probabilistic

A probabilistic statement (also: probability statement ) says about an issue (such as in the occurrence of an event) that this is to a certain probability.

With the exception of logical conclusions or inferences based strictly deterministic laws, in many cases not sufficient justification for claiming certainty for certain situations. Often, however, absolute or relative, exact or approximate probability scores can be specified, so it only probability statements are possible. Such statements generally allow no provision of individual cases, but there are statistical statements about regularly scheduled events. Incidentally, but different philosophical interpretations of probabilities are discussed. A borderline case for nichtprobabilistischen statement is a probability score with 1

Examples

Example: " The probability that a student with a final grade of at least 3 achieved a university degree within 5 years is 80 percent."

In particular, in the social sciences many statements must remain probabilistic, eg survey results and election forecasts. Also in bioinformatics play an important role probabilistic statements, as there are large amounts of data, but little knowledge of the details of the processes from which these data arise. In general, to be derived from the gaps and erroneous data the underlying model.

The basis of many probabilistic models ( estimate of the relevance probability ) is due to Bayes' Theorem.

Formal logic provides also to deal with probability statements with the fuzzy logic, probabilistic and possibilistic logic tools. These techniques are used in different disciplines, such as in different areas of computer science, eg for knowledge-based systems.

In physics, the vast majority of quantum-mechanical calculations of later system states are only probabilistically, see Born's rule.