Published by the American Society for Testing and Materials (ASTM), the ASTM E105-16 standard mainly includes a statement of principles for the guidance of ASTM technical committees and others when drafting a sampling plan for a particular material. The full name of this standard is as follows: ASTM E105-16 Standard practice for probability sampling of materials.
The aim of the sample could be:
A probability sampling scheme should have an objective procedure for selecting the sample using random numbers and a precise formula for any prediction errors.
The application described in the ASTM E105-16 standard also includes minimum standards for probability sampling plan, sample selection, sampling from bulk materials, and sampling planning.
Regardless of the purpose of the sample, adherence to the principles of probability sampling allows for an objective and valid calculation of uncertainties or rational trend risks, such as bias of estimates. It is assumed here that sampling operations are also carried out properly. For example, it is assumed that the required random numbers are produced correctly, the units to be sampled are correctly determined, positioned, and measurements are made with measurement error at a level that does not exceed the required objectives.
Probability sampling in statistics means that all elements of a categoryrefers to the method of sampling that is predetermined and has an equal chance to be part of the sample. This method is based on the principle of randomization, which ensures that every element in the category has equal opportunity. In this case, the possibility of prejudice decreases or even disappears. Statistical inferences are made by researchers using this method. Briefly, the result obtained is generalized from the studied sample to the target category.
With the experience gained over many years, our organization also provides standard application services for the probability sampling of ASTM E105-16 materials, within the framework of laboratory services of materials with a trained and expert staff, to enterprises that demand.
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