The waiting times (in minutes) of a random sample of 21 people at a bank have a sample standard deviation of 4.7 minutes. Construct a confidence interval for the population variance σ2 and the population standard deviation σ Use a 99%
level of confidence. Assume the sample is from a normally distributed population.
What is the confidence interval for the population variance σ2? (__,__) (Round to one decimal place as needed.)
What is the confidence interval for the population standard deviation σ? (__, __) (Round to one decimal place as needed.)
Solution :
Given that n = 21 , standard deviation s = 4.7
=> df = n - 1 = 20
=> for 99% level of confidence , c = 0.99 then p = 0.005
XR^2 = 40 , XL^2 = 7.434
=> The 99% confidence interval of population variance is
=> ((n - 1)*s^2)/XR^2 < σ^2 < ((n - 1)*s^2)/XL^2
=> (20*(4.7^2))/40 < σ^2 < (20*(4.7^2))/7.434
=> 11.0450 < σ^2 < 59.4296
=> 11.0 < σ^2 < 59.4 (rounded)
=> (11.0 , 59.4)
=> The 99% confidence interval of population standard deviation is
=> sqrt(((n - 1)*s^2)/XR^2) < σ < sqrt(((n - 1)*s^2)/XL^2)
=> sqrt((20*(4.7^2))/40) < σ < sqrt((20*(4.7^2))/7.434)
=> sqrt(11.0450) < σ < sqrt(59.4296)
=> 3.3234 < σ < 7.7091
=> 3.3 < σ < 7.7 (rounded)
=> (3.3 , 7.7)
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