The standard error (SE) is the standard deviation of the sampling distribution of a statistic. The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate. For example, the sample mean is the usual estimator of a population mean. However, different samples drawn from t...
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A common measure of the uncertainty associated with a numerical estimate. In a regression analysis, standard errors are often reported with (or below) the coefficient estimates. As a rough rule of thumb, one can be 95% confident that the true coefficient is within ±2 standard errors of the estimate.
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Standard deviation of the sample error distribution of sample estimates. 1.96 standard errors denotes the upper and lower bound margins of sample error that correspond with 95% confidence limits. (see also Sample error, Confidence limits)
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(from the article `statistics`) ...and that the standard deviation is given by /, where is the population standard deviation. The standard deviation of a sampling distribution is ...
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Standard error is a measure of variability. The standard error of a statistic is the standard deviation of the sampling distribution of that statistic. Standard errors are important because they reflect how much sampling fluctuation a statistic will show. The standard error of a statistic depends on the sample size. In general, the larger the sampl...
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In statistics, a measure of the possible error in an estimate. Plus or minus 2 standard errors usually provides a 95% confidence interval.
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http://www.duke.edu/~charvey/Classes/wpg/bfgloss.htm
In statistics, a measure of the possible error in an estimate.
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Standard error is the standard deviation of the values of a given function of the data (parameter), over all possible samples of the same size.
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The square root of the variance. A measure of dispersion of a set of data from its mean.
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Statistical estimate of possible size error present in a test score or other group measure.
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The precision of an estimator is measured by its standard deviation; hence, the standard deviation of an estimator is called its standard error.
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The standard error of the mean. The standard deviation divided by the square root of the number of data values. The extent to which we expect the sample mean to differ (+/-) from the population mean. The more data we have, the smaller this range becomes; but to get 10x the precision, we need 100x as much data. See also: Mean, Standard Deviation, St...
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The estimated standard deviation of a statistic (margin of error). Standard error of a sample mean e
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the standard deviation of a distribution of a sample statistic, esp. when the mean is used as the statistic.
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