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Article
Statistical intervals, not statistical significance
Significance
  • Gerald J. Hahn, American Statistical Association and American Society for Quality
  • Necip Doganaksoy, Siena College
  • William Q. Meeker, Iowa State University
Document Type
Article
Disciplines
Publication Version
Accepted Manuscript
Publication Date
8-1-2019
DOI
10.1111/j.1740-9713.2019.01298.x
Abstract

Convincing practitioners of the inadequacy of significance testing can employ a two‐step approach. First, explain the difference between statistical significance and practical importance. Then, at least in many situations, use an appropriate statistical interval to quantify the statistical uncertainty.

Comments

This is the peer-reviewed version of the following article: Hahn, Gerald J., Necip Doganaksoy, and William Q. Meeker. "Statistical intervals, not statistical significance." Significance 16, no. 4 (2019): 20-22., which has been published in final form at 10.1111/j.1740-9713.2019.01298.x. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

Copyright Owner
The Royal Statistical Society
Language
en
File Format
application/pdf
Citation Information
Gerald J. Hahn, Necip Doganaksoy and William Q. Meeker. "Statistical intervals, not statistical significance" Significance Vol. 16 Iss. 4 (2019) p. 20 - 22
Available at: http://works.bepress.com/wqmeeker/166/