Answer: No, these response does not provide strong evidence that the 34% figure is not accurate for this region.
Explanation:
Since we have given that
p = 0.34
x= 228
n = 750
So,
![\hat{p}=(x)/(n)=(228)/(750)=0.304](https://img.qammunity.org/2020/formulas/mathematics/college/pnh5ohyu9qu0nm8wd65kxy5u7nxf3syp1y.png)
So, hypothesis would be
![H_0:p=\hat{p}\\\\H_a:p\\eq \hat{p}](https://img.qammunity.org/2020/formulas/mathematics/high-school/jqvg0xc3qqu3l4xbb7i584uy0g4x1up2oq.png)
So, test statistic value would be
![z=\frac{\hat{p}-p}{\sqrt{(p(1-p))/(n)}}\\\\z=\frac{0.304-0.38}{\sqrt{(0.38* 0.62)/(750)}}\\\\z=(-0.076)/(0.0177)\\\\z=-4.293](https://img.qammunity.org/2020/formulas/mathematics/college/1n1un0zzgpn4p2g9pfvsdvcte23ja97y4q.png)
At 95% confidence , z = 1.96
So, 1.96>-4.293.
So, we accept the null hypothesis.
No, these response does not provide strong evidence that the 34% figure is not accurate for this region.