数据的概括性度量

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1、第4章数据的概括性度量PowerPoint统计学Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.第4章数据的概括性度量§4.1集中趋势的度量§4.2离散程度的度量§4.3偏态与峰态的度

2、量Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.学习目标1.掌握集中趋势各测度值的计算方法2.掌握离散程度各测度值的计算方法3.理解偏态与峰态的测度方法4.能熟练运用Excel计算描

3、述统计量并进行分析Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.§4.1集中趋势的度量一.分类数据：众数二.顺序数据：中位数和分位数三.数值型数据：均值四.众数、中位数和均值的比较E

4、valuationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.集中趋势(Centraltendency)一组数据向其中心值靠拢的倾向和程度测度集中趋势就是寻找数据水平的代表值或中心值不同类型的数据用不

5、同的集中趋势测度值低层次数据的测度值适用于高层次的测量数据，但高层次数据的测度值并不适用于低层次的测量数据Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.一、分类数据：众数Evalua

6、tiononly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.众数(mode)出现次数最多的变量值不受极端值的影响不唯一性：一组数据可能没有众数或有几个众数主要应用于分类数据，也可以应用于顺序数据和数值型数据E

7、valuationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.众数(不唯一性)无众数原始数据:10591268一个众数原始数据:659855多于一个众数原始数据:252828364242Evaluat

8、iononly.CreatedwithAspose.Slidesfor.NET3.5ClientProfile5.2.0.0.Copyright2004-2011AsposePtyLtd.Evaluationonly.C