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7.3: Sampling Distributions and the Central Limit Theorem
https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/07%3A_Estimating_Unknown_Quantities_from_a_Sample/7.03%3A_Sampling_Distributions_and_the_Central_Limit_Theorem
This time, the histogram produces a ∩-shaped distribution: it’s still not normal, but it’s a lot closer to the black line than the population distribution in Figure ??. When I increase the sample size...This time, the histogram produces a ∩-shaped distribution: it’s still not normal, but it’s a lot closer to the black line than the population distribution in Figure ??. When I increase the sample size to N=4, the sampling distribution of the mean is very close to normal (Figure ??, and by the time we reach a sample size of N=8 it’s almost perfectly normal.
4.6: Sampling Distributions and the Central Limit Theorem
https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/01%3A_Description/04%3A_Distributions/4.06%3A_Sampling_Distributions_and_the_Central_Limit_Theorem
Sorta redundant, but sampling distributions are distributions of the means of samples
4.6: Sampling Distributions and the Central Limit Theorem
https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/04%3A_Distributions/4.06%3A_Sampling_Distributions_and_the_Central_Limit_Theorem
Sorta redundant, but sampling distributions are distributions of the means of samples

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