描述数据数值测量章目标金融建模chap003.pptx

下载文档

0
0
约6.83千字
约 33页
2024-08-27 发布于北京
举报
版权申诉
保障服务

描述数据数值测量章目标金融建模chap003.pptx

1、本文档共33页，可阅读全部内容。
2、原创力文档（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。
3、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。

DescribingData:

NumericalMeasuresChapter3

3-2GOALSCalculatethearithmeticmean,weightedmean,median,mode,andgeometricmean.Explainthecharacteristics,uses,advantages,anddisadvantagesofeachmeasureoflocation.Identifythepositionofthemean,median,andmodeforbothsymmetricandskeweddistributions.Computeandinterprettherange,meandeviation,variance,andstandarddeviation.Understandthecharacteristics,uses,advantages,anddisadvantagesofeachmeasureofdispersion.UnderstandChebyshev’stheoremandtheEmpiricalRuleastheyrelatetoasetofobservations.

3-3NumericalDescriptiveMeasuresMeasuresofLocationArithmeticMeanWeightedMeanMedianModeGeometricMeanMeasuresofDispersionRangeMeanDeviationVarianceStandardDeviation

3-4PopulationMean Forungroupeddata,thepopulationmeanisthesumofallthepopulationvaluesdividedbythetotalnumberofpopulationvalues:

3-5EXAMPLE–PopulationMean

3-6SampleMeanForungroupeddata,thesamplemeanisthesumofallthesamplevaluesdividedbythenumberofsamplevalues:

3-7EXAMPLE–SampleMean

3-8PropertiesoftheArithmeticMeanEverysetofinterval-levelandratio-leveldatahasamean.Allthevaluesareincludedincomputingthemean.Themeanisunique.Thesumofthedeviationsofeachvaluefromthemeaniszero.

3-9WeightedMeanTheweightedmeanofasetofnumbersX1,X2,...,Xn,withcorrespondingweightsw1,w2,...,wn,iscomputedfromthefollowingformula:

3-10EXAMPLE–WeightedMeanTheCarterConstructionCompanypaysitshourlyemployees$16.50,$19.00,or$25.00perhour.Thereare26hourlyemployees,14ofwhicharepaidatthe$16.50rate,10atthe$19.00rate,and2atthe$25.00rate.Whatisthemeanhourlyratepaidthe26employees?

3-11TheMedianTheMedianisthemidpointofthevaluesaftertheyhavebeenorderedfromthesmallesttothelargest.Thereareasmanyvaluesabovethemedianasbelowitinthedataarray.Foranevensetofvalues,th