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  • https://stats.libretexts.org/Courses/Concord_University/Elementary_Statistics/08%3A_Confidence_Intervals/8.04%3A_A_Population_Proportion
    The procedure to find the confidence interval, the sample size, the error bound, and the confidence level for a proportion is similar to that for the population mean, but the formulas are different.
  • https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Introductory_Statistics_(OpenStax)_GAYDOS/07%3A_The_Central_Limit_Theorem/7.02A%3A_The_Central_Limit_Theorem_for_Sums
    The central limit theorem tells us that for a population with any distribution, the distribution of the sums for the sample means approaches a normal distribution as the sample size increases. In othe...The central limit theorem tells us that for a population with any distribution, the distribution of the sums for the sample means approaches a normal distribution as the sample size increases. In other words, if the sample size is large enough, the distribution of the sums can be approximated by a normal distribution even if the original population is not normally distributed.
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/Math_130%3A_Statistics/07%3A_Confidence_Intervals/7.02%3A_Confidence_Interval_for_a_Proportion
    The procedure to find the confidence interval, the sample size, the error bound, and the confidence level for a proportion is similar to that for the population mean, but the formulas are different.

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