Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 17, Issue 2 (2019)
  4. Why Not an Interval Null Hypothesis?

Journal of Data Science

Submit your article Information
  • Article info
  • Related articles
  • More
    Article info Related articles

Why Not an Interval Null Hypothesis?
Volume 17, Issue 2 (2019), pp. 383–390
Michael P. Cohen  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.201904_17(2).0008
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Although hypothesis testing has been misused and abused, we argue that it remains an important method of inference. Requiring preregistration of the details of the inferences planned for a study is a major step to preventing abuse. But when doing hypothesis testing, in practice the null hypothesis is almost always taken to be a “point null”, that is, a hypothesis that a parameter is equal to a constant. One reason for this is that it makes the required computations easier, but with modern computer power this is no longer a compelling justification. In this note we explore the interval null hypothesis that the parameter lies in a fixed interval. We consider a specific example in detail.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
Alpha interval null hypothesis point null hypothesis power type I error

Metrics
since February 2021
676

Article info
views

701

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy