Final answer:
To construct the 99% confidence interval for the population mean with a known standard deviation, use the sample mean, the z-score for the desired confidence level, and the known standard deviation. Calculating with these values, the 99% confidence interval for the population mean is approximately (77, 83).
Step-by-step explanation:
To construct a 99% confidence interval for the population mean when the standard deviation is known, we can use the formula for the confidence interval which is given by:
CI = µ ± (z * (σ/√n)),
where µ is the sample mean, z is the z-score corresponding to the given confidence level, σ is the population standard deviation, and n is the sample size.
In this case, the sample mean (µ) is 80, the population standard deviation (σ) is 8, and the sample size (n) is 40.
The z-score for a 99% confidence interval can be found using standard z-score tables or a statistical software. The z-score that corresponds to the middle 99% is approximately 2.576.
Now, we can calculate the margin of error (ME):
ME = z * (σ/√n) = 2.576 * (8/√40) ≈ 3.26.
Finally, the 99% confidence interval for the population mean is:
(µ - ME, µ + ME) = (80 - 3.26, 80 + 3.26) = (76.74, 83.26).
Rounding to whole numbers, the 99% confidence interval is (77, 83).