851. Standard deviations and standard errors
- Author
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Douglas G. Altman and J M Bland
- Subjects
Studentized range ,Statistics as Topic ,Normal Distribution ,General Engineering ,Reproducibility of Results ,Unbiased estimation of standard deviation ,General Medicine ,Standard score ,Standard deviation ,Education and Debate ,Standard error ,Bessel's correction ,Statistics ,General Earth and Planetary Sciences ,Geometric standard deviation ,Median absolute deviation ,General Environmental Science ,Mathematics - Abstract
The terms “standard error” and “standard deviation” are often confused.1 The contrast between these two terms reflects the important distinction between data description and inference, one that all researchers should appreciate. The standard deviation (often SD) is a measure of variability. When we calculate the standard deviation of a sample, we are using it as an estimate of the variability of the population from which the sample was drawn. For data with a normal distribution,2 about 95% of individuals will have values within 2 standard deviations of the mean, the other 5% being equally scattered above and below these limits. Contrary to popular misconception, the standard deviation is a valid measure of variability regardless of the distribution. About 95% of observations of any distribution usually fall within the 2 standard …
- Published
- 2005
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