• ASTM E691-14

ASTM E691-14

Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method

ASTM International, 04/01/2014

Publisher: ASTM

File Format: PDF

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Published:01/04/2014

Pages:21

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1.1 This practice describes the techniques for planning, conducting, analyzing, and treating the results of an interlaboratory study (ILS) of a test method. The statistical techniques described in this practice provide adequate information for formulating the precision statement of a test method.

1.2 This practice does not concern itself with the development of test methods but rather with gathering the information needed for a test method precision statement after the development stage has been successfully completed. The data obtained in the interlaboratory study may indicate, however, that further effort is needed to improve the test method.

1.3 Since the primary purpose of this practice is the development of the information needed for a precision statement, the experimental design in this practice may not be optimum for evaluating materials, apparatus, or individual laboratories.

1.4 Field of Application-This practice is concerned exclusively with test methods which yield a single numerical figure as the test result, although the single figure may be the outcome of a calculation from a set of measurements.

1.4.1 This practice does not cover methods in which the measurement is a categorization; however, for many practical purposes categorical outcomes can be scored, such as zero-one scoring for binary measurements or as integers, ranks for example, for well-ordered categories and then the test result can be defined as an average, or other summary statistic, of several individual scores.

1.5 The information in this practice is arranged as follows:

 

Section

Scope

1

Referenced Documents

2

Terminology

3

Summary of Practice

4

Significance and Use

5

 

 

Planning the Interlaboratory Study (ILS)

Section

 ILS Membership

6

 Basic Design

7

 Test Method

8

 Laboratories

9

 Materials

10

 Number of Test Results per Material

11

 Protocol

12

 

 

Conducting the Testing Phase of the ILS

Section

 Pilot Run

13

 Full Scale Run

14

 

 

Calculation and Display of Statistics

Section

 Calculation of the Statistics

15

 Tabular and Graphical Display of Statistics

16

 

 

Data Consistency

Section

 Flagging Inconsistent Results

17

 Investigation

18

 Task Group Actions

19

 Glucose ILS Consistency

20

 

 

Precision Statement Information

Section

 Repeatability and Reproducibility

21

 

 

Appendixes

Appendix

 Theoretical Considerations

X1

 Pentosans in Pulp Example

X2

 

 

References

 

 

 

Tables and Figures

 

 

Table

 Glucose in Serum Example

1-4, 6-8

 Critical Values of Consistency Statistics,

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