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The Chi-Squared goodness of fit test, Mann–Whitney U test and exact hypothesis test with binomial distribution were performed to analyse data.
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Transformation as well as statistical tests for motif overrepresentation under binomial distribution was performed as previously described [ 18].
A two-sample, one-sided prospective power analysis (exact binomial distribution) was performed to calculate the sample size required per group in a pair-wise comparison to document a statistically significant increase in 60-day survival outcome from 5% (single modality) to 60% (combination modality).
To analyse the relationships between the occurrence of TBE clinical cases per province, forest composition and ungulate density, a Generalized Linear Model (GLM) with binomial error distribution was performed using S-PLUS 7.0 (Insightful, Seattle, Washington, USA).
The binomial distribution test was performed to compare aberrant hypomethylation and aberrant hypermethylation within each comparison pair (AxC, TxC, and TxA).
Within specific categories, binomial distribution probability tests were performed to test for enrichment in the up/down regulation patterns of functionally related genes (expectation = 0.5).
The sample is drawn without replacement, so, strictly speaking, the binomial distribution is not applicable.
The binomial distribution is now a conditional probability, given the value of r.
Negative binomial distribution was used for curve fitting.
A standardized binomial distribution is a binomial distribution scaled and translated so that it has zero mean and unit variance.
Also, note that k* values obtained from binomial distribution are smaller than from hypergeometric distribution.
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