
ISO 16705:2016
ISO 16705:2016 Statistical methods for implementation of Six Sigma – Selected illustrations of contingency table analysis
CDN $305.00
Description
ISO/TR 16705:2016 describes the necessary steps for contingency table analysis and the method to analyse the relation between categorical variables (including nominal variables and ordinal variables).
It provides examples of contingency table analysis. Several illustrations from different fields with different emphasis suggest the procedures of contingency table analysis using different software applications.
In ISO/TR 16705:2016, only two-dimensional contingency tables are considered.
Edition
1
Published Date
2016-07-29
Status
PUBLISHED
Pages
31
Format 
Secure PDF
Secure – PDF details
- Save your file locally or view it via a web viewer
- Viewing permissions are restricted exclusively to the purchaser
- Device limits - 3
- Printing – Enabled only to print (1) copy
See more about our Environmental Commitment
Abstract
ISO/TR 16705:2016 describes the necessary steps for contingency table analysis and the method to analyse the relation between categorical variables (including nominal variables and ordinal variables).
It provides examples of contingency table analysis. Several illustrations from different fields with different emphasis suggest the procedures of contingency table analysis using different software applications.
In ISO/TR 16705:2016, only two-dimensional contingency tables are considered.
Previous Editions
Can’t find what you are looking for?
Please contact us at:
Related Documents
-

ISO 11843:2003 Capability of detection – Part 1: Terms and definitions – Technical Corrigendum 1
CDN $0.00 Add to cart -

ISO 10576:2022 Statistical methods – Guidelines for the evaluation of conformity with specified requirements
CDN $192.00 Add to cart -

ISO 3301:1975 Statistical interpretation of data – Comparison of two means in the case of paired observations
CDN $85.00 Add to cart -

ISO 11843:1997 Capability of detection – Part 1: Terms and definitions
CDN $129.00 Add to cart







