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统计学探索:标准差与标准误差。

Explorations in statistics: standard deviations and standard errors.

作者信息

Curran-Everett Douglas

机构信息

Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO 80206, USA.

出版信息

Adv Physiol Educ. 2008 Sep;32(3):203-8. doi: 10.1152/advan.90123.2008.

Abstract

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This series in Advances in Physiology Education provides an opportunity to do just that: we will investigate basic concepts in statistics using the free software package R. Because this series uses R solely as a vehicle with which to explore basic concepts in statistics, I provide the requisite R commands. In this inaugural paper we explore the essential distinction between standard deviation and standard error: a standard deviation estimates the variability among sample observations whereas a standard error of the mean estimates the variability among theoretical sample means. If we fail to report the standard deviation, then we fail to fully report our data. Because it incorporates information about sample size, the standard error of the mean is a misguided estimate of variability among observations. Instead, the standard error of the mean provides an estimate of the uncertainty of the true value of the population mean.

摘要

学习统计学很像学习科学

如果你能积极探索,学习会更有意义。《生理学教育进展》中的这个系列就提供了这样一个机会:我们将使用免费软件包R来研究统计学的基本概念。由于本系列仅将R作为探索统计学基本概念的工具,所以我会给出必要的R命令。在这篇开篇论文中,我们探讨标准差和标准误之间的本质区别:标准差估计样本观测值之间的变异性,而均值的标准误估计理论样本均值之间的变异性。如果我们没有报告标准差,那么我们就没有完整地报告我们的数据。由于均值的标准误纳入了样本量的信息,所以它是对观测值之间变异性的一种误导性估计。相反,均值的标准误提供了对总体均值真实值不确定性的一种估计。

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