|Probability distribution: A probability distribution is the distribution of the probabilities for discrete individual events in a given experimental setup or situation. It is given by a probability function. While a uniform distribution is to be expected for a dice, the distribution of e.g. the expected body sizes of a human population will be concentrated around a mean value. See also probability function._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. |
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Probability / Probability Laws / Armstrong: relative frequency does not have to depict the Probability Law - each occurring event itself may be unlikely - infinite sequences: here you can make the limit of relative frequencies - but no solution - Regularity Theory: must assume a Law fo Probability for each event: absurd - "indefinite improbability" / Lewis / Armstrong: the relative frequency wrongly maps the prblty law - distribution: No distib. is impossible, therefore therefore, the law seems to allow any - real Probability Law: here no property D through which the atom disintegrates when the property is present.
Probability Laws / Armstrong: cannot be identified with molecular facts of distributions - WProbability Laws are Natural Laws that do not logically supervene on facts._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution.
AR II = Disp
D. M. Armstrong
Dispositions, Tim Crane, London New York 1996
What is a Law of Nature? Cambridge 1983