The table below shows the lengths of some randomly chosen CDs in John’s very large collection. Give the 91% confidence interval for the population mean, assuming that the population is approximately normally distributed. Round the endpoints to two decimal places.
48.19 | 63.29 | 41.40 | 70.15 | 55.33 | 59.09 | 52.72 | 48.57 | 43.20 | 58.33 |
40.36 | 53.42 | 39.17 | 45.22 | 63.60 | 46.21 | 47.13 | 43.84 | 65.37 | 35.94 |
44.64 | 73.43 | 73.76 | 62.24 | 52.90 | 44.25 | 53.48 | 42.56 | 41.58 | 58.46 |
44.50 | 42.77 | 60.32 | 50.24 | 54.37 |
Confidence interval: (_ ,_ )
Solution:
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
From given data, we have
Xbar = 52.00085714
S = 10.04650404
n = 35
df = n l- 1 = 34
Confidence level = 91%
Critical t value = 1.7451
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 52.00085714 ± 1.7451*10.04650404/sqrt(35)
Confidence interval = 52.00085714 ± 2.9635
Lower limit = 52.00085714 - 2.9635 = 49.04
Upper limit = 52.00085714 + 2.9635 = 54.96
Confidence interval = (49.04, 54.96)
The table below shows the lengths of some randomly chosen CDs in John’s very large collection....