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  • https://stats.libretexts.org/Bookshelves/Probability_Theory/Applied_Probability_(Pfeiffer)/13%3A_Transform_Methods/13.02%3A_Convergence_and_the_Central_Limit_Theorem
    In the statistics of large samples, the sample average is a constant times the sum of the random variables in the sampling process . Thus, for large samples, the sample average is approximately normal...In the statistics of large samples, the sample average is a constant times the sum of the random variables in the sampling process . Thus, for large samples, the sample average is approximately normal—whether or not the population distribution is normal. In the case of sample average, the “closeness” to a limit is expressed in terms of the probability that the observed value Xn(ω) should lie close the the value X(ω) of the limiting random variable.

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