Environmental and Water Quality Operational Studies. Statistical Methods for Reservoir Water Quality Investigations.

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA171046

Entities

People

  • Robert F. Gaugush

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Chemistry
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Drainage Basins
  • Information Science
  • Knowledge Management
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys

Readers

  • Business Analytics
  • Environmental Engineering
  • Regression Analysis.