教学实验数据处理中的平均分组法和最小二乘法

Methods Between Average Packet and Least Squares in the Teaching Experiment

实验数据处理是教学实验中的一个重要环节,学生常因不能准确理解相关概念和分析方法,而采用了错误的实验数据处理方法。针对该问题,文中通过介绍实验数据处理中的平均分组法和最小二乘法,结合误差理论进行针对性分析,给出平均分组法计算量小但误差较大,最小二乘法所得结果精确度高但计算过程烦琐的结论。在教学实验数据处理环节,建议依靠计算机软件,使用最小二乘法来处理实验数据。

Experimental data processing is an important part in the teaching experiment, students often cannot accurately understand the relevant concepts and analysis methods, and so choose one wrong method in data processing. Aiming at this problem, through the introduction of the average packet method and the least square method, combined with the analysis of error theory, given the conclusion that the average packet method with small amount of calculation but the error is large, and the least square method with high accuracy but the calculation process is cumbersome. Relying on computer software, the least squares method is recommended in teaching experimental data processing.