由于粒度分析中统计工作量大,方法多,仪器各异,因此,对分析数据的可靠性或精度必须进行检验。多次重复测定一个样品会得出一组参差不齐的数据,这些数据间的差异叫误差。误差来源有两个,一个是因测量条件的改变(仪器、方法或操作者等)而引起的误差一般叫条件误差,它是不可避免的;另一个是由于测量的不准确性(仪器精度低、操作不当 Due to the large amount of statistical work in the particle size analysis, many methods and different instruments, the reliability or accuracy of the analytical data must be examined. Repeated determination of a sample will produce a set of uneven data, the difference between these data is called error. There are two sources of error, one is the error caused by the change of the measurement conditions (instruments, methods or operators, etc.) is generally called the conditional error, which is inevitable; the other is due to the measurement inaccuracy (low accuracy of the instrument , Improper operation