For a sample size n (n>1), the Central Limit Theorem states O the mean of the ste of sample means is always less than the mean of the population O the shape of the sample distribution of sample means is always normal O the mean of the set of sample means is equal to the mean of the population. O the standtard deviation of the set of sample means is greater than the estandard deviation of the population O the standard deviation of the set of sample means is equal to the standard deviation of the population

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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For a sample size n (n>1), the Central Limit Theorem states:
O the mean of the ste of sample means is always less than the mean of the population
O the shape of the sample distribution of sample means is always normal
O the mean of the set of sample means is equal to the mean of the population
O the standtard deviation of the set of sample means is greater than the estandard deviation of the population
O the standard deviation of the set of sample means is equal to the standard deviation of the population
Transcribed Image Text:For a sample size n (n>1), the Central Limit Theorem states: O the mean of the ste of sample means is always less than the mean of the population O the shape of the sample distribution of sample means is always normal O the mean of the set of sample means is equal to the mean of the population O the standtard deviation of the set of sample means is greater than the estandard deviation of the population O the standard deviation of the set of sample means is equal to the standard deviation of the population
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