standard error


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Related to standard error: variance

standard error

Abbreviation: S.E.
A measure of variability that could be expected of a statistical constant following the taking of random samples of a given size in a particular set of observations. An important standard error is that of the difference between the means of two samples.
See also: error
Standard errorclick for a larger image
Fig. 288 Standard error .

standard error

an estimate of the STANDARD DEVIATION of the means of many samples, calculated as the standard deviation (s) divided by the square root of the number of individuals in a sample (n), i.e. s /Vn . See Fig. 288 . The SE can be used to assess any SIGNIFICANCE in the deviation of the mean of a sample from the true mean of the whole population.
References in periodicals archive ?
Absolute bias, standard error estimates, and coverage rates for [[beta].sub.1] by method and percent of outlying observations appear in the bottom panel of Table 5.
For statement no.13, a mean of 2.07, standard error of 0.143 and standard deviation of 1.482, shows that topics on feedback and error correction are not included in teachers professional courses.
The standard errors for monthly natural gas volume and price estimates by State are given in Table C1.
An increase in the standard error of the CPI reduces its usefulness to policymakers.
The missing data simulation, multiple imputation with the RF method, pooling of the disability estimates and their standard errors, and scatter plots were performed using functions written in the R software package version 2.13.0 (The R Foundation for Statistical Computing).
While the discussion that follows concentrates on the effects of alcohol consumption and results from specification tests, appendix 1 (for binge drinking) shows the IV coefficients and marginal effect standard errors of all explanatory variables on both absenteeism measures.
GE Infinia camera at 10 cm shows the linearity behaviour with variance 2.523 x [10.sup.-4] and standard error 0.0143.
The chart in figure 4 begins with a universal OAN model with the highest standard error of 6.7 [cm.sup.3]/100 g, as shown in figure 5.
To assess SRS-based variances relative to GVF- and replicate weight-based variances to calculate standard errors, a ratio of the standard error when adjusting for the complex sample design to the standard error under a SRS assumption is calculated for each subgroup.
Soil particle size distribution, C and N concentrations, C/N ratio, and pH of different soil types Within columns, values followed by the same letter are not significantly different at P = 0.05 Clay Soil types Sand Silt (%) C Rhodic Kandiudult 51.6a 11.5 37.0a 1.36a Typic Kandiudult 51.3a 9.6 39.1a 1.79a Typic Kandiudox 43.4b 9.2 47.7b 2.34b Standard error 1.32 0.56 1.48 0.11 pH Soil types N C/N ([H.sub.2]O) Rhodic Kandiudult 0.13 10.5a 5.23a Typic Kandiudult 0.14 12.9ab 4.78ab Typic Kandiudox 0.16 14.8b 4.67b Standard error 0.006 0.41 0.10 Table 2.
The continuation analysis found evidence of a bilingual education effect at p < .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.

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