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As an evolutionary model, BayesFactors revealed that a "hyperprior" approach with exponential prior distributions, whose means were sampled from a uniform distribution between 0 and 10 gave the best fit.
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A second graph was generated that represents the number of times each rate category (represented by its mean) was sampled out of 10,000 draws, i.e. the posterior probability of each category following Huelsenbeck et al. [4].
The population mean was sampled from a flat prior.
For example, the difference between a population mean and a sample mean is sampling error.
The adjusted means are sample means adjusted to a mean body weight and regression coefficient within a group [ 21].
A mean of 22 trees were sampled for each species (Table 3).
Sample means were compared using the independent samples Student's t-test with the statistical package SPSS v 16.
Means were weighted by sample size.
Sample means were compared using the unpaired Students' t test.
Differences between sample means were determined using the t test.
The probe and sample means were centred to zero.
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