In: Statistics and Probability
A magazine includes a report on the energy costs per year for 32-inch liquid crystal display (LCD) televisions. The article states that
14
randomly selected 32-inch LCD televisions have a sample standard deviation of
$3.05.
Assume the sample is taken from a normally distributed population. Construct
90%
confidence intervals for (a) the population variance
sigmaσsquared2
and (b) the population standard deviation
sigmaσ.
Interpret the results.
(a) The confidence interval for the population variance is
(Round to two decimal places as needed.)
Solution :
Given that,
(a)
s = $3.05
Point estimate = s2 = 9.3025
2R = 2/2,df = 22.362
2L = 21 - /2,df = 5.892
The 90% confidence interval for 2 is,
(n - 1)s2 / 2/2 < 2 < (n - 1)s2 / 21 - /2
(13)(9.3025) / 22.362 < 2 < (13)(9.3025) / 5.892
5.41 < 2 < 20.53
(5.41 , 20.53)
(b)
s = $3.05
s2 = 9.3025
2R = 2/2,df = 22.362
2L = 21 - /2,df = 5.892
The 90% confidence interval for is,
(n - 1)s2 / 2/2 < < (n - 1)s2 / 21 - /2
(13)(9.3025) / 22.362 < < (13)(9.3025) / 5.892
2.33 < < 4.53
(2.33 , 4.53)