Standard Guide for Representative Sampling for Management of Waste and Contaminated Media

Importancia y uso:

4.1 This guide defines the meaning of a representative sample, as well as the attributes the sample(s) needs to have in order to provide a valid inference from the sample data to the population.

4.2 This guide also provides a process to identify the sources of error (both systematic and random) so that an effort can be made to control or minimize these errors. These sources include sampling error, measurement error, and statistical bias.

4.3 When the objective is limited to the taking of a representative (physical) sample or a representative set of (physical) samples, only potential sampling errors need to be considered. When the objective is to make an inference from the sample data to the population, additional measurement error and statistical bias need to be considered.

4.4 This guide does not apply to the cases where the taking of a nonrepresentative sample(s) is prescribed by the study objective. In that case, sampling approaches such as judgment sampling or biased sampling can be taken. These approaches are not within the scope of this guide.

4.5 Following this guide does not guarantee that representative samples will be obtained. But failure to follow this guide will likely result in obtaining sample data that are either biased or imprecise, or both. Following this guide should increase the level of confidence in making the inference from the sample data to the population.

4.6 This guide can be used in conjunction with the DQO process (see Practice D5792).

4.7 This guide is intended for those who manage, design, and implement sampling and analytical plans for waste management and contaminated media.

Subcomité:

D34.01.01

Referida por:

D7910-14R21, D8068-19, D5792-10R23, D5681-23, E0887-21, D7788-14R23, E0790-21, D6051-15R23, D5680-14R22, E0829-23, D6759-24, D6956-17, D5633-21, D7789-21, D7353-21, D6907-22, D6235-18, E3355-23, D6311-98R22

Volúmen:

11.04

Número ICS:

13.020.10 (Environmental management)

Palabras clave:

bias; contaminated media; precision; representative; sample; waste; waste management;