ASTM D6617 - 17

    Standard Practice for Laboratory Bias Detection Using Single Test Result from Standard Material

    Active Standard ASTM D6617 | Developed by Subcommittee: D02.94

    Book of Standards Volume: 05.03


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    Significance and Use

    4.1 Laboratories performing petroleum test methods can use this practice to set an acceptable tolerance zone for infrequent testing of CS or CCS material, based on ε, and a desired Type I error, for the purpose of ascertaining if the test method is being performed without bias.

    4.2 This practice can be used to estimate the power of correctly detecting bias of different magnitudes, given the acceptable tolerance zone set in 4.1, and hence, gain insight into the limitation of the true bias detection capability associated with this acceptable tolerance zone. With this insight, trade-offs can be made between desired Type I error versus desired bias detection capability to suit specific business needs.

    4.3 The CS testing activities described in this practice are intended to augment and not replace the regular statistical monitoring of test method performance as described in Practice D6299.

    1. Scope

    1.1 This practice covers a methodology for establishing an acceptable tolerance zone for the difference between the result obtained from a single implementation of a test method on a Check Standard (CS) and its ARV, based on user-specified Type I error, the user-established test method precision, the standard error of the ARV, and a presumed hypothesis that the laboratory is performing the test method without bias.

    Note 1: Throughout this practice, the term “user” refers to the user of this practice, and the term “laboratory” (see 1.1) refers to the organization or entity that is performing the test method.

    1.2 For the tolerance zone established in 1.1, a methodology is presented to estimate the probability that the single test result will fall outside the zone, in the event that the presumed hypothesis is not true and there is a bias (positive or negative) of a user-specified magnitude that is deemed to be of practical concern.

    1.3 This practice is intended for ASTM Committee D02 test methods that produce results on a continuous numerical scale.

    1.4 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 2: While this practice does not cover scenarios in which multiple results are obtained on the same CS under site precision or repeatability conditions, the statistical concepts presented are applicable. Users wishing to apply these concepts for the scenarios described are advised to consult a statistician and to reference the CS methodology described in Practice D6299.

    1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.


    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

    D2699 Test Method for Research Octane Number of Spark-Ignition Engine Fuel

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

    E178 Practice for Dealing With Outlying Observations


    ICS Code

    ICS Number Code 19.020 (Test conditions and procedures in general)

    UNSPSC Code

    UNSPSC Code


    Referencing This Standard
    Link Here
    Link to Active (This link will always route to the current Active version of the standard.)

    DOI: 10.1520/D6617-17

    Citation Format

    ASTM D6617-17, Standard Practice for Laboratory Bias Detection Using Single Test Result from Standard Material, ASTM International, West Conshohocken, PA, 2017, www.astm.org

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