Cart (0)
  • No items in cart.
Total
$0
There is a technical issue about last added item. You can click "Report to us" button to let us know and we resolve the issue and return back to you or you can continue without last item via click to continue button.
Search book title
Enter keywords for book title search
Search book content
Enter keywords for book content search
Filters:
FORMAT
BOOKS
PACKAGES
EDITION
to
PUBLISHER
(1)
(317)
(572)
(43)
(234)
(969)
(643)
(2114)
(64)
(92448)
(54)
(535)
(117)
(31)
(20)
(19)
(92811)
(3)
(17)
(1)
(351)
(300)
(6023)
(239)
(16)
(5)
(1621)
(16)
(18)
(28)
(4)
 
(6)
(7)
(115)
(3)
(57)
(5)
(5)
(1)
(1)
(2)
(23)
(26)
(27)
(13)
(61)
(24)
(22)
(7)
(8)
(20)
(1)
(3)
(50)
(6)
(31)
CONTENT TYPE
 Act
 Admin Code
 Announcements
 Bill
 Book
 CADD File
 CAN
 CEU
 Charter
 Checklist
 City Code
 Code
 Commentary
 Comprehensive Plan
 Conference Paper
 County Code
 Course
 DHS Documents
 Document
 Errata
 Executive Regulation
 Federal Guideline
 Firm Content
 Guideline
 Handbook
 Interpretation
 Journal
 Land Use and Development
 Law
 Legislative Rule
 Local Amendment
 Local Code
 Local Document
 Local Regulation
 Local Standards
 Manual
 Model Code
 Model Standard
 Notice
 Ordinance
 Other
 Paperback
 PASS
 Periodicals
 PIN
 Plan
 Policy
 Product
 Program
 Provisions
 Requirements
 Revisions
 Rules & Regulations
 Standards
 State Amendment
 State Code
 State Manual
 State Plan
 State Standards
 Statute
 Study Guide
 Supplement
 Technical Bulletin
 All
  • ASTM
    D4467-94 Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data
    Edition: 1994
    $103.58
    Unlimited Users per year

Description of ASTM-D4467 1994

ASTM D4467-94

Historical Standard: Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data




ASTM D4467

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:

Sections
Scope 1
Referenced Documents 2
Terminology 3
Significance and Uses 4
General Considerations 5
Basic Statistical Design 6
Pilot-Scale Interlaboratory Test 7
Full-Scale Interlaboratory Test 8
Missing Data 9
Outlying Observations 10
Interpretation of Data 11
Plotting Results 12
Keywords 13
Pilot-Scale and Full-Scale Interlaboratory Tests Annex A1
Calculation 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.


Keywords

discrete data; interlaboratory testing; non-normally distributed data; precision; statistics


ICS Code

ICS Number Code


DOI: 10.1520/D4467-94

The following editions for this book are also available...

This book also exists in the following packages...

Year Publisher Title Annual Price
VAR
ASTM
[+] $1,011.53 Buy
VAR
ASTM
[+] $1,617.04 Buy

Subscription Information

MADCAD.com ASTM Standards subscriptions are annual and access is unlimited concurrency based (number of people that can access the subscription at any given time) from single office location. For pricing on multiple office location ASTM Standards Subscriptions, please contact us at info@madcad.com or +1 800.798.9296.

 

Some features of MADCAD.com ASTM Standards Subscriptions are:

- Online access: With MADCAD.com’ s web based subscription service no downloads or installations are required. Access ASTM Standards from any browser on your computer, tablet or smart phone.

- Immediate Access: As soon as the transaction is completed, your ASTM Standards Subscription will be ready for access.

 

For any further information on MADCAD.com ASTM Standards Subscriptions, please contact us at info@madcad.com or +1 800.798.9296.

 

About ASTM

ASTM International, formerly known as the American Society for Testing and Materials (ASTM), is a globally recognized leader in the development and delivery of international voluntary consensus standards. Today, some 12,000 ASTM standards are used around the world to improve product quality, enhance safety, facilitate market access and trade, and build consumer confidence. ASTM’s leadership in international standards development is driven by the contributions of its members: more than 30,000 of the world’s top technical experts and business professionals representing 150 countries. Working in an open and transparent process and using ASTM’s advanced electronic infrastructure, ASTM members deliver the test methods, specifications, guides, and practices that support industries and governments worldwide.

X