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Introduction to Statistics and Data Analysis4th EditionChris Olsen, Jay L. Devore, Roxy Peck 552 solutions What does central limit theorem tell us about the sampling distribution of the sample mean?The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution.
What does the central limit theorem tell us quizlet?Central Limit Theorem (CLT) tells us that for any population distribution, if we draw many samples of a large size, nn, then the distribution of sample means, called the sampling distribution, will: Be normally distributed.
What does the central limit theorem tell us and why is it important?Why is central limit theorem important? The central limit theorem tells us that no matter what the distribution of the population is, the shape of the sampling distribution will approach normality as the sample size (N) increases.
Why is the central limit theorem so important to the study of sampling distributions quizlet?The central limit theorem is known to be important to the study of sampling distributions because it enables us to disregard the shape of the population when the value of n is relatively large.
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What does the central limit theorem tell us about the sampling distribution of the sample mean quizlet?
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