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ISO 11453

Statistical Interpretation of Data - Tests and Confidence Intervals Relating to Proportions

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Organization: ISO
Publication Date: 1 January 1996
Status: active
Page Count: 62
ICS Code (Application of statistical methods): 03.120.30

Document History

ISO 11453
January 1, 1996
Statistical Interpretation of Data - Tests and Confidence Intervals Relating to Proportions
A description is not available for this item.
11453
January 1, 1996
Statistical Interpretation of Data - Tests and Confidence Intervals Relating to Proportions
A description is not available for this item.

References

This document is referenced by:
BS PD ISO/TR 10017 - Guidance on Statistical Techniques for ISO 9001:2000
Published by BSI on June 19, 2003
A description is not available for this item.
This document is referenced by:
ISO TS 17444-2 - Electronic fee collection - Charging performance - Part 2: Examination Framework
Published by ISO on September 1, 2017
This document defines the Examination Framework for the measurement of charging performance metrics defined in ISO/TS 17444-1 to be used during Evaluation and/or on-going Monitoring. It specifies a...
This document is referenced by:
DIN CEN ISO/TS 17444-2 - Elektronische Gebuehrenerhebung - Abbuchungsdurchfuehrung - Teil 2: Rahmenbedingungen fuer Pruefungen (ISO/TS 17444-2:2017); Englische Fassung CEN ISO/TS 17444-2:2017
Published by DIN on February 1, 2018
A description is not available for this item.
This document is referenced by:
IEC 60300-3-5 - Dependability Management - Part 3-5: Application Guide - Reliability Test Conditions and Statistical Test Principles
Published by IEC on March 1, 2001
This part of IEC 60300 provides guidelines for the planning and performing of reliability tests and the use of statistical methods to analyse test data. It describes the tests related to repaired and...
This document is referenced by:
ISO TR 18532 - Guidance on the application of statistical methods to quality and to industrial standardization
Published by ISO on April 15, 2009
This Technical Report describes a broad range of statistical methods applicable to the management, control and improvement of processes.
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