Answer:
The cost difference would be of $22,067.5
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 is:
![M = z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/7qc45hxeupre6iv95wgwiwshuwc7n22r9h.png)
In this question, we have that:
![\pi = 0.43](https://img.qammunity.org/2021/formulas/mathematics/college/yeg0h1uw9nmizj1syfxn6l8mgj3btgktfi.png)
I think there was a small typing mistake, and the confidence level was omitted. I will use a 95% confidence level.
95% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
How many people are needed for a margin of error of 4 percentage points?
This is n when M = 0.04. So
![M = z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/7qc45hxeupre6iv95wgwiwshuwc7n22r9h.png)
![0.04 = 1.96\sqrt{(0.43*0.57)/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/fnmdlfu3mpga3r1k8r761kxk0vqkrplecl.png)
![0.04√(n) = 1.96√(0.43*0.57)](https://img.qammunity.org/2021/formulas/mathematics/college/25enm17septdl7v8e48sdu383gwq5czif2.png)
![√(n) = (1.96√(0.43*0.57))/(0.04)](https://img.qammunity.org/2021/formulas/mathematics/college/gm0y4a2r8i5aqqh1qtdskaei7lhcpnf3jd.png)
![(√(n))^(2) = ((1.96√(0.43*0.57))/(0.04))^(2)](https://img.qammunity.org/2021/formulas/mathematics/college/q2rs7n9i0op9n098qrh8o3bxx9gz0hnj6c.png)
![n = 588.5](https://img.qammunity.org/2021/formulas/mathematics/college/q0ifqxfo0ghgp9g8lcw9rkhbqjkq7ew1m3.png)
Rounding up
For a margin of error of 4 percentage points, 589 people will be sampled.
How many people are needed for a margin of error of 1 percentage point?
This is n when M = 0.01. So
![M = z\sqrt{(\pi(1-\pi))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/7qc45hxeupre6iv95wgwiwshuwc7n22r9h.png)
![0.01 = 1.96\sqrt{(0.43*0.57)/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/lkwbwj6kz73z4wmuqse1ue98qns8u108rj.png)
![0.01√(n) = 1.96√(0.43*0.57)](https://img.qammunity.org/2021/formulas/mathematics/college/h8udj1esx8g5ucdq9ul46q6un3svplzbo5.png)
![√(n) = (1.96√(0.43*0.57))/(0.01)](https://img.qammunity.org/2021/formulas/mathematics/college/1uqjwa8k35amjo7dqoksub03rd0084ezv7.png)
![(√(n))^(2) = ((1.96√(0.43*0.57))/(0.01))^(2)](https://img.qammunity.org/2021/formulas/mathematics/college/o466xi40pmx6pgokb8sm1etvdt0898agrw.png)
![n = 9415.7](https://img.qammunity.org/2021/formulas/mathematics/college/2f0kubr4yt2jc2t3cuhaz3flr7hpsorgvu.png)
Rounding up
For a margin of error of 1 percentage point, 9416 people will be sampled.
What would be the cost difference for a poll designed to have a margin of error of 1 percentage point vs. that of a poll designed to have a margin of error of 4 percentage points?
Cost per person $2.50.
Margin of error of 0.01: Cost of 9416*2.50 = $23,540
Margin of error of 0.04: Cost of 589*2.50 = $1472.5
Difference:
23540 - 1472.5 = $22,067.5
The cost difference would be of $22,067.5