ASTM D6300-03 - 10.7.2003
 
1. Scope

1.1 This practice covers the necessary preparations and planning for the conduct of interlaboratory programs for the development of estimates of precision (determinability, repeatability, and reproducibility) and of bias (absolute and relative), and further presents the standard phraseology for incorporating such information into standard test methods.

1.2 This practice is generally limited to homogeneous products with which serious sampling problems do not normally arise.

1.3 This practice may not be suitable for solid or semisolid products such as petroleum coke, industrial pitches, paraffin waxes, greases, or solid lubricants when the heterogeneous properties of the substances create sampling problems. In such instances, use Practice E 691 or consult a trained statistician.

1.4 A software program (ADJD6300) performs the necessary computations prescribed by this practice.

 
2. Referenced Documents

E691-23

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

ISO 4259

Petroleum Products-Determination and Application of Precision Data in Relation to Methods of Test Available from American National Standards Institute (ANSI), 25 W. 43rd St., 4th Floor, New York, NY 10036, http://www.ansi.org.

E177-26a

Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods (Includes all amendments and changes 5/14/2026).

E456-13a(2022)e1

Standard Terminology Relating to Quality and Statistics (Includes all amendments and changes 4/16/2024).

E29-22

Standard Practice for Using Significant Digits in Test Data to Determine Conformance with Specifications

D6708-24

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

D3606-26

Standard Test Method for Determination of Benzene and Toluene in Spark Ignition Fuels by Gas Chromatography

D3244-24

Standard Practice for Utilization of Test Data to Determine Conformance with Specifications

D7915-22(2026)

Standard Practice for Application of Generalized Extreme Studentized Deviate (GESD) Technique to Simultaneously Identify Multiple Outliers in a Data Set