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4. Which of the following descriptions about Central Limit Theorem is NOT essential? A. The larger the sample, the better approximation will be. B. The smaller the sample, the bigger the approximation will be. C. When the original variable is normally distributed, the distribution of the sample means will be normally distributed for any sample size n. D. When the distribution of the original variable might not be normal, a sample size of 30 or more is needed to use a normal distribution to approximate the distribution of the sample means.

4. Which of the following descriptions about Central Limit Theorem is NOT essential? A. The larger the sample, the better approximation will be. B. The smaller the sample, the bigger the approximation will be. C. When the original variable is normally distributed, the distribution of the sample means will be normally distributed for any sample size n. D. When the distribution of the original variable might not be normal, a sample size of 30 or more is needed to use a normal distribution to approximate the distribution of the sample means.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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4. Which of the following descriptions about Central Limit Theorem is NOT essential? A. The larger the sample, the better approximation will be. B. The smaller the sample, the bigger the approximation will be. C. When the original variable is normally distributed, the distribution of the sample means will be normally distributed for any sample size n. D. When the distribution of the original variable might not be normal, a sample size of 30 or more is needed to use a normal distribution to approximate the distribution of the sample means.
Transcribed Image Text:4. Which of the following descriptions about Central Limit Theorem is NOT essential? A. The larger the sample, the better approximation will be. B. The smaller the sample, the bigger the approximation will be. C. When the original variable is normally distributed, the distribution of the sample means will be normally distributed for any sample size n. D. When the distribution of the original variable might not be normal, a sample size of 30 or more is needed to use a normal distribution to approximate the distribution of the sample means.
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