Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 103 pounds and a standard deviation of 39.4 pounds. Random samples of size 20 are drawn from this population and the mean of each sample is determined. ...

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution.
Then sketch a graph of the sampling distribution.
The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean
of 103 pounds and a standard deviation of 39.4 pounds. Random samples of size 20 are drawn from this population
and the mean of each sample is determined.
1=0
ox
= (Round to three decimal places as needed.)
Sketch a graph of the sampling distribution. Choose the correct graph below.
O A.
Q
a
A A
85.4
103 120.6
-300.2 8.8 317.8
SOB.
4
Q
Q
OC.
76.6 103 129.4
Q
Q
OD.
-94.2 8.8
111.8
Q
Q
Transcribed Image Text:Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution. Then sketch a graph of the sampling distribution. The per capita consumption of red meat by people in a country in a recent year was normally distributed, with a mean of 103 pounds and a standard deviation of 39.4 pounds. Random samples of size 20 are drawn from this population and the mean of each sample is determined. 1=0 ox = (Round to three decimal places as needed.) Sketch a graph of the sampling distribution. Choose the correct graph below. O A. Q a A A 85.4 103 120.6 -300.2 8.8 317.8 SOB. 4 Q Q OC. 76.6 103 129.4 Q Q OD. -94.2 8.8 111.8 Q Q
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