Final answer:
The 90% confidence interval for the population mean μ, given n=21,
=41, and s=16, is 39.1, 42.9.
Step-by-step explanation:
To construct a confidence interval for the population mean μ, we use the formula
, where
is the sample mean, s is the sample standard deviation, n is the sample size, and z is the critical value from the standard normal distribution corresponding to the desired confidence level.
Given n=21,
=41, and s=16, we first find the critical value. For a 90% confidence interval, the critical value is approximately 1.645. Now, plug these values into the formula:
![\[\begin{equation}\bar{x} \pm 1.645 * (16)/(√(21))\end{equation}\]](https://img.qammunity.org/2024/formulas/mathematics/high-school/q6aec3jv2qblgees96asmnrk3urpx1tuix.png)
Calculating the expression inside the parentheses, we get
. Multiplying this by 1.645 gives approximately 5.72. So, the margin of error is 5.72. Now, subtract and add this margin of error to the sample mean:
![\[\begin{equation}41 - 5.72 \approx 39.1 \quad \text{and} \quad 41 + 5.72 \approx 42.9\end{equation}\]](https://img.qammunity.org/2024/formulas/mathematics/high-school/thmpvbjnxk2tcs9c588fcuzfrij54yl9fp.png)
Therefore, the 90% confidence interval for μ is 39.1, 42.9. This means we can be 90% confident that the true population mean falls within this interval.