Step 1 :Given that the sample mean (x_bar) is 70.2, the standard deviation (sigma) is 7.6, the sample size (n) is 65, and the z-score for a 95% confidence level (z) is 1.96.
Step 2 :Calculate the margin of error using the formula: \( z \times \frac{\sigma}{\sqrt{n}} \). Substituting the given values, we get a margin of error of approximately 1.85.
Step 3 :Calculate the lower limit of the confidence interval by subtracting the margin of error from the sample mean. This gives us a lower limit of approximately 68.35.
Step 4 :Calculate the upper limit of the confidence interval by adding the margin of error to the sample mean. This gives us an upper limit of approximately 72.05.
Step 5 :Round the lower and upper limits to one decimal place to match the precision of the given sample statistics. This gives us a final 95% confidence interval for the population mean of \(\boxed{(68.4, 72.0)}\).