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The Law of Large Numbers implies that the probability that the error in the estimate of the mean of a random variable is greater than

The Law of Large Numbers implies that the probability that the error in the estimate of the mean of a random variable is greater than epsilon is

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inversely proportional to its variance

proportional to the size of the sample

None of the other answers

inversely proportional to the square of the error

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