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Norean D. Sharpe, Richard D. De Veaux, Paul F. Velleman, Business Statistics (2nd Edition) .pdf

Norean D. Sharpe, Richard D. De…

上传者: zhao_hailei 2011-10-02 评分 0 0 0 0 0 0 暂无简介 简介 举报

简介:本文档为《Norean D. Sharpe, Richard D. De Veaux, Paul F. Velleman, Business Statistics (2nd Edition) pdf》,可适用于高等教育领域,主题内容包含BusinessStatisticsSecondEditionNoreanRSharpeGeorgetownUniversityRichardDDe符等。

BusinessStatisticsSecondEditionNoreanRSharpeGeorgetownUniversityRichardDDeVeauxWilliamsCollegePaulFVellemanCornellUniversityWithContributionsbyDavidBockAddisonWesleyBostonColumbusIndianapolisNewYorkSanFranciscoUpperSaddleRiverAmsterdamCapeTownDubaiLondonMadridMilanMunichParisMontrealTorontoDelhiMexicoCitySaoPauloSydneyHongKongSeoulSingaporeTaipeiTokyoEditorinChiefDeirdreLynchVicePresidentExecutiveDirector,DevelopmentCarolTrueheartSeniorDevelopmentEditorElainePageSeniorContentEditorChereBemelmansAssociateContentEditorDanaJonesAssociateManagingEditorTamelaAmbushSeniorProductionProjectManagerPeggyMcMahonDesignManagerAndreaNixCoverDesignBarbaraTAtkinsonInteriorDesignStudioMontageCoverPhotoChiselCarvingWoodChrisMcElcheranMasterfileSeniorMarketDevelopmentManagerDonaKenlyExecutiveMarketingManagerRoxanneMcCarleySeniorMarketingManagerAlexGayMarketingAssociateKathleenDeChavezPhotoResearcherDianeAustinandLeslieHaimesMediaProducerAimeeThorneSoftwareDevelopmentEdwardChappellandMartyWrightSeniorAuthorSupportTechnologySpecialistJoeVetereRightsandPermissionsAdvisorMichaelJoyceSeniorManufacturingBuyersCarolMelvilleandGinnyMichaudProductionCoordination,Illustration,andCompositionPreMediaGlobalForpermissiontousecopyrightedmaterial,gratefulacknowledgmenthasbeenmadetothecopyrightholderslistedinAppendixC,whichisherebymadepartofthiscopyrightpageManyofthedesignationsusedbymanufacturersandsellerstodistinguishtheirproductsareclaimedastrademarksWherethosedesignationsappearinthisbook,andPearsonEducationwasawareofatrademarkclaim,thedesignationshavebeenprintedininitialcapsorallcapsCopyright,PearsonEducation,IncAllrightsreservedNopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmitted,inanyformorbyanymeans,electronic,mechanical,photocopying,recording,orotherwise,withoutthepriorwrittenpermissionofthepublisherPrintedintheUnitedStatesofAmericaForinformationonobtainingpermissionforuseofmaterialinthiswork,pleasesubmitawrittenrequesttoPearsonEducation,Inc,RightsandContractsDepartment,BoylstonStSuite,Boston,MA,faxyourrequestto(),oremailathttp:wwwpearsonedcomlegalpermissionshtmLibraryofCongressCataloginginPublicationDataSharpe,NoreanRadkeBusinessstatisticsNoreanRSharpe,RichardDDeVeaux,PaulFVellemanwithcontributionsfromDaveBockndedpcmISBNCommercialstatisticsIDeVeaux,RichardDIIVelleman,PaulF,–IIITitleHFS’dcISBN:ISBN:WCTomyparents,whotaughtmetheimportanceofeducationNoreanTomyfamilyDickTomyfather,whotaughtmeaboutethicalbusinesspracticebyhisconstantexampleasasmallbusinessmanandparentPaulAsaresearcherofstatisticalproblemsinbusinessandaprofessorofStatisticsatabusinessschool,NoreanRadkeSharpe(PhDUniversityofVirginia)understandsthechallengesandspecificneedsofthebusinessstudentSheiscurrentlyteachingattheMcDonoughSchoolofBusinessatGeorgetownUniversity,wheresheisalsoAssociateDeanandDirectorofUndergraduateProgramsPriortojoiningGeorgetown,shetaughtbusinessstatisticsandoperationsresearchcoursestobothundergraduateandMBAstudentsforfourteenyearsatBabsonCollegeBeforemovingintobusinesseducation,shetaughtmathematicsforseveralyearsatBowdoinCollegeandconductedresearchatYaleUniversityNoreaniscoauthoroftherecenttext,ACasebookforBusinessStatistics:LaboratoriesforDecisionMaking,andshehasauthoredmorethanarticlesprimarilyintheareasofstatisticseducationandwomeninscienceNoreancurrentlyservesasAssociateEditorforthejournalCasesinBusiness,Industry,andGovernmentStatisticsHerresearchfocusesonbusinessforecastingandstatisticseducationSheisalsocofounderofDOMEFoundation,Inc,anonprofitfoundationthatworkstoincreaseDiversityandOutreachinMathematicsandEngineeringforthegreaterBostonareaShehasbeenactiveinincreasingtheparticipationofwomenandunderrepresentedstudentsinscienceandmathematicsforseveralyearsandhastwochildrenofherownRichardDDeVeaux(PhDStanfordUniversity)isaninternationallyknowneducator,consultant,andlecturerDickhastaughtstatisticsatabusinessschool(Wharton),anengineeringschool(Princeton),andaliberalartscollege(Williams)WhileatPrinceton,hewonaLifetimeAwardforDedicationandExcellenceinTeachingSince,hehasbeenaprofessorofstatisticsatWilliamsCollege,althoughhereturnedtoPrincetonfortheacademicyear–astheWilliamRKenanJrVisitingProfessorofDistinguishedTeachingDickholdsdegreesfromPrincetonUniversityinCivilEngineeringandMathematicsandfromStanfordUniversityinDanceEducationandStatistics,wherehestudiedwithPersiDiaconisHisresearchfocusesontheanalysisoflargedatasetsanddatamininginscienceandindustryDickhaswonboththeWilcoxonandShewellawardsfromtheAmericanSocietyforQualityandisaFellowoftheAmericanStatisticalAssociationDickiswellknowninindustry,havingconsultedforsuchFortunecompaniesasAmericanExpress,HewlettPackard,Alcoa,DuPont,Pillsbury,GeneralElectric,andChemicalBankHewasnamedthe“StatisticianoftheYear”forbytheBostonChapteroftheAmericanStatisticalAssociationforhiscontributionstoteaching,research,andconsultingInhissparetimeheisanavidcyclistandswimmerHealsoisthefounderandbassforthedoowopgroup,theDiminishedFaculty,andisafrequentsoloistwithvariouslocalchoirsandorchestrasDickisthefatheroffourchildrenPaulFVelleman(PhDPrincetonUniversity)hasaninternationalreputationforinnovativestatisticseducationHedesignedtheDataDesksoftwarepackageandisalsotheauthoranddesigneroftheawardwinningActivStatsmultimediasoftware,forwhichhereceivedtheEDUCOMMedalforinnovativeusesofcomputersinteachingstatisticsandtheICTCMAwardforInnovationinUsingTechnologyinCollegeMathematicsHeisthefounderandCEOofDataDescription,Inc(wwwdatadeskcom),whichsupportsbothoftheseprogramsHealsodevelopedtheInternetsite,DataandStoryLibrary(DASLwwwdasldatadeskcom),whichprovidesdatasetsforteachingStatisticsPaulcoauthored(withDavidHoaglin)thebookABCsofExploratoryDataAnalysisPaulhastaughtStatisticsatCornellUniversityonthefacultyoftheSchoolofIndustrialandLaborRelationssinceHisresearchoftenfocusesonstatisticalgraphicsanddataanalysismethodsPaulisaFellowoftheAmericanStatisticalAssociationandoftheAmericanAssociationfortheAdvancementofScienceHeisalsobaritoneofthebarbershopquartetRowrbazzle!Paul’sexperienceasaprofessor,entrepreneur,andbusinessleaderbringsauniqueperspectivetothebookRichardDeVeauxandPaulVellemanhaveauthoredsuccessfulbooksintheintroductorycollegeandAPHighSchoolmarketwithDavidBock,includingIntroStats,ThirdEdition(Pearson,),Stats:ModelingtheWorld,ThirdEdition(Pearson,),andStats:DataandModels,ThirdEdition(Pearson,)MeettheAuthorsivContentsvPrefacexiIndexofApplicationsxxivPartIExploringandCollectingDataChapterStatisticsandVariationSo,WhatIsStatistics•HowWillThisBookHelpChapterData(Amazoncom)WhatAreData•VariableTypes•DataSources:Where,How,andWhenEthicsinActionTechnologyHelp:DataontheComputerBriefCase:CreditCardBankChapterSurveysandSampling(RoperPolls)ThreeIdeasofSampling•PopulationsandParameters•CommonSamplingDesigns•TheValidSurvey•HowtoSampleBadlyEthicsinActionTechnologyHelp:RandomSamplingBriefCases:MarketSurveyResearchandTheGfKRoperReportsWorldwideSurveyChapterDisplayingandDescribingCategoricalData(Keen,Inc)SummarizingaCategoricalVariable•DisplayingaCategoricalVariable•ExploringTwoCategoricalVariables:ContingencyTablesEthicsinActionTechnologyHelp:DisplayingCategoricalDataontheComputerBriefCase:KEENChapterDisplayingandDescribingQuantitativeData(AIG)DisplayingQuantitativeVariables•Shape•Center•SpreadoftheDistribution•Shape,Center,andSpreadASummary•FiveNumberSummaryandBoxplots•ComparingGroups•IdentifyingOutliers•Standardizing•TimeSeriesPlots•TransformingSkewedDataEthicsinActionTechnologyHelp:DisplayingandSummarizingQuantitativeVariablesBriefCases:HotelOccupancyRatesandValueandGrowthStockReturnsChapterCorrelationandLinearRegression(Lowe’s)LookingatScatterplots•AssigningRolestoVariablesinScatterplots•UnderstandingCorrelation•LurkingVariablesandCausation•TheLinearModel•CorrelationandtheLine•RegressiontotheMean•CheckingtheModel•VariationintheModelandR•RealityCheck:IstheRegressionReasonable•NonlinearRelationshipsEthicsinActionTechnologyHelp:CorrelationandRegressionBriefCases:FuelEfficiencyandTheUSEconomyandtheHomeDepotStockPricesCostofLivingandMutualFundsCaseStudy:ParalyzedVeteransofAmericaPartIIModelingwithProbabilityChapterRandomnessandProbability(CreditReportsandtheFairIsaacsCorporation)RandomPhenomenaandProbability•TheNonexistentLawofAverages•DifferentTypesofProbability•ProbabilityRules•JointProbabilityandContingencyTables•ConditionalProbability•ConstructingContingencyTablesEthicsinActionBriefCase:MarketSegmentationChapterRandomVariablesandProbabilityModels(MetropolitanLifeInsuranceCompany)ExpectedValueofaRandomVariable•StandardDeviationofaRandomVariable•PropertiesofExpectedValuesandVariances•DiscreteProbabilityDistributionsEthicsinActionBriefCase:InvestmentOptionsChapterTheNormalDistribution(TheNYSE)TheStandardDeviationasaRuler•TheNormalDistribution•NormalProbabilityPlots•TheDistributionofSumsofNormals•TheNormalApproximationfortheBinomial•OtherContinuousRandomVariablesEthicsinActionBriefCase:TheCAPETechnologyHelp:MakingNormalProbabilityPlotsChapterSamplingDistributions(MarketingCreditCards:TheMBNAStory)TheDistributionofSampleProportions•SamplingDistributionforProportions•TheCentralLimitTheorem•TheSamplingDistributionoftheMean•HowSamplingDistributionModelsWorkEthicsinActionBriefCases:RealEstateSimulation