# standard error

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## standard error

n.
A generalized notion of standard deviation, used to characterize the dispersion of a statistic (such as the sample mean) calculated from randomly sampled data.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

## standard error

n
(Statistics) statistics the estimated standard deviation of a parameter, the value of which is not known exactly
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In SOI reports, the standard error is not directly presented.
Considering all scenarios, the average (over the 10,000 replicates) of the estimated standard error (ASE) via the nonparametric method was greater than or equal to the empirical standard error (ESE).
In addition, it was expected that for smaller sample sizes JR_SE would produce somewhat larger standard error estimates than JR_CS, but that with larger samples this difference would be diminished.
3, a mean of 2.54, standard error of 0.134 and standard deviation of 1.382 depicts that in average about 20 to 30 minutes daily are spent by the teachers for providing feedback to students' writings.
The mean of the interspinous distance was 23.2 cm (CI 95 % 23 to 23.4), with a standard error of the mean of 0.1, a variance of 1.7 and standard deviation of 1.3.
In Table 1, the number of observations (N), mean and standard error, are provided.
Dowd, Greene, and Norton (2014) opine that inclusion of B in equation (6) "seems incorrect to us" and exclude it from the suggested formulation of the asymptotic standard error of [??] given in their equation (18).
In an article published in the University of Richmond Law Review in 2007, Katherine Gustafson and I reviewed the drafting history and the relevant scientific and professional literature, showing that the statutory language referring to IQ testing was intended to incorporate standard professional practice, including recognition of the standard error of measurement in interpreting IQ scores.
In the absence of outliers the mean estimate and type 1 error of the two parameters were acceptable for all three models; however, the empirical standard error was much larger than the asymptotic standard error for the classical and semi-parametric models while these two types of standard error were similar in magnitude in the rank regression model.
Just as I described the differences between standard deviation and standard error in this editorial, I plan to help readers navigate this increasingly complex range of statistical testing being reported in results sections in JVIB in future Statistical Sidebars.
This estimate of standard error for Ventana includes data for five plants that established before 1800 and 32 plants that established before 1850.
The standard error statistic is a measurement of sampling error.

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