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Note Update: Central Limit Theorem and Sampling Distributions

This document explains the Central Limit Theorem, stating that the sum of independent and identically distributed random variables approaches a normal distribution as sample size increases, and introduces the concept of sampling distributions for sample means and proportions with associated conditions.

Class: AP3 | Unit: Unit 5 | Updated: 2025-12-24

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