Open Peer Commentary Chow: Statistical significance
Statistics without probability: Significance testing as typicality and exchangeability in data analysis
John R. Vokey a1 a1 Department of Psychology and Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada T1K 3M4
vokey@uleth.cawww.uleth.ca/~vokey
Abstract
Statistical significance is almost universally equated with
the attribution to some population of nonchance influences as the
source of structure in the data. But statistical significance can be
divorced from both parameter estimation and probability as, instead,
a statement about the atypicality or lack of exchangeability over some
distinction of the data relative to some set. From this perspective,
the criticisms of significance tests evaporate.
