualpandpcomputational
p discussionspandpaspapresultprepelpstudentspfrompreadingpthem.pThepauthorspbelievepthatpapsuccessful
p bookpmustpstrikepapbalancepbetweenptheptwopextremes,phoweverpdifficultpitpmaypbe.pAspapconsequenc
epthepoverarchingpguidingpprinciplepofpourpwritingpisptopseekpsimplicitypbutptoppreservepthepcoherence
p ofpthepwholepbodypofpinformationpcommunicated,pbothpconceptuallypandpcomputationally.pWepseekp
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SaylorpURL:phttp://www.saylor.org/books Saylor.org
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SaylorpURL:phttp://www.saylor.org/books Saylor.org
3

, Inpourpexperiencepmostpstudentspcomeptopanpintroductorypcoursepinpstatisticspwithpapcalculatorpthatpt
heyparepfamiliarpwithpandpwithpwhichptheirpproficiencypispmorepthanpadequatepforpthepcoursepmaterial.
p Ifpthepinstructorpchoosesptopuseptechnologicalpaids,peitherpcalculatorsporpstatisticalpsoftwarepsuchpasp
MinitabporpSPSS,pforpmorepthanpmereparithmeticalpcomputationspbutpaspapsignificantpcomponentpofpt
hepcoursepthenpeffectivepinstructionpforptheirpusepwillprequirepmorepextensivepwrittenpinstructionpthan
p apmerepparagraphporptwopinptheptext.pGivenpthepplethorapofpsuchpaidspavailable,ptopdiscusspapfewpofpth
empwouldpnotpprovidepsufficientlypwideporpdetailedpcoveragepandptopdiscusspmanypwouldpdigresspunn
ecessarilypfrompthepconceptualpfocuspofpthepbook.pThepoverarchingpphilosophypofpthisptextbookpisptopp
resentpthepcorepmaterialpofpanpintroductorypcoursepinpstatisticspforpnon-
majorspinpapcompletepyetpstreamlinedpway.pMuchproomphaspbeenpintentionallypleftpforpinstructorsptopa
pplyptheirpownpinstructionalpstylespasptheypdeempappropriatepforptheirpclassespandpeducationalpgoals.p
Wepbelievepthatpthepwholepmatterpofpwhatptechnologicalpaidsptopuse,pandptopwhatpextent,pisppreciselypt
heptypepofpmaterialpbestpleftptopthepinstructor’spdiscretion.


AllpfigurespwithpthepexceptionpofpFigurep1.1p"ThepGrandpPicturepofpStatistics",Figurep2.1p"StempandpL
eafpDiagram",pFigurep2.2p"OrderedpStempandpLeafpDiagram",Figurep2.13p"ThepBoxpPlot",pFigurep10.4p
"LinearpCorrelationpCoefficientp",pFigurep10.5p"ThepSimplepLinearpModelpConcept",pandpthepunnumb
eredpfigurepinpNotep2.50p"Examplep16"pofpChapterp2p"DescriptivepStatistics"pwerepgeneratedpusingpM
ATLAB,pcopyrightp2010.




SaylorpURL:phttp://www.saylor.org/books Saylor.org
4

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