(812) 309-78-59
(495) 223-46-76
ASTM E141-10
Standard Practice for Acceptance of Evidence Based on the Results of Probability Sampling
6 стр.
Заменен
Электронный (pdf)Печатное издание
96.72 $ (включая НДС 20%)
Разработчик:
Зарубежные/ASTM
ICS:
03.120.30 Application of statistical methods / Применение статистических методов
Сборник (ASTM):
14.05 Statistical Methods; Hazard Potential of Chemicals; Thermal Measurements; Manufacture of Pharmaceutical and Biopharmaceutical Products / Статистические методы; Потенциальная опасность химических веществ; Измерения теплопроводности; Производство фармацевтических изделий
Тематика:
Quality Control
Описание
Значение и использование

This practice is designed to permit users of sample survey data to judge the trustworthiness of results from such surveys. Practice E105 provides a statement of principles for guidance of ASTM technical committees and others in the preparation of a sampling plan for a specific material. Guide E1402 describes the principal types of sampling designs. Practice E122 aids in deciding on the required sample size.

Область применения

1.1 This practice presents rules for accepting or rejecting evidence based on a sample. Statistical evidence for this practice is in the form of an estimate of a proportion, an average, a total, or other numerical characteristic of a finite population or lot. It is an estimate of the result which would have been obtained by investigating the entire lot or population under the same rules and with the same care as was used for the sample.

1.2 One purpose of this practice is to describe straightforward sample selection and data calculation procedures so that courts, commissions, etc. will be able to verify whether such procedures have been applied. The methods may not give least uncertainty at least cost, they should however furnish a reasonable estimate with calculable uncertainty.

1.3 This practice is primarily intended for one-of-a-kind studies. Repetitive surveys allow estimates of sampling uncertainties to be pooled; the emphasis of this practice is on estimation of sampling uncertainty from the sample itself. The parameter of interest for this practice is effectively a constant. Thus, the principal inference is a simple point estimate to be used as if it were the unknown constant, rather than, for example, a forecast or prediction interval or distribution devised to match a random quantity of interest.

1.4 A system of units is not specified in this standard.

1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

Ключевые слова:
audit subsample; confidence limits; estimate; equal complete coverage; finite population correction; hypergeometric distribution; interpenetrating subsamples; population parameter; probability sampling; replicate subsamples; sample size; sampling distribution; sampling frame; sampling unit; skewness; standard error; Statistical methods; Acceptance criteria/testing; Evidence; Probability sampling; Sampling; Sampling forensic analysis/applications