• ASTM E 2282 : 2009

    Superseded A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

    Standard Guide for Defining the Test Result of a Test Method

    Available format(s):  Hardcopy, PDF

    Superseded date:  11-11-2014

    Language(s):  English

    Published date:  15-05-2009

    Publisher:  American Society for Testing and Materials

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    Scope - (Show below) - (Hide below)

    1.1 The purpose of this guide is to provide guidelines for identifying the elements that comprise the test result of a test method and to illustrate how these elements combine into the test result.

    General Product Information - (Show below) - (Hide below)

    Committee E 11
    Document Type Guide
    Publisher American Society for Testing and Materials
    Status Superseded
    Superseded By
    Supersedes

    Standards Referenced By This Book - (Show below) - (Hide below)

    ASTM E 177 : 2014 Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods
    ASTM E 1169 : 2018 Standard Practice for Conducting Ruggedness Tests
    ASTM C 1720 : 2017 : EDT 1 Standard Test Method for Determining Liquidus Temperature of Waste Glasses and Simulated Waste Glasses
    ASTM E 691 : 2018 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method
    ASTM E 29 : 2013 : R2019 Standard Practice for Using Significant Digits in Test Data to Determine Conformance with Specifications
    ASTM C 168 : 2019 Standard Terminology Relating to Thermal Insulation
    ASTM E 2709 : 2019 Standard Practice for Demonstrating Capability to Comply with an Acceptance Procedure
    ASTM F 3263 : 2017 Standard Guide for Packaging Test Method Validation
    ASTM E 2935 : 2017 Standard Practice for Conducting Equivalence Testing in Laboratory Applications
    ASTM E 2586 : 2019 Standard Practice for Calculating and Using Basic Statistics
    ASTM D 4821 : 2016 Standard Guide for Carbon Black—Validation of Test Method Precision and Bias
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