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Recent studies have shown that about 39.9% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 136 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 39.9%. The standard deviation of the sampling distribution of p was found to be 0.0245. If the clinic took repeated random samples of 400 observations and found the sample proportion who were obese, into what interval should those sample proportions fall about 95% of the time? (Use the Empirical Rule. Round your answers to two decimal places.) between and

Recent studies have shown that about 39.9% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 136 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 39.9%. The standard deviation of the sampling distribution of p was found to be 0.0245. If the clinic took repeated random samples of 400 observations and found the sample proportion who were obese, into what interval should those sample proportions fall about 95% of the time? (Use the Empirical Rule. Round your answers to two decimal places.) between and

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Recent studies have shown that about 39.9% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 136 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 39.9%. The standard deviation of the sampling distribution of was found to be 0.0245. If the clinic took repeated random samples of 400 observations and found the sample proportion who were obese, into what interval should those sample proportions fall about 95% of the time? (Use the Empirical Rule. Round your answers to two decimal places.) between and
Transcribed Image Text:Recent studies have shown that about 39.9% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 136 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 39.9%. The standard deviation of the sampling distribution of was found to be 0.0245. If the clinic took repeated random samples of 400 observations and found the sample proportion who were obese, into what interval should those sample proportions fall about 95% of the time? (Use the Empirical Rule. Round your answers to two decimal places.) between and
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