In: Statistics and Probability
A simple random sample with n=50 provided a sample mean of 2.3 and a sample standard deviation of 4.7.
a. Develop a 90% confidence interval for the population mean (to 2 decimals). ,
b. Develop a 95% confidence interval for the population mean (to 2 decimals). ,
c. Develop a 99% confidence interval for the population mean (to 2 decimals). ,
Solution:
Part a
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
We are given
Xbar = 2.3
S = 4.7
n = 50
df = n – 1 = 50 – 1 = 49
Confidence level = 90%
Critical t value = 1.6766
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 4.7 ± 1.6766*4.7/sqrt(50)
Confidence interval = 4.7 ± 1.6766*0.664680374
Confidence interval = 4.7 ± 1.1144
Lower limit = 4.7 - 1.1144 = 1.19
Upper limit = 4.7 + 1.1144 = 3.41
Confidence interval = (1.19, 3.41)
Part b
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
We are given
Xbar = 2.3
S = 4.7
n = 50
df = n – 1 = 50 – 1 = 49
Confidence level = 95%
Critical t value = 2.0096
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 4.7 ± 2.0096*4.7/sqrt(50)
Confidence interval = 4.7 ± 2.0096*0.664680374
Confidence interval = 4.7 ± 1.3357
Lower limit = 4.7 - 1.3357= 0.96
Upper limit = 4.7 + 1.3357= 3.64
Confidence interval = (0.96, 3.64)
Part c
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
We are given
Xbar = 2.3
S = 4.7
n = 50
df = n – 1 = 50 – 1 = 49
Confidence level = 99%
Critical t value = 2.68
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 4.7 ± 2.68*4.7/sqrt(50)
Confidence interval = 4.7 ± 2.68*0.664680374
Confidence interval = 4.7 ± 1.7813
Lower limit = 4.7 - 1.7813= 0.52
Upper limit = 4.7 + 1.7813= 4.08
Confidence interval = (0.52, 4.08)
AS confidence level increases, the width of the confidence interval also increases.