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Exact(10)
T test, Chi-square, and binomial tests were used for assessment of the data.
T test, Chi-square, and binomial tests were used to analyze the data and P value was set at P < 0.05.
Paired t-tests and binomial tests were used to access differences between ligands and non-ligands as well as differences between NetMHCIIpan and the new method.
Binomial tests were used to determine whether the proportion of females that preferred males of the same lineage rather than the divergent lineage reached statistical significance.
Binomial tests were used to determine the statistical significance of differences between the actual accuracy rates for each type of test and those expected on the basis of chance (i.e., 33.3%).
Binomial tests were used to analyse individual performances.
Similar(50)
Repeated measures ANOVAs or a sign test (two-tailed binomial test) were used for statistics.
The Binomial test were used to determine the statistical significance of the intersection between datasets as well as the ERE motif and ER-binding site analyses.
The exact binomial test was used to compare US state-level application use to the mean.
As binary data (ingested or rejected) was collected in the present study, the one-tailed binomial test was used to determine the significance of difference among the treatments.
As the feeding response observed was a binary data (ingested or rejected the TS pellet), binomial test was used for the data statistical analysis.
More suggestions(13)
binomial models were used
binomial tests were calculated
binomial formulas were used
binomial tests were obtained
binomial distributions were used
binomial probabilities were used
binomial CIs were used
binomial errors were used
binomial tests were performed
binomial FDRs were used
binomial tests were carried
binomial regressions were used
binomial tests were computed
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