Final answer:
a) 90% Confidence Interval: (22.4, 24.6). b) 95% Confidence Interval: (22.1, 24.9). c) 99% Confidence Interval: (21.7, 25.3). d) As confidence level increases, margin of error and confidence interval increase.
Step-by-step explanation:
To develop a confidence interval for the population mean, we use the formula:
Confidence Interval = Sample Mean ± (Critical Value)(Standard Error)
(a) For a 90% confidence level:
Sample Mean = 23.5
Sample Standard Deviation = 4.4
Critical Value = 1.645 (from a t-distribution with n-1 degrees of freedom)
Plugging in the values:
Lower Bound = 23.5 - (1.645)(4.4/√58) = 22.381
Upper Bound = 23.5 + (1.645)(4.4/√58) = 24.619
The 90% confidence interval for the population mean is (22.4, 24.6).
(b) For a 95% confidence level:
Sample Mean = 23.5
Sample Standard Deviation = 4.4
Critical Value = 1.96 (from a t-distribution with n-1 degrees of freedom)
Plugging in the values:
Lower Bound = 23.5 - (1.96)(4.4/√58) = 22.146
Upper Bound = 23.5 + (1.96)(4.4/√58) = 24.854
The 95% confidence interval for the population mean is (22.1, 24.9).
(c) For a 99% confidence level:
Sample Mean = 23.5
Sample Standard Deviation = 4.4
Critical Value = 2.626 (from a t-distribution with n-1 degrees of freedom)
Plugging in the values:
Lower Bound = 23.5 - (2.626)(4.4/√58) = 21.709
Upper Bound = 23.5 + (2.626)(4.4/√58) = 25.291
The 99% confidence interval for the population mean is (21.7, 25.3).
(d) As the confidence level increases, the margin of error and the confidence interval both increase. This is because a higher confidence level requires a larger critical value, which in turn increases the margin of error and widens the confidence interval.