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  • Fundamentals of Statistics - 2e - Chapter08, Angielskie [EN](4)(2)

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    Inference:From
    SamplestoPopulation
    PART
    CHAPTER8
    SamplingDistributions
    CHAPTER9
    EstimatingtheValueofa
    ParameterUsingConfidence
    Intervals
    CHAPTER10
    HypothesisTestsRegardinga
    Parameter
    CHAPTER11
    InferenceonTwoSamples
    CHAPTER12
    AdditionalInferential
    Procedures
    InChapter1,wepresentedthefollowingprocessof
    statistics:
    Iftheinformation(data)collectedisfromapopula-
    tion,wecanusethesummariesobtainedinStep3to
    drawconclusionsaboutthepopulationbeingstudiedand
    thestatisticalprocessisover.
    However,itisoftendifficultorimpossibletogainac-
    cesstopopulations,sotheinformationobtainedinStep2
    isoftensampledata.Thesampledataareusedtomake
    inferencesaboutthepopulation.Forexample,wemight
    computeasamplemeanfromtheinformationcollected
    inStep2andusethisinformationtodrawconclusionsre-
    gardingthepopulationmean.Thelastpartofthistext
    discusseshowsampledataareusedtodrawconclusions
    aboutpopulations.
    Step1
    :
    Identifyaresearchobjective.
    Step2
    :
    Collecttheinformationneededtoanswerthe
    questionsposedinStep1.
    Step3
    :
    Organizeandsummarizetheinformation.
    Step4
    :
    Drawconclusionsfromtheinformation.
    ThemethodsforconductingSteps1and2werediscussed
    inChapter1.ThemethodsforconductingStep3were
    discussedinChapters2through4.Wetookabreakfrom
    thestatisticalprocessinChapters5through7sothatwe
    coulddevelopskillsthatallowustotackleStep4.
    373
    SamplingDistributions
    CHAPTER
    Outline
    8.1
    DistributionoftheSampleMean
    8.2
    DistributionoftheSampleProportion
    "
    ChapterReview
    "
    CaseStudy:SamplingDistributionofthe
    Median(OnCD)
    DECISIONS
    TheAmericanTimeUseSurveyisasurveyofadultAmericanscon-
    ductedbytheBureauofLaborStatistics.Thepurposeofthesurvey
    istolearnhowAmericansallocatetheirtimeduringaday.Asare-
    porterfortheschoolnewspaper,youwishtofileareportthatcom-
    paresthetypicalstudentatyourschooltotherestofAmericans.
    SeetheDecisionsprojectonpage388.
    PuttingItAllTogether
    InChapters6and7,welearnedaboutrandomvariables
    andtheirprobabilitydistributions.Arandomvariableisa
    numericalmeasureoftheoutcometoaprobability
    experiment.Aprobabilitydistributionprovidesawayto
    assignprobabilitiestotherandomvariable.Fordiscrete
    randomvariables,wediscussedthebinomialprobability
    distribution.Weassignedprobabilitiesusingaformula.
    Forcontinuousrandomvariables,wediscussedthenor-
    malprobabilitydistribution.Tocomputeprobabilitiesfor
    anormalrandomvariable,wefoundtheareaundera
    normaldensitycurve.
    Inthischapter,wecontinueourdiscussionofproba-
    bilitydistributionswherestatistics,suchas willbe
    therandomvariable.Statisticsarerandomvariables
    becausethevalueofastatisticvariesfromsampleto
    sample.Forthisreason,statisticshaveprobabilitydistri-
    butionsassociatedwiththem.Forexample,thereisa
    probabilitydistributionforthesamplemean,sample
    variance,andsoon.Weuseprobabilitydistributionsto
    makeprobabilitystatementsregardingthestatistic.So
    thischapterdiscussestheshape,center,andspreadof
    statisticssuchas
    x
    374
     Section8.1DistributionoftheSampleMean
    375
    8.1
    DistributionoftheSampleMean
    PreparingforThisSection
    Beforegettingstarted,reviewthefollowing:

    Simplerandomsampling(Section1.2,pp.16–19)

    Themean(Section3.1,pp.107–110)

    Thestandarddeviation(Section3.2,pp.129–130)

