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6.5: Sampling Distribution and the Central Limit Theorem
https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/06%3A_Continuous_Probability_Distributions/6.05%3A_Sampling_Distribution_and_the_Central_Limit_Theorem
Remember that the mean of the sample mean is just the mean of the original data ( $\mu_{\overline{x}}=\mu$ ), but the standard deviation of the sample mean, $\sigma_{\overline{x}}$ , also known as t...Remember that the mean of the sample mean is just the mean of the original data ( $\mu_{\overline{x}}=\mu$ ), but the standard deviation of the sample mean, $\sigma_{\overline{x}}$ , also known as the standard error of the mean, is actually $\sigma_{\overline{x}}=\dfrac{\sigma}{\sqrt{n}}$ .

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