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  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/DSCI_500B_Essential_Probability_Theory_for_Data_Science_(Kuter)/06%3A_The_Sample_Mean_and_Central_Limit_Theorem/6.02%3A_Sample_Mean
    The \(d\) above the arrow in Equation \ref{dlimit} above stands for distribution and indicates that, as the sample size increases without bound, the limit of the probability distribution of \(\bar{X}\...The \(d\) above the arrow in Equation \ref{dlimit} above stands for distribution and indicates that, as the sample size increases without bound, the limit of the probability distribution of \(\bar{X}\) is given by the \(N(\mu, \sigma/\sqrt{n})\) distribution.

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