Is ANOVA powerful enough for analyzing replicated pond expriments?

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12348/3180

dc.creator	Van Dam, A.A.
dc.date.accessioned	2019-04-11T01:57:53Z
dc.date.available	2019-04-11T01:57:53Z
dc.date.issued	1990
dc.identifier	aq_3522.pdf
dc.identifier.citation	Aquabyte, 3 (3): 3-5
dc.identifier.uri	https://hdl.handle.net/20.500.12348/3180
dc.description.abstract	Aquaculture pond experiments, like agricultural crop trials, are often designed according to the statistical rules of replication and randomization: several treatments are applied to a number of experimental units (in this case: ponds) after which a certain characteristic (e.g., yield) is measured in every pond. Other factors with a possible effect on the measured characteristic are held at the same constant level as much as possible so as not to disturb treatment effects. Analysis of variance (ANOVA) is used to compare the treatments.
dc.format	application/pdf
dc.language	En
dc.publisher	ICLARM
dc.rights	CC BY 4.0
dc.source	Aquabyte
dc.title	Is ANOVA powerful enough for analyzing replicated pond expriments?
dc.type	Journal Article
dcterms.bibliographicCitation	Van Dam, A.A. (1990). Is ANOVA powerful enough for analyzing replicated pond expriments?. Aquabyte, 3 (3): 3-5
cg.identifier.worldfish	3522
cg.subject.agrovoc	fish ponds
cg.subject.agrovoc	statistical methods
cg.subject.worldfish	statistical analysis
cg.contributor.affiliation	ICLARM
cg.identifier.status	Open access
cg.description.theme	Sustainable aquaculture
cg.identifier.url	http://www.worldfishcenter.org/Naga/aq_3522.pdf