Answer:
[tex]\hat p = \frac{Lower+Upper}{2}[/tex]
And replacing the info from the problem we have:
[tex]\hat p = \frac{0.018+0.046}{2}= 0.032[/tex]
So then the best estimator for the true proportion p is given by [tex]\hat p = 0.032 [/tex] or equivalent to 3.2 %
Step-by-step 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:
[tex]\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}[/tex]
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:
[tex]\hat p = \frac{Lower+Upper}{2}[/tex]
And replacing the info from the problem we have:
[tex]\hat p = \frac{0.018+0.046}{2}= 0.032[/tex]
So then the best estimator for the true proportion p is given by [tex]\hat p = 0.032 [/tex] or equivalent to 3.2 %