Answer:
The 99% confidence interval estimate of the percentage of girls born is (0.8, 0.9).
b)Yes, the proportion of girls is significantly different from 0.5.
Step-by-step 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{\frac{\pi(1-\pi)}{n}}](https://tex.z-dn.net/?f=%5Cpi%20%5Cpm%20z%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7Bn%7D%7D)
In which
Z is the zscore that has a pvalue of
.
For this problem, we have that:
In the study 340 babies were born, and 289 of them were girls. This means that ![n = 340, \pi = \frac{289}{340} = 0.85](https://tex.z-dn.net/?f=n%20%3D%20340%2C%20%5Cpi%20%3D%20%5Cfrac%7B289%7D%7B340%7D%20%3D%200.85)
Use the sample data to construct a 99% confidence interval estimate of the percentage of girls born.
So
, z is the value of Z that has a pvalue of
, so
.
The lower limit of this interval is:
![\pi - z\sqrt{\frac{\pi(1-\pi)}{340}} = 0.85 - 2.575\sqrt{\frac{0.85*0.15}{400}} = 0.80](https://tex.z-dn.net/?f=%5Cpi%20-%20z%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7B340%7D%7D%20%3D%200.85%20-%202.575%5Csqrt%7B%5Cfrac%7B0.85%2A0.15%7D%7B400%7D%7D%20%3D%200.80)
The upper limit of this interval is:
![\pi + z\sqrt{\frac{\pi(1-\pi)}{340}} = 0.85 + 2.575\sqrt{\frac{0.85*0.15}{400}} = 0.90](https://tex.z-dn.net/?f=%5Cpi%20%2B%20z%5Csqrt%7B%5Cfrac%7B%5Cpi%281-%5Cpi%29%7D%7B340%7D%7D%20%3D%200.85%20%2B%202.575%5Csqrt%7B%5Cfrac%7B0.85%2A0.15%7D%7B400%7D%7D%20%3D%200.90)
The 99% confidence interval estimate of the percentage of girls born is (0.8, 0.9).
Does the method appear to be effective?
b)Yes, the proportion of girls is significantly different from 0.5.