It measures the error or variability in predicting Y.
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Standard error is a measure of precision.
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.
The standard score associated with a given level of significance.
Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.