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If in general the meaning of what we call "knowing" is closely bound up with the methodological tools used to this end, then those who wish to reflect adequately upon empirical knowledge must be in possession of at least the basic notions underlying the statistical inductive methods used in the experimentation and monitoring of empirical hypotheses.
This book addresses an argument that has been neglected to date, namely that of the logic of statistical methods of inductive inference. Correlation theory, significance tests, hypothesis tests and even the Bayesian approach are discussed with a view to highlighting their specific spheres of application, their limitations and the type of response that they are capable of providing within the framework of a more general discussion on the manifold dimensions of knowledge.
Coniglione, Francesco; Lenoci, Michele; Mari, Giovanni; Polizzi, Gaspare
Bombi, Anna Silvia; Pinto, Giuliana; Cannoni Eleonora
Borello, Enrico; Mannori, Silvia
Trisciuzzi, Leonardo; Zappaterra, Tamara; Bichi, Lisa
Maria Grazia Sandrini
Cambi, Franco; Mari, Giovanni
Di Stasio, Margherita