Standard Practice for Acceptance of Evidence Based on the Results of Probability Sampling

Importancia y uso:

4.1 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.

4.2 Section 5 gives extended definitions of the concepts basic to survey sampling and the user should verify that such concepts were indeed used and understood by those who conducted the survey. What was the frame? How large (exactly) was the quantity N? How was the parameter θ estimated and its standard error calculated? If replicate subsamples were not used, why not? Adequate answers should be given for all questions. There are many acceptable answers to the last question.

4.3 If the sample design was relatively simple, such as simple random or stratified, then fully valid estimates of sampling variance are easily available. If a more complex design was used then methods such as discussed in Ref (1)3 or in Guide E1402 may be acceptable. Use of replicate subsamples is the most straightforward way to estimate sampling variances when the survey design is complex.

4.4 Once the survey procedures that were used satisfy Section 5, see if any increase in sample size is needed. The calculations for making it objectively are described in Section 6.

4.5 Refer to Section 7 to guide in the interpretation of the uncertainty in the reported value of the parameter estimate, θ^, that is, the value of its standard error, se(θ^). The quantity se(θ^) should be reviewed to verify that the risks it entails are commensurate with the size of the sample.

4.6 When the audit subsample shows that there was reasonable conformity with prescribed procedures and when the known instances of departures from the survey plan can be shown to have no appreciable effect on the estimate, the value of θ^ is appropriate for use.

Subcomité:

E11.10

Referida por:

D0075_D0075M-19, F3260-18, D0979_D0979M-22, E0456-13AR22E01, D3665-12R17, D0075_D0075M-19, E0105-21, E2548-16, C0050_C0050M-13R19, D0075_D0075M-19, C0050_C0050M-13R19, C0823_C0823M-24, E2334-09R23, E2334-09R23, E1402-13R23, E1367-03R23

Volúmen:

14.01

Número ICS:

03.120.30 (Application of statistical methods)

Palabras clave:

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;