We need to construct the "95\\%" confidence interval for the population mean "\\mu."
The critical value for "\\alpha = 0.05" and "df = n-1 = 24" degrees of freedom is "t_c = z_{1-\\alpha\/2; n-1} =2.063899."
The corresponding confidence interval is computed as shown below:
"=(325.05-2.063899\\times\\dfrac{5.5}{\\sqrt{25}},325.05+2.063899\\times\\dfrac{5.5}{\\sqrt{25}})"
"=(322.780, 327.320)"
Therefore, based on the data provided, the "95\\%" confidence interval for the population mean is "322.780<\\mu< 327.320," which indicates that we are "95\\%" confident that the true population mean "\\mu" is contained by the interval "(322.780, 327.320)."
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