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Title: Applications guide for statistical analyses in dredged sediment evaluations
Authors: Dredging Operations Technical Support Program (U.S.)
Clarke, Joan U.
Brandon, Dennis L.
Keywords: Dredged sediment evaluation
Dredged material
Dredging spoil
Equality of variances assumption
Experimental design
Less-than detection limit data
Nonideal data
Normality assumption
Statistical analysis
Statistical error rates
Environmental management
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Description: Miscellaneous Paper
Abstract: 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.
Rights: Approved for public release; distribution is unlimited.
Appears in Collections:Miscellaneous Paper

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