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小块样品体重值的准确与否,直接影响着储量数字的精度.由于岩石孔隙度和取样位置等种种原因,小样体重往往不能代表整个矿床的矿石体重.如用大样来校正小样体重值,则因大样体重测定工作量多,误差在所难免,它的代表性仍然是有限的.我们在冀东铁矿应用数理统计的方法分析了小样体重值后,发现可溶铁SFe品位x与小样体重值y的关系可用y对x的回归直线方程来表示:
The accuracy of the weight value of a small sample directly affects the accuracy of the reserves figures.Due to the rock porosity and sampling location and other reasons, the sample weight often can not represent the ore body weight of the entire deposit.If a large sample to correct sample weight, Because of the large amount of sample weight determination, the error is inevitable, and its representation is still limited.We use the method of mathematical statistics Jidong iron ore analysis of the sample weight value, we found that soluble iron SFe grade x and The relationship between the sample weight value y can be expressed by the linear regression equation of y on x: