In: Statistics and Probability
A simple random sample of n = 54 provided a sample mean of 22.5 and a sample standard deviation of 4.4.
Develop a 90% confidence interval for the population mean. (Round to two decimal places) __________and__________
Develop a 95% confidence interval for the population mean. (Round to two decimal places) __________and__________
Develop a 99% confidence interval for the population mean. (Round to two decimal places) __________and__________
Solution :
Given that,
Point estimate = sample mean = = 22.5
sample standard deviation = s = 4.4
sample size = n = 54
Degrees of freedom = df = n - 1 = 54 - 1 = 53
a) At 90% confidence level
= 1 - 90%
=1 - 0.90 =0.10
/2
= 0.05
t/2,df
= t0.05,53 = 1.674
Margin of error = E = t/2,df * (s /n)
= 1.674 * (4.4 / 54)
Margin of error = E = 1.00
The 90% confidence interval estimate of the population mean is,
± E
= 22.5 ± 1.00
( 21.50, 23.50 )
b) At 95% confidence level
= 1 - 95%
=1 - 0.95 =0.05
/2
= 0.025
t/2,df
= t0.025,53 = 2.006
Margin of error = E = t/2,df * (s /n)
= 2.006 * (4.4 / 54)
Margin of error = E = 1.20
The 95% confidence interval estimate of the population mean is,
± E
= 22.5 ± 1.20
( 21.30, 23.70 )
c) At 99% confidence level
= 1 - 99%
=1 - 0.99 =0.01
/2
= 0.005
t/2,df
= t0.005,53 = 2.672
Margin of error = E = t/2,df * (s /n)
= 2.672 * (4.4 / 54)
Margin of error = E = 1.60
The 99% confidence interval estimate of the population mean is,
± E
= 22.5 ± 1.60
( 20.90, 24.10)