A simple random sample from a population with a normal distribution of 99 body temperatures has x overbarequals98.90degrees Upper F and sequals0.62degrees Upper F. Construct a 95% confidence interval estimate of the standard deviation of body temperature of all healthy humans. LOADING... Click the icon to view the table of Chi-Square critical values.
Solution:
Confidence interval for population standard deviation is given as below:
Sqrt[(n – 1)*S2 / χ2α/2, n– 1 ] < σ < sqrt[(n – 1)*S2 / χ21 -α/2, n– 1 ]
We are given
Confidence level = 95%
Sample size = n = 99
Degrees of freedom = n – 1 = 98
Sample standard deviation = S = 0.62
χ2α/2, n – 1 = 127.2821
χ21 -α/2, n– 1 = 72.5009
(By using chi square table)
Sqrt[(n – 1)*S2 / χ2α/2, n– 1 ] < σ < sqrt[(n – 1)*S2 / χ21 -α/2, n– 1 ]
Sqrt[(99 – 1)* 0.62^2 / 127.2821] < σ < sqrt[(99 – 1)* 0.62^2/ 72.5009]
Sqrt(0.2960) < σ < sqrt(0.5196)
0.5440 < σ < 0.7208
Lower limit = 0.5440
Upper limit = 0.7208
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