Answer: [tex](0.163,\ 0.189)[/tex]
Step-by-step explanation:
The confidence interval for population proportion(p) is given by :-
[tex]\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
, where [tex]\hat{p}[/tex] = Sample proportion.
n= Sample size.
z* = Critical value.
Let p = Proportion of adults in the U.S. who have donated blood in the past two years.
As per given , we have
n= 2322
Sample proportion of adults in the U.S. who have donated blood in the past two years. : [tex]\hat{p}=\dfrac{408}{2322}\approx0.1757[/tex]
By z-table , the critical value for 90% confidence : z*= 1.645
Then, the 90% confidence interval for the population proportion of adults in the U.S. who have donated blood in the past two years will be
[tex]0.1757\pm ( 1.645)\sqrt{\dfrac{0.1757(1-0.1757)}{2322}}[/tex]
[tex]0.1757\pm ( 1.645)\sqrt{0.0000623727433247}[/tex]
[tex]0.1757\pm ( 1.645)(0.00789764163056)[/tex]
[tex]0.1757\pm 0.013[/tex]
[tex]=(0.1757- 0.013,\ 0.1757+ 0.013)[/tex]
[tex]=(0.1627,\ 0.1887)\approx(0.163,\ 0.189)[/tex]
Hence, the 90% confidence interval for the population proportion of adults in the U.S. who have donated blood in the past two years. = [tex](0.163,\ 0.189)[/tex]