Sentence examples for binomial test for the from inspiring English sources

The 95% confidence interval of the proportion of apparent heterozygosity, as calculated using an exact binomial test for the entire set of marker data, is 0.946 0.986.

Using a one-sided binomial test, for the purple line to be present in 90% of observations (at an 80% confidence and an alpha level of 0.05) a minimum sample of 84 women was required.

It is highly unlikely that the same strain would dominate in all twelve independently evolved populations solely due to chance (p < 0.0001: Binomial test for the dominance of one clone (p = 1/8) in twelve populations (k = 12) out of twelve populations (n = 12)).

The relative increase in the number of raters who passed the binomial test for the inter-goniometer ≤ 5-degree agreement was due to the instances where the individual intra-goniometer inter-trial differences exceeded 5 degrees for both instruments, but the inter-goniometer intra-trial differences of the same measurements were within 5 degrees.

On an individual level, all crows had a significant preference for the baited cup in the both condition (Binomial test: P < 0.004) and five out of six birds had this preference also in the baited condition (Binomial test: for these five birds, all P < 0.004; the sixth bird, P = 0.210).

The allelic fraction of the mutation is compared with this error rate using a binomial test for significance; the mutations are then classified as germ line or somatic using a Fisher exact test.

Comparisons of the incidence of adverse events used the exact binomial test for within-subject comparisons and the Fisher exact test for between-subject comparisons.

The 95% confidence interval and p-values resulted from the binomial test for each case are given in the table.

The p-values concern p-values of the binomial test for comparing two proportions, used to test whether the number of hits under the extended univariate moderation model is significantly different from the number of hits under the full bivariate moderation model.

The p-values concern p-values of the binomial test for comparing two proportions, used to test whether the number of hits under the extended univariate moderation model is significantly different from the number of hits under the full bivariate moderation model The results of these simulations are presented in Table  6.

For PANTHER the P-value listed is calculated by the program using the binomial test for each category with a Bonferroni correction.