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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?

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?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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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Step 1

Given information:

There are 1000 random samples of size n=500 selected from a population with mean μ=250.

One of the random samples has a standard deviation of s=13.7.

For the sampling distribution of 1000 sample means, the standard error is SE=3.1

 

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