基于spss粗选钼尾矿选矿指标的数据分析

Statistical Analysis of Molybdenum Ore Rougher Flotation based on the Spss

选矿工艺试验,往往是通过多次重复试验来保证所需试验精度。而大量的试验数据,会给选矿工作者在提取有价值数据和挖掘各数据相关性的工作中带来一定难度。spss中的因子分析方法,为指标测评抽象因子的统计方法。它可将原始数据中的信息重叠部分提取和综合成因子,进而最终实现减少变量个数的目的。文章以钼尾矿粗选的多次试验数据作为研究变量,结果表明,不但可以简化分析量,还可从众多数据中提炼出试验规律。因此得出结论,此方法不失为一种分析大量选矿数据的有效方法。

In terms of ore-dressing technique,in order to ensure accuracy test,we ususlly do more repeated-measures.But it will take the challenging in collections of valuable data extraction and mining the data dependency.The method of factor analysis,is a statistical method which has the functioning of assessing indicator in abstracted factor analysis.The part of overlap information in raw data can be extracted and synthesized factors,which can finally achieve the purpose of reducing variable number.This article takes the repeated-measures as nominal variable.The results demonstrated that,through the spss,we can not only simplify the quantity of information,but also get the rule of the ore-dressing technique.So we can come to the conclusion that it is an effectually method in analysing the mineral processing data.