Sentence examples for bound of the binomial from inspiring English sources

Generally, less than 5% of significant t-tests are considered to be unidimensional (or the lower bound of the binomial confidence interval overlaps 5%) [ 12].

If more than 5% of these tests are significant (or specifically the lower bound of the binomial confidence interval is above 5%), the scale is multidimensional [ 27].

Unidimensionality is indicated if less than 5% of t-tests are significant (or the lower bound of the binomial confidence interval overlaps 5%)[ 32, 33].

7) Unidimensionality by independent t-test at the person level showing less than 5% of tests to be significant (or the lower bound of the binomial confidence interval to overlap 5%, where required) [ 27, 28].

Using a series of independent t-tests, if more than 5% of these tests are significant (or specifically the lower bound of the binomial confidence interval is above 5%), the scale is deemed to be multidimensional.

Setting twice the background error rate as upper bound of the binomial confidence interval, only 0.0041% and 0.00002% of the variants are expected to be miscalled as true variant on the Illumina MiSeq and Ion Torrent PGM, respectively.

Unidimensionality was considered statistically supported when the proportion of significant individual t-tests, or the lower bound of the associated 95% binomial confidence interval, did not exceed 0.05 [ 38].

The reason for applying the correction to Nm, however, is that this value has no upper bound for the binomial calculation.

Unidimensionality was confirmed if less than 5%% of subjects had significant t-scores, as estimated by the lower bound of a binomial 95%% CI [ 24].

To reduce noise due to small samples of top-ranked genes, both the fraction of genes and the low bound of a 95% binomial confidence interval (with n = number of top-ranked genes and p = fraction of joint genes) were used.

As a prelude to discussing the uncertainty bound of final size, we first consider the confidence interval of a binomial proportion, which has been widely used in published seroepidemiological studies shown in Table 1.