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在分析检验工作中,最终目的是报出准确可靠的分析数据。不准确的分析结果会导致产品报废,资源浪费,甚至在科学上得出错误结论。但是在分析过程中,即使技术很熟练的人,用同一方法对同一试样仔细进行多次分析,也不能得到完全一致的分析结果,这就是说分析过程中误差是客观存在的。作为一名分析工作者,必须掌握和了解误差产生的原因和规律,掌握分析数据的科学处理方法,尽可能减少误差提高分析结果的准确度。
In the analysis of testing, the ultimate goal is to report accurate and reliable analytical data. Inaccurate results can result in scrapped products, wasted resources, and even scientifically erroneous conclusions. However, in the process of analysis, even the most technically skilled person can not obtain a completely consistent analysis result by carefully analyzing the same sample multiple times in the same way, which means that the error is objective during the analysis. As an analyst, we must understand and understand the causes and rules of errors, master the scientific methods of analyzing the data, and minimize the errors to improve the accuracy of the analysis results.