In: Statistics and Probability
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x overbar, is found to be 106, and the sample standard deviation, s, is found to be 10.
(a) Construct a 95% confidence interval about mu if the sample size, n, is 19.
(b) Construct a 95% confidence interval about mu if the sample size, n, is 13.
(c) Construct a 90% confidence interval about mu if the sample size, n, is 19.
(d) Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
Solution :
Given that,
Point estimate = sample mean = = 106
sample standard deviation = s = 10
(a) sample size = n = 19
Degrees of freedom = df = n - 1 = 19 - 1 = 18
At 95% confidence level
= 1 - 95%
=1 - 0.95 = 0.05
/2
= 0.025
t/2,df
= t0.025,18 = 2.101
Margin of error = E = t/2,df * (s /n)
= 2.101 * ( 10 / 19 )
Margin of error = E = 4.82
The 95% confidence interval estimate of the population mean is,
- E < < + E
106 - 4.82 < < 106 + 4.82
101.18 < < 110.82
( 101.18 , 110.82 )
The 95% confidence interval is ( 101.18 , 110.82 )
(b) sample size = n = 13
Degrees of freedom = df = n - 1 = 13 - 1 = 12
At 95% confidence level
= 1 - 95%
=1 - 0.95 = 0.05
/2
= 0.025
t/2,df
= t0.025,12 = 2.179
Margin of error = E = t/2,df * (s /n)
= 2.179 * ( 10 / 13 )
Margin of error = E = 6.04
The 95% confidence interval estimate of the population mean is,
- E < < + E
106 - 6.04 < < 106 + 6.04
99.96 < < 112.04
( 99.96 , 112.04 )
The 95% confidence interval is ( 99.96 , 112.04 )
(c) sample size = n = 19
Degrees of freedom = df = n - 1 = 19 - 1 =18
At 90% confidence level
= 1 - 90%
=1 - 0.90 = 0.10
/2
= 0.05
t/2,df
= t0.05,18 = 1.734
Margin of error = E = t/2,df * (s /n)
= 1.734 * ( 10 / 19)
Margin of error = E = 3.98
The 90% confidence interval estimate of the population mean is,
- E < < + E
106 - 3.98 < < 106 + 3.98
102.02 < < 109.98
( 102.02 , 109.98 )
The 90% confidence interval is ( 102.02 , 109.98 )
(d) It is neccessary to be a normally distributed.