29.The standard deviation of the sample means is equal to which of the following? A. population standard deviation divided by the square root of n (sample size) B. sample standard deviation divided by n (sample size) C. sample standard deviation divided by the square root of n (sample size) D. population standard deviation divided by n (sample size)
Question
29.The standard deviation of the sample means is equal to which of the following? A. population standard deviation divided by the square root of n (sample size) B. sample standard deviation divided by n (sample size) C. sample standard deviation divided by the square root of n (sample size) D. population standard deviation divided by n (sample size)
Solution 1
The correct answer is A. The standard deviation of the sample means, also known as the standard error, is equal to the population standard deviation divided by the square root of n (sample size). This is a fundamental concept in statistics, particularly in the field of inferential statistics, which deals with making predictions or inferences about a population based on a sample.
Solution 2
Solution 3
The correct answer is A. The standard deviation of the sample means, also known as the standard error, is equal to the population standard deviation divided by the square root of n (sample size). This is a fundamental concept in statistics, particularly in the field of inferential statistics, which deals with making predictions or inferences about a population based on a sample.
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