UNIFORMITY OF RESULTS OF MULTIPLE MEASUREMENT SERIES DURING PREPARING A CONTROL SAMPLE FOR QUALIFICATION TESTS

  • Нодари Абелашвили Профессор, Грузинский Технический Университет, Тбилиси, Грузия
  • Ника Абелашвили Академический Доктор, “ILF consulting engineers”, Тбилиси, Грузия
Keywords: Root mean square deviation between samples, Standard deviation of proficiency testing, Standard uncertainty, assigned value, Interinstance standard deviation, Arithmetic mean of samples

Abstract

The work examines the methodology for assessing the homogeneity of the control sample of interlaboratory qualification tests, which is the most important characteristic of determining its status. The criterion for assessing the homogeneity between the characterizing values of the samples is the root mean square deviation and standard deviation of the proficiency test of the control sample with the standard uncertainty of the assigned value, which is a requirement of the ISO 13528 standard. Ignoring this requirement may provoke a false assessment of the participated laboratories taking corrective action.

References

ISO 13528:2015. Statistical methods for use in proficiency testing by interlaboratory comparison. p.97. Retrieved from https://www.iso.org/standard/56125.html

N. Abelashvili. Evaluation of the standard deviation, reproducibility and repeatability of the qualification test control. AUTOMATED CONTROL SYSTEMS 2021 # 1 (32). Publishing House "Technical University", 2021, art. (In Georgian); Retrieved from https://gtu.ge/Learning/ElBooks/ims_books.php

ASTM C 136-14. Standard Test Method for Sieve Analysis of Fine and Coarse. Active Standard ASTM C136 / C136M | Developed by Subcommittee: C09.20. P.5.; Retrieved from https://www.astm.org/Standards/C136

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Published
2021-03-15
Citations
How to Cite
Нодари Абелашвили, & Ника Абелашвили. (2021). UNIFORMITY OF RESULTS OF MULTIPLE MEASUREMENT SERIES DURING PREPARING A CONTROL SAMPLE FOR QUALIFICATION TESTS. World Science, (3(64). https://doi.org/10.31435/rsglobal_ws/30032021/7513
Section
Engineering Sciences