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Introductory statistics PDF

841 Pages·2010·5.437 MB·English
by  Ross S.
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Introductory Statistics Thispageintentionallyleftblank Introductory Statistics Third Edition Sheldon M. Ross University of Southern California AMSTERDAM•BOSTON•HEIDELBERG•LONDON NEWYORK•OXFORD•PARIS•SANDIEGO SANFRANCISCO•SINGAPORE•SYDNEY•TOKYO AcademicPressisanimprintofElsevier AcademicPressisanimprintofElsevier 30CorporateDrive,Suite400,Burlington,MA01803,USA 525BStreet,Suite1900,SanDiego,California92101-4495,USA Elsevier,TheBoulevard,LangfordLane,Kidlington,Oxford,OX51GB,UK Copyright©2010,ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,electronicormechanical,including photocopying,recording,oranyinformationstorageandretrievalsystem,withoutpermissioninwritingfromthepublisher. Detailsonhowtoseekpermission,furtherinformationaboutthePublisher’spermissionspoliciesandourarrangementswith organizationssuchastheCopyrightClearanceCenterandtheCopyrightLicensingAgency,canbefoundatourwebsite: www.elsevier.com/permissions. ThisbookandtheindividualcontributionscontainedinitareprotectedundercopyrightbythePublisher(otherthanasmaybe notedherein). Notices Knowledgeandbestpracticeinthisfieldareconstantlychanging.Asnewresearchandexperiencebroadenourunderstanding, changesinresearchmethods,professionalpractices,ormedicaltreatmentmaybecomenecessary. Practitionersandresearchersmustalwaysrelyontheirownexperienceandknowledgeinevaluatingandusinganyinformation, methods,compounds,orexperimentsdescribedherein.Inusingsuchinformationormethodstheyshouldbemindfuloftheir ownsafetyandthesafetyofothers,includingpartiesforwhomtheyhaveaprofessionalresponsibility. Tothefullestextentofthelaw,neitherthePublishernortheauthors,contributors,oreditors,assumeanyliabilityforanyinjury and/ordamagetopersonsorpropertyasamatterofproductsliability,negligenceorotherwise,orfromanyuseoroperationof anymethods,products,instructions,orideascontainedinthematerialherein. LibraryofCongressCataloging-in-PublicationData Ross,SheldonM. Introductorystatistics/SheldonM.Ross.–3rded. p.cm. Includesbibliographicalreferencesandindex. ISBN978-0-12-374388-6(hardcover:alk.paper)1.Mathematicalstatistics.I.Title. QA276.R6842010 519.5–dc22 2009050832 BritishLibraryCataloguing-in-PublicationData AcataloguerecordforthisbookisavailablefromtheBritishLibrary. ISBN:978-0-12-374388-6 ForinformationonallAcademicPresspublications visitourWebsiteatwww.elsevierdirect.com Typesetby:diacriTech,India PrintedinCanada 09 10 11 9 8 7 6 5 4 3 2 1 About the Author Sheldon M. Ross Sheldon M. Ross received his Ph.D. in Statistics at Stanford University in 1968 and then joined the Department of Industrial Engineering and Operations ResearchattheUniversityofCaliforniaatBerkeley.HeremainedatBerkeleyuntil Fall2004,whenhebecametheDanielJ.EpsteinProfessorofIndustrialandSys- temsEngineeringintheDanielJ.EpsteinDepartmentofIndustrialandSystems Engineering at the University of Southern California. He has published many technical articles and textbooks in the areas of statistics and applied probabil- ity.Amonghistextsare A First Course in Probability (eighthedition), Introduction to Probability Models (tenthedition), Simulation(fourthedition),and Introduction toProbabilityandStatisticsforEngineersandScientists (fourthedition). Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is af ellow of the Institute of Mathematical Statistics and a recipient of the Humboldt U.S. Senior Scientist Award. v For Rebecca and Elise Contents ABOUTTHEAUTHOR....................................................................... v PREFACE.......................................................................................... xvii ACKNOWLEDGMENTS..................................................................... xxi CHAPTER1 IntroductiontoStatistics ............................................ 1 1.1 Introduction........................................................... 1 1.2 TheNatureofStatistics........................................... 3 1.2.1 DataCollection............................................ 3 1.2.2 InferentialStatisticsandProbabilityModels... 4 1.3 PopulationsandSamples......................................... 5 *1.3.1 StratifiedRandomSampling.......................... 6 1.4 ABriefHistoryofStatistics...................................... 7 KeyTerms...................................................................... 10 TheChangingDefinitionofStatistics................................. 11 ReviewProblems............................................................ 11 CHAPTER2 DescribingDataSets.................................................... 17 2.1 Introduction........................................................... 18 2.2 FrequencyTablesandGraphs.................................. 18 2.2.1 LineGraphs,BarGraphs,andFrequency Polygons..................................................... 19 2.2.2 RelativeFrequencyGraphs........................... 21 2.2.3 PieCharts................................................... 24 Problems............................................................... 25 2.3 GroupedDataandHistograms................................. 32 Problems............................................................... 39 2.4 Stem-and-LeafPlots................................................ 44 Problems............................................................... 