Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data (Withdrawn 2010)

SCOPE
1.1 This practice covers design and analysis of interlaboratory testing of a test procedure in the case where the resulting test data are discrete variates or are continuous variates not normally distributed. This practice applies to all such interlaboratory tests used to validate a test procedure.
1.2 Analysis of interlaboratory test results permits validation that the process of using the test method is in statistical control and provides the information required to write statements on precision and bias as directed in Practice D2906. It also gives the information for determining the number of specimens per unit in the laboratory sample as required in Practice D2905.
1.3 Precision statements for non-normally distributed data can be written as a function of the level of the property of interest without an interlaboratory test if the underlying distribution is known and statistical control can be assumed.
1.4 If the underlying distribution is unknown, the precision of the test method can only be approximated. There are no generally accepted methods of making approximations of this sort.
1.5 If statistical control cannot be assumed, then a meaningful precision statement cannot be written and the test method should not be used.
1.6 This practice is intended for use with data from test methods that cannot be properly modeled by a normal distribution. See Practices D2904 and E691 for applications that can be modeled by a normal distribution.
1.7 This practice includes the following sections: SectionsScope1Referenced Documents 2Terminology 3Significance and Uses 4General Considerations 5Basic Statistical Design 6Pilot-Scale Interlaboratory Test 7Full-Scale Interlaboratory Test 8Missing Data 9Outlying Observations 10Interpretation of Data 11Plotting Results 12Keywords 13Pilot-Scale and Full-Scale Interlaboratory Tests Annex A1Calculation of Chi-Square Annex A2
1.8 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of whoever uses this standard to consult and establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.
WITHDRAWN RATIONALE
This practice covers design and analysis of interlaboratory testing of a test procedure in the case where the resulting test data are discrete variates or are continuous variates not normally distributed. This practice applies to all such interlaboratory tests used to validate a test procedure.
This practice is being withdrawn because D13 no longer has the expertise to maintain and statistical standards are being maintained by Committee E11.  
Formerly under the jurisdiction of Committee D13 on Textiles and the direct responsibility of Subcommittee D13.93 on Statistics, this practice was withdrawn in February 2010 with no replacement.

General Information

Status
Withdrawn
Publication Date
31-Dec-2000
Withdrawal Date
31-Jan-2010
Technical Committee
Current Stage
Ref Project

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ASTM D4467-94(2001) - Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data (Withdrawn 2010)
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Standards Content (Sample)

NOTICE: This standard has either been superseded and replaced by a new version or withdrawn.
Contact ASTM International (www.astm.org) for the latest information.
Designation: D4467 – 94 (Reapproved 2001)
Standard Practice for
Interlaboratory Testing of a Textile Test Method That
1
Produces Non-Normally Distributed Data
This standard is issued under the fixed designation D4467; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision.Anumber in parentheses indicates the year of last reapproval.A
superscript epsilon (´) indicates an editorial change since the last revision or reapproval.
1. Scope
Outlying Observations 10
Interpretation of Data 11
1.1 This practice covers design and analysis of interlabora-
Plotting Results 12
tory testing of a test procedure in the case where the resulting
Keywords 13
Pilot-Scale and Full-Scale Interlaboratory Tests Annex A1
test data are discrete variates or are continuous variates not
Calculation of Chi-Square Annex A2
normallydistributed.Thispracticeappliestoallsuchinterlabo-
ratory tests used to validate a test procedure. 1.8 This standard does not purport to address all of the
safety concerns, if any, associated with its use. It is the
1.2 Analysis of interlaboratory test results permits valida-
responsibility of whoever uses this standard to consult and
tion that the process of using the test method is in statistical
establish appropriate safety and health practices and deter-
control and provides the information required to write state-
mine the applicability of regulatory limitations prior to use.
ments on precision and bias as directed in Practice D2906.It
also gives the information for determining the number of
2. Referenced Documents
specimens per unit in the laboratory sample as required in
2
2.1 ASTM Standards:
Practice D2905.
D123 Terminology Relating to Textiles
1.3 Precision statements for non-normally distributed data
D2904 Practice for Interlaboratory Testing of a Textile Test
can be written as a function of the level of the property of
Method that Produces Normally Distributed Data
interest without an interlaboratory test if the underlying distri-
D2905 PracticeforStatementsonNumberofSpecimensfor
bution is known and statistical control can be assumed.
3
Textiles
1.4 If the underlying distribution is unknown, the precision
D2906 Practice for Statements on Precision and Bias for
of the test method can only be approximated. There are no
3
Textiles
generally accepted methods of making approximations of this
D4646 Test Method for 24-h Batch-Type Measurement of
sort.
Contaminant Sorption by Soils and Sediments
1.5 If statistical control cannot be assumed, then a mean-
3
D4853 Guide for Reducing Test Variability
ingful precision statement cannot be written and the test
E456 Terminology Relating to Quality and Statistics
method should not be used.
E691 Practice for Conducting an Interlaboratory Study to
1.6 This practice is intended for use with data from test
Determine the Precision of a Test Method
methods that cannot be properly modeled by a normal distri-
E1169 Practice for Conducting Ruggedness Tests
bution.SeePracticesD2904andE691forapplicationsthatcan
be modeled by a normal distribution.
3. Terminology
1.7 This practice includes the following sections:
3.1 Definitions:
Sections
Scope 1 3.1.1 test method, n—a definitive procedure for the identi-
Referenced Documents 2
fication,measurement,andevaluationofoneormorequalities,
Terminology 3
characteristics, or properties of a material, product, system, or
Significance and Uses 4
General Considerations 5 service that produces a test result.
Basic Statistical Design 6
3.1.2 For definitions of textile and statistical terms used in
Pilot-Scale Interlaboratory Test 7
this practice and discussions of their use, refer to Terminology
Full-Scale Interlaboratory Test 8
Missing Data 9 D123, and Terminology E456.
2
For referenced ASTM standards, visit the ASTM website, www.astm.org, or
1
ThispracticeisunderthejurisdictionofASTMCommitteeD13onTextilesand contact ASTM Customer Service at service@astm.org. For Annual Book of ASTM
is the direct responsibility of Subcommittee D13.93 on Statistics. Standards volume information, refer to the standard’s Document Summary page on
Current edition approved June 15, 1994. Published August 1994. Originally the ASTM website.
3
published as D4467–85. Last previous edition D4467–85. DOI: 10.1520/D4467- Withdrawn. The last approved version of this historical standard is referenced
94R01. on www.astm.org.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.
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D4467 – 94 (2001)
3.2 Definitions of Terms Specific to This Standard: be run without a previous pilot-scale test but with the under-
3.2.1 assignable cause—afactorwhichcontributestovaria- standing that unsatisfactory results would require a
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