SPSS软件对铁矿中微量元素含量的统计分析  

Statistical Analysis of Trace Elements in Iron Ores by SPSS Software

作　　者：任春生[1] 付冉冉[1] 王艳[1] 余清[1] 廖海平[1] 李宇璐 张爱珍[1] 

机构地区：[1]宁波出入境检验检疫局国家级铁矿检测重点实验室,浙江宁波315807

出　　处：《化学分析计量》2014年第2期80-84,93,共6页Chemical Analysis And Meterage

基　　金：浙江省公益性应用研究计划项目(2011C37069)

摘　　要：利用SPSS软件从统计学描述、正态分布检验、回归和相关分析、聚类分析和因子分析等方面对铁矿中微量元素含量特点进行了研究。分析结果表明:根据抽样样本,铁矿中11种微量元素含量均不符合正态分布特征,异常值分布矿种相对集中,重金属和硫及卤素之间的相关程度高,同时根据因子综合得分对矿种进行了分类,为铁矿品质评价和合理利用提供了一定的参考。By using the application of SPSS in statistical description, normal distribution test, regression and correlation analysis, cluster analysis and factor analysis in detail, the trace elements in iron ore were analyzed. The analysis results showed that the content of 11 kinds of trace elements in the iron ore did not accord with normal distribution characteristics, and the abnormal value in minerals was relatively concentrated, the degree of correlation between heavy metals, sulfur and halogen was higher, at the same time, the minerals were classified according to the factor comprehensive scores, it provides a certain reference for quality evaluation of iron ore and rational utilization.

关 键 词：SPSS软件 铁矿 微量元素 统计分析 

分 类 号：O651[理学—分析化学]