1. The number of vehicles on a highway link is counted on each
of 40 randomly chosen days. The mean number of vehicles is found to
be 135, and the standard deviation is 90.
(a) Find a 90% confidence interval for the sample mean.
(b) Find a 90% confidence interval for the mean, assuming it had
been based upon a sample of 15 days, instead of a sample 40
days.
Solution :
Given that,
a)
sample size = n = 40
Degrees of freedom = df = n - 1 = 39
At 90% confidence level the t is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
t /2,df = t0.05,39 = 1.685
Margin of error = E = t/2,df * (s /n)
= 1.685 * (90 / 40)
= 23.978
The 90% confidence interval estimate of the population mean is,
- E < < + E
135 - 23.978 < < 135 + 23.978
111.022 < < 158.978
(111.022 , 158.978)
b)
sample size = n = 15
Degrees of freedom = df = n - 1 = 14
At 90% confidence level the t is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
t /2,df = t0.05,14 = 1.761
Margin of error = E = t/2,df * (s /n)
= 1.761 * (90 / 15)
= 40.922
The 90% confidence interval estimate of the population mean is,
- E < < + E
135 - 40.922 < < 135 + 40.922
94.078 < < 175.922
(94.078 , 175.922)
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