Sentence examples for binomial tests were obtained from inspiring English sources

Counts of the raters who passed the binomial tests were obtained for intuitive comparison.

T test, Chi-square, and binomial tests were used for assessment of the data.

One-tailed binomial tests were computed using custom Python code.

Binomial tests were used to analyse individual performances.

Repeated measures ANOVAs or a sign test (two-tailed binomial test) were used for statistics.

Confidence intervals for the test-set estimates were obtained from the binomial distribution, using the R function binom.test.

Here, the obtained p value from a binomial test is not identified in a traditional way which a significance level at 0.05 or 0.01 are usually defined.

In case of the benchmark problems, the best solutions were obtained for Binomial and Weibull distribution.

Adjusted risk ratios were obtained by binomial regression with robust standard errors.

P values were obtained from the unpaired t test, Wilcoxon rank sum test, and Fisher exact test for variables with normal, nonnormal, and binomial distributions, respectively.

IRRs were obtained from negative binomial regression models.