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Etymologie

regularity$68479$ - Übersetzung nach griechisch

StatisticalRegularity; Law Of Statistical Regularity; Statistical Regularity

regularity

n. κανονικότης, κανονικότητα, τακτικότης, τακτικότητα

Definition

Regular

·adj ·same·as Isometric.

II. Regular ·adj Thorough; complete; unmitigated; as, a regular humbug.

III. Regular ·adj A soldier belonging to a permanent or standing army;

- chiefly used in the plural.

IV. Regular ·adj Belonging to a monastic order or community; as, regular clergy, in distinction dfrom the secular clergy.

V. Regular ·adj Having all the parts of the same kind alike in size and shape; as, a regular flower; a regular sea urchin.

VI. Regular ·adj A member of any religious order or community who has taken the vows of poverty, chastity, and obedience, and who has been solemnly recognized by the church.

VII. Regular ·adj Constituted, selected, or conducted in conformity with established usages, rules, or discipline; duly authorized; permanently organized; as, a regular meeting; a regular physican; a regular nomination; regular troops.

VIII. Regular ·adj Governed by rule or rules; steady or uniform in course, practice, or occurence; not subject to unexplained or irrational variation; returning at stated intervals; steadily pursued; orderlly; methodical; as, the regular succession of day and night; regular habits.

IX. Regular ·adj Conformed to a rule; agreeable to an established rule, law, principle, or type, or to established customary forms; normal; symmetrical; as, a regular verse in poetry; a regular piece of music; a regular verb; regular practice of law or medicine; a regular building.

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Wikipedia

Statistical regularity

Statistical regularity is a notion in statistics and probability theory that random events exhibit regularity when repeated enough times or that enough sufficiently similar random events exhibit regularity. It is an umbrella term that covers the law of large numbers, all central limit theorems and ergodic theorems.

If one throws a dice once, it is difficult to predict the outcome, but if one repeats this experiment many times, one will see that the number of times each result occurs divided by the number of throws will eventually stabilize towards a specific value.

Repeating a series of trials will produce similar, but not identical, results for each series: the average, the standard deviation and other distributional characteristics will be around the same for each series of trials.

The notion is used in games of chance, demographic statistics, quality control of a manufacturing process, and in many other parts of our lives.

Observations of this phenomenon provided the initial motivation for the concept of what is now known as frequency probability.

This phenomenon should not be confused with the gambler's fallacy, because regularity only refers to the (possibly very) long run. The gambler's fallacy does not apply to statistical regularity because the latter considers the whole rather than individual cases.

https://en.wikipedia.org/wiki/Statistical regularity