Published online by Cambridge University Press: 14 March 2022
Several authors have recently contended that modern statistical theory provides a powerful argument in favor of the view that if scientists accept or reject hypotheses at all they do so only in a behavioral sense—i.e., in a sense which reduces “accepting P” to “acting on the basis of P relative to an objective O”. In this paper, the argument from statistics in favor of a behavioral view is outlined; an interpretation of two statistical procedures (Bayes method and signifigance testing) is offered which does not entail a behavioral analysis of “accepting a hypothesis”; and the conclusion that non-behavioral analyses of belief are compatible with the application of current statistical theory in the sciences is tentatively advanced.
Acknowledgements are due to Professors Ernest Nagel and Sidney Morgenbesser and to Mr. John McLellan for their helpful comment, and encouragement.