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We tested for general differences in mean UCPs between the 5 experimental phases using the Friedman test.
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The replicated regression design used here (10 reps per density per region per seed type) permits two set of analyses to test for general differences between regions [23], [24].
We also use pairwise plots of patristic distances to test for general differences between infraspecific and interspecific variation.
It is hard to answer for general difference equations.
We calculated descriptive statistics for general characteristics of the participants separately by sex and tested for sex differences using the Wilcoxon rank-sum test for continuous variables and the chi-square test for categorical variables.
General descriptive data are presented as percentages or mean ± 1 S.D. Comparisons between groups were tested for statistical differences using chi-square analysis, Fisher exact test or two-tailed Student t test, as appropriate.
A separate general linear model with the same factors tested for differences between the three 1.2 m jump conditions.
We tested for differences in body masses among treatments using repeated measures analysis of variance, and for differences in resting between pre- and post-flight period and among individuals and treatments using a general linear model.
A general linear model with mL O2 m−1 as the dependent variable, jump condition as a fixed factor and participant identification as a random factor, including LSD post hoc tests, tested for differences between the four 1.8 m jump conditions.
First, we tested for marginal group differences.
To test for a general rate difference between Cape and non-Cape clades, we analyzed four data sets [ 23, 44], all containing clades distributed within and outside the CFR, representing in total 537 plant species.
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