GSO ISO 13909-8:2013
ISO 13909-8:2001
Gulf Standard
Current Edition
·
Approved on
31 December 2013
Hard coal and coke -- Mechanical sampling -- Part 8: Methods of testing for bias
GSO ISO 13909-8:2013 Files
English
31 Pages
Current Edition
Reference Language
27.27 OMR
GSO ISO 13909-8:2013 Scope
This part of ISO 13909 sets out principles and procedures for testing the bias of test samples of hard coals or cokes, taken in accordance with other parts of ISO 13909. The use of univariate statistical methods only is addressed.
The user is cautioned that the chance of falsely concluding that there is a bias, when no bias exists in any one of several variables measured on the same set of samples, is substantially greater than for a single variable. While several variables may be measured, the single variable on which the outcome of the test will be governed shall be designated in advance.
NOTE In the text the term 'fuel' is used where both coal and coke would be applicable in the context and either 'coal' or 'coke' where only one is applicable.
Best Sellers From Mechanical Sector
OS GSO 42:2015
GSO 42:2015
Omani Standard
MOTOR VEHICLES - GENERAL REQUIREMENTS
GSO 42:2015
Gulf Technical Regulation
MOTOR VEHICLES - GENERAL REQUIREMENTS
GSO 159:1993
Gulf Technical Regulation
MOTOR VEHICLES –
DIMENSIONS AND WEIGHTS
OS GSO 159:1993
GSO 159:1993
Omani Standard
MOTOR VEHICLES –
DIMENSIONS AND WEIGHTS
Recently Published from Mechanical Sector
GSO EN 13445-6:2024
EN 13445-6:2021
Gulf Standard
Unfired pressure vessels - Part 6: Requirements for the design and fabrication of pressure vessels and pressure parts constructed from spheroidal graphite cast iron
GSO ISO 11154:2024
ISO 11154:2023
Gulf Standard
Road vehicles — Roof load carriers
GSO ISO 10468:2024
ISO 10468:2023
Gulf Standard
Glass-reinforced thermosetting plastics (GRP) pipes
— Determination of the ring creep properties under wet or dry conditions
GSO ISO 10300-1:2024
ISO 10300-1:2023
Gulf Standard
Calculation of load capacity of bevel gears — Part 1: Introduction and general influence factors