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?
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?
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?
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?
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
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