The frequentist procedures of significance testing and confidence intervals can be constructed without regard to utility functions.

The Newman-Keuls procedure is based on a stepwise or layer approach to significance testing.

He was known for his contribution to the foundations of significance testing.

Confidence intervals are closely related to statistical significance testing.

Neyman/Pearson considered their formulation to be an improved generalization of significance testing.

Controversy over significance testing, and its effects on publication bias in particular, has produced several results.

The numerous criticisms of significance testing do not lead to a single alternative or even to a unified set of alternatives.

It is unlikely that the controversy surrounding significance testing will be resolved in the near future.

Bayesian inference is one alternative to significance testing.

For significance testing, the degrees of freedom for this test is 2n 2 where n is the number of participants in each group.