47 vii *Theasterisksignifiesoptionalmaterialnotusedinthesequel. viii Contents 2.5 SetsofPairedData.................................................. 51 Problems............................................................... 54 2.6 SomeHistoricalComments...................................... 58 KeyTerms...................................................................... 59 Summary ....................................................................... 60 ReviewProblems............................................................ 63 CHAPTER3 UsingStatisticstoSummarizeDataSets...................... 71 3.1 Introduction........................................................... 72 3.2 SampleMean......................................................... 73 3.2.1 Deviations.................................................. 78 Problems............................................................... 79 3.3 SampleMedian....................................................... 83 Problems............................................................... 86 3.3.1 SamplePercentiles....................................... 90 3.4 SampleMode......................................................... 97 Problems............................................................... 98 3.5 SampleVarianceandSampleStandardDeviation....... 99 Problems............................................................... 105 3.6 NormalDataSetsandtheEmpiricalRule................... 109 Problems............................................................... 114 3.7 SampleCorrelationCoefficient................................. 120 Problems............................................................... 128 KeyTerms...................................................................... 134 Summary ....................................................................... 136 ReviewProblems............................................................ 138 CHAPTER4 Probability ................................................................... 145 4.1 Introduction........................................................... 146 4.2 SampleSpaceandEventsofanExperiment............... 146 Problems............................................................... 150 4.3 PropertiesofProbability.......................................... 153 Problems............................................................... 156 4.4 ExperimentsHavingEquallyLikelyOutcomes........... 161 Problems............................................................... 164 4.5 ConditionalProbabilityandIndependence................. 167 Problems............................................................... 177 *4.6 Bayes’Theorem...................................................... 185 Problems............................................................... 187 Contents ix *4.7 CountingPrinciples ................................................ 189 Problems............................................................... 195 KeyTerms...................................................................... 198 Summary ....................................................................... 200 ReviewProblems............................................................ 201 CHAPTER5 DiscreteRandomVariables.......................................... 209 5.1 Introduction........................................................... 210 5.2 RandomVariables................................................... 211 Problems............................................................... 215 5.3 ExpectedValue...................................................... 218 5.3.1 PropertiesofExpectedValues....................... 221 Problems............................................................... 225 5.4 VarianceofRandomVariables.................................. 231 5.4.1 PropertiesofVariances ................................ 233 Problems............................................................... 236 5.5 BinomialRandomVariables..................................... 238 5.5.1 ExpectedValueandVarianceofaBinomial RandomVariable......................................... 243 Problems............................................................... 244 *5.6 HypergeometricRandomVariables........................... 248 Problems............................................................... 249 *5.7 PoissonRandomVariables....................................... 250 Problems............................................................... 253 KeyTerms...................................................................... 254 Summary ....................................................................... 254 ReviewProblems............................................................ 256 CHAPTER6 NormalRandomVariables........................................... 261 6.1 Introduction........................................................... 262 6.2 ContinuousRandomVariables................................. 262 Problems............................................................... 264 6.3 NormalRandomVariables....................................... 266 Problems............................................................... 269 6.4 ProbabilitiesAssociatedwithaStandardNormal RandomVariable.................................................... 271 Problems............................................................... 276 6.5 FindingNormalProbabilities:Conversiontothe StandardNormal .................................................... 277

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