测量结果的不确定度是表征被测量的真值在某个量值范围的一个评定,按其数值评定的方法分为两类,一类是用统计法获得的不确定度,即统计不确定度,用标准差S及自由度v表征;一类是用非统计的其它方法获得的不确定度,即非统计不确定度,用近似标准差u_j,和置信概率p表征。为什么非统计不确定度的评定,又用了近似标准差和置信概率的概念,即又用了统计学的方法呢?不少人对此存有疑 Uncertainty in the measurement results is a measure of the true value of the measured value in a range of values, according to its numerical method is divided into two categories, one is the use of statistical methods to obtain the uncertainty, that is, the statistical uncertainty Degrees, with standard deviation S and degree of freedom v characterization; one is the uncertainty obtained by other means of non-statistical, non-statistical uncertainty, with approximate standard deviation u_j, and confidence probability p characterization. Why the non-statistical evaluation of uncertainty, but also used the concept of approximate standard deviation and confidence probability, which used a statistical method? Many people have doubts about this