1030 DATA QUALITY

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Abstract: 1030 A. Introduction

An analytical laboratory’s role is to produce measurement- based data that is technically valid, legally defensible, and of known quality. All measurements contain error, which may be systematic (unvarying magnitude) or random (varying magnitude and equal probability of being positive or negative). A method’s analytical performance is defined by its unique combination of systematic and random errors.1Quality assurance is a program designed to make the measurement process as reliable as possible. Quality control (QC) procedures are activities designed to identify and determine sources of error.

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The content presented here represents the most current version of this section, which was printed in the 24th edition of Standard Methods for the Examination of Water and Wastewater.

CITATION

Standard Methods Committee of the American Public Health Association, American Water Works Association, and Water Environment Federation. 1030 data quality In: Standard Methods For the Examination of Water and Wastewater. Lipps WC, Baxter TE, Braun-Howland E, editors. Washington DC: APHA Press.

DOI: 10.2105/SMWW.2882.006

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