sample size = 0.25 * (z (1-alpha/2) / E)^2
alpha = (100 - 93)/100 = 0.07
1 - alpha/2 = 0.965
z alpha/2 = z score corresponding to 0.965 probability = 1.81
E = 0.06 (percentage converted to decimal)
sample size = 0.25 * (1.81/0.06)^2 = 227.5 ~ 228
James B.
asked 03/21/22A health insurance company wants to know the proportion of admitted hospital patients who
have a type 2 diabetes at Orlando Health hospitals. How large of a sample should be taken to
estimate the proportion within 6% at 93% confidence?
sample size = 0.25 * (z (1-alpha/2) / E)^2
alpha = (100 - 93)/100 = 0.07
1 - alpha/2 = 0.965
z alpha/2 = z score corresponding to 0.965 probability = 1.81
E = 0.06 (percentage converted to decimal)
sample size = 0.25 * (1.81/0.06)^2 = 227.5 ~ 228
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