How does the Central Limit Theorem relate to the Normal Distribution?
- The Central Limit Theorem and the Normal Distribution are unrelated
- The Central Limit Theorem states that any distribution can be transformed into a Normal Distribution
- The Central Limit Theorem states that large samples will always follow a Normal Distribution
- The Central Limit Theorem states that the sum of independent and identically distributed random variables tends toward a Normal Distribution
The Central Limit Theorem states that the sum of a large number of independent and identically distributed random variables, irrespective of their shape, tends towards a Normal Distribution as the number of variables increases.
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