Answer:
With a .95 probability, the sample size that needs to be taken if the desired margin of error is .04 or less is of at least 216.
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
.
The margin of error:
![M = z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/7qc45hxeupre6iv95wgwiwshuwc7n22r9h.png)
For this problem, we have that:
![p = 0.1](https://img.qammunity.org/2021/formulas/mathematics/college/kw40q7mc1sdedh6js7lxvjskmuu9ujk7t2.png)
95% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
With a .95 probability, the sample size that needs to be taken if the desired margin of error is .04 or less is
We need a sample size of at least n, in which n is found M = 0.04.
![M = z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/7qc45hxeupre6iv95wgwiwshuwc7n22r9h.png)
![0.04 = 1.96\sqrt{(0.1*0.9)/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/zx5up6vpfv7anccr1hwlixqi9bxuafs0zx.png)
![0.04√(n) = 0.588](https://img.qammunity.org/2021/formulas/mathematics/college/3i09kada10n4pguyuvxh9041epno42durd.png)
![√(n) = (0.588)/(0.04)](https://img.qammunity.org/2021/formulas/mathematics/college/pqyhdrjmj0uqrfssby7c830bcyj2xhdrg4.png)
![√(n) = 14.7](https://img.qammunity.org/2021/formulas/mathematics/college/mc2ypvcwgx1u6dae8ta5bmgojful2wvhti.png)
![(√(n))^(2) = (14.7)^(2)](https://img.qammunity.org/2021/formulas/mathematics/college/q3qwra0h984imkgc2cpusimhnukumq55xp.png)
![n = 216](https://img.qammunity.org/2021/formulas/mathematics/college/2w4w1zefnw9ym6zbpno89hbxkhefqzsxfd.png)
With a .95 probability, the sample size that needs to be taken if the desired margin of error is .04 or less is of at least 216.