近代科学研究的特点之一是更紧密地依靠实验。对实验工作者来说,除实验技木本身外,对实验中荻得的大量数据如何正确处理,是十分重要的一个方面。本书作者根据多年来的经验,并参考国外有关书籍,初步论述了上面所说的问题。作者首先介绍常用的标准单位,然后介绍了各种误差的概念,并区别它们之间的差异,同时明确其实用范围。接着作者讨论了在测量中误差分布的各种情况,即所测数值与真值之间的关系,以及如何从一组观测值中确定一最佳值。对于不能直接测量的数值,作者也阐述了间接测量的方法,以及如何计算由此而产生的误差。本书共介绍三种表示实验教据的方法:列表法,图解法及方程法。列表法是把实验中的自变数与因交数的数值依一定规律一一地对应起来。表的形式一般分定性式、统计式与函数式三种,本书仅介 One of the characteristics of modern scientific research is to rely more closely on experiments. For experimental workers, in addition to the experimental technique itself, it is an important aspect of how to deal with the large amounts of data obtained from experiments in the experiment. Based on years of experience and with reference to relevant foreign books, the author of this book has tentatively discussed the above-mentioned problems. The author first introduces the common standard units and then introduces the concepts of various errors, distinguishes them from each other, and at the same time defines their practical range. The authors then discuss the various cases of error distribution in the measurement, that is, the relationship between the measured value and the true value, and how to determine an optimal value from a set of observations. For values ​​that can not be directly measured, the author also describes the indirect measurement method and how to calculate the resulting error. This book altogether introduces three kinds to demonstrate the experimental teaching method: list method, graph method and equation method. The list method is to match the experimental independent variables with the numerical values ​​of the corresponding numbers according to a certain law. The form of the table is generally divided into qualitative, statistical and functional three, the book only mediated