Limit theorems are fundamental principles in statistics that describe the behavior of probability distributions as the sample size becomes large. They provide crucial insights into how sample means and variances converge to their expected values, allowing statisticians to make inferences about populations based on sample data. Understanding these theorems is essential for grasping concepts like the Central Limit Theorem and how they apply to practical statistical analysis.
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