A distribution created by drawing many random samples from the same population refers to:

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A distribution created by drawing many random samples from the same population is called a sampling distribution. The Central Limit Theorem is a statistical theory that states the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough. Sampling interval refers to the size of the intervals used in systematic sampling. Central variation is not a term commonly used in statistics.

A Distribution Created by Drawing Many Random Samples from the Same