Step 1 :Given: \(n = 24\), \(\bar{x} = 34\), \(s = 6\), and a 98% confidence level.
Step 2 :The Z-score for a 98% confidence level is approximately 2.33 (you can find this value in a standard Z-table).
Step 3 :Substitute these values into the formula for the confidence interval: \(CI = \bar{x} \pm Z * (s/\sqrt{n})\)
Step 4 :Calculate the value inside the parentheses: \(6/\sqrt{24} = 1.224744871\)
Step 5 :Multiply this by the Z-score: \(2.33 * 1.224744871 = 2.85365347\)
Step 6 :So, the confidence interval is: \(CI = 34 \pm 2.85365347\)
Step 7 :This gives us a range from: \(34 - 2.85365347 = 31.14634653 \approx 31.1\) (to one decimal place)
Step 8 :to: \(34 + 2.85365347 = 36.85365347 \approx 36.9\) (to one decimal place)
Step 9 :So, the 98% confidence interval is \(\boxed{(31.1, 36.9)}\)
Step 10 :Can we conclude that the population mean is at least 29.04? No, because 29.04 is not within our confidence interval.
Step 11 :Can we conclude that the population mean is no more than 38.56? Yes, because 38.56 is greater than the upper limit of our confidence interval.