Suppose the mean height in the inner-city group is known to be 66.5 inches. Find the power of the test . It is believed that the number of emergency room visits on Friday nights at hospitals follows...




Suppose the mean height in the inner-city group is known to be 66.5 inches.


Find the power of the test .




It is believed that the number of emergency room visits on Friday nights at


hospitals follows a Poisson distribution with
ì =
12. Suppose that 30 Friday nights


are sampled and the number of emergency room visits
(X)
are recorded at a particular


hospital.


(a) The hospital administration will conclude that the ER is seeing fewer patients


than other hospitals if
X
11. Use the central limit theorem to approximate


the probability that this conclusion is made when, in reality, the hospital is not


different from the general population of hospitals. What type of error occurs if


this conclusion is made?


(b) Actually, the number of ER visits on Friday nights does not follow a Poisson


distribution but instead follows an unknown distribution with
ì =
12 and



ó
= 5. Using the central limit theorem, re-compute the probability found in


(a).









Nov 29, 2021
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