欢迎来到天天文库
浏览记录
ID:54977682
大小:1.40 MB
页数:47页
时间:2020-05-07
《商务统计相关知识(英文版).ppt》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、本资料来源Chapter8IntervalEstimationPopulationMean:sKnownPopulationMean:sUnknownDeterminingtheSampleSizePopulationProportionApointestimatorcannotbeexpectedtoprovidetheexactvalueofthepopulationparameter.Anintervalestimatecanbecomputedbyaddingandsubtractingamarginoferro
2、rtothepointestimate.PointEstimate+/-MarginofErrorThepurposeofanintervalestimateistoprovideinformationabouthowclosethepointestimateistothevalueoftheparameter.MarginofErrorandtheIntervalEstimateThegeneralformofanintervalestimateofapopulationmeanisMarginofErrorandthe
3、IntervalEstimatetofindouttwopositivenumbersδandα,thelatterlyingbetween0and1,suchthattheprobabilitythattherandomIntervalcontainsthetrueparameteris1-αTherandomintervalisConfidenceintervalSuchaninterval,ifitexists,isknownasaconfidenceinterval;1−αisknownastheconfidenc
4、ecoefficient;andα(0<α<1)isknownasthelevelofsignificance.TheendpointsoftheconfidenceintervalareknownastheconfidencelimitsLowerconfidencelimitsandUpperconfidencelimitsIntervalEstimationofaPopulationMean:sKnownInordertodevelopanintervalestimateofapopulationmean,thema
5、rginoferrormustbecomputedusingeither:thepopulationstandarddeviations,orthesamplestandarddeviationssisrarelyknownexactly,butoftenagoodestimatecanbeobtainedbasedonhistoricaldataorotherinformation.Werefertosuchcasesasthesknowncase.IntervalEstimateofmIntervalEstimateo
6、faPopulationMean:sKnownwhere:isthesamplemean1-istheconfidencecoefficientz/2isthezvalueprovidinganareaof/2intheuppertailofthestandardnormalprobabilitydistributionsisthepopulationstandarddeviationnisthesamplesize(7.1)Itisveryimportanttoknowthefollowingaspectsofin
7、tervalestimation:Equation(7.1)doesnotsaythattheprobabilityoftruemlyingbetweenthegivenlimitsis1−α.Sincem,althoughanunknown,isassumedtobesomefixednumber,eitheritliesintheintervaloritdoesnot.What(7.1)statesisthat,forthemethoddescribedinthischapter,theprobabilityofcon
8、structinganintervalthatcontainsmis1−α.ConfidencetothemethoditselfnottheintervalItisveryimportanttoknowthefollowingaspectsofintervalestimation:Theinterva
此文档下载收益归作者所有