In: Statistics and Probability
A random sample of ?n measurements was selected from a population with standard deviation ?=14.6 and unknown mean ?. Calculate a 99% confidence interval for ? for each of the following situations:
(a) ?=45, ?⎯⎯⎯=76.3
____ ≤?≤ _______
(b) ?=65, ?⎯⎯⎯=76.3
____ ≤?≤ ______
(c) ?=85, ?⎯⎯⎯=76.3
______ ≤?≤ _______
Solution :
Given that,
Population standard deviation = = 14.6
(a)
Point estimate = sample mean =
= 76.3
Sample size = n = 45
At 99% confidence level
= 1 - 99%
= 1 - 0.99 = 0.01
/2
= 0.005
Z/2
= Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 14.6 / 45
)
= 5.61
At 99% confidence interval estimate of the population mean is,
- E < < + E
76.3 - 5.61 < < 76.3 + 5.61
70.69 <
< 81.91
The 99% confidence interval for
: 70.69 <
< 81.91
(b)
Point estimate = sample mean =
= 76.3
Sample size = n = 65
At 99% confidence level
= 1 - 99%
= 1 - 0.99 = 0.01
/2
= 0.005
Z/2
= Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 14.6 / 65
)
= 4.66
At 99% confidence interval estimate of the population mean is,
- E < < + E
76.3 - 4.66 < < 76.3 + 4.66
71.64 <
< 80.96
The 99% confidence interval for
: 71.64 <
< 80.96
(c)
Point estimate = sample mean =
= 76.3
Sample size = n = 85
At 99% confidence level
= 1 - 99%
= 1 - 0.99 = 0.01
/2
= 0.005
Z/2
= Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 14.6 /
85)
= 4.08
At 99% confidence interval estimate of the population mean is,
- E < < + E
76.3 - 4.08 < < 76.3 + 4.08
72.22 <
< 80.38
The 99% confidence interval for : 72.22 < < 80.38