Simulate a normal population of size N = 2000 with a mean of 100 and standard deviation of 15. Imagine that these simulated scores represent IQ scores. Now, write some code to randomly sample n = 300 values from this population without

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Question 4
Simulate a normal population of size N = 2000 with a mean of 100 and standard deviation of 15.
Imagine that these simulated scores represent IQ scores.
Now, write some code to randomly sample n = 300 values from this population without
replacement.
*For both the simulation of the population and the sample, set your seed to 10 so that your random
numbers match mine. In other words, run the set.seed() function before you simulate the
population and run the set.seed() function before you simulate the sample. (If you don't set your
seed correctly, your answer to this question will be incorrect.)
Given the point estimate of mu for the sample you just simulated, at which percentile did your
sample score? (Remember to determine whether or not a finite population correction factor is
necessary.)
88th
83rd
92nd
98th
Transcribed Image Text:Question 4 Simulate a normal population of size N = 2000 with a mean of 100 and standard deviation of 15. Imagine that these simulated scores represent IQ scores. Now, write some code to randomly sample n = 300 values from this population without replacement. *For both the simulation of the population and the sample, set your seed to 10 so that your random numbers match mine. In other words, run the set.seed() function before you simulate the population and run the set.seed() function before you simulate the sample. (If you don't set your seed correctly, your answer to this question will be incorrect.) Given the point estimate of mu for the sample you just simulated, at which percentile did your sample score? (Remember to determine whether or not a finite population correction factor is necessary.) 88th 83rd 92nd 98th
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