In: Statistics and Probability
Clearwater National Bank wants to compare the account checking practices by the customers at two of its branch banks – Cherry Grove Branch and Beechmont Branch. A random sample of 28 and 22 checking accounts is selected from these branches respectively. The sample statistics are shown on the next slide
Cherry Grove Beechmont
n 28 22
x $1025 $910
s $150 $125
Let us develop a 99% confidence interval estimate of the difference between the population mean checking account balances at the two branch banks.
Please, show work.
We need to construct the 99% confidence interval for the difference between the population means μ1−μ2, for the case that the population standard deviations are not known. The following information has been provided about each of the samples:
Sample Mean 1 | 1025 |
Sample Standard Deviation 1 | 150 |
Sample Size 1 | 28 |
Sample Mean 2 | 910 |
Sample Standard Deviation 2 | 125 |
Sample Size 2 | 22 |
Based on the information provided, we assume that the population variances are equal, so then the number of degrees of freedom are df = n_1 + n_2 -2 = 28 + 22 - 2 = 48
The critical value for α=0.01 and df = 48 degrees of freedom is t_c = 2.682 . The corresponding confidence interval is computed as shown below:
Since the population variances are assumed to be equal, we need to compute the pooled standard deviation, as follows:
Since we assume that the population variances are equal, the standard error is computed as follows:
Now, we finally compute the confidence interval:
CI = (8.312, 221.688)