Suppose you take 1,000 random samples of size n = 500 from a population with mean = 250. One of the random samples has a standard deviation of s = 13.7. You create a sampling distribution from the 1,000 sample means, and the standard error is SE = 3.1. What is the difference in meaning between s = 13.7 and SE= 3.1?

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Suppose you take 1,000 random samples of size n = 500 from a population with mean
= 250. One of the random samples has a standard deviation of s = 13.7. You create a
sampling distribution from the 1,000 sample means, and the standard error is SE = 3.1.
What is the difference in meaning between s = 13.7 and SE = 3.1?
Transcribed Image Text:Suppose you take 1,000 random samples of size n = 500 from a population with mean = 250. One of the random samples has a standard deviation of s = 13.7. You create a sampling distribution from the 1,000 sample means, and the standard error is SE = 3.1. What is the difference in meaning between s = 13.7 and SE = 3.1?
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