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dc.contributorDredging Operations Technical Support Program (U.S.)-
dc.contributor.authorClarke, Joan U.-
dc.contributor.authorBrandon, Dennis L.-
dc.descriptionMiscellaneous Paper-
dc.descriptionAbstract: Dredged sediment evaluations often require statistical analysis of chemical or biological test results. However, the resulting data are frequently problematic for standard statistical procedures because of improper experimental design, insufficient replication, failure to meet statistical test assumptions, outliers, and missing or below detection limit observations. Such nonideal data can seriously affect the error rates of statistical tests. This in turn increases the likelihood of drawing false inferences concerning the potential of a dredged sediment for adverse biological effects. This report explores the impact of nonideal data on the performance of statistical tests recommended for dredged sediment evaluations. Procedures are discussed for basic experimental design, testing assumptions and outliers, assessing statistical power, analyzing less-than detection limit data, and interpreting statistical test results.-
dc.publisherEnvironmental Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created from scans of the Print Resource-
dc.subjectDredged sediment evaluation-
dc.subjectDredged material-
dc.subjectDredging spoil-
dc.subjectEquality of variances assumption-
dc.subjectExperimental design-
dc.subjectLess-than detection limit data-
dc.subjectNonideal data-
dc.subjectNormality assumption-
dc.subjectStatistical analysis-
dc.subjectStatistical error rates-
dc.subjectEnvironmental management-
dc.titleApplications guide for statistical analyses in dredged sediment evaluations-
Appears in Collections:Miscellaneous Paper

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