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Chapter 6 Review

Chapter 6 Review. 6-1 Preparation 6-2 The Standard Normal Distribution 6-3 Applications of Normal Distributions 6-4 Sampling Distributions and Estimators 6-5 The Central Limit Theorem 6-6 Assessing Normality 6-7 Normal as Approximation to Binomial. Example.

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6-5 The Central Limit Theorem

6-5 The Central Limit Theorem. The Central Limit Theorem tells us that for a population with any distribution, the distribution of the sample means approaches a normal distribution as the sample size increases.

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Chapter 6 Review

6-5 The Central Limit Theorem