A clinical researcher knows from experience that average body temperature for a particular group they are studying is approximately normally distributed with μ = 98.2 degrees Fahrenheit and population standard deviation σ = 0.73 deg Fahrenheit. Use R to simulate 30 values from this distribution (call it “sample1”) and then simulate 1,000 values from this distribution (call it “sample2”) assuming normality. Plot histograms and derive the summary statistics for sample1 and sample2. Can you explain your findings? Why is random sampling important in statistics?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A clinical researcher knows from experience that average body temperature for a
particular group they are studying is approximately normally distributed with μ =
98.2 degrees Fahrenheit and population standard deviation σ = 0.73 deg
Fahrenheit. Use R to simulate 30 values from this distribution (call it “sample1”)
and then simulate 1,000 values from this distribution (call it “sample2”) assuming
normality. Plot histograms and derive the summary statistics for sample1 and
sample2. Can you explain your findings? Why is random sampling important in
statistics?

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how about sample 1? what would the explanation be?

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