In: Statistics and Probability
A simple random sample from a population with a normal distribution of 98 body temperatures has x overbar=98.80degrees Upper F and s=0.67degrees Upper F. Construct a 95% confidence interval estimate of the standard deviation of body temperature of all healthy humans.
We need to construct the 95% confidence interval for the population variance. We have been provided with the following information about the sample variance and sample size:
s^2 = |
0.4489 |
n= |
98 |
The critical values for α=0.05 and df = 97
degrees of freedom are
and
The corresponding confidence interval is computed as shown below:
Now that we have the limits for the confidence interval, the limits for the 95% confidence interval for the population standard deviation are obtained by simply taking the squared root of the limits of the confidence interval for the variance, so then:
Therefore, based on the data provided, the 95% confidence interval for the population variance is 0.3452<σ2<0.6078,
and the 95% confidence interval for the population standard deviation is 0.5875<σ<0.7796.
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