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what is the law of large numbers?
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In probability theory, the law of large numbers is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. For example, \[(1+2+3+4+5+6)/6 = 3.5\] See the attachment for yet another example.
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So, in a nutshell: the more times an experiment is performed, the greater the tendency for the results to be near the mean (or "average") of the data set.
that explains more than enough thank u very much
Any time! :)
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