Application of binomial distributions to quality assurance of quantitative chemical analyses
作者:
LindaC. Friedman,
WesleyL. Bradford,
DaleB. Peart,
期刊:
Journal of Environmental Science and Health . Part A: Environmental Science and Engineering
(Taylor Available online 1983)
卷期:
Volume 18,
issue 4
页码: 561-570
ISSN:0360-1226
年代: 1983
DOI:10.1080/10934528309375123
出版商: Taylor & Francis Group
关键词: Binomial Distribution;Quality Assurance;Reference Samples;Chemical Analysis
数据来源: Taylor
摘要:
Data from the analyses of reference samples often must be used to determine the quality of the data being produced by laboratories that routinely make chemical analyses of environmental samples. When a laboratory analyzes many reference samples, binomial distributions can be used in evaluating laboratory performance. The number of standard deviations (that is, the difference between the reported value and most probable value divided by the theoretical standard deviation) is calculated for each analysis. Individual values exceeding two standard deviations are considered unacceptable, and a binomial distribution is used to determine if overall performance is satisfactory or unsatisfactory. Similarly, analytical bias is examined by applying a binomial distribution to the number of positive and negative standard deviations.
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