1) Randomly pick 5 numbers from the attached link (use a Random number generator - on Google/calculator) and say 1 - 100 and pick 5 numbers, remember, no repeats (kind of like the first discussion) then find the average of the test scores that correlate to it. This is your sample average. List your 5 numbers and write down your average. 2) The actual mean of the scores is 63.52, how off were you? The standard deviation of the data is 25.606 (think about if these are your sample statistics or population parameters). 3) Find your Margin of Error using 95% confidence. I gave you the population standard deviation so think about if it's a z-test or t-test.
1) Randomly pick 5 numbers from the attached link (use a Random number generator - on Google/calculator) and say 1 - 100 and pick 5 numbers, remember, no repeats (kind of like the first discussion) then find the average of the test scores that correlate to it. This is your sample average. List your 5 numbers and write down your average. 2) The actual mean of the scores is 63.52, how off were you? The standard deviation of the data is 25.606 (think about if these are your sample statistics or population parameters). 3) Find your Margin of Error using 95% confidence. I gave you the population standard deviation so think about if it's a z-test or t-test.
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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1) Randomly pick 5 numbers from the attached link (use a Random number generator - on Google/calculator) and say 1 - 100 and pick 5 numbers, remember, no repeats (kind of like the first discussion) then find the average of the test scores that
2) The actual mean of the scores is 63.52, how off were you? The standard deviation of the data is 25.606 (think about if these are your sample statistics or population parameters).
3) Find your Margin of Error using 95% confidence. I gave you the population standard deviation so think about if it's a z-test or t-test.
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