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  • 7.2: The Sampling Distribution of the Sample Mean
    https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Elementary_Statistics/07%3A_Sampling_Distributions_and_the_Central_Limit_Theorem/7.02%3A_The_Sampling_Distribution_of_the_Sample_Mean
    This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theo...This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theorem is that it allows us to make probability statements about the sample mean, specifically in relation to its value in comparison to the population mean, as we will see in the examples
  • 6.1: The Sampling Distribution of Means
    https://stats.libretexts.org/Courses/Rio_Hondo_College/Math_130%3A_Statistics/06%3A_Sampling_Distribution/6.01%3A_The_Sampling_Distribution_of_Means
    This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theo...This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theorem is that it allows us to make probability statements about the sample mean, specifically in relation to its value in comparison to the population mean, as we will see in the examples
  • 8.2: The Sampling Distribution of the Sample Mean
    https://stats.libretexts.org/Courses/Queensborough_Community_College/MA336%3A_Statistics/08%3A_Sampling_Distributions/8.02%3A_The_Sampling_Distribution_of_the_Sample_Mean
    This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theo...This phenomenon of the sampling distribution of the mean taking on a bell shape even though the population distribution is not bell-shaped happens in general.  The importance of the Central Limit Theorem is that it allows us to make probability statements about the sample mean, specifically in relation to its value in comparison to the population mean, as we will see in the examples

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