Why We Don’t Really Know What "Statistical Significance" Means: A Major Educational Failure

摘要: The Neyman-Pearson theory of hypothesis testing, with the Type I error rate, α, as significance level, is widely regarded statistical testing orthodoxy. Fisher’s model where evidential p value denotes level significance, nevertheless dominates practice. This paradox has occurred because these two incompatible theories classical have been anonymously mixed together, creating false impression a single, coherent inference. We show that this hybrid approach to its misleading