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We also independently calculated P values of each mate-choice result by the two-tailed binomial test to find how significantly the male approaches are biased from 50 50.
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To this end, I applied an exact binomial test to the 1.35 × 107 possible pairs of the 5188 reactions found in the 222 networks I studied.
We use a binomial test to assess the statistical significance of the activity scores (see Methods).
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 used an exact binomial test to examine the significance of overlap between LRES or LREA regions and earlier or later domains.
We use a simple binomial test to evaluate the significance of the activity score defined here.
We use a one-sided binomial test to compute a P -value for this deviation.
Two procedures were used to detect editing sites: (A) 'weak' editing sites procedure: a binomial test was applied to find the significant modifications between RNA reads and the Swiss-Prot ORFs.
Using the mean coverage rate of CLIP-identified mRNA targets (including the flanking 15 nt) as the expected probability to perform a binomial test, we found that the coincidence of 193 predicted piRNA target sites relative to CLIP-identified targets within 169 genes was highly significant (P = 0.00018).
Using the binomial test, we found that the number of nonsynonymous differences in each of these genes is unlikely to occur by chance (P < 0.03 for dnaE and P < 0.01 for the remaining genes), given the number of nonsynonymous sites in each gene and the overall level of nonsynonymous differences across the genome.
Significant male bias (P = 0.02, binomial test) was found in only one sample.
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CEO of Professional Science Editing for Scientists @ prosciediting.com