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In cases in which individuals performed more than 6 actions at the feeding box, we used a binomial test to test for a preference for one technique.
To calculate the significance of differences in normalized read counts, we used the sage.test function from the statmod package in R (http://www.r-project.org), which implements an exact binomial test to test for differential expression in individual genes.
For each isotig and singleton, we summed D and C across both strand-specific datasets, and then used a two-tailed binomial test to test whether C was significantly greater or less than D (P < 0.05), which would indicate the corresponding isotig or singleton is in the forward or reverse orientation, respectively.
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This study introduces a formal statistical test known as the "C test" to determine when there is a need to apply the beta-binomial test instead of the binomial test to screen a roadway network.
We also used a threshold dependent one-tailed binomial omission test to test the hypothesis that test points are predicted no better than at random for each of 11 thresholds implemented in Maxent v3.1.
One such tool, Genomic Regions Enrichment of Annotations Tool (GREAT), uses a binomial-based test to test whether the total number of peaks within the loci in a gene set is greater than expected relative to the total number of peaks, the total locus length of the gene set and the non-gapped length of the genome (McLean et al., 2010).
This study then formulated a formal collision diagnosis test, known as the beta-binomial test, to clarify and illuminate the selection and the prioritization of jurisdiction-specific emphasis areas.
The parameters were set as follows: assessment was set to overrepresentation, statistical test to binomial test, multiple testing correction to FWER correction, significance level to 0.05.
To determine if the differences we found between our simulations, which assumed that repeat element transcription occurred simply at random, and the sequencing data are statistically significant, we used a negative binomial test designed to test for differential expression in the RNA Seq data [ 25].
A binomial test (sign test) was performed on answers to the questionnaires.
Using the one-sided binomial test ("Exact Test") with the given hypotheses, the study requires 37 patients to decide whether the LC-5yR is less or equal to 0.5 or greater or equal to 0.7.
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