    Applicationsofthenormaldistribution(Section7.3,
    pp.345–349)
    Objectives
    Understandtheconceptofasamplingdistribution
    Describethedistributionofthesamplemeanfor
    samplesobtainedfromnormalpopulations
    Describethedistributionofthesamplemeanforsam-
    plesobtainedfromapopulationthatisnotnormal
    SupposethatthegovernmentwantedtoestimatethemeanincomeofallU.S.
    households.Oneapproachthegovernmentcouldtakeistoliterallysurveyeach
    householdintheUnitedStatestodeterminethepopulationmean, This
    wouldbeaveryexpensiveandtime-consumingsurvey!
    Asecondapproachthatthegovernmentcould(anddoes)takeistosurvey
    arandomsampleofU.S.householdsandusetheresultsofthesurveytoesti-
    matethemeanhouseholdincome.ThisisdonethroughtheAmericanCommu-
    nitySurvey.Thesurveyisadministeredtoapproximately250,000randomly
    selectedhouseholdseachmonth.Amongthemanyquestionsonthesurvey,re-
    spondentsareaskedtoreporttheincomeofeachindividualinthehousehold.
    Fromthisinformation,thefederalgovernmentobtainsasamplemeanhouse-
    holdincomeforU.S.households.Forexample,in2003themeanannualhouse-
    holdincomeintheUnitedStateswasestimatedtobe The
    governmentmightinferfromthisresultthatthemeanannualhouseholdin-
    comeof
    all
    U.S.householdsin2003was Thistypeofstatementis
    anexampleof
    statisticalinference
    usinginformationfromasampletodraw
    conclusionsaboutapopulation.
    ThehouseholdsthatwereadministeredtheAmericanCommunitySur-
    veyweredeterminedbychance(randomsampling).Asecondrandomsample
    ofhouseholdswouldlikelyleadtoadifferentsamplemeansuchas
    andathirdrandomsampleofhouseholdswouldlikelyleadtoa
    thirddistinctsamplemeansuchas Becausethehouseholdsare
    selectedbychance,thesamplemeanofhouseholdincomeisalsodetermined
    bychance.Weconcludefromthisthatthereisvariabilityinourestimates.
    Thisvariabilityleadstouncertaintyastowhetherourestimatesarecorrect.
    Therefore,weneedawaytoassessthereliabilityofinferencesmadeabouta
    populationbasedonsampledata.
    Themeasureofreliabilityisactuallyastatementofprobability.Probability
    describeshowlikelyanoutcomeistooccur.Thegoalofthischapteristolearn
    thedistributionofstatisticssuchasthesamplemeansothatourestimatesare
    accompaniedbystatementsthatindicatethelikelihoodthatourmethodsare
    accurate.
    =
    $58,036.
    =
    $58,036.
    =
    $58,132,
    =
    $58,095.
    UnderstandtheConceptofaSampling
    Distribution
    Ingeneral,thesamplingdistributionofastatisticisaprobabilitydistributionfor
    allpossiblevaluesofthestatisticcomputedfromasampleofsize
    n
    .The
    samplingdistributionofthesamplemean
    istheprobabilitydistributionofall
    possiblevaluesoftherandomvariablecomputedfromasampleofsize
    n
    from
    apopulationwithmeanandstandarddeviation
    s
      376
    Chapter8SamplingDistributions
    Theideabehindobtainingthesamplingdistributionofthemeanisasfollows:
    Step1
    :
    Obtainasimplerandomsampleofsize
    n
    InOtherWords
    Ifthenumberofindividualsina
    populationisapositiveinteger,wesay
    thepopulationisfinite.Otherwise,the
    populationisinfinite.
    Step2
    :
    Computethesamplemean.
    Step3
    :
    Assumingthatwearesamplingfromafinitepopulation,repeat
    Steps1and2untilallsimplerandomsamplesofsize
    n
    havebeenobtained.
    Note:
    Onceaparticularsampleisobtained,itcannotbeobtainedasecond
    time.
    Wepresentanexampletoillustratetheideabehindasamplingdistribution.
    EXAMPLE1
    ASamplingDistribution
    Problem
    :
    Onesemester,ProfessorGoehlhadasmallstatisticsclassofseven
    students.Heaskedthemtheagesoftheircarsandobtainedthefollowingdata:
