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Title: Statistical methods for reservoir water quality investigations
Authors: Environmental and Water Quality Operational Studies (U.S.)
Gaugush, Robert F.
Keywords: Reservoirs
Data analysis
Descriptive statistics
Water quality monitoring
Analysis of variance
Multivariate statistics
Nonparametric statistics
Water quality management
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Description: Instruction Report
Abstract: This report presents an introduction to the statistical analysis of water quality data. Techniques from the use of simple data displays to the application of nonparametric and multivariate statistics are presented. Methods of data display are presented as a means of becoming familiar with the data and presenting those data. Basic descriptive statistics are discussed as a means to summarize the typically large data sets that result from a water quality monitoring program. The application of inferential statistics to make sound conclusions about differences, relationships, or trends within the data is also discussed. All of these methods are presented with concise and clear examples using actual water quality data. The report also provides an introduction to the statistical concerns involved in sample design that are necessary for the proper execution of a water quality monitoring program. NOTE: This file is large. Allow your browser several minutes to download the file.
Rights: Approved for public release; distribution is unlimited.
Appears in Collections:Instruction Report

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