Final answer:
The 99% confidence interval for the population mean, assuming a normally distributed population, with n=23, x-bar=46, and s=13, is approximately (39.0, 53.0). This is calculated using the z-score for 99% confidence and the standard error.
Step-by-step explanation:
To construct a confidence interval at a 99% confidence level for the population mean μ, when given a sample size n=23, sample mean μ=46, and standard deviation s=13, we need to use the appropriate z-score for a 99% confidence level. For a 99% confidence interval, the z-score is approximately 2.576.
The formula for the confidence interval is:
- Calculate the standard error: SE = s / √n = 13 / √23
- Multiply the standard error by the z-score: Margin of Error (MOE) = z × SE
- Add and subtract the MOE from the sample mean to get the confidence interval: Lower Limit = μ - MOE, Upper Limit = μ + MOE
Here's the calculation step-by-step:
- SE = 13 / √23 ≈ 2.7099
- MOE = 2.576 × 2.7099 ≈ 6.9765
- Lower Limit = 46 - 6.9765 ≈ 39.0, Upper Limit = 46 + 6.9765 ≈ 53.0
So the 99% confidence interval for the population mean is approximately (39.0, 53.0).