:Part:ProportionsandPart:MeansCaseStudy:InvestigatingtheCentralLimitTheoremviContentsPartIIIInferenceforDecisionMakingChapterConfidenceIntervalsforProportions(TheGallupOrganization)AConfidenceInterval•MarginofError:CertaintyvsPrecision•AssumptionsandConditions•ChoosingtheSampleSize•*AConfidenceIntervalforSmallSamplesEthicsinActionTechnologyHelp:ConfidenceIntervalsforProportionsBriefCases:InvestmentandForecastingDemandChapterConfidenceIntervalsforMeans(GuinnessCo)TheSamplingDistributionfortheMean•AConfidenceIntervalforMeans•AssumptionsandConditions•CautionsAboutInterpretingConfidenceIntervals•SampleSize•DegreesofFreedomWhynEthicsinActionTechnologyHelp:InferenceforMeansBriefCases:RealEstateandDonorProfiles,ChapterTestingHypotheses(DowJonesIndustrialAverage)Hypotheses•ATrialasaHypothesisTest•PValues•TheReasoningofHypothesisTesting•AlternativeHypotheses•TestingHypothesisaboutMeanstheOneSampletTest•AlphaLevelsandSignificance•CriticalValues•ConfidenceIntervalsandHypothesisTests•TwoTypesofErrors•PowerEthicsinActionTechnologyHelp:HypothesisTestsBriefCases:MetalProductionandLoyaltyProgramChapterComparingTwoGroups(VisaGlobalOrganization)ComparingTwoMeans•TheTwoSampletTest•AssumptionsandConditions•AConfidenceIntervalfortheDifferenceBetweenTwoMeans•ThePooledtTest•*Tukey’sQuickTest•PairedData•ThePairedtTestEthicsinActionTechnologyHelp:TwoSampleMethodsTechnologyHelp:PairedtBriefCases:RealEstateandConsumerSpendingPatterns(DataAnalysis)ChapterInferenceforCounts:ChiSquareTests(SACCapital)GoodnessofFitTests•InterpretingChiSquareValues•ExaminingtheResiduals•TheChiSquareTestofHomogeneity•ComparingTwoProportions•ChiSquareTestofIndependenceEthicsinActionTechnologyHelp:ChiSquareBriefCases:HealthInsuranceandLoyaltyProgram,CaseStudy:InvestmentStrategySegmentationContentsviiPartIVModelsforDecisionMakingChapterInferenceforRegression(NambéMills)ThePopulationandtheSample•AssumptionsandConditions•TheStandardErroroftheSlope•ATestfortheRegressionSlope•AHypothesisTestforCorrelation•StandardErrorsforPredictedValues•UsingConfidenceandPredictionIntervalsEthicsinActionTechnologyHelp:RegressionAnalysisBriefCases:FrozenPizzaandGlobalWarmingChapterUnderstandingResiduals(Kellogg’s)ExaminingResidualsforGroups•ExtrapolationandPrediction•UnusualandExtraordinaryObservations•WorkingwithSummaryValues•Autocorrelation•Transforming(Reexpressing)Data•TheLadderofPowersEthicsinActionTechnologyHelp:ExaminingResidualsBriefCases:GrossDomesticProductandEnergySourcesChapterMultipleRegression(Zillowcom)TheMultipleRegressionModel•InterpretingMultipleRegressionCoefficients•AssumptionsandConditionsfortheMultipleRegressionModel•TestingtheMultipleRegressionModel•AdjustedR,andtheFstatistic•*TheLogisticRegressionModelEthicsinActionTechnologyHelp:RegressionAnalysisBriefCase:GolfSuccessChapterBuildingMultipleRegressionModels(BolligerMabillard)Indicator(orDummy)Variables•AdjustingforDifferentSlopesInteractionTerms•MultipleRegressionDiagnostics•BuildingRegressionModels•Collinearity•QuadraticTermsEthicsinActionTechnologyHelp:BuildingMultipleRegressionModelsBriefCase:ParalyzedVeteransofAmericaChapterTimeSeriesAnalysis(WholeFoodsMarket)WhatIsaTimeSeries•ComponentsofaTimeSeries•SmoothingMethods•SummarizingForecastError•AutoregressiveModels•MultipleRegression–basedModels•ChoosingaTimeSeriesForecastingMethod•InterpretingTimeSeriesModels:TheWholeFoodsDataRevisitedEthicsinActionTechnologyHelp:TimeSeriesAnalysisBriefCases:IntelCorporationandTiffanyCoCaseStudy:HealthCareCostsviiiContentsPartVSelectedTopicsinDecisionMakingChapterDesignandAnalysisofExperimentsandObservationalStudies(CapitalOne)ObservationalStudies•Randomized,ComparativeExperiments•TheFourPrinciplesofExperimentalDesign•ExperimentalDesigns•IssuesinExperimentalDesign•AnalyzingaDesigninOneFactorTheOneWayAnalysisofVariance•AssumptionsandConditionsforANOVA•*MultipleComparisons•ANOVAonObservationalData•AnalysisofMultifactorDesignsEthicsinActionTechnologyHelp:AnalysisofVarianceBriefCase:AMultifactorExperimentChapterQualityControl(Sony)AShortHistoryofQualityControl•ControlChartsforIndividualObservations(RunCharts)•ControlChartsforMeasurements:andRCharts•ActionsforOutofControlProcesses•ControlChartsforAttributes:pChartsandcCharts•PhilosophiesofQualityControlEthicsinActionTechnologyHelp:QualityControlChartsontheComputerBriefCase:LaptopTouchpadQualityChapterNonparametricMethods(icp)Ranks•TheWilcoxonRankSumMannWhitneyStatistic•KruskalWallaceTest•PairedData:TheWilcoxonSignedRankTest•*FriedmanTestforaRandomizedBlockDesign•Kendall’sTau:MeasuringMonotonicity•Spearman’sRho•WhenShouldYouUseNonparametricMethodsEthicsinActionBriefCase:RealEstateReconsideredChapterDecisionMakingandRisk(DataDescription,inc)Actions,StatesofNature,andOutcomes•PayoffTablesandDecisionTrees•MinimizingLossandMaximizingGain•TheExpectedValueofanAction•ExpectedValuewithPerfectInformation•DecisionsMadewithSampleInformation•EstimatingVariation•Sensitivity•Simulation•ProbabilityTrees•*ReversingtheConditioning:Bayes’sRule•MoreComplexDecisionsEthicsinActionBriefCases:TexacoPennzoilandInsuranceServices,Revisited,ChapterIntroductiontoDataMining(ParalyzedVeteransofAmerica)DirectMarketing•TheData•TheGoalsofDataMining•DataMiningMyths•SuccessfulDataMining•DataMiningProblems•DataMiningAlgorithms•TheDataMiningProcess•SummaryEthicsinActionCaseStudy:MarketingExperimentXContentsix*IndicatesanoptionaltopicAppendixesAAnswersABTechnologyHelp:XLStatACPhotoAcknowledgmentsADTablesandSelectedFormulasAEIndexAxContentsPrefaceWesetouttowriteabookforbusinessstudentsthatanswersthesimplequestion:“HowcanImakebetterdecisions”Asentrepreneursandconsultants,weknowthatknowledgeofStatisticsisessentialtosurviveandthriveintoday’scompetitiveenvironmentAseducators,we’veseenadisconnectbetweenthewayStatisticsistaughttobusinessstudentsandthewayitisusedinmakingbusinessdecisionsInBusinessStatistics,wetrytonarrowthegapbetweentheoryandpracticebypresentingstatisticalmethodssotheyarebothrelevantandinterestingThedatathatinformabusinessdecisionhaveastorytotell,andtheroleofStatisticsistohelpushearthatstoryclearlyandcommunicateittoothersLikeothertextbooks,BusinessStatisticsteachesmethodsandconceptsBut,unlikeothertextbooks,BusinessStatisticsalsoteachesthe“why”andinsiststhatresultsbereportedinthecontextofbusinessdecisionsStudentswillcomeawayknowinghowtothinkstatisticallytomakebetterbusinessdecisionsandhowtoeffect

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