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NON-NORMALITY OF CONTINUED FRACTION PARTIAL
NON-NORMALITY OF CONTINUED FRACTION PARTIAL

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2017 State Competition Countdown Round Problems 1−80

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... 4. It is also often used for a set of numbers whose values are meant to be multiplied together or are exponential in nature, such as data on the growth of the human population or interest rates of a financial investment. ...
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Lecture 7: Sequences, Sums and Countability

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2014 Summer Practice Problems - Juniors of 2014

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MATLAB tutorial (part 1)

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Full text

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Law of large numbers



In probability theory, the law of large numbers (LLN) 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.The LLN is important because it ""guarantees"" stable long-term results for the averages of some random events. For example, while a casino may lose money in a single spin of the roulette wheel, its earnings will tend towards a predictable percentage over a large number of spins. Any winning streak by a player will eventually be overcome by the parameters of the game. It is important to remember that the LLN only applies (as the name indicates) when a large number of observations are considered. There is no principle that a small number of observations will coincide with the expected value or that a streak of one value will immediately be ""balanced"" by the others (see the gambler's fallacy)
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