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dc.contributor.author Araujo, Pedro en_US
dc.date.accessioned 2012-01-19T20:22:48Z en_US
dc.date.available 2012-01-19T20:22:48Z en_US
dc.date.issued 2008 en_US
dc.identifier.citation Araujo, P. (2008). Determining Variability, Confidence, and Statistical Power in Aquaculture Experiments. The Israeli Journal of Aquaculture - Bamidgeh, 60(2), 134-153. en_US
dc.identifier.issn 0792-156X en_US
dc.identifier.uri http://hdl.handle.net/10524/19246 en_US
dc.description.abstract This 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. en_US
dc.format.extent 20 pages en_US
dc.publisher Israeli Journal of Aquaculture - BAMIGDEH en_US
dc.relation.ispartofseries The Israeli Journal of Aquaculture - Bamidgeh en_US
dc.subject sources of variation, error decomposition, experimental design, confidence of the design, statistical power en_US
dc.subject.lcsh Fish culture--Israel--Periodicals. en_US
dc.subject.lcsh Fish culture--Periodicals. en_US
dc.subject.lcsh Aquaculture--Israel--Periodicals. en_US
dc.subject.lcsh Aquaculture--Periodicals. en_US
dc.title Determining Variability, Confidence, and Statistical Power in Aquaculture Experiments en_US

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