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Thus, the t- value measures how many standard errors the estimate is away from zero.
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The large standard errors on many of the RS values within the family (Fig. 4) pose a particular problem in formulating rate-change scenarios with any certainty.
Formulas for computing sampling errors applied in many standard statistical software packages such as the base module of SPSS assume simple random sampling.
These new estimates would be used with Eq. (4) to get a new estimate of Ŷ T. This process would be repeated many times and the standard error of the many estimates of Ŷ T used as the estimate of ( widehat{sigma}left({widehat{Y}}_Tright) ).
10 The standard errors for the metro-level estimates are comparable to, and in many cases smaller than, the clustered standard errors for the microdata regressions.
This phenomenon is evident in Supplementary Figures S7(b) and S10(d), which compare reference-free and unadjusted standard errors for the blood and PBMC datasets, respectively; these plots demonstrate that for many known leukocyte DMRs, the standard errors in the reference-free method are noticeably smaller than the corresponding standard errors from the unadjusted analysis.
Error bars represent standard errors.
Error bars indicate standard errors.
Error bars denote standard errors of mean.
Grey shades indicate standard errors.
(b) Enrichment + /− 2 standard errors.
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