Advanced Quantitative Methods
The Central Limit Theorem states that the distribution of the sample means will tend to be normally distributed, regardless of the original distribution of the population, as long as the sample size is sufficiently large. This principle is crucial because it allows for the use of normal probability distributions in statistical inference and hypothesis testing, even when dealing with non-normal populations, and it connects various concepts like random variables and sampling techniques.
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