    2,4,6,8,4,3,7
    Constructasamplingdistributionofthemeanforsamplesofsize What
    istheprobabilityofobtainingasamplemeanbetween4and6years,inclusive;
    thatis,whatis
    Approach
    :
    WefollowSteps1to3listedabovetoconstructtheprobability
    distribution.
    Solution
    :
    Therearesevenindividualsinthepopulation.Weareselecting
    themtwoatatimewithoutreplacement.Therefore,thereare samples
    ofsize Welistthese21samplesalongwiththesamplemeansinTable1.
    =
    2.
    =
    21
    =
    2.
    Table1
    Sample SampleMean Sample SampleMean Sample SampleMean
    2,4
    3 4,8
    6 6,7
    6 .5
    2,6
    4 4,4
    4 8,4
    6
    2,8
    5 4,3
    3 .5 8,3
    5 .5
    2,4
    3 4,7
    5 .5 8,7
    7 .5
    2,3
    2 .5 6,8
    7 4,3
    3 .5
    2,7
    4 .5 6,4
    5 4,7
    5 .5
    4,6
    5 6,3
    4 .5 3,7
    5
    Table2displaysthesamplingdistributionofthesamplemean,
    x
    Table2
    SampleMean Frequency Probability SampleMean Frequency Probability
    1
    21
    3
    21
    2.5 1
    5 .5 3
    2
    21
    2
    21
    3
    2
    6
    2
    2
    21
    1
    21
    3.5 2
    6 .5 1
    2
    21
    1
    21
    4
    2
    7
    1
    2
    21
    1
    21
    4.5 2
    7 .5 1
    4
    21
    5
    4
    Section8.1DistributionoftheSampleMean
    377
    FromTable2wecancompute
    2
    21
    +
    2
    21
    +
    4
    21
    +
    3
    21
    +
    21
    =
    13
    21
    =
    0.619
    Ifwetook10simplerandomsamplesofsize2fromthispopulation,about6of
    themwouldresultinsamplemeansbetween4and6years,inclusive.
    Thesamplemeanwiththehighestprobabilityis Thisshouldnotbe
    surprisingsincethepopulationmeanofthedatainExample1is
    roundedtoonedecimalplace.Figure1isaprobabilityhistogramofthesam-
    plingdistributionforthesamplemeangiveninTable2.
    =
    5.
    =
    4.9,
    Figure1
    ProbabilityDistributionoftheSampleMean
    0.2
    0.15
    0.1
    0.05
    2.5 3
    3 .5 4
    4 .5 5
    5 .5 6
    6 .5 7
    7 .5
    NowWorkProblem31.
    SampleMean
    In-ClassActivity:SamplingDistributions
    Randomlyselectsixstudentsfromtheclasstotreatasapopulation.Chooseaquan-
    titativevariable(suchaspulserate,age,ornumberofsiblings)touseforthisactivi-
    ty,andgatherthedataappropriately.Compute forthepopulation.Dividethe
    classintofourgroupsandhaveonegrouplistallsamplesofsize another
    grouplistallsamplesofsize andothergroupslistallsamplesofsize
    and Eachgroupshoulddothefollowing:
    (a)
    Computethesamplemeanofeachsample.
    (b)
    Formtheprobabilitydistributionforthesamplemean.
    (c)
    Drawaprobabilityhistogramoftheprobabilitydistribution.
    (d)
    Verifythat
    Comparethespreadineachprobabilitydistributionbasedontheprobabilityhis-
    togram.Whatdoesthisresultimplyaboutthestandarddeviationofthesample
    mean?
    =
    2,
    =
    3,
    =
    5.
    DescribetheDistributionoftheSampleMean
    forSamplesObtainedfromNormal
    Populations
    ThepointofExample1istohelpyourealizethatstatisticssuchasarerandom
    variablesandthereforehaveprobabilitydistributionsassociatedwiththem.In
    practice,asinglerandomsampleofsize
    n
    isobtainedfromapopulation.The
    probabilitydistributionofthesamplestatistic(orsamplingdistribution)isde-
    terminedfromstatisticaltheory.Wewillusesimulationtohelpjustifytheresult
    thatstatisticaltheoryprovides.Weconsidertwopossibilities.Inthefirstcase,we
    samplefromapopulationthatisknowntobenormallydistributed.Inthesec-
    ondcase,wesamplefromadistributionthatisnotnormallydistributed.
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