论文部分内容阅读
众所周知,计算结果的正确性取决于原始数据的正确性。然而,在很多论文中,作者将原始数据计算成各种统计量(由样本的观察值算得的概括值叫统计量,用拉丁字母表示,如样本均数用X表示,样本标准差用S表示)时,常常错误地计算到小数点以后很多位数,并把它当作有效数加以发表。这样的统计数字徒具外观上的精确性,而实际上只是一种假象。为了使论文中的统计数字如实反映真相,提高论文的科学性,本文以确定均数的有效位数为例,使读者举一反
As we all know, the correctness of the calculation results depends on the correctness of the original data. However, in many papers, the authors calculate the original data into various statistics (general values from observations of the sample are called statistics, expressed in Latin letters, if the sample mean is represented by X, and the sample standard deviation is represented by S. ), often mistakenly calculating a number of digits after the decimal point, and publish it as a valid number. Such statistics have appearance accuracy, but in fact it is only an illusion. In order to make the statistics in the paper faithfully reflect the truth and improve the scientific nature of the paper, this paper uses the effective number of digits as an example to enable the reader to take a