ASTM-D6299 2009

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D6299-09 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance

Published By	Publication Date	Number of Pages
ASTM	2009	27

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Categories: 03.120.30 - Application of statistical methods, ASTM

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Description

1.1 This practice covers information for the design and operation of a program to monitor and control ongoing stability and precision and bias performance of selected analytical measurement systems using a collection of generally accepted statistical quality control (SQC) procedures and tools.

Note 1A complete list of criteria for selecting measurement systems to which this practice should be applied and for determining the frequency at which it should be applied is beyond the scope of this practice. However, some factors to be considered include ( 1 ) frequency of use of the analytical measurement system, ( 2 ) criticality of the parameter being measured, ( 3 ) system stability and precision performance based on historical data, ( 4 ) business economics, and ( 5 ) regulatory, contractual, or test method requirements.

1.2 This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical scale.

1.3 This practice is applicable to laboratory test methods.

1.4 This practice is applicable to validated process stream analyzers.

1.5 This practice is applicable to monitoring the differences between two analytical measurement systems that purport to measure the same property provided that both systems have been assessed in accordance with the statistical methodology in Practice D6708 and the appropriate bias applied.

Note 2For validation of univariate process stream analyzers, see also Practice D3764 .

Note 3One or both of the analytical systems in 1.5 can be laboratory test methods or validated process stream analyzers.

1.6 This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control.

Note 4For non-Gaussian processes, transformations of test results may permit proper application of these tools. Consult a statistician for further guidance and information.

PDF Catalog

PDF Pages	PDF Title
1	Scope Referenced Documents Terminology
3	Summary of Practice Significance and Use Reference Materials
4	Quality Assurance (QA) Program for Individual Measurement Systems
5	Procedure for Pretreatment, Assessment, and Interpretation of Test Results
7	Evaluation of System Performance in Terms of Precision and Bias
8	Validation of System Performance Estimates Using VA Samples
9	A1. STATISTICAL QUALITY CONTROL TOOLS A1.1 Purpose of this Annex A1.3 The Run Chart A1.4 Normality, Data Independence, and Resolution Adequacy Checks
10	A1.5 The Control Chart
12	A1.6 t-Test
13	A1.7 Approximate Chi-Square Test A1.8 Approximate F-Test
14	A1.9 Q-Procedure
15	TABLE A1.1
16	TABLE A1.2 TABLE A1.3
17	TABLE A1.4 TABLE A1.5 TABLE A1.6 TABLE A1.7 TABLE A1.8
18	TABLE A1.9 TABLE A1.10 TABLE A1.11
19	TABLE A1.12 TABLE A1.13
20	FIG. A1.1 FIG. A1.2 FIG. A1.3
21	FIG. A1.4
22	FIG. A1.4
23	FIG. A1.6
24	FIG. A1.6
25	FIG. A1.8 FIG. A1.9 FIG. A1.10 FIG. A1.11 FIG. A1.12 FIG. A1.13
26	FIG. A1.14 FIG. A1.15 FIG. A1.16
27	REFERENCES FIG. A1.17

Additional information

Standard Title	D6299-09 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
Published Code	ASTM
Publication Date	2009
Pages Count	27
ICS Codes	03.120.30 - Application of statistical methods

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ASTM-D6299 2009

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