The sample size formula in the case of one proportion is $n=\frac{n\hat{p}(1-\hat{p})}{m^2}$. In the planning stage for our study, we may not have good knowledge of what to expect for $$\hat{p}$$, so we can take a conservative approach to find the minimum sample size needed regardless of what $$\hat{p}$$ is. To do this, it turns out that $$\hat{p} = 0.5$$ results in the largest sample size. For a 95% confidence interval, this gives us the worst case sample size of

$n\approx\frac{4*0.5*(1-0.5)}{m^2} = \frac{1}{m^2}$

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Question prompt
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Question

1. The number of courses the student takes this semester:
2. The student's height:
3. The student's (exact) body temperature:
4. The number of siblings the student has:
5. The (exact) time the student spends doing school work during a week:
6. The number of alcoholic beverages that the student drinks in a typical week:
A Choice 1
B Choice 2
C Choice 3
D Choice D
E Choice E
F Choice F
G Choice G
H Choice H