The tendency for an initial segment of data to show some bias that drops out later, one example in number theory being
Kummer's conjecture on cubic Gauss sums
The
strong law of small numbers, an observation made by the mathematician Richard K. Guy: "There aren't enough small numbers to meet the many demands made of them."
See also
Law of large numbers, a theorem that describes results approaching their average probabilities as they increase in sample size. (Hasty generalization is the mistaken application of this law to small data sets.)
Law of anomalous numbers (also called first-digit law and (Newcomb–)Benford law), an observation about the frequency distribution of leading digits in many real-life sets of numerical data.
This
disambiguation page lists mathematics articles associated with the same title. If an
internal link led you here, you may wish to change the link to point directly to the intended article.
The tendency for an initial segment of data to show some bias that drops out later, one example in number theory being
Kummer's conjecture on cubic Gauss sums
The
strong law of small numbers, an observation made by the mathematician Richard K. Guy: "There aren't enough small numbers to meet the many demands made of them."
See also
Law of large numbers, a theorem that describes results approaching their average probabilities as they increase in sample size. (Hasty generalization is the mistaken application of this law to small data sets.)
Law of anomalous numbers (also called first-digit law and (Newcomb–)Benford law), an observation about the frequency distribution of leading digits in many real-life sets of numerical data.
This
disambiguation page lists mathematics articles associated with the same title. If an
internal link led you here, you may wish to change the link to point directly to the intended article.