Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

Statistical Analyses

AR Angia Sriram Pradeep Ram
JC Jonathan Colombet
FP Fanny Perriere
AT Antoine Thouvenot
TS Télesphore Sime-Ngando
request Request a Protocol
ask Ask a question
Favorite

Differences in physicochemical and biological variables between seasons (Spring: April to June, Summer: June to September, and Autumn: September to November) were tested by one-way analysis of variance (ANOVA). Assuming that our triplicated samples for each sampling date and depth were independent replicates, we used two-way ANOVA to test the potential effects of seasons and depths on the variability in the targeted biological variables. Interactions terms were always included in the analyses. Potential relationships among variables (abiotic and biotic) were tested by linear pair-wise correlations (i.e., Pearson correlation analysis) and stepwise multiple regressions. Data were log transformed to satisfy the requirements of normality and homogeneity of variance necessary for parametric statistics. All statistical analyses were performed with Minitab software for Windows (Release 17, Minitab, State College, PA, USA).

Copyright and License information:  ©2016 Pradeep Ram, Colombet, Perriere, Thouvenot and Sime-Ngando.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A