ANSWER:
(0.356, 0.482)
Explanation:
The first thing is to calculate the proportion with the data of the statement:
![\begin{gathered} p=(x)/(n)=(70)/(167) \\ \\ p=0.4192 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/nghn1hchnb5y83ehzgma4wuwui55svqio8.png)
For a 90% confidence interval, we have that the value of Z is the following:
![\begin{gathered} \alpha=1-90\% \\ \\ \alpha=1-0.9=0.1 \\ \\ \alpha\text{/2}=(0.1)/(2)=0.05 \\ \text{ } \\ \text{The corresponding value of Z would be:} \\ \\ Z_{\alpha\text{/2}}=1.645 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/losz1lrpusm9p5af1nemgly2qeinjpbqrb.png)
We calculate the interval as follows:
![\begin{gathered} \text{ Upper limit }=p+Z_{\alpha\text{/2}}\cdot\sqrt{(p\cdot(1-p))/(n)}=0.4192+1.645\cdot\sqrt{(0.4192\cdot\left(1-0.4192\right))/(167)}\:=0.482 \\ \\ \text{ Lower limit}=p-Z_{\alpha\text{/2}}\cdot\sqrt{(p\cdot(1-p))/(n)}=0.4192-1.645\cdot\sqrt{(0.4192\cdot\left(1-0.4192\right))/(167)}\:=0.356 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/d4suey980wmi80f65r2cgp7gmny59cq72t.png)
The 90% confidence interval for the proportion of all adults in the United States is (0.356, 0.482)