If we were to calculate the mean age at death in years from samples of individual deaths from 2011 to 2015 in Allegheny County, Pennsylvania, would we obtain a normal distribution, or not? Frequency 4000 3000 2000 1000 0 50 60 70 Age at death (yrs) 80 90 Yes, but only if we sampled more than two, and preferably four or more, individuals No, we will get a similar distribution to the histogram Yes, but only if we sampled lots of times (e.g., 100 times) No, we would get a skewed distribution (like a chi-squared) Yes, but only if we sampled lots of times (e.g., 100 times) and more than two individuals each time.
If we were to calculate the mean age at death in years from samples of individual deaths from 2011 to 2015 in Allegheny County, Pennsylvania, would we obtain a normal distribution, or not? Frequency 4000 3000 2000 1000 0 50 60 70 Age at death (yrs) 80 90 Yes, but only if we sampled more than two, and preferably four or more, individuals No, we will get a similar distribution to the histogram Yes, but only if we sampled lots of times (e.g., 100 times) No, we would get a skewed distribution (like a chi-squared) Yes, but only if we sampled lots of times (e.g., 100 times) and more than two individuals each time.
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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Transcribed Image Text:If we were to calculate the mean age at death in years from samples of individual deaths from 2011 to 2015 in
Allegheny County, Pennsylvania, would we obtain a normal distribution, or not?
Frequency
4000
3000
2000
1000
0
50
60
70
Age at death (yrs)
80
90
Yes, but only if we sampled more than two, and preferably four or more,
individuals
No, we will get a similar distribution to the histogram
Yes, but only if we sampled lots of times (e.g., 100 times)
No, we would get a skewed distribution (like a chi-squared)
Yes, but only if we sampled lots of times (e.g., 100 times) and more than two
individuals each time.
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