Standard error


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Standard error

In statistics, a measure of the possible error in an estimate. Plus or minus 2 standard errors usually provides a 95% confidence interval.

Standard Error

An estimate of the standard deviation of a data set. See also: Confidence interval.
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and the estimated standard error of the marginal effect would be:
The relative standard error of a natural gas volume estimate is the square root of the variance of the estimate divided by the published volume.
For example, the estimated standard error in year-over-year inflation under ordinary circumstances is 0.
While discussion that follows concentrates on the effects of alcohol consumption and specification tests, appendix 1, for the binge drinking measure, shows the IV coefficients and marginal effect standard errors of all exogenous variables on the probability of enrollment for the high school age sample.
This data set resulted in a model that provided a standard error of only 4.
The defts in Table 1 indicate that the standard error of the estimate for people age 15 and older with any insurance is 13% larger when using GVF than the SRS; the replicate weight method produces a standard error that is 48% larger.
05, but this result was sensitive to the method of standard error estimation.
The authors cover descriptive statistics (the histogram, average and standard deviation, normal approximation for data, measurement error and plotting points and lines), correlation and regression (including the RMS error for regression and the regression line), probability (chance, the binomial formula), chance variability (the law of averages, expected value and standard error, and normal approximation for probability histograms), sampling (errors, accuracy of percentages and case studies), chance models, including those used in genetics and tests of significance, including the chi-square test.
Panel D of the figure shows the standard error of the estimated components, where the standard error is computed by estimating the standard deviation of the first term on the right-hand side of (1.
2) corresponds to a rational function regression (1), with a standard error of S=11.
The standard error of the mean for the pretest social responsibility data was SE = .
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