ASTM D4854-95(2001)
Standard Guide for Estimating the Magnitude of Variability from Expected Sources in Sampling Plans

Standard No.

ASTM D4854-95(2001)

Release Date

1995

Published By

American Society for Testing and Materials (ASTM)

Status

Withdraw 2009-01

Latest

ASTM D4854-95(2001)

Scope

This guide is useful in estimating the variation due to lot sampling units, laboratory sampling units, and specimen selection and testing during the sampling and testing of a lot of material.

Estimates of variation from the several sources will make it possible to write sampling plans which balance the cost of sampling and testing with the desired precision of the plan.

This guide is useful in: (1) designing process controls and (2) developing sampling plans as parts of product specifications.

This guide can be used for designing new sampling plans or for improving old plans.

This guide is concerned with the process of sampling. This is unlike Practice D 2904 or Practice D 4467 which are concerned with the process of testing.

Studies based on this guide are applicable only to the material(s) on which the studies are made. If the conclusions are to be used for a specification, then separate studies should be made on three or more kinds of materials of the type on which the test method may be used and which produce test results covering the range of interest.

1.1 This guide serves as an aid to subcommittees in writing specifications and sampling procedures.

1.2 The guide explains how to estimate the contributions of the variability of lot sampling units, laboratory sampling units, and specimens to the variation of the test result of a sampling plan.

1.3 The guide explains how to combine the estimates of the variability from the three sources to obtain an estimate of the variability of the sampling plan results.

1.4 The guide is applicable to all sampling plans that produce variables data (Note 1). It is not applicable to plans that produce attribute data, since such plans do not take specimens in stages, but require that specimens be taken at random from all of the individual items in the lot. Note 0This guide is applicable to all sampling plans that produce variables data regardless of the kind of frequency distribution of these data, because no estimates are made of any probabilities.

1.5 This guide includes the following topics:

Topic Title	Section
	Number
Scope	1
Referenced Documents	2
Terminology	3
Significance and Use	4
Sampling Plans Producing Variables Data	5
Reducing Variability of Sampling Results	6
Keywords	7
Analysis of Data Using ANOVA	Annex A1
A Numerical Example	Annex A2

ASTM D4854-95(2001) Referenced Document

• ASTM D123 Standard Terminology Relating to Textiles*， 2023-09-14 Update
• ASTM D2904 Standard Practice for Interlaboratory Testing of a Textile Test Method that Produces Normally Distributed Data *， 1997-04-19 Update
• ASTM D4271 Standard Practice for Writing Statements on Sampling in Test Methods for Textiles
• ASTM D4467 Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data
• ASTM E456 Standard Terminology for Relating to Quality and Statistics*， 1996-04-19 Update

ASTM D4854-95(2001) history

• 1995 ASTM D4854-95(2001) Standard Guide for Estimating the Magnitude of Variability from Expected Sources in Sampling Plans
• 2001 ASTM D4854-95 Standard Guide for Estimating the Magnitude of Variability from Expected Sources in Sampling Plans