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Central Limit Theorem
A statistical theory that states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.
Normal Distribution
A bell-shaped frequency distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.
Finite Population Correction Factor
A factor applied to the calculation of sampling error when sampling without replacement from a finite population.
Infinite Population
A theoretical concept in statistics where the population size is considered boundlessly large.
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