Researchers selected 885 patients at random among those who take a certain widely-used prescription drug daily. In a clinical trial, 18 out of the 885 patients complained of flulike symptoms. Suppose that it is known that 1.5% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 1.5% of this drug's users experience flulike symptoms as a side effect at the a=0.05 level of significance? Because npo (1-Po) = ... 10, the sample size is selected at random, all of the requirements for testing the hypothesis sample (Round to one decimal place as needed.) 5% of the population size, and the patients in the satisfied.

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Author:Amos Gilat
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Researchers selected 885 patients at random among those who take a certain widely-used prescription drug daily. In a
clinical trial, 18 out of the 885 patients complained of flulike symptoms. Suppose that it is known that 1.5% of patients
taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 1.5% of
this drug's users experience flulike symptoms as a side effect at the x = 0.05 level of significance?
Because npo (1 - Po) =
10, the sample size is
selected at random, all of the requirements for testing the hypothesis
sample
(Round to one decimal place as needed.)
5% of the population size, and the patients in the
▼satisfied.
Transcribed Image Text:Researchers selected 885 patients at random among those who take a certain widely-used prescription drug daily. In a clinical trial, 18 out of the 885 patients complained of flulike symptoms. Suppose that it is known that 1.5% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 1.5% of this drug's users experience flulike symptoms as a side effect at the x = 0.05 level of significance? Because npo (1 - Po) = 10, the sample size is selected at random, all of the requirements for testing the hypothesis sample (Round to one decimal place as needed.) 5% of the population size, and the patients in the ▼satisfied.
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