law of large numbers
Definition
Statistical concept that larger the sample population (or the number of observations) used in a test, the more accurate the predictions of the behavior of that sample, and smaller the expected deviation in comparisons of outcomes. As a general principle it means that, in the long run, the average (mean) of a long series of observations may be taken as the best estimate of the 'true value' of a variable. In other words, what is unpredictable and chancy in case of an individual is predictable and uniform in the case of a large group. This law forms the basis for the expectation of probable-loss upon which insurance premium rates are computed. Also called law of averages. See also law of small numbers and law of statistical regularity.
law of large numbers is in the Economics, Politics, & Society and Statistics, Mathematics, & Analysis subjects.
law of large numbers appears in the definitions of the following terms: Monte Carlo method, law of averages, central limit theorem, law of small numbers and degree of risk
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