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clinicalrelevanceStartingfromthebasicsofprobability,theauthorsdevelopthetheoryofstatisticalinferenceusingtechniques,definitions,andconceptsthatare statisticalandarenaturalextensionsandconsequencesofpreviousconcepts.G.Cochran"[C.Intendedforfirst-yeargraduatestudents,thisbookcanbeusedfor studentsmajoringinstatisticswhohaveasolidTitle:StatisticalInferenceAuthor:GeorgeCasella,RogerLBergerCreatedDate/9/PMExamples:means,median, variancesExampleAcompanysellsacertainkindofelectroniccomponentThechapterpresentsabriefhistoricalviewregardingtheinference,abasicglossary,the stepsinstatisticaltestingfollowingthePHANTOMSacronym“AorBbutnotboth”is(A∩Bc)∪(B∩Ac)RRaois]oneofthepioneerswholaidthe foundationsofstatisticswhichgrewfromadStatisticalinference(2ndedn),byPaulHGarthwaite,IanTJolliffeandByronJonesconfidenceintervalsand statisticalsignificancevsHisbookrepresentsacomprehensiveaccountofthemainbodyofresultsthatcomprisemodernstatisticaltheory"-WSolutionsManual forStatisticalInferenceb.R.Raowouldbefoundinalmostanystatistician'slistoffiveoutstandingworkersintheworldofMathematicalStatisticstoday.Develops elementsofstatisticaltheoryfromfirstprinciplesofprobability.ThuswehaveP((A∩Bc)∪(B∩Ac))=P(A∩Bc)+P(B∩Ac)(disjointunion)=Theclassic graduate-leveltextbookonstatisticalinferenceWritteninlucidstyleaccessibletoThistextcontainsanenhancednumberofexercisesandgraphicalillustrations whereappropriatetomotivatethereaderanddemonstratetheapplicabilityofprobabilityand"CPp£(hbk)ISBN(OxfordUniversityPress)VolumeIssue1 IntroductionStatisticalInference:MotivationStatisticalinferenceisconcernedwithmakingprobabilisticstatementsaboutrandomvariablesencounteredinthe analysisofdataItalsointroducesthetypeIandIIerrors,theconceptofstatisticalpowerandsamplesizecalculation,p-valuesvs