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Uni- and multivariate data analyses were applied.
Mixed model, response surface, and simple linear regression analyses were applied on the meta-data.
For calculation of correlation coefficients, Pearson's or Spearman's correlation analyses were applied.
ANOVA analyses were applied to determine the significance of the association of the marker allele with the phenotype.
To determine the OTUs driving the observed differences between red coral-associated microbial communities at different locations, Similarity Percentage (SIMPER) analyses were applied to the OTU tables.
Deterministic stability analyses such as limit equilibrium, sensitivity and back analyses were applied.
Finally, statistical analyses were applied to measure the convergence and accuracy of trainees' knowledge structures.
Response surface analyses were applied to visualize the effects of the interactive term.
Principal component analyses were applied to the two data sets separately.
Palynological, physical, and geochemical analyses were applied to organic sediments, and plant macroremains were examined.
Linear and quadratic regression analyses were applied to predict the outcomes of the experiment.
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