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本文介绍了科研工作中测试数据的误差来源和重复测量取得数据的最佳处理方法,以正态分布的随机误差的概率密度函数为前提,引用实际所获得的数据为例子,介绍怎样进行对实验数据的异常值的剔除。
This paper introduces the sources of error of the test data in the research work and the best method to obtain the data by repeated measurement. Based on the probability density function of random error with normal distribution, the actual data obtained is used as an example to introduce how to conduct the experiment Data out of the abnormal value.