In: Statistics and Probability
Use the central limit theorem to find the mean and standard error of the mean of the indicated sampling distribution: The amounts body temperatures of patients with influenza (in degrees Fahrenheit) are normally distributed with a mean of 101 degrees and a standard deviation of 0.5 degrees. Random samples of size 9 are drawn from the population and the mean of each sample is determined.
101 degrees; 0.1667 degrees |
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101 degrees; 0.5000 degrees |
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11.22 degrees; 0.1667 degrees |
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11.22 degrees; 0.5000 degrees |
As per Central Limit Theorem, for any distribution with mean µ
and standard deviation σ,
as the sample size increases, the sampling distribution of the
mean, X-bar,
can be approximated by a normal distribution with mean µ and
standard error of the mean σ/√n where
n is the sample size
Let X be the body temperatures of patients with
influenza
Given
Mean of X , µ = 101 degrees
Standard Deviation , σ = 0.5 degrees
n = 9
Thus the sample mean X̅ follows Normal Distribution with
mean μ = 101 degrees and standard error of
the mean σ =
0.5/√9 = 0.1667
Answer : (Option 1)
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