Using Permutation Tests to Reduce Type I and II Errors for Small Ruminant Research

Abstract

Önder, H. 2007. Using permutation tests to reduce type I and II errors for small ruminant research. J. Appl. Anim. Res., 32: 69–72.

Although parametric tests (F or t) are considerably effective, these are sometimes ineffective when the assumptions needed by model are not provided. In such a case, permutation test unaffected by the assumptions can be applied as a non-parametric method. It has been observed by citing an example that permutation test produces more reliable results than one-way ANOVA in terms of type I error rate and power of the test and permutation test is recommended in order to avoid type I and II errors and to prevent the potential profit lost.

Keywords:

• Permutation test
• ANOVA
• power of the test
• type I and II errors
• hair length