Answer:
The 95% (two-sided) confidence interval for the proportion of all dies that pass the probe is (0.462, 0.566).
Explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence interval
, we have the following confidence interval of proportions.
![\pi \pm z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2020/formulas/mathematics/college/z6qk8t9ly7i0gl9n718ma96yhz3hm4i2sq.png)
In which
Z is the zscore that has a pvalue of
.
For this problem, we have that:
356 dies were examined by an inspection probe and 183 of these passed the probe. This neabs that
![n = 356, \pi = (183)/(356) = 0.514](https://img.qammunity.org/2020/formulas/mathematics/college/c19xf9wcuimu7tnkfgf6p1nok9464b7iv0.png)
95% confidence interval
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)} = 0.514 - 1.96\sqrt{(0.514*0.486)/(356)} = 0.462](https://img.qammunity.org/2020/formulas/mathematics/college/ko3zughmi1hfkze3zh2jzhk17k5vco5j80.png)
The upper limit of this interval is:
![\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.514 + 1.96\sqrt{(0.514*0.486)/(356)}{119}} = 0.566](https://img.qammunity.org/2020/formulas/mathematics/college/q24cc8nojcdc02muel322p5971rc7fiw22.png)
The 95% (two-sided) confidence interval for the proportion of all dies that pass the probe is (0.462, 0.566).