Answer:
1770
Explanation:
We need to estimate number of households to be sampled to construct a 99% confidence interval.
Number of households to be sampled=n=?
![n=\frac{(z_{(\alpha)/(2) })^2 pq }{E^(2) }](https://img.qammunity.org/2021/formulas/mathematics/college/hh05gfkvwcm4cbu3mpfpa09tymo0a7i6pu.png)
![z_{(\alpha)/(2) } =z_{(\0.01)/(2) }=z_(0.005 )=2.576](https://img.qammunity.org/2021/formulas/mathematics/college/vpfozs4h6g79h0ydv5oobjlc2157hv727b.png)
The proportion can be estimated as
p=x/n.
We know that 24 out of 40 households owns their home.
so, x=24 and n=40.
p=24/40
p=0.6
q=1-p=1-0.6=0.4
pq=0.6*0.4=0.24
E=0.03
![n=\frac{(z_{(\alpha)/(2) })^2 pq }{E^(2) }](https://img.qammunity.org/2021/formulas/mathematics/college/hh05gfkvwcm4cbu3mpfpa09tymo0a7i6pu.png)
![n=(2.576^2(0.24))/(0.03^2)](https://img.qammunity.org/2021/formulas/mathematics/college/bm38wxy51tfzi2x7vjswyt9lzpelvrlncq.png)
![n=(1.5926)/(0.0009)](https://img.qammunity.org/2021/formulas/mathematics/college/fighvmx5ssu39948yj808aqfvebmzkwjy8.png)
n=1769.56.
n=1770.
Thus, the number of households that need to be sampled are 1770.