Sentence examples for incorrect standards from inspiring English sources

The engineering report, which was done in 2010, also found that Johnson & Johnson's orthopedic unit had used inadequate or incorrect standards in trying to assess some of those risks before first selling the implant in 2003.

Weights were standardized to avoid generating incorrect standard errors and confidence intervals [ 15, 16].

It can ask a military appellate court, the US court of military commission review, to reverse Pohl's ruling, arguing that he applied an incorrect standard.

The Democrats went to court today to argue that the board here was using "a narrow, incorrect standard" during its hand recount by refusing to count punch-card ballots with just a single indentation as votes for one presidential candidate.

Dropping participants from the weighting protocol would result in unrepresentative weights and incorrect standard errors (Chen and Chantala 2014).

In the first three experimental lessons, all of the three teachers often judged students' answers based on a "correct or incorrect" standard (Source A).

The teachers used these arguments to explain why they applied a transmissive teaching style and judged students based on a "correct or incorrect" standard in the first experimental lessons, although they were aware that they should not have done so.

Indeed, tree diameter could be measured accurately (mean of replicates close to the true value), but imprecisely (high variance among replicates), or precisely (low variance of replicates) but inaccurately (e.g. measured with an instrument calibrated with an incorrect standard) [13].

In regression analyses, omission of that autocorrelation can bias parameter estimates and yield incorrect standard error estimates.

It is well known [ 1] that a standard regression model which ignores clustering provides incorrect standard errors for the estimates of the regression coefficients.

Indeed, tree diameter could be measured accurately (mean of replicates close to the true value), but imprecisely (high variance among replicates), or precisely (low variance of replicates) but inaccurately (e.g. measured with an instrument calibrated with an incorrect standard) [ 13].