## Philosophy Lexicon of Arguments | |||

| |||

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. | |||

Author | Item | Summary | Meta data |
---|---|---|---|

Books on Amazon | III 29f 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. III 31 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 InDispositions, Tim Crane, London New York 1996 AR III D. Armstrong What is a Law of Nature? Cambridge 1983 |

> Counter arguments against **Armstrong**

> Suggest your own contribution | > Suggest a correction | > Export as BibTeX Datei

Ed. Martin Schulz, access date 2018-05-20