The phrase
"standard error" refers to a measure of how much the results of a study or experiment may vary from the true value. It helps in understanding the precision or accuracy of the data by showing the average amount of error we can expect.
Full definition
The outcome of this methodology, in relation to
smaller standard errors and confidence intervals, is presented in the table and graphs below.
These situations may arise due to the fact that
standard errors vary across states / jurisdictions and estimates.
Average start time (
with standard error) and percentage distribution of start times were calculated by school level and state.
Furthermore, they say, a test's
standard error of measurement may be large enough to throw into question the use of the results.
Thereafter, we plan to combine the estimates and associated corrected
standard errors from the cluster - randomised trials with those from parallel designs using the generic inverse variance method in RevMan (Deeks 2011; RevMan 2014).
The conservative total
standard error associated with the MAT estimate based on this transfer function has been reported as 5.0 °C (Data Repository).
I could go on
about standard errors being bigger for charter sectors and whatnot, but who are you going to believe a boring statistics lecture or your own lying eyes?
A statistical test of the indirect effect of monitoring on adherence and hemoglobin A1c was performed using
bootstrapped standard errors as recommended by Shrout and Bolger (2002).
CALCULATING ESTIMATED RESIDENT POPULATION - FINAL Empirical Bayes method 9 Given the relatively
high standard errors for net undercount by Indigenous status by state, the ABS used the Empirical Bayes estimation method to estimate more reliable undercount inputs for use in deriving population estimates.
Multilevel models properly take into account this non-independence and
adjust standard errors appropriately (Raudenbush & Bryk, 2002).
the model may be «correct,» but you have gone overboard by adding predictors that are redundant leading to problems such as
inflated standard errors for the regression coefficients» (i.e., overconfidence in the prediction algorithm).
The factor regression tool supports the use of robust
standard errors based on the Newey — West estimator.
For positive quality, the difference score for grandmother and grandfather (G1) reports of positive relationship quality regarding target (G2) and middle - aged target (G2) reports regarding their parents (G1) was negatively associated with targets» (G2) reports of relationship quality regarding their children (G3; b = −.24, standard error [SE] =.06, p <.01; b = −.22, SE =.08, p <.01, respectively).
In extensive tests, NCGCP found crevasse measurements had a
lower standard error in duplicate measurements than probing (Pelto, 1996, 1997).
Models were estimated in Mplus with a Robust Maximum Likelihood estimation method (Satorra and Bentler 1994), to provide better estimations of
standard errors when normality assumptions are violated.
Uncertainties for upper - ocean heating rates are given at one
standard error derived from OHCA uncertainties.
Phrases with «standard error»