ASTM D6299 - 13

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

    Active Standard ASTM D6299 | Developed by Subcommittee: D02.94

    Book of Standards Volume: 05.03


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    Significance and Use

    5.1 This practice can be used to continuously demonstrate the proficiency of analytical measurement systems that are used for establishing and ensuring the quality of petroleum and petroleum products.

    5.2 Data accrued, using the techniques included in this practice, provide the ability to monitor analytical measurement system precision and bias.

    5.3 These data are useful for updating test methods as well as for indicating areas of potential measurement system improvement.

    1. Scope

    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.


    2. Referenced Documents (purchase separately) The documents listed below are referenced within the subject standard but are not provided as part of the standard.

    ASTM Standards

    D3764 Practice for Validation of the Performance of Process Stream Analyzer Systems

    D5191 Test Method for Vapor Pressure of Petroleum Products (Mini Method)

    D6708 Practice for Statistical Assessment and Improvement of Expected Agreement Between Two Test Methods that Purport to Measure the Same Property of a Material

    D6792 Practice for Quality System in Petroleum Products and Lubricants Testing Laboratories

    D7372 Guide for Analysis and Interpretation of Proficiency Test Program Results

    E177 Practice for Use of the Terms Precision and Bias in ASTM Test Methods

    E178 Practice for Dealing With Outlying Observations

    E456 Terminology Relating to Quality and Statistics

    E691 Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method


    ICS Code

    ICS Number Code 03.120.30 (Application of statistical methods)

    UNSPSC Code

    UNSPSC Code 81111819(Quality assurance services)


    Referencing This Standard

    DOI: 10.1520/D6299

    ASTM International is a member of CrossRef.

    Citation Format

    ASTM D6299-13, Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance, ASTM International, West Conshohocken, PA, 2013, www.astm.org

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