Answer:
a) 0.505,0.995
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.
![\pi \pm z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/fmbc52n1wcsstokpszqrr2jempwxl2no1b.png)
In which
z is the zscore that has a pvalue of
.
For this problem, we have that:
![n = 12, \pi = (9)/(12) = 0.75](https://img.qammunity.org/2021/formulas/mathematics/college/93din9as4b5stvz3fw80weq3kt8jb2qta1.png)
95% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
The lower limit of this interval is:
![\pi - z\sqrt{(\pi(1-\pi))/(n)} = 0.75 - 1.96\sqrt{(0.75*0.25)/(12)} = 0.505](https://img.qammunity.org/2021/formulas/mathematics/college/p4w7w2kkhg094yky1nhval683pduuc85g5.png)
The upper limit of this interval is:
![\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.75 + 1.96\sqrt{(0.75*0.25)/(12)} = 0.995](https://img.qammunity.org/2021/formulas/mathematics/college/ccb4s28anm0cg4i5k7pksoa8q74x10zxc3.png)
So the correct answer is:
a) 0.505,0.995