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一、为什么要进行数据化整通常在检定中,把高一等、级的计量标准所测得的量值称为实际值。这样,我们从计量标准器具上所获得的数值,其有效数字的位数与被检计量器具的准确度等级、灵敏度不相适应。在检定结果中,只能用反映实际值大小的那些有意义的数字来表示,对那些无意义或多余的数字就要进行处理,这就是我们常说的数据化整,以使给出的检定结果既合理又适用。二、数据修约规则 1.若舍去部分的数值,大于所保留的末位的0.5,则末位加1。 2.若舍去部分的数值,小于所保留的
First, why is it necessary to carry out data consolidation usually in the test, the higher first-class, level measurement standards measured value called the actual value. In this way, the values we obtain from the standard instruments, the effective number of digits and the accuracy of the dosing instrument level, sensitivity does not adapt. The results of the test, only to reflect the actual value of the size of those meaningful numbers to deal with those meaningless or redundant numbers to be processed, which is what we often say that the data set to give the test The result is both reasonable and applicable. Second, the data rounding rules 1. If the value of the part to be discarded, greater than the reserved last bit of 0.5, the last plus 1. 2. If you discard part of the value is less than retained