Eagle flu can be devastating for those who are hospitalized. Researchers at JJ Health Services took a random sample of n=2561 hospitalized Eagle flu patients out of a very large population of hospitalized Eagle flu patients. Of these x = 1497 patients showed a symptom of very high fever (VHF). Let p be the (unknown) true proportion of hospitalized Eagle flu patients who show a symptom of VHF. We want to estimate p. X is the random variable representing the number of sampled Eagle flu patients with VHF g) If we are creating a 92% classical confidence interval for p based upon the sample size of 2561, then what is the longest possible length of this interval?

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Chapter1: Combinatorial Analysis
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Eagle flu can be devastating for those who are hospitalized. Researchers at JJ Health Services took a random sample of n=2561 hospitalized Eagle flu patients out of a very large population of hospitalized Eagle flu patients. Of these x = 1497 patients showed a symptom of very high fever (VHF). Let p be the (unknown) true proportion of hospitalized Eagle flu patients who show a symptom of VHF. We want to estimate p. X is the random variable representing the number of sampled Eagle flu patients with VHF

g) If we are creating a 92% classical confidence interval for p based upon the sample size of 2561, then what is the longest possible length of this interval?

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