Answer:
![\hat p = (Lower+Upper)/(2)](https://img.qammunity.org/2021/formulas/mathematics/college/dz69re2rl7o4hwoxe7ft496sutlvagyrz6.png)
And replacing the info from the problem we have:
![\hat p = (0.018+0.046)/(2)= 0.032](https://img.qammunity.org/2021/formulas/mathematics/college/h545uql6bo7vhk8qna5mchdgtaa64odr2f.png)
So then the best estimator for the true proportion p is given by
or equivalent to 3.2 %
Explanation:
We want to find a confidence interval for a proportion p who represent the parameter of interest.
The confidence interval would be given by this formula:
![\hat p \pm z_(\alpha/2) \sqrt{(\hat p(1-\hat p))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/middle-school/b6qa91g23jajakfycsubpibk94btoa3rwm.png)
For this case the 90% confidence interval is given by (1.8%=0.018, 4.6%=0.046) after apply the last formula
Since the confidence interval is symmetrical we can estimate the point estimator of the true percentage with this formula:
![\hat p = (Lower+Upper)/(2)](https://img.qammunity.org/2021/formulas/mathematics/college/dz69re2rl7o4hwoxe7ft496sutlvagyrz6.png)
And replacing the info from the problem we have:
![\hat p = (0.018+0.046)/(2)= 0.032](https://img.qammunity.org/2021/formulas/mathematics/college/h545uql6bo7vhk8qna5mchdgtaa64odr2f.png)
So then the best estimator for the true proportion p is given by
or equivalent to 3.2 %