Determining Variability, Confidence, and Statistical Power in Aquaculture Experiments

dc.contributor.authorAraujo, Pedro
dc.date.accessioned2012-01-19T20:22:48Z
dc.date.available2012-01-19T20:22:48Z
dc.date.issued2008
dc.description.abstractThis article deals with the lack of appreciation among marine biologists of basic statistics in aqua- culture experiments. Topics include calculation of sources of variation, the importance of true replication rather than pseudo-replication to test for treatment effects, estimation and visualization of the confidence of an experimental design used in feeding trials, and calculation of its statisti- cal power. An arbitrary example is used to illustrate how the described theory can be applied in practice. The approach demonstrates that nutritional experiments with a reduced number of tanks can be a valid strategy as long as certain experimental considerations are taken into account. In addition, it shows that information on the relative sizes of ‘between’ and ‘within’ sources of vari- ation can be used to design more efficient experiments by minimizing the effects of the stronger sources of variance. The approaches used in this article are applicable to large and small-scale experiments.
dc.format.extent20 pages
dc.identifier.citationAraujo, P. (2008). Determining Variability, Confidence, and Statistical Power in Aquaculture Experiments. The Israeli Journal of Aquaculture - Bamidgeh, 60(2), 134-153.
dc.identifier.issn0792-156X
dc.identifier.urihttp://hdl.handle.net/10524/19246
dc.publisherIsraeli Journal of Aquaculture - BAMIGDEH
dc.relation.ispartofseriesThe Israeli Journal of Aquaculture - Bamidgeh
dc.subjectsources of variation, error decomposition, experimental design, confidence of the design, statistical power
dc.subject.lcshFish culture--Israel--Periodicals.
dc.subject.lcshFish culture--Periodicals.
dc.subject.lcshAquaculture--Israel--Periodicals.
dc.subject.lcshAquaculture--Periodicals.
dc.titleDetermining Variability, Confidence, and Statistical Power in Aquaculture Experiments

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