Ginosca A. answered 06/23/22
Experienced University/College and Test Prep Math Professor -Bilingual
The formula for the confidence interval for the population proportion p is p̂ ± zα/2 √((p̂(1-p̂))/n).
Your sample size n is 176 and your sample proportion p̂ is 0.16.
Since the confidence level is 95%, the significance level α is 5% or 0.05. When drawing a bell shape the confidence interval would be in the center of the bell and they are going to be two tails. Each tail will have an area of 0.025 (0.05÷2). Then with software, you can find which is the critical value zα/2. Manually you can use a left tail z table and look at 0.0250 in the probabilities and identify its z score. It will be -1.96. You take it as it is positive because in the formula we have ±. Then, the critical values are -1.96 and 1.96.
Applying the formula:
p̂ ± zα/2 √((p̂(1-p̂))/n)
0.16 ± 1.96 √((0.16(1-0.16))/176)
0.16 ± 1.96 (0.028)
0.16 ± 0.054
(0.106,0.214)
The confidence interval for the population proportion p is (0.106,0.214) which means that we are 95% confident that the population proportion p is between 10.6% and 21.4%. If you are asked for the standard error, well it is √((p̂(1-p̂))/n) = √((0.16(1-0.16))/176) = 0.028. If you are asked for the margin of error, it is zα/2 √((p̂(1-p̂))/n) = 1.96 √((0.16(1-0.16))/176) = 1.96 (0.028) = 